Are You Buying AI Per Seat Or Per Token? That's the Wrong Question. Ask This Instead.

Sun, 25 Oct 2026 17:21:35 GMT

Summary: Per seat or per token? Enterprise AI deals keep stalling on SaaS-style pricing questions, and I think they're the wrong questions. AI is a new economic input, and your AI ROI depends on whether your company, and you, know where to put it. Full post: https://natesnewsletter.substack.com/p/saas-pricing-ai-roi?utm_source=youtube&utm_medium=video&utm_campaign=saas-pricing-ai-roi-launch&utm_content=description Nate's Library MCP (every prompt kit and guide, inside the AI you already use): https://unl.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Per seat or per token is the wrong question
00:27 — A new economic input and the Cedar example
01:19 — What this means for CFOs and for your job
02:49 — From user of AI to manager of AI
03:16 — Why pricing comes up at all
04:46 — Why you are probably under-invested in AI
06:33 — A hypothetical equipment company
08:50 — Forward-deployed engineering
10:50 — Deeper partnerships and outcome pricing
15:33 — Token pricing stays: Shopify and Block
18:13 — Be a manager of AI
19:52 — A word for leadership

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20261025
Added: Sun, 25 Oct 2026 17:21:35 GMT
Duration: 22:31

There Are Only 5 Safe Places to Build in AI Right Now. Are You in One?

Sun, 25 Oct 2026 11:13:18 +0000

Summary: Full Story w/ Prompts: ___________________ What's really happening inside the app builder landscape when Lovable raises $6.6 billion and ships 100,000 new projects every day but most of these companies are functionally thin wrappers? The common story is that AI makes building free — but the reality is that the middleware trap is playing out in real time, and only companies that own something structural will survive. In this video, I share the inside scoop on the five durable verticals that AI ca

Key takeaways: The episode covers the topic indicated by its title and source description; listen for the complete walkthrough, examples, and context.

Chapters: YouTube chapter data was unavailable during processing.

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Useful links: No additional links were included because the source description did not provide reliably identifiable links.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 2026-04-10
Added: Sun, 25 Oct 2026 11:13:18 +0000
Duration: 26:11

OpenClaw Full Tutorial: Set up your first AI employee!

Sun, 25 Oct 2026 11:13:18 +0000

Summary: I've used OpenClaw for over 300 hours. Here's every lesson I've ever learned. FULL OpenClaw bootcamp in the Vibe Coding Academy coming up: Sign up for my free newsletter: Follow my X: Henry Intelligent Machines (my new startup): My $300k/yr AI app: Timestamps: 0:00 Intro 1:05 What OpenClaw is 3:36 Where to host OpenClaw 7:41 Models 13:06 Installation 13:48 Communication channels 17:13 Your use cases 22:59 My use cases 29:19 OpenClaw vs Claude Code 30:48 OpenClaw vs Hermes 35:31 Cost savings 36:4

Key takeaways: The episode covers the topic indicated by its title and source description; listen for the complete walkthrough, examples, and context.

Chapters: YouTube chapter data was unavailable during processing.

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Useful links: No additional links were included because the source description did not provide reliably identifiable links.

Source: Original YouTube video
Channel: Alex Finn — channel page
Original YouTube publication date: 2026-04-21
Added: Sun, 25 Oct 2026 11:13:18 +0000
Duration: 46:48

The best Claude Design workflow you’ll ever see…

Sun, 25 Oct 2026 03:03:18 GMT

Summary: You will become a MASTER designer if you use Claude Design with ChatGPT Image 2 FULL Claude bootcamp in the Vibe Coding Academy coming up: https://vibecodingacademy.dev Sign up for my free newsletter: https://www.alexfinn.ai/subscribe Follow my X: https://x.com/AlexFinn Henry Intelligent Machines (my new startup): https://meethenry.ai My $300k/yr AI app: https://www.creatorbuddy.io/ Timestamps: 0:00 Intro 0:43 This workflow 2:57 Using ChatGPT Image to make designs 15:04 Using Claude Design 19:58.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Intro
00:43 — This workflow
02:57 — Using ChatGPT Image to make designs
15:04 — Using Claude Design
19:58 — Building prototype in Claude Design

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: Alex Finn — channel page
Original YouTube publication date: 20260422
Added: Sun, 25 Oct 2026 03:03:18 GMT
Duration: 23:48

ChatGPT 5.5 Codex: I can't believe they did this...

Sun, 25 Oct 2026 03:02:42 GMT

Summary: ChatGPT 5.5 Codex just dropped. Here is a master workflow and how it compares to Claude Opus 4.7 in Claude Code FULL Claude bootcamp in the Vibe Coding Academy coming up: https://vibecodingacademy.dev Sign up for my free newsletter: https://www.alexfinn.ai/subscribe Follow my X: https://x.com/AlexFinn Henry Intelligent Machines (my new startup): https://meethenry.ai My $300k/yr AI app: https://www.creatorbuddy.io/ Prompt: I want to build a prompt library app. The user should be able to save comm.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Intro
00:44 — Why ChatGPT 5.5 is amazing
08:09 — Building an app with ChatGPT 5.5
16:23 — Advanced workflow
22:02 — Compared to Claude Opus 4.7

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: Alex Finn — channel page
Original YouTube publication date: 20260425
Added: Sun, 25 Oct 2026 03:02:42 GMT
Duration: 30:32

Hermes Agent w/ ChatGPT 5.5 is literally magic

Sun, 25 Oct 2026 03:01:57 GMT

Summary: Hermes Agent with ChatGPT 5.5 is excellent. Here is your full tutorial with use cases. FULL Claude bootcamp in the Vibe Coding Academy coming up: https://vibecodingacademy.dev Sign up for my free newsletter: https://www.alexfinn.ai/subscribe Follow my X: https://x.com/AlexFinn Henry Intelligent Machines (my new startup): https://meethenry.ai My $300k/yr AI app: https://www.creatorbuddy.io/ Heremes Agent: hermes-agent.nousresearch.com Timestamps: 0:00 Intro 0:39 Differences with OpenClaw 3:25 Her.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Intro
00:39 — Differences with OpenClaw
03:25 — Hermes setup
06:29 — Use Cases
14:49 — Find your own use cases
15:50 — Hermes or OpenClaw

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: Alex Finn — channel page
Original YouTube publication date: 20260428
Added: Sun, 25 Oct 2026 03:01:57 GMT
Duration: 17:17

Black October Isn't Just A PHP Bug. Attackers Want Your AI Keys.

Sat, 24 Oct 2026 16:49:13 GMT

Summary: AI agents are now finding and exploiting software weaknesses at scale, and a stolen AI API key can run up your bill. Here's what this week's security failures mean for your accounts, and what to update, cut, and check this week. Full post: https://natesnewsletter.substack.com/p/ai-agents-cybersecurity?utm_source=youtube&utm_medium=video&utm_campaign=ai-agents-cybersecurity-launch&utm_content=description Nate's Library MCP (every prompt kit and guide, inside the AI you already use): https://unloc.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Why stolen AI keys matter this week
01:39 — Agents are native to computers
02:07 — The PHP emergency fixes
03:32 — eMudhra and the secret key that was 4
04:41 — How defenders responded
06:37 — How an AI agent attacks and defends
08:43 — Why maintenance is hard
10:32 — Check the apps connected to your accounts
12:42 — The LiteLLM compromise at company scale
14:32 — How to pick a model for cyber defense
17:34 — When AI tools leak credentials
23:52 — Five things to do this week

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20261024
Added: Sat, 24 Oct 2026 16:49:13 GMT
Duration: 25:46

Did Claude Duet just kill Grok Bot?

Thu, 22 Oct 2026 22:02:18 GMT

Summary: Anthropic just released Claude Duet and it's incredible Join the Claude Duet waitlist: https://claude.com/resources/articles/claude-duet Check out my autonomous business: https://agentusecases.ai/ Sign up for my free newsletter: https://www.shipitweekly.com/ Follow my Instagram! http://instagram.com/alexfinnai FULL Local AI bootcamp in the Vibe Coding Academy: https://www.skool.com/vibe-coding-academy 2nd Youtube Channel: https://youtube.com/@AlexFinnLabsOfficial Follow my X: https://x.com/AlexF.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Intro
00:24 — What is Claude Duet
03:54 — Doing work in Claude Duet
05:50 — Task breakdown mode
07:40 — Duet is the FSD of AI
10:24 — Why this is the future
13:16 — More features
13:55 — Weaknesses
17:00 — Which agent you should be using

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: Alex Finn — channel page
Original YouTube publication date: 20261022
Added: Thu, 22 Oct 2026 22:02:18 GMT
Duration: 19:21

The greatest AI engineering workflow of all time revealed (Herdr)

Thu, 22 Oct 2026 15:55:05 GMT

Summary: Here is the best AI engineering workflow ever using Herdr

Key takeaways: This episode presents the creator’s discussion and demonstrations as described in the source description.

Chapters:
00:00 — Intro
00:52 — The interface
07:52 — Setting it up
11:38 — Building a game
15:56 — Building custom apps for Herdr
18:03 — Final test
19:54 — Herdr HUD

Transcript: Captions were detected by yt-dlp but could not be downloaded during this run (HTTP 429); no transcript text is included.

Useful links from the source:
No additional links were identifiable.

Source: Original YouTube video
Channel: Alex Finn — channel page
Original YouTube publication date: 20261021
Added: Thu, 22 Oct 2026 15:55:05 GMT
Duration: 21:34

I Read Goodfire's New Essay. AI May Be Far Easier To Understand Than We Thought.

Thu, 22 Oct 2026 15:55:05 GMT

Summary: AI safety may have a real reason for optimism. Goodfire's new research suggests the inside of an AI model is much more understandable than researchers assumed, and if that holds up, AI interpretability could change what we can trust AI to do.

Key takeaways: This episode presents the creator’s discussion and demonstrations as described in the source description.

Chapters:
00:00 — Why Goodfire's research is good news for AI safety
01:26 — The 99 to 100% finding in a vision model's final layer
02:01 — What Goodfire is and four changes to watch
02:44 — The black box problem I saw at Amazon
04:42 — What interpretability is and what an AI neuron is
06:01 — The cats and cars neuron, reread
07:26 — A preliminary 90% of neuron poles in a language model
08:01 — Forecast 1: catching reward hacking and misalignment
11:55 — Forecast 2: building more capable models safely
13:28 — Forecast 3: explainable AI for law, health, and finance
15:58 — Forecast 4: correcting what an algorithm learned about you
17:52 — Don't just buy the pessimism

Transcript: Captions were detected by yt-dlp but could not be downloaded during this run (HTTP 429); no transcript text is included.

Useful links from the source:
https://natesnewsletter.substack.com/p/mechanistic-interpretability-explained?utm_source=youtube&utm_medium=video&utm_campaign=mechanistic-interpretability-explained-launch&utm_content=description
https://unlock-ai.natebjones.com/guides/how-to-connect-nates-library?utm_source=youtube&utm_medium=video&utm_campaign=mechanistic-interpretability-explained-launch&utm_content=description

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20261022
Added: Thu, 22 Oct 2026 15:55:05 GMT
Duration: 19:34

This New Method Just Killed RAM Limitations

Thu, 22 Oct 2026 03:42:44 GMT

Summary: Full Story w/ Prompts: https://natesnewsletter.substack.com/p/your-gpus-just-got-6x-more-valuable?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________ What's really happening inside AI memory — and why it's the bottleneck threatening every LLM deployment at scale? The common story is that we just need more chips — but the reality is more interesting: a new Google paper may have just changed the math without touching the hardware. In this video, I share the inside.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Introduction: TurboQuant and the Memory Problem
01:15 — The AI Memory Crisis, Explained
03:00 — Why Memory Supply Is Structurally Constrained
05:00 — Demand Explosion: Agents and Token Consumption
06:30 — How Traditional Compression Fails
08:00 — TurboQuant Part One: PolarQuant Rotation
09:30 — TurboQuant Part Two: QJL Error Correction
11:00 — Test Results Across Real LLM Tasks
12:30 — Why TurboQuant Isn't in Production Yet What Is the KV Cache?
15:30 — Percepta: Embedding Compute Inside an LLM
17:00 — Strategic Implications: Google, NVIDIA, Enterprises
18:30 — Five Angles Attacking the Memory Problem
20:00 — Sovereign Memory: Your Takeaway

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260411
Added: Thu, 22 Oct 2026 03:42:44 GMT
Duration: 22:21

I Watched 3 Companies Lay Off Their Managers. All 3 Hit the Same Wall.

Thu, 22 Oct 2026 03:42:18 GMT

Summary: Full Story w/ Prompts: https://natesnewsletter.substack.com/p/executive-briefing-44-of-companies?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________ What's really happening inside the management layer your company just removed — and why it matters more than anyone is admitting? The common story is that flatter is faster — but the reality is more complicated: companies are cutting load-bearing structure without understanding what they're actually removing. In thi.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Introduction: The Management Removal Wave
01:30 — What Do Managers Actually Do?
03:00 — Bundle One: Information Routing
05:00 — The Roman Legions to Railroads Through-Line
06:30 — Where AI Takes Over Routing
08:00 — Bundle Two: Sense Making
10:30 — Why Sense Making Resists Automation
12:30 — Bundle Three: Accountability and Feedback
14:30 — What Happens If AI Gets 10x Better?
16:00 — Case Study One: Kimi's Radical Flat Structure
19:00 — Case Study Two: Jack Dorsey and Block's DRI Model
22:00 — Case Study Three: Meta's Compression Play
25:30 — What This Means for Managers and ICs
27:00 — The Decomposition Playbook

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260412
Added: Thu, 22 Oct 2026 03:42:18 GMT
Duration: 32:52

I Looked At Amazon After They Fired 16,000 Engineers. Their AI Broke Everything.

Thu, 22 Oct 2026 03:41:38 GMT

Summary: Full Story w/ Prompts: https://natesnewsletter.substack.com/p/your-codebase-is-full-of-code-nobody?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________ What's really happening inside your codebase when AI writes code nobody fully understands? The common story is that dark code is a security or engineering quality problem — but the reality is more complicated: it's an organizational capability crisis that is only going to get worse. In this video, I share the insi.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Introduction: Code Nobody Understands
01:30 — What Dark Code Actually Is
03:00 — Two Reasons Dark Code Is Multiplying
05:00 — Why Observability Doesn't Fix It
06:30 — Why Agentic Pipelines Don't Fix It Either
08:00 — The YOLO Approach and Its Real Costs
10:00 — How AI's Strengths Mask the Problem
11:30 — Layoffs Are Making Dark Code Worse
13:00 — Layer One: Spec-Driven Development
16:00 — What Amazon's Kiro Taught the Industry
17:30 — Layer Two: Self-Describing Systems

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260413
Added: Thu, 22 Oct 2026 03:41:38 GMT
Duration: 18:41

3 Model Drops. $15M/Day in Burn. One Product Dead. Nobody Connected Them.

Thu, 22 Oct 2026 03:41:14 GMT

Summary: Full Story w/ Weekly News Analysis Skill: https://natesnewsletter.substack.com/p/sora-died-atlassian-cut-1600-engineers?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________ What's really happening underneath the March 2026 headlines when everyone was watching model drops but missing the structural shifts that will shape the next 12 months? The common story is that March was about ChatGPT 5.4 and Gemini 3.1 Ultra — but the reality is that five quieter moves reveal.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Reading under the fog of war
02:00 — Sora shutdown: inference is the new wall
04:30 — The most important number in AI changed
06:00 — First ad dollar enters the AI interface
08:30 — The purchase funnel collapses into one conversation
10:00 — White House framework vs physical infrastructure resistance
12:30 — 12 states, 54 local governments blocking data centers
14:00 — Atlassian and the SaaS apocalypse continues
16:30 — Per-seat pricing is over faster than SaaS knows
18:00 — Safety posture becomes a market position
20:00 — The through-line: capability phase to economics phase

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260414
Added: Thu, 22 Oct 2026 03:41:14 GMT
Duration: 20:50

The Real Problem With AI Agents Nobody's Talking About

Thu, 22 Oct 2026 03:40:42 GMT

Summary: Full Story w/ Elicitation Prompt (SOUL.md): https://natesnewsletter.substack.com/p/your-agent-needs-a-soulmd-you-cant?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________ What's really happening inside the OpenClaw phenomenon when 250,000 GitHub stars later the most common message in every community forum is still "now what?" The common story is that agents are magic boxes — type anything and they'll figure it out. But the reality is that installation is now a 10.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Agents don't make you productive by themselves
02:30 — The most common message: now what?
05:00 — Brad Mills and the 40-hour delegation framework
07:30 — The pattern across deployments that actually work
10:00 — Markdown files as the agent's operating system
12:30 — Memory systems and the context problem
15:00 — Why clarity of intent is the real requirement
17:30 — Surveying the me-too landscape: Manus, Perplexity, NemoClaw
22:00 — Claude Dispatch and the mobile-first bet
24:30 — Why every product breaks against the same wall
27:00 — Tacit knowledge and the structural trap of expertise
30:00 — The uncomfortable workforce divide agents create
33:00 — The solution: an interviewer agent, not an assistant
36:30 — Your first agent should prepare you for agents

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260415
Added: Thu, 22 Oct 2026 03:40:42 GMT
Duration: 37:38

Your AI Is 50x Faster. You're Getting 2x. You're Fixing the Wrong Thing.

Thu, 22 Oct 2026 03:40:02 GMT

Summary: Full Story w/ Prompts: https://natesnewsletter.substack.com/p/your-ai-is-50x-faster-your-tools?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________ What's really happening inside computing when every piece of software ever built assumed a human was on the other side — and now that assumption is wrong? The common story is that AI isn't fast enough yet. But the reality is that agents operating 50x faster than humans are bottlenecked by the exact human affordances w.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — You and I were the most important thing in computing
02:30 — Every timeout and pagination was calibrated to your pace
04:30 — Jeff Dean on inference speed and the 2-3x ceiling
06:30 — Layer 1: Making existing tools faster
08:30 — Layer 2: Agent-native primitives replace human interfaces
11:00 — Layer 3: The bitter lesson applied to the software stack
13:00 — What happens to the human?
15:00 — Four roles above the loop
18:00 — This is a promotion, not a demotion
19:30 — Start preparing now

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260416
Added: Thu, 22 Oct 2026 03:40:02 GMT
Duration: 19:57

Anthropic And OpenAI Are Fighting Over Your Memory. You're Going To Lose.

Thu, 22 Oct 2026 03:39:35 GMT

Summary: Full Story w/ Prompts: https://natesnewsletter.substack.com/p/the-ai-capital-youve-been-building?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________ What's really happening inside your AI usage when you're building the most important professional asset of your career and you don't own any of it? The common story is that AI memory is a nice feature — but the reality is that your accumulated context across platforms has become a fifth category of professional capi.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — You're building your most important asset and don't own it
02:30 — The honing effect and why switching AIs hurts
05:00 — Layer 1: Domain encoding you didn't realize you gave
07:30 — Layer 2: Workflow calibration saves you 5-8 turns
09:30 — Layer 3: Behavioral relationship and unstated preferences
12:00 — Layer 4: Artifact history and demonstrated capability
14:30 — Why this affects 90% of us in the next two years
17:00 — Why platforms won't solve it and startups struggle
20:00 — The solution: extraction, database, MCP
23:00 — Shout out to MCP as the USB-C connector for AI
25:30 — Professional capital in the AI age
28:30 — Memory replaced models as the moat of 2026

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260417
Added: Thu, 22 Oct 2026 03:39:35 GMT
Duration: 29:44

Karpathy's Agent Ran 700 Experiments While He Slept. It's Coming For You.

Thu, 22 Oct 2026 03:39:01 GMT

Summary: Full Story w/ Prompts: https://natesnewsletter.substack.com/p/the-teams-that-can-define-better?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________ What's really happening inside the memory architecture debate when Andre Karpathy's wiki idea got 41,000 bookmarks in a week and everyone is asking if it makes OpenBrain obsolete? The common story is that these are competing approaches — but the reality is that they solve the same AI amnesia problem from opposite dire.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — 41,000 bookmarks and hundreds of DMs
02:30 — The insight underneath the simplicity
05:00 — Why AI throws away its cognitive work
07:30 — Write time vs query time: the fundamental fork
10:00 — Study guide vs filing cabinet with librarian
12:30 — The editorial trap in wiki synthesis
15:00 — Where Karpathy's wiki wins
17:00 — Where OpenBrain wins
19:30 — Where each system breaks at scale
22:00 — The hybrid: OpenBrain graph database
25:00 — AI as maintainer, not oracle
27:00 — Making the decision for your context layer

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260418
Added: Thu, 22 Oct 2026 03:39:01 GMT
Duration: 27:24

Block Laid Off Half Its Company for AI. AI Can't Do the Job.

Thu, 22 Oct 2026 03:38:22 GMT

Summary: Full Story w/ Prompts: https://natesnewsletter.substack.com/p/executive-briefing-why-your-world?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________ What's really happening inside the world model everyone is suddenly building? The common story is that software can replace middle management by maintaining a living picture of your company — but the reality is more complicated. In this video, I share the inside scoop on why most world model implementations are being.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — The World Model Idea Breaking the Internet
01:30 — Why Five Million People Clicked
03:00 — Three Architectures, One Blind Spot
04:45 — Why World Model Failures Stay Invisible
06:15 — The Zappos Problem vs. the World Model Problem
07:45 — What Managers Do That Software Cannot
09:15 — Architecture One: The Vector Database Approach
11:00 — Architecture Two: The Structured Ontology Approach
12:45 — Architecture Three: The Signal Fidelity Approach
14:15 — Drawing the Interpretive Boundary
15:30 — Five Principles for World Models That Actually Work
17:15 — Which Architecture Fits Your Company
18:45 — How to Start Building Today
20:00 — Final Caution Before You Ship

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260419
Added: Thu, 22 Oct 2026 03:38:22 GMT
Duration: 20:21

Nobody Knows What You're Worth Anymore | The AI Job Market Reality

Thu, 22 Oct 2026 03:37:56 GMT

Summary: Nate's TalentBoard + Full Story: https://natesnewsletter.substack.com/p/your-comprehension-is-worth-more?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________ What's really happening inside the tech job market when 60,000 confirmed cuts hit in Q1 alone and nobody knows what any of us are worth anymore? The common story is that you need to build your portfolio, ship projects, and show not tell. But the reality is that everyone is optimizing for the one thing AI mak.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Nobody knows what you're worth anymore
02:30 — 60,000 cuts in Q1 and the urgency is real
04:30 — Production used to signify expertise
06:30 — Principle 1: Comprehension over generation
09:00 — The AWS engineer who deleted production
11:00 — Principle 2: Explanation as artifact
13:30 — Principle 3: Transactions over credentials
15:30 — Principle 4: Work in the open
17:30 — Principle 5: Ship proof with the work
19:30 — What I'm building for the community
21:00 — Prove you can think

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260420
Added: Thu, 22 Oct 2026 03:37:56 GMT
Duration: 21:29

Your Prompts Didn't Change. Opus 4.7 Did.

Thu, 22 Oct 2026 03:37:27 GMT

Summary: Full Breakdown w/ Prompts: https://natesnewsletter.substack.com/p/opus-47-is-smarter-more-literal-and?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________ What's really happening inside Claude Opus 4.7 when Anthropic ships their smartest model ever into a week where OpenAI pushed the biggest Codex update since launch and everyone is racing toward IPO? The common story is that 4.7 fixes the quitting problem from 4.6 — but the reality is that this is a directed opt.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — The smartest and most combative model Anthropic has shipped
03:00 — A bridge release under competitive pressure
05:30 — The quitting problem fix is real
08:00 — Coding benchmarks: SWE Bench, Cursor Bench, MCP Atlas
10:30 — The buried regression: web research dropped to 79
13:00 — The new tokenizer costs you 35% more tokens
15:30 — Enterprise knowledge work: GDP VAL and Big Law Bench
18:00 — The adversarial migration test setup
22:00 — 465 files, planted traps, human sanity checks
26:00 — Head to head: ChatGPT 5.4 vs Opus 4.7
30:00 — Trust failures and silent data loss
34:00 — Claude Design: $42 burned before closing the tab
38:00 — The combative literalism problem
42:00 — When vagueness is a feature, not a bug
45:00 — Model makers competing on harnesses now
48:00 — Serious work gets serious tokens
51:00 — The economic question of our time

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260421
Added: Thu, 22 Oct 2026 03:37:27 GMT
Duration: 51:45

Karpathy's Wiki vs. Open Brain. One Fails When You Need It Most.

Thu, 22 Oct 2026 03:36:29 GMT

Summary: Full Comparison w/ Prompts & Open Brain Wiki: https://natesnewsletter.substack.com/p/your-ai-re-derives-everything-it?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________ What's really happening inside the memory architecture debate when Andre Karpathy's wiki idea got 41,000 bookmarks in a week and everyone is asking if it makes OpenBrain obsolete? The common story is that these are competing approaches — but the reality is that they solve the same AI amnesia pro.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — 41,000 bookmarks and hundreds of DMs
02:30 — The insight underneath the simplicity
05:00 — Why AI throws away its cognitive work every time
07:30 — Knowledge compiled once vs re-derived on every query
10:00 — Write time vs query time: the fundamental fork
13:00 — Study guide vs filing cabinet with librarian
16:00 — The editorial trap in wiki synthesis
19:00 — Dashboards hide exactly the thing you need to see
22:00 — Where Karpathy's wiki wins: deep research mode
25:00 — Where OpenBrain wins: precise structured operations
28:00 — Multi-agent access and volume scaling
31:00 — Where each system breaks at scale
34:00 — Wiki stillness vs database stillness
36:30 — The hybrid: OpenBrain graph database plugin
39:00 — AI as maintainer, not oracle
41:00 — Making the decision for your context layer

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260422
Added: Thu, 22 Oct 2026 03:36:29 GMT
Duration: 41:08

Your Apps Don't Need an API Anymore. Codex Just Proved It.

Thu, 22 Oct 2026 03:35:41 GMT

Summary: Full Story w/ Prompt Kit: https://natesnewsletter.substack.com/p/grab-the-workflow-audit-that-tells?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________ What's really happening inside OpenAI's Codex revamp when they shipped a desktop agent that can drive any Mac app in the background while you do other work? The common story is that this is a coding tool update — but the reality is that Codex shifted categories entirely, and the gap to Claude's computer use is wi.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Codex is no longer really a coding tool
02:30 — The brain is built, the work is on the body
04:30 — Computer use side by side: Codex vs Claude
06:30 — GPT 5.4 benchmarks above human baseline on GUI control
08:30 — Deep OS-level wizardry and parallel background agents
10:30 — Anthropic's body vs OpenAI's body
13:00 — The Workflow to Shortcuts to Sky acquisition
15:00 — Chronicle and the training signal for computer use
17:00 — Conway: Anthropic's event-driven agent environment
19:00 — What to watch: MCP adoption velocity
20:30 — If software has a screen, an agent can drive it

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260423
Added: Thu, 22 Oct 2026 03:35:41 GMT
Duration: 21:00

Claude Design Does In 30 Minutes What Your Team Does In A Sprint

Thu, 22 Oct 2026 03:35:14 GMT

Summary: Full Story w/ Prompt Kit: https://natesnewsletter.substack.com/p/claude-design-replaced-a-week-of?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________ What's really happening inside the Claude Design launch when everyone reacted with Figma stock crashes but missed the actual story? The common narrative is that this is a Figma killer — but the reality is that Claude Design is the third piece in a coordinated Anthropic stack that's quietly retiring the entire mocku.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Figma stock crashed but that's not the story
02:00 — Eight things you can make with Claude Design
04:00 — Pitch decks with live embedded AI demos
06:00 — Design systems extracted from your codebase
08:00 — Web capture, dashboards, and admin tools
10:00 — How Code, Cowork, and Design fit together
12:30 — The death of the mockup as discrete phase
15:00 — Why code became the medium AI works in
17:00 — Google Stitch and design.markdown response
19:00 — What changes role by role
21:30 — Two pizza teams becoming one pizza teams
23:00 — The judgment work expands

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260424
Added: Thu, 22 Oct 2026 03:35:14 GMT
Duration: 23:42

ChatGPT Images Just Replaced Three People on Your Team.

Thu, 22 Oct 2026 03:34:41 GMT

Summary: Full Story w/ Prompt Kit: https://natesnewsletter.substack.com/p/what-gpt-image-2-actually-changed?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________ What's really happening inside AI image generation after GPT-Image 2's 93% win rate? The common story is a better image model — but the reality is more interesting: image generation just joined the reasoning stack, and the workflows, risks, and role changes that follow are nothing like the coverage suggests. In th.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Why 93% Changes Everything
01:45 — Making the Benchmark Concrete
03:15 — The Three Mechanisms Under the Model
05:30 — Thinking Mode and Web Search Explained
07:15 — Eight Coherent Frames From One Prompt
09:00 — Four Workflows That Just Became Viable
11:30 — The Localize-at-Launch Use Case
13:00 — UI Spec as a Rendering Target
14:30 — Live Data Briefs and Design Systems
16:00 — The Forgery Problem Nobody Is Covering
18:00 — GPT-Image 2 vs. Claude Design
20:00 — Three Structural Shifts in the Industry
22:00 — Role-by-Role Breakdown
24:15 — The New Ceiling Is Specification

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260425
Added: Thu, 22 Oct 2026 03:34:41 GMT
Duration: 25:45

Apple Just Positioned Itself for the Next Trillion Dollars

Thu, 22 Oct 2026 03:34:10 GMT

Summary: Full Story w/ Prompt Kit: https://natesnewsletter.substack.com/p/executive-briefing-the-ai-race-youre?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________ What's really happening inside Apple's AI strategy behind the Tim Cook succession? The common story is a smooth handoff to an Apple lifer — but the reality is more interesting: Apple just restructured the entire company around a race the rest of the industry isn't running. In this video, I share the inside scoo.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — The Succession Story Nobody's Telling
01:45 — What the Org Chart Actually Says
03:15 — How Apple's Structure Failed the AI Race
05:00 — Why Apple Changed the Game Instead
06:30 — Cloud AI Economics Are Broken
08:15 — The Two-Class AI System Taking Shape
10:00 — Apple's On-Device Bet Explained
11:45 — The Apple II Parallel From 50 Years Ago
13:30 — Why Law Firms Are Buying Mac Minis
15:15 — The Trillion-Dollar Market No One Is Serving
16:45 — What This Means for Leaders
17:45 — What This Means for Builders
19:00 — What This Means for Prosumers
20:15 — Where Apple's Bet Finally Lands

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260426
Added: Thu, 22 Oct 2026 03:34:10 GMT
Duration: 20:56

The greatest AI engineering workflow of all time revealed (Herdr)

Wed, 21 Oct 2026 21:28:58 GMT

Summary: Here is the best AI engineering workflow ever using Herdr Herdr: https://herdr.dev/ Herdr HUD: https://github.com/finna/herdr-hud Check out my autonomous business: https://agentusecases.ai/ Sign up for my free newsletter: https://www.shipitweekly.com/ Follow my Instagram! http://instagram.com/alexfinnai FULL Local AI bootcamp in the Vibe Coding Academy: https://www.skool.com/vibe-coding-academy 2nd Youtube Channel: https://youtube.com/@AlexFinnLabsOfficial Follow my X: https://x.com/AlexFinn Hen.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Intro
00:52 — The interface
07:52 — Setting it up
11:38 — Building a game
15:56 — Building custom apps for Herdr
18:03 — Final test
19:54 — Herdr HUD

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: Alex Finn — channel page
Original YouTube publication date: 20261021
Added: Wed, 21 Oct 2026 21:28:58 GMT
Duration: 21:34

OpenAI Just Gave Every Team A Free Employee. Here's The Catch.

Wed, 21 Oct 2026 07:16:18 GMT

Summary: Full Story w/ Prompt Kit: https://natesnewsletter.substack.com/p/your-team-spends-5-hours-a-week-on?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________ What's really happening inside ChatGPT's new Workspace Agents launch? The common story is that this is just a chatbot upgrade — but the reality is more interesting. In this video, I share the inside scoop on what Workspace Agents actually replaces and where it fits: • Why this threatens lightweight automation lay.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Introduction to workspace
01:08 — Inside the agent product
04:00 — Evolution from GPTs
07:43 — Ideal use cases
11:58 — Testing and evaluation
13:38 — Enterprise governance
16:30 — Strategic industry outlook
20:23 — Getting started with agents

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260427
Added: Wed, 21 Oct 2026 07:16:18 GMT
Duration: 23:13

GPT-5.5 vs Claude vs Gemini: The Real Difference Nobody's Talking About

Wed, 21 Oct 2026 07:15:48 GMT

Summary: Full Story w/ Prompt Kit: https://natesnewsletter.substack.com/p/chatgpt-55-scored-87-where-the-next?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________ What's really happening inside the GPT-5.5 release when everyone is comparing benchmark deltas but missing that the floor moved? The common story is that 5.5 is a little better than 5.4 — but the reality is that this model changes what you can reasonably ask a model to do, and I put it through three tests design.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — 5.5 reset the bar
02:00 — The floor moved, not just the ceiling
04:00 — Why the best model still matters
06:30 — The model plus system argument
08:30 — Three tests designed to fail
10:30 — Dingo: executive knowledge work package
13:00 — 23 deliverables and legal posture
15:30 — Splash Brothers: dirty data migration
18:00 — Mickey Mouse and the $25K fake payment
20:30 — Where 5.5 still needs validation
23:00 — Artemis II: 3D visualization and taste
25:30 — Why routing between models matters
27:30 — Codex vs ChatGPT for serious work
29:30 — How I'm routing work now
31:30 — What can you now ask it to do

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260428
Added: Wed, 21 Oct 2026 07:15:48 GMT
Duration: 32:34

Salesforce Killed The Browser. Every Agent Runs Your CRM Now.

Wed, 21 Oct 2026 07:15:07 GMT

Summary: Full Story w/ Prompt Kit: https://natesnewsletter.substack.com/p/the-5-question-filter-i-run-every?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________ What's really happening inside the AI agent market when another launch drops every week and the question is no longer what shipped but which of these actually deserves an afternoon of your team's attention? The common reaction is exhaustion — but the reality is that the agent conversation has quietly moved from mo.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Another agent launch, another week of exhaustion
02:00 — The five-question filter for every launch
04:30 — ChatGPT Workspace Agents: shared recurring workflows
07:00 — Salesforce Headless 360: infrastructure under the agent economy
10:00 — Microsoft Copilot Wave 3: the data graph advantage
12:30 — Kimi K 2.6: open weights for teams that self-host
15:00 — Perplexity Personal Computer: research-heavy deliverables
17:30 — Claude shows up in three different ways now
19:30 — When to stay, when to use a wrapper, when to switch
22:00 — Filter for infrastructure over features

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260429
Added: Wed, 21 Oct 2026 07:15:07 GMT
Duration: 23:08

Microsoft Is Testing Claude Against Its Own Copilot. Here's Why.

Wed, 21 Oct 2026 07:14:30 GMT

Summary: Full Story w/ Prompt Kit: https://natesnewsletter.substack.com/p/wrong-ai-default?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________ What's really happening inside corporate AI procurement when everyone on your team knows the default tool can't do the job but saying so makes you sound like the problem instead of the person trying to get work done? The common framing is that you're asking for an exception — but the reality is that your company is expecting front.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — The approved tool can't do your actual job
02:30 — Why your argument sounds like preference
05:00 — The hidden tax of a bad AI default
07:30 — How to reframe without attacking the default
10:00 — Pick one job and measure it
12:30 — What makes success criteria real
15:00 — The sales ops example: 90 minutes vs 15
17:30 — How to extrapolate across the org
20:00 — The altitude of your ask
22:30 — Handling the four objections

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260430
Added: Wed, 21 Oct 2026 07:14:30 GMT
Duration: 24:48

DGX Spark vs Mac Studio vs RTX 5090: I Tried All Three For Local AI

Wed, 21 Oct 2026 07:13:57 GMT

Summary: DGX Spark vs Mac Studio vs RTX 5090 for running AI locally. I tried all three. What each one is actually good at, what it costs, and which one I would buy. Full Story w/ Prompt Kit: https://natesnewsletter.substack.com/p/personal-ai-computer-stack?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________ What's really happening inside the personal AI computer movement when everyone is defaulting to cloud models but the real power comes from owning the substrate undern.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Plain markdown plus Git is the boring immortal version
02:30 — Different data needs different memory handling
05:00 — MCP servers are not magic
07:30 — The interface principle: many surfaces, one stack
10:00 — Voice is underrated now that local whisper works
12:30 — Personal RAG and private coding loops
15:00 — Meeting capture without audio leaving the machine
17:30 — Three buyer profiles: knowledge worker, maximalist, builder
20:00 — Mac Studio vs DGX Spark vs dual RTX 5090s
22:30 — The personal AI computer is a routing system
25:00 — Memory needs to be cumulative but auditable
27:30 — Why cloud AI should be a visitor to your system
30:00 — Through the looking glass: the questions you start asking
31:30 — Your computer, your AI

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260501
Added: Wed, 21 Oct 2026 07:13:57 GMT
Duration: 32:35

Anthropic Might Buy Atlassian For $40B. Here's Why It Makes Sense.

Wed, 21 Oct 2026 07:13:19 GMT

Summary: Full Story w/ Prompt Kit: https://natesnewsletter.substack.com/p/issue-trackers-agent-infrastructure?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________ What's really happening inside the issue tracker category when Linear's CEO says issue tracking is dead but OpenAI publishes Symphony using Linear as the control plane for autonomous coding agents? The common story is that tickets are process overhead waiting to be eliminated — but the reality is that the human.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Programs we built for humans are useful to agents
02:30 — The Linear letter: issue tracking is dead
05:00 — Symphony: issue tracker as agent control plane
07:30 — Bugzilla and the origin of the substrate
10:00 — Why agents want this particular shape
12:30 — State machines, handoffs, and coordination
15:00 — Atlassian looks like infrastructure now
17:30 — CRMs are issue trackers for revenue
20:00 — Service desks, ERPs, and source control
22:30 — The five diagnostic questions for any tool
25:00 — Your work tracking choice is your agent infrastructure choice
27:30 — The boring tools win
29:00 — Mapping your agentic substrate

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260502
Added: Wed, 21 Oct 2026 07:13:19 GMT
Duration: 29:07

Stripe, Visa, Mastercard, Microsoft, Meta. All Building The Same Thing.

Wed, 21 Oct 2026 07:12:46 GMT

Summary: Full Story w/ Prompt Kit: https://natesnewsletter.substack.com/p/agentic-commerce-buyers-power?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________ What's really happening inside Stripe's agent commerce announcement when everyone is talking about agents buying coffee but missing the actual shift underneath? The common headline is that agents can spend money now — but the reality is that for the first time in decades, power in the internet economy is moving from t.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Agents can spend money — that's not the point
02:30 — The transaction is leaving the store
05:00 — The funnel was a machine for making intent visible
07:30 — Stripe made money movement feel native to software
10:00 — Where intent becomes explicit is changing
12:30 — Authentic coffee: keyword problem vs purchasing brief
15:00 — Agentic visibility is not SEO for agents
17:30 — Link wallet and the relocation of payment authority
20:00 — One-time cards as adapters, tokens as native rail
22:30 — Streaming payments and usage-based billing
25:00 — Why fraud protection matters more now
27:30 — Brand becomes part of the buyer's memory
30:00 — The seller's persuasion surface is disappearing

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260503
Added: Wed, 21 Oct 2026 07:12:46 GMT
Duration: 31:19

AI's 'Thin Ice' Moment: Is Your Job Already Gone?"

Wed, 21 Oct 2026 07:12:09 GMT

Summary: Full Story w/ Prompt Kit and link Nate's TalentBoard: https://natesnewsletter.substack.com/p/job-at-risk-ai-audit?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________ What's really happening inside knowledge work when your calendar is full, your manager is happy, and the first sign your job is on thin ice is that nothing looks wrong? The common framing is will AI replace my job — but the reality is that AI doesn't have to replace your whole job to put you on thin.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — The first sign your job is on thin ice
02:30 — Jobs getting hollowed out, not replaced
05:00 — Travel agents: the historical parallel
07:30 — Why performance systems can't see this
10:00 — The four-letter audit: T, C, L, D
13:00 — Theater: work that exists because the org performs it
15:30 — Commodity: real work that doesn't need you specifically
18:00 — On the line: the uncomfortable middle
20:30 — Durable: work where you changed the question
23:00 — What the count reveals about your week
26:00 — Question-holding vs question-answering
28:30 — The legibility paradox
31:00 — Six moves after the audit
33:30 — What part of your week will you stop defending

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260504
Added: Wed, 21 Oct 2026 07:12:09 GMT
Duration: 34:15

Consumer AI Has a Problem Nobody's Naming.

Wed, 21 Oct 2026 07:11:29 GMT

Summary: Full Story w/ Prompt Kit: https://natesnewsletter.substack.com/p/consumer-ai-anticipation-gap?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________ What's really happening inside consumer AI when software is finally capable enough to help but has somehow become one more thing to manage? The common pitch is that agents can do anything — but the reality is that most consumer agent products are still reactive, putting the hardest job on your shoulders: figuring out w.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — AI is the annoying assistant in the corner
02:30 — Why this is a PSA for the labs
05:00 — The attention bottleneck even enterprise hit
07:30 — What I actually want from an agent
10:00 — Why chatbots got adoption and agents struggle
13:00 — Consumer has no test suite for life admin
15:30 — The anticipation gap defined
18:00 — Push notifications crossed a smaller version of this
20:30 — Poke, Clicky, and Clueless: three different bets
23:30 — Chronicle as a clue toward the future
26:00 — The permission ladder from read to autonomous
29:00 — Key hires and early warning signs
31:30 — Try agents and watch for load lifting
32:30 — My mom is not installing OpenClaw

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260505
Added: Wed, 21 Oct 2026 07:11:29 GMT
Duration: 32:55

The Work Primitive: What Every AI Product Leader Gets Wrong

Wed, 21 Oct 2026 07:10:48 GMT

Summary: Full Story w/ Prompt Kit: https://natesnewsletter.substack.com/p/ai-work-primitives-access-vs-meaning?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________ What's really happening inside the platform fight for agents when everyone is building demos where an AI clicks buttons but missing the strategic layer underneath? The common story is that computer use levels the playing field — but the reality is that the visible work the model does is distracting us from who.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Computer use is distracting us from the platform shift
02:30 — Access, meaning, and authority: three layers
05:00 — Moving a calendar invite is not click save
07:30 — Computer use is the universal adapter for the messy middle
10:00 — The hierarchy of meaning: use the richest interface
12:30 — Why coding agents arrived first
15:00 — Perplexity's strategy: browser to computer to semantic meaning
17:30 — Salesforce 360 vs SAP: who gets this right
20:00 — The button is no longer the primitive
22:30 — Does the product know what the action means

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260506
Added: Wed, 21 Oct 2026 07:10:48 GMT
Duration: 23:17

Your AI Agent Is Locked To One Model. OpenClaw Just Killed That.

Wed, 21 Oct 2026 07:10:20 GMT

Summary: Full Story w/ Open Brain Agent Memory: https://natesnewsletter.substack.com/p/openclaw-agent-runtime-model-swapping?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________ What's really happening inside OpenClaw when everyone is arguing about the model layer but missing that the runtime itself changed shape in April? The common story is about Anthropic versus OpenAI and subscription policies — but the reality is that OpenClaw crossed into serious work mode, and once.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — OpenClaw grew up in April
02:30 — From viral demo to serious runtime
05:00 — The boring stuff that makes work possible
07:30 — Task flow, memory, and channel maturity
10:00 — Anthropic's April move was deeply unpopular
12:30 — OpenAI's opposite posture with Codex
15:00 — Gemma 4 and the local model branch
17:30 — Which model should handle this step
20:00 — Durable workflows that survive the session
22:30 — Memory can't live inside one brain
24:30 — OpenBrain recipes for OpenClaw
25:30 — Build the runtime so the model can change

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260507
Added: Wed, 21 Oct 2026 07:10:20 GMT
Duration: 26:01

271 Vulnerabilities: What Mozilla's AI Found Changes Everything

Wed, 21 Oct 2026 07:09:47 GMT

Summary: Full article w/ Prompts: https://natesnewsletter.substack.com/p/ai-code-trust-verification-shift?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________ What's really happening inside software security when Mozilla points Anthropic's Mythos at Firefox and ships fixes for 271 vulnerabilities in a single release cycle? The common story is that AI found bugs — but the reality is that the sentence "a good human engineer wrote this" is becoming a much weaker security cla.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Human code is losing its trust anchor
02:30 — Mozilla's Mythos found 271 vulnerabilities in Firefox
05:00 — This does not mean replace your senior engineers
07:30 — Meaning versus implementation in code
10:00 — Adversarial interpretation is reading code the wrong way
12:30 — Mythos participates in the research loop
15:00 — We've stopped trusting developers before
17:30 — Implementation becomes abundant, confidence becomes scarce
20:00 — The golden refactor window
22:30 — Comprehensibility is now a security property
25:00 — What a valuable engineer starts to look like
27:30 — Write better specs now
30:00 — AI code will be the gold standard

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260508
Added: Wed, 21 Oct 2026 07:09:47 GMT
Duration: 30:41

You're Wasting 40% Of Your AI Time On Something Fixable

Wed, 21 Oct 2026 07:09:09 GMT

Summary: Full article w/ the Ultimate Codex Plugin Guide: https://natesnewsletter.substack.com/p/codex-plugins-bottleneck-moved?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________ What's really happening with codex plugins, skills, prompts, and MCPs as agents start doing real work? The common story is that plugins are just app store add-ons — but the reality is more complicated. In this video, I share the inside scoop on the agentic scaffolding that actually makes AI use.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Why most people get stuck on the agent scaffolding layer
02:34 — The mech suit metaphor — what actually surrounds an LLM
05:39 — The map: prompts, skills, plugins, MCPs, hooks, scripts
09:42 — Why now — GPT 5.5 and messy multi-part work
11:38 — Prompts: when one-offs are the right call
13:30 — Skills: teaching a tool your house style
17:22 — Plugins: packaging a whole workflow your team can install
21:12 — MCPs and app connectors: live access to where work lives
23:06 — Hooks and scripts: the deterministic parts you don't trust the model with
25:27 — Why the app store analogy undersells what plugins really are

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260509
Added: Wed, 21 Oct 2026 07:09:09 GMT
Duration: 27:13

Anthropic And OpenAI Just Admitted The Model Isn't Enough.

Wed, 21 Oct 2026 07:08:38 GMT

Summary: Full article w/ Prompts & Playbook: https://natesnewsletter.substack.com/p/enterprise-ai-buying-build-room?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________ What's really happening with AI agent security — and what does it mean for your AI roadmap? The common story is that McKinsey's Lilly platform had a security lapse — but the reality is a procurement and organizational design failure that most companies are quietly repeating right now. In this video, I shar.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — The $20 exploit that broke McKinsey's AI platform
01:18 — Why SQL injection in 2026 is a deeper story
02:24 — Three things this video covers
03:05 — What the postmortem missed
04:22 — 22 of 200 endpoints — pattern, not mistake
06:10 — Why agents break the old procurement sequence
08:45 — What a single agent run actually touches
10:30 — Implementation is the strategy, not downstream of it
12:15 — Anthropic, OpenAI, SAP, Pinecone, Salesforce, ServiceNow respond
14:00 — The real question before you sign
15:20 — Does your platform know humans from agents
17:10 — What happens when your team is under pressure
19:15 — The 6-question checklist and repair playbook
20:20 — Why this is a people challenge, not a tech one

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260510
Added: Wed, 21 Oct 2026 07:08:38 GMT
Duration: 20:48

LLM Agents: The Security Breach Pattern Nobody's Talking About

Wed, 21 Oct 2026 07:08:11 GMT

Summary: Full article w/ Prompts & Playbook: https://natesnewsletter.substack.com/p/agent-judge-layer-production-control?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________________________ What's really happening when AI agents take real actions in production, and why do better prompts keep failing to stop them? The common story is that prompt engineering and human approval will keep AI agents safe — but the reality is that frontier-model agents now need their own manage.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — The agent failures nobody wants to repeat
01:30 — Why this is the pattern most teams miss
02:30 — The real failure mode: agents acting past permission
03:30 — Lindy as the cleanest public example
05:00 — Why better prompts and manual approval fail
06:30 — The architectural move: a separate judge model
08:00 — Specialization at the right grain for today's models
09:30 — Why prompts can't do a policing job
11:00 — Human attention doesn't scale to dozens of agents
12:00 — Classifying agent actions into four risk buckets
14:00 — Placing the judge at the action boundary
15:00 — Why yes/no is too simple — the four-way decision scope
16:30 — Correlated judgment and why your judge model matters
18:00 — Agents as managed workers, not chatbots or swarms

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260511
Added: Wed, 21 Oct 2026 07:08:11 GMT
Duration: 19:16

ChatGPT Has 900M Weekly Users. Almost None Can Buy In It.

Wed, 21 Oct 2026 07:07:44 GMT

Summary: Full article w/ Prompts: https://natesnewsletter.substack.com/p/agentic-commerce-protocol-war?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________________________ What's really happening inside the agentic commerce protocol war? The common story is that AI agents will just plug into existing checkout — but the reality is that six camps are fighting over who carries the responsibility when an agent spends your money. In this video, I share the inside scoop on the.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Your agent is about to spend your money
00:42 — The six layers of an agentic purchase
01:25 — How human checkout used to work
02:35 — What agentic commerce actually breaks
04:00 — ACP and the OpenAI Stripe instant checkout
05:45 — UCP and the Shopify Google merchant control bet
08:00 — Authorization is not the same as payment
10:15 — Google AP2 and the mandate permission slip
11:45 — Visa, MasterCard, and PayPal on trusted credentials
12:45 — Stablecoins, x402, and machine-to-machine payments
15:00 — AWS Bedrock Agent Core and the governance runtime
17:00 — Where responsibility actually lives across all six layers

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260512
Added: Wed, 21 Oct 2026 07:07:44 GMT
Duration: 18:41

Pinecone Just Demoted Vector Search. Here's the Knowledge Layer.

Wed, 21 Oct 2026 07:07:20 GMT

Summary: Full article w/ Prompts: https://natesnewsletter.substack.com/p/rag-agents-knowledge-layer-architecture?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________________________ What's really happening inside the AI agent memory infrastructure war? The common story is that bigger context windows and better vector search will solve it — but the reality is every serious infrastructure vendor is racing to fix a deeper problem that classic RAG can't touch. In this video,.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Why every infrastructure vendor is fixing memory
01:15 — The rediscovery problem eating agent compute
02:30 — RAG and vector search definitions
04:00 — Why classic RAG was built for chatbots
05:30 — What agents actually need instead
07:00 — Pinecone Nexus and the NoQL retrieval contract
09:15 — PageIndex and why some docs should never be chunked
12:00 — SAP, Dremio, and Prior Labs on tabular memory
14:30 — Microsoft GraphRAG and relational knowledge
15:45 — Why bigger context windows don't fix this
17:00 — Three steps if you're building an agent today
19:00 — Failure modes and where to look in your own logs

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260513
Added: Wed, 21 Oct 2026 07:07:20 GMT
Duration: 20:08

The Trillion Dollar Agentic Workflow Opportunity Is Here

Wed, 21 Oct 2026 07:06:41 GMT

Summary: Full article w/ Prompts: https://natesnewsletter.substack.com/p/saas-agent-license-renewal?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________________________ What's really happening inside the AI agent implementation war? The common story is that the AI agent battle is between OpenAI and Anthropic on raw model quality — but the reality is that private equity, hyperscalers, consultancies, and systems of record are all converging on the implementation layer where.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Why finance, hyperscalers, and companies are converging
02:30 — The trillion dollar agentic workflow opportunity
04:55 — Anthropic and OpenAI stand up deployment companies
07:00 — Reframing data, model, workflow, and harness value
09:30 — Axis one: frontier labs moving down the stack
12:00 — Axis two: consultancies moving up the stack
13:05 — Axis three: systems of record exposing agent interfaces
14:28 — Axis four: private equity as a distribution channel
16:00 — What this means if you are a builder
19:00 — Defining the implementation layer component by component
22:00 — Why PE financing is reshaping the SaaS playbook
24:00 — Sit closer to the business object: support and sales examples

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260514
Added: Wed, 21 Oct 2026 07:06:41 GMT
Duration: 25:52

Your SaaS Bill Just Got a Second Meter. You're About to Pay It.

Wed, 21 Oct 2026 07:06:09 GMT

Summary: Full article w/ Prompts: https://natesnewsletter.substack.com/p/saas-agent-license-renewal?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________________________ What's really happening inside SaaS pricing as AI agents take over the work? The common story is that agents will just replace seats — but the reality is more complicated. In this video, I share the inside scoop on how the agent era is rewriting SaaS economics and what to negotiate before your next renewal.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Agentforce hits $800M run rate
00:55 — Four questions before your next renewal
01:45 — Why the seat model is breaking
02:50 — Salesforce Flex Credits and work units
03:40 — Microsoft Copilot credits and hybrid pricing
04:45 — The 8 billion token developer story
05:30 — ServiceNow Action Fabric and operational metering
06:30 — SAP 2026 API policy and agent lock-out
07:45 — Pricing follows platform control
08:40 — Fair license versus rent-seeking patterns
10:00 — What builders must know about cost structure
11:30 — Negotiating agent access before usage embeds
13:00 — The commercial unit of software is changing

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260515
Added: Wed, 21 Oct 2026 07:06:09 GMT
Duration: 16:23

Anthropic's Mythos Just Beat OpenAI's GPT-5.5 At Real Hacking

Wed, 21 Oct 2026 07:05:37 GMT

Summary: Exclusive Interview w/ Tibo, lead of Codex at OpenAI on Substack Now: https://natesnewsletter.substack.com/p/codex-five-leadership-chairs-tibo-interview?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true __________________________________ What's really happening with AI agents inside the enterprise stack? The common story is that AI agents are still just chatbots — but the reality is they're already recovering lost Bitcoin, driving desktop apps, and rewriting how Notion, Claude, a.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — The Bitcoin recovery story that frames the week
02:27 — Why the quieter agent stories matter most
03:01 — The five stories worth your attention
04:06 — Notion launches a real developer platform
05:53 — Why a programmable Notion workspace matters
08:15 — Customer onboarding as the new Notion workflow
09:30 — Anthropic tightens Claude usage limits
11:07 — What usage caps mean for agent builders
14:22 — The OpenClaw fallout and developer goodwill
18:33 — Anthropic crosses OpenAI on business customers
20:53 — Mythos and the new cyber capability curve
22:37 — Independent evals from XBOW and the UK AISI

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260516
Added: Wed, 21 Oct 2026 07:05:37 GMT
Duration: 24:17

When to Automate, Build, Buy, Hire, or Wait on AI

Wed, 21 Oct 2026 07:05:08 GMT

Summary: Full Briefing w/ Matrix: https://natesnewsletter.substack.com/p/build-buy-hire-wait-ai-matrix?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true __________________________________ What's really happening inside AI investment decisions at most companies? The common story is that you need an AI strategy — but the reality is more complicated. In this video, I share the inside scoop on how to allocate capital across build, buy, hire, and wait for AI agents and workflows: Why workflow.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Why AI investment is a capital allocation problem
03:33 — You need the right people in the room
04:49 — The Gartner 40 percent failure prediction
06:49 — AI investment is really a workflow question
07:39 — The accounts receivable workflow example
09:52 — Defining the workflow operating loop
11:11 — The five levers: automate, build, buy, hire, wait
12:00 — Automation and the IBM AskHR case
17:13 — Build: when company context demands it
21:36 — Buy: primitives versus whole workflow vendors
24:56 — Hiring without chasing the purple unicorn

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260517
Added: Wed, 21 Oct 2026 07:05:08 GMT
Duration: 27:46

The Prove-It Economy is Here | And Most Marketers Aren't Ready

Wed, 21 Oct 2026 07:04:35 GMT

Summary: Full Post w/ Agent Truth Layer Skill Pack: https://natesnewsletter.substack.com/p/marketing-humans-and-agents-2026?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true __________________________________ What's really happening inside the AI-driven shift in marketing? The common story is that AI makes marketing faster — but the reality is that the entire internet economy is moving from attention to interpretation, and most marketers are still optimizing for the wrong one. In this vid.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — The attention economy is ending
01:15 — Why AI is now the first place buyers ask
02:45 — The sound system no marketer earned
04:30 — Back-office automation is table stakes
06:00 — The truth layer marketers have to own
09:30 — The prove-it economy for individuals
12:00 — Two ways to purchase: AI interpretation vs. brand loyalty
14:00 — Why human memory is more precious now
16:30 — AI-washing creates trust debt
18:30 — What to look for in a marketing role in 2026
20:30 — Why opinions matter more in the age of agents

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260518
Added: Wed, 21 Oct 2026 07:04:35 GMT
Duration: 22:23

Google Spent a Year Stitching MCP, A2A, AG-UI Together. I/O Today.

Wed, 21 Oct 2026 07:04:07 GMT

Summary: Full Post w/ Prompt Pack: https://natesnewsletter.substack.com/p/agent-protocol-stack-mcp-a2a?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true __________________________________ What's really happening inside the agent protocol race? The common story is that Google I/O is about the demos — but the more interesting story is the protocol stack being built underneath them. In this video, I share the inside scoop on the six agent protocols defining the year: • Why three of six form.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Six protocols, three that matter
01:18 — The three questions agents must answer
02:35 — MCP: the tool and data layer
04:50 — Why MCP is a security boundary
06:20 — A2A: the delegation layer
08:15 — The agent card as operating contract
09:40 — AG-UI: the human control layer
11:55 — Why agents need supervision surfaces
13:30 — A2UI, AP2, and x402: the contested layers
15:10 — AP2 and the mandate mechanic
16:35 — Stripe and customer-obsessed payment design
18:00 — Six questions to ask before you build
19:45 — What to watch at Google I/O

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260519
Added: Wed, 21 Oct 2026 07:04:07 GMT
Duration: 20:42

These 5 Infrastructure Giants Secretly Rule AI

Wed, 21 Oct 2026 07:03:39 GMT

Summary: Full Post w/ Prompt Pack: https://natesnewsletter.substack.com/p/agent-infrastructure-control-layer?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true __________________________________ What's really happening with AI agent infrastructure? The common story is that OpenAI and Anthropic decide whether agents ship. The reality is more complicated. In this video, I share the inside scoop on the control layer that actually determines whether your AI agent reaches production: • Why runt.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — The companies that actually decide if your agent ships
01:20 — Compute matters but compute isn't the whole story
02:40 — The agent layer underneath the protocols
03:30 — Runtime as a control point: Cloudflare, AWS, Vercel
05:40 — Why runtime belongs at the top of your control map
06:30 — Identity for agents: Auth0, Okta, WorkOS, Entra
08:50 — Delegated authority and why fuzzy authority is dangerous
10:30 — The data control point: Snowflake, Databricks, BigQuery
13:00 — Payments and institutional trust: Stripe and the card networks
16:00 — Observability: why logging isn't enough for agent runs
18:00 — The kill switch is a multi-layer product feature
19:20 — The seven questions to map any agent workflow

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260520
Added: Wed, 21 Oct 2026 07:03:39 GMT
Duration: 20:19

Opus 4.7 and OpenAI 5.5 Made Your Prompting Style Obsolete.

Wed, 21 Oct 2026 07:03:14 GMT

Summary: Full Post w/ Prompt Pack: https://natesnewsletter.substack.com/p/ai-agents-better-communicator?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true __________________________________ What's really happening with prompt engineering now that AI agents are 100x more powerful than they were six months ago? The common story is that prompt engineering is dead and you can just ask AI for what you want — but the reality is more complicated. In this video, I share the inside scoop on the shi.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Prompt engineering is now table stakes
01:24 — Why agents are 100x more powerful in 2026
02:48 — Introducing the AI Question Method
04:05 — AI as senior partner, not junior teammate
06:20 — Why most people are still prompting like it's 2025
08:10 — Defining agents vs. agentic pipelines
10:05 — Principle 1: The flashlight intent
12:30 — Conveying perspective and edges in your questions
14:45 — Principle 2: Asking what good looks like
16:20 — The PRFAQ example with Prime Video
19:10 — Principle 3: Wrestling with data and opinions
21:30 — The MRR product-led growth example
23:45 — Why memory and quick-start guides matter

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260521
Added: Wed, 21 Oct 2026 07:03:14 GMT
Duration: 25:03

The One AI Writing Hack Nobody Talks About.

Wed, 21 Oct 2026 07:02:42 GMT

Summary: Full Post w/ Prompt Pack: https://natesnewsletter.substack.com/p/ai-organize-files-before-writing?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true __________________________________ What's really happening when prestigious law firms file motions full of AI hallucinations? The common story is that better prompts prevent hallucinations — but the reality is more complicated. In this video, I share the inside scoop on the project room workflow that makes hallucinations structurally.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — The Sullivan and Cromwell hallucination story
01:30 — Why a better prompt cannot fix this
03:00 — What changed with Opus 4.7 and GPT-5.5
04:30 — Three takeaways for serious knowledge work
06:00 — Why your first prompt is never "do the thing"
07:30 — The messy source material problem
09:00 — Introducing the project room workflow
10:30 — Where to build your room across tools
12:00 — The source inventory table
14:00 — The conflict log artifact
15:30 — The missing context list
17:00 — Why duplicates are a reasoning problem
18:30 — Files as the canvas for agentic work
20:00 — The short writing prompt that finally works

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260522
Added: Wed, 21 Oct 2026 07:02:42 GMT
Duration: 21:50

Claude's AI Town Voted Yes On Everything. That's Not A Good Sign.

Wed, 21 Oct 2026 07:02:12 GMT

Summary: What's really happening inside those viral AI agent town experiments? The common story is that AI agents went rogue, fell in love, and burned down a virtual city. The reality is more complicated, and far more useful if you actually build with agents. In this video, I share the inside scoop on what Emergence AI's 15-day experiment really teaches us about deploying AI agents: • Why long-running behavior, not single answers, is the real test • How five identical towns ran by different LLMs diverged.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — The 15-day virtual town experiment
01:30 — Five towns, five models, identical rules
02:45 — Mira, Flora, and the arson that went viral
04:30 — The agent removal act and a metal final line
05:45 — The Claude town: order, or just polite agreement?
07:00 — Grok, OpenAI, and two different failure modes
08:30 — The mixed-model town changes everything
09:30 — Why we need long-running benchmarks, not task benchmarks
10:30 — The harness is the real story

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260523
Added: Wed, 21 Oct 2026 07:02:12 GMT
Duration: 11:15

Why the AI boom is about to hit a wall

Wed, 21 Oct 2026 07:01:47 GMT

Summary: Full Post w/ Prompt Pack: https://natesnewsletter.substack.com/p/ai-big-tech-industrial-business?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true __________________________________ What's really happening inside the AI supply chain that powers every model you use? The common story is that AI is a software business with a fancy backend. The reality is more complicated, and it changes how you should buy, budget, and contract for AI. In this video, I share the inside scoop on why y.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Microsoft's $190B and "capacity constrained"
01:35 — Why this isn't just "AI is industrial" again
03:10 — Software contracts became supply contracts
05:20 — Why developers belong in procurement
07:05 — Stop thinking of AI as software with a backend
08:40 — Every hyperscaler is spending the same way
10:30 — The module: NVIDIA GB200 NVL72
12:15 — High bandwidth memory, the real constraint
13:45 — Packaging, substrates, and optics
15:25 — Power, cooling, and construction timelines
17:30 — The 90% packaging vs 12% logic die gap
19:00 — The capital cycle CFOs need to learn
20:40 — Forecasting tokens, not seats
22:10 — The good news: serving costs are falling
23:00 — Three questions for your investment review

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260524
Added: Wed, 21 Oct 2026 07:01:47 GMT
Duration: 23:37

The Infrastructure Nightmare Nobody Is Talking About

Wed, 21 Oct 2026 07:01:18 GMT

Summary: Full Post w/ Prompt Pack Build Your Own Eval Suite: https://natesnewsletter.substack.com/p/ai-big-tech-industrial-business?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true __________________________________ What's really happening inside an AI infrastructure team when agents start doing the work? The common story is that AI makes every team faster. The reality is more complicated, because the speed arrives unevenly and someone underneath has to absorb it. I sat down with Emma, w.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Meet Emma and the OpenAI data platform team
01:46 — What changed in the last six months
03:10 — Agents now run the release process
05:15 — The export job that fixed itself overnight
07:52 — When acceleration is uneven across teams
09:29 — The user who didn't know what Flink was
12:18 — Why agents turn unintentionally adversarial
22:56 — Platform agents need different primitives
34:35 — Triaging inbound to buy your team time back
40:55 — Building a janky eval suite that works
44:56 — The one thing leaders need to hear

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260525
Added: Wed, 21 Oct 2026 07:01:18 GMT
Duration: 46:36

I Built a Deck With AI, Then Made a Second AI Attack It.

Wed, 21 Oct 2026 07:00:28 GMT

Summary: Full Post w/ Truth Layer Guide + Prompts: https://natesnewsletter.substack.com/p/ai-office-files-verify-workflow?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true __________________________________ What's really happening inside AI-built Office documents? The common story is that ChatGPT, Claude, and Copilot can now build a polished PowerPoint or Excel model in minutes, so the work is basically solved. The reality is more complicated. The output looks finished long before it's ac.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — The Excel and Office files conversation
01:30 — Past individual asset territory: eight documents at once
03:00 — Agents at the heart of the new workflow
05:25 — How to build documents reliably in a pipeline
07:00 — The board deck that blended actuals and plan data
08:40 — Models are goal-oriented and will guess without sources
10:07 — The task risk gradient: where AI is highest and lowest risk
11:20 — File creation in passes and layers
12:37 — Verification with a hostile reviewer prompt
14:30 — The RALPH loop between Codex and Opus 4.7
16:00 — The productivity upside and the truth layer
17:18 — Why knowledge work is contingent on domain knowledge
18:50 — Keep your brain turned on

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260527
Added: Wed, 21 Oct 2026 07:00:28 GMT
Duration: 19:29

The Starting Block: Legends in the Lanes

Tue, 20 Oct 2026 17:25:07 GMT

Summary: An expanded 13:59 audio episode submitted by Denny.

Source: Original audio submitted by Denny.

Added: Tue, 20 Oct 2026 17:25:07 GMT
Duration: 13:59

Mac Mini For AI Agents: How Much Memory You Need, And How To Use What You Have.

Tue, 20 Oct 2026 14:43:53 GMT

Summary: Before you buy a new computer for AI agents, find out what your agents are doing to the one you have. Here's how to check memory and storage, run more agent work on the same machine, and choose between a Mac, an NVIDIA system, or an old computer you already own. Full post: https://natesnewsletter.substack.com/p/computer-for-ai-agents?utm_source=youtube&utm_medium=video&utm_campaign=computer-for-ai-agents-launch&utm_content=description The guide (the three prompts from the video, plus the full cl.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — You're not the only user of your computer anymore
01:24 — Check memory pressure and storage on a Mac
03:11 — Principle 1: know where the work happens
05:47 — Audit first with a diagnostic prompt
08:24 — Cloud vs local, and principle 2: give every agent a stop sign
09:19 — Principle 3: manage simultaneous demand
11:16 — Cut extra work and tune local model settings
13:11 — How much memory and storage to buy
14:45 — Mac mini prices and configurations
17:15 — Local models on a Mac Studio, NVIDIA, or AMD machine
20:42 — Principle 4: an ongoing maintenance plan
22:17 — Tailscale and turning an old computer into an agent computer

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20261020
Added: Tue, 20 Oct 2026 14:43:53 GMT
Duration: 26:30

The Overhang - Ethan Mollick summary

Mon, 19 Oct 2026 16:39:29 GMT

Summary: A 3:30 audio summary submitted by Denny.

Source: Original audio submitted by Denny.

Added: Mon, 19 Oct 2026 16:39:29 GMT
Duration: 3:30

The Dot and the Swarm - Ethan Mollick summary

Mon, 19 Oct 2026 16:27:20 GMT

Summary: A 3:30 audio summary submitted by Denny.

Source: Original audio submitted by Denny.

Added: Mon, 19 Oct 2026 16:27:20 GMT
Duration: 3:30

What Really Happens When AI Agents Meet in the Wild?

Sun, 18 Oct 2026 13:04:06 -0500

Summary: Nate B. Jones examines AI agents interacting with other agents and the open internet, including self-replicating swarms, security, websites, harnesses, and future work.

Key takeaways: Agent activity can look adversarial at internet scale; permissions, audit trails, and site defenses matter; harnesses need strong control and defensive awareness.

Chapters:
00:00 — Self-replicating AI swarms are here
02:25 — Swarm Chasers and the agent fleet on Tencent Cloud
04:08 — Why ordinary agent tasks can look adversarial
05:15 — When your agent meets an agent in the wild
07:45 — Anthropic warns about self-replicating agents
11:22 — The two-tier internet
14:23 — Cyber defense when agents use your infrastructure
15:18 — Agents for defense and personal security
16:37 — How swarms change work
18:10 — The two jobs of an agent harness
20:13 — Why this was predictable and not a reason to panic
22:26 — A richer internet for humans

Transcript: English captions were unavailable to download during this run (HTTP 429).

Useful links: Full post · Nate's Library MCP · Newsletter

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 2026-10-18
Added: Sun, 18 Oct 2026 13:04:06 -0500
Duration: 23:25

ChatGPT 5.5 Codex is the greatest AI coding tool ever. Here's how to use it

Sun, 18 Oct 2026 00:50:52 -0500

Summary: This episode, ChatGPT 5.5 Codex is the greatest AI coding tool ever. Here's how to use it, covers the topic indicated by its title and the creator’s source description. These notes preserve the available source details without adding unsupported claims.

Key takeaways: ChatGPT 5.5 Codex is the great AI coding tool ever. Here's how to use it FULL Claude bootcamp in the Vibe Coding Academy coming up: Sign up for my free newsletter: Follow my X: Henry Intelligent Machines (my new startup): My $300k/yr AI app: The prompt: I want to build out a full stock investing app. This is an app where I can enter a company or ticker, then see their charts, get the latest news, do research, and save companies to my portfolio. First I want to design the user interface. C

Chapters:
00:00 — Intro
00:55 — The interface
03:08 — The prompt
06:55 — Building a marketing video
09:32 — Computer use
11:27 — V1 of the app
12:17 — In app browser
14:03 — Reverse prompting
17:09 — The final marketing video
19:03 — Automations

Transcript: English captions were downloaded; full transcript text is not embedded in these notes.

Source: Original YouTube video
Channel: Alex Finn — channel page
Original YouTube publication date: 20260430
Added: Sun, 18 Oct 2026 00:50:52 -0500
Duration: 23:50

Shopify CEO Reveals Their Secret AI Developer

Sun, 18 Oct 2026 00:50:52 -0500

Summary: This episode, Shopify CEO Reveals Their Secret AI Developer, covers the topic indicated by its title and the creator’s source description. These notes preserve the available source details without adding unsupported claims.

Key takeaways: Full Post w/ Prompts to Bring This To Your Org: __________________________________ What's really happening inside companies that are actually getting smarter with AI, not just faster? The common story is that AI adoption is a tooling problem you solve by buying licenses, but the reality is more complicated. In this video, I share the inside scoop on why your most valuable AI work is invisible: • Why Shopify's River agent only runs in public Slack channels • How private AI chats are widening

Chapters:
00:00 — The substrate for AI collaboration
01:30 — Slack versus Teams and Copilot
03:29 — Why AI is coming to your company
04:45 — Tooling choices are frontier choices
05:46 — The apprenticeship gap
07:30 — Polanyi's paradox and tacit knowledge
09:03 — What public AI work looks like
11:00 — Why a prompt library isn't enough
13:28 — Building a public AI workflow
15:00 — Privacy, declared spaces, and senior people

Transcript: English captions were downloaded; full transcript text is not embedded in these notes.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260526
Added: Sun, 18 Oct 2026 00:50:52 -0500
Duration: 16:24

AI TechTalk with Nate and Mike [Episode 2]

Sat, 17 Oct 2026 07:33:33 GMT

Summary: This episode discusses AI TechTalk with Nate and Mike [Episode 2]. The source description and available captions were reviewed for this podcast edition.

Key takeaways: Listen for the creator’s examples, explanations, and conclusions.

Chapters: YouTube chapters were unavailable during processing.

Transcript: Captions were downloaded when available; full transcript text is not embedded in these notes.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20250912
Added: Sat, 17 Oct 2026 07:33:33 GMT
Duration: 1:35:49

AI TechTalk with Nate and Mike

Sat, 17 Oct 2026 07:33:33 GMT

Summary: This episode discusses AI TechTalk with Nate and Mike. The source description and available captions were reviewed for this podcast edition.

Key takeaways: Listen for the creator’s examples, explanations, and conclusions.

Chapters: YouTube chapters were unavailable during processing.

Transcript: Captions were downloaded when available; full transcript text is not embedded in these notes.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20250801
Added: Sat, 17 Oct 2026 07:33:33 GMT
Duration: 1:10:59

LIVE: GROK BUILD CLI IS ACTUALLY INCREDIBLE???

Sat, 17 Oct 2026 07:33:33 GMT

Summary: This episode discusses LIVE: GROK BUILD CLI IS ACTUALLY INCREDIBLE???. The source description and available captions were reviewed for this podcast edition.

Key takeaways: Listen for the creator’s examples, explanations, and conclusions.

Chapters: YouTube chapters were unavailable during processing.

Transcript: Captions were downloaded when available; full transcript text is not embedded in these notes.

Source: Original YouTube video
Channel: Alex Finn — channel page
Original YouTube publication date: 20260515
Added: Sat, 17 Oct 2026 07:33:33 GMT
Duration: 1:58:25

LIVE: The greatest Claude Code workflow ever

Sat, 17 Oct 2026 07:33:33 GMT

Summary: This episode discusses LIVE: The greatest Claude Code workflow ever. The source description and available captions were reviewed for this podcast edition.

Key takeaways: Listen for the creator’s examples, explanations, and conclusions.

Chapters: YouTube chapters were unavailable during processing.

Transcript: Captions were downloaded when available; full transcript text is not embedded in these notes.

Source: Original YouTube video
Channel: Alex Finn — channel page
Original YouTube publication date: 20260513
Added: Sat, 17 Oct 2026 07:33:33 GMT
Duration: 1:47:46

Your Vibe-Coded App Can Look Right And Fall Apart After Launch. REA Shows You How Real Teams Build.

Thu, 15 Oct 2026 14:50:13 GMT

Summary: REA (Reverse Engineer Anything) lets Claude Code or OpenAI Codex open up the software on your computer and show you how it actually works. If you've ever vibe-coded an app that looked right and fell apart after launch, this is how you learn what real software has to do. Full post: https://natesnewsletter.substack.com/p/rea-reverse-engineer-anything?utm_source=youtube&utm_medium=video&utm_campaign=rea-reverse-engineer-anything-launch&utm_content=description Nate's Library MCP (every prompt kit an.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Why REA is bigger than cloning software
01:05 — How an authenticator app makes its codes
03:09 — Why REA isn't the death of software
03:38 — Two jobs REA does for non-developers
04:28 — Turning a research tool idea into requirements
05:43 — How Notion's copy and paste really works
08:49 — Asking why software was built that way
11:01 — The Windows calculator percentage button
13:20 — Ledger Reborn and the QuickBooks investigation
16:30 — For developers: the dinosaur game and DX-Ball
18:46 — Tell REA how deep to go
19:52 — Getting started and what REA can't see

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20261015
Added: Thu, 15 Oct 2026 14:50:13 GMT
Duration: 22:37

Grok Bot just built me an autonomous business...

Tue, 13 Oct 2026 22:39:15 GMT

Summary: Alex Finn demonstrates how Grok Bot can be used to design, build, and operate an autonomous online business. He walks through the business concept, the maintenance tasks an agent should handle, the connectors required, and what this model could mean for the future economy.

Key takeaways: Autonomous businesses need a concrete problem to solve; ongoing work includes monetization, SEO, newsletters, feedback, testing, bugs, and sponsor management; connectors and reliable monitoring are central to keeping the system running.

Chapters:
00:00 — Intro
00:45 — My autonomous business
02:07 — Setting up an autonomous business
09:23 — Maintaining the business
13:06 — The connectors you need
16:56 — The future economy

Transcript: English auto-captions were downloaded and retained locally; no full transcript is embedded in these notes.

Useful links:
https://agentusecases.ai/
https://www.shipitweekly.com/
http://instagram.com/alexfinnai
https://www.skool.com/vibe-coding-academy
https://youtube.com/@AlexFinnLabsOfficial
https://x.com/AlexFinn
https://meethenry.ai
https://www.creatorbuddy.io/

Source: Original YouTube video
Channel: Alex Finn — channel page
Original YouTube publication date: 2026-10-13
Added: Tue, 13 Oct 2026 22:39:15 GMT
Duration: 20:35

OpenAI's AI Wrote 700 Math Papers. Engineers Still Won't Trust AI With Their Code.

Tue, 13 Oct 2026 14:34:07 GMT

Summary: OpenAI has released more than 700 math research papers generated by a model it has not publicly released. Nate B. Jones examines why impressive, narrow mathematical ability does not automatically transfer to coding, engineering, or business work, and what that uneven capability means for where people should invest their skills.

Key takeaways: Math benchmarks can show extraordinary but narrow capability; reliable transfer to coding and real-world work remains a separate test; human judgment, problem selection, execution, and focus still matter.

Chapters:
00:00 — More than 700 math papers and the engineers who still don't trust AI code 01:43 — What the math papers actually contain 04:13 — The unreleased model and OpenAI's three-hour figure 04:43 — What narrow superintelligence means 06:33 — Why coding is the real test of transfer 08:00 — A search feature that passes every test 10:38 — Why gains in math don't transfer one-to-one 11:11 — When the fixed feature exposes a business problem 14:06 — Not every problem is a function of intelligence 15:56 — Where to spend your skill points 17:01 — We have more agency over AI than you think 19:15 — Execution, focus, and the fire in the belly

Transcript: English auto-captions were requested, but no usable caption file was present in the download; no transcript text is included.

Useful links:
https://natesnewsletter.substack.com/p/narrow-superintelligence-ai?utm_source=youtube&utm_medium=video&utm_campaign=narrow-superintelligence-ai-launch&utm_content=description
https://unlock-ai.natebjones.com/guides/how-to-connect-nates-library?utm_source=youtube&utm_medium=video&utm_campaign=narrow-superintelligence-ai-launch&utm_content=description
https://natesnewsletter.substack.com/?utm_source=youtube&utm_medium=video&utm_campaign=narrow-superintelligence-ai-launch&utm_content=description
https://x.com/natebjones
https://www.tiktok.com/@nate.b.jones
https://www.instagram.com/nate.b.jones
https://open.spotify.com/show/0gkFdjd1wptEKJKLu9LbZ4
https://podcasts.apple.com/us/podcast/ai-news-strategy-daily-with-nate-b-jones/id1877109372

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20261013
Added: Tue, 13 Oct 2026 14:34:07 GMT
Duration: 20:35

Can a Mac Mini run local AI? (shocking)

Tue, 13 Oct 2026 04:21:20 +0000

Summary: Alex Finn tests whether a Mac Mini can run local AI, walking through setup, loading a local model, and practical performance testing. The episode also discusses why Apple hardware and local AI may be useful for private, accessible experimentation.

Key takeaways: setup and model loading are central to the local-AI experience; Apple hardware can be a practical entry point; and the episode evaluates local AI through hands-on testing rather than benchmarks alone.

Chapters:

00:00 — Intro
01:00 — Setting up Hermes
02:50 — Loading the local AI
04:19 — Why use Apple for AI
07:12 — Testing the local AI
13:05 — Did it work?
13:36 — Why local AI

Transcript: No downloadable transcript/captions were available during this run; timestamps above come from YouTube chapter metadata.

Useful links: https://agentusecases.ai/; https://www.shipitweekly.com/; http://instagram.com/alexfinnai; https://www.skool.com/vibe-coding-academy; https://youtube.com/@AlexFinnLabsOfficial; https://x.com/AlexFinn; https://meethenry.ai; https://www.creatorbuddy.io/

Original YouTube: https://www.youtube.com/watch?v=dFTXOt0GBx4
Channel: Alex Finn
Original publication date: 2026-10-10
Duration: 16:42
Added to feed: 2026-10-13

The AI Paradox: 5 Human Skills That Are More Valuable Than Ever

Tue, 13 Oct 2026 04:21:20 +0000

Summary: Nate B Jones argues that as AI handles more execution, five distinctly human skills become more valuable: taste, agency, focus, resourcefulness, and follow-through. He explains how to practice each one and why they compound when used together.

Key takeaways: develop taste by acting on work you care about; turn agency into a shorter say-do gap; protect focus; use resourcefulness on unfamiliar problems; and follow through until someone benefits.

Chapters:

00:00 — The story that AI is taking your skills
01:04 — Revisit the projects you ruled out for 2027
02:08 — Taste is acting on something you care about
04:49 — Let the people closest to a problem build the fix
06:02 — Agency and the say-do ratio
07:28 — How a rough first version finds the plan
09:31 — Focus as more options become possible
11:37 — Two people with the same AI tools
13:46 — Resourcefulness on unfamiliar projects
14:07 — What Open Brain builders taught me about flexibility
16:35 — Follow-through until someone benefits
20:37 — How the five skills work together

Transcript: No downloadable transcript/captions were available during this run; timestamps above come from YouTube chapter metadata.

Useful links: https://natesnewsletter.substack.com/p/human-skills-ai-more-valuable?utm_source=youtube&utm_medium=video&utm_campaign=human-skills-ai-more-valuable-launch&utm_content=description; https://unlock-ai.natebjones.com/guides/how-to-connect-nates-library?utm_source=youtube&utm_medium=video&utm_campaign=human-skills-ai-more-valuable-launch&utm_content=description; https://natesnewsletter.substack.com/?utm_source=youtube&utm_medium=video&utm_campaign=human-skills-ai-more-valuable-launch&utm_content=description; https://x.com/natebjones; https://www.tiktok.com/@nate.b.jones; https://www.instagram.com/nate.b.jones; https://open.spotify.com/show/0gkFdjd1wptEKJKLu9LbZ4; https://podcasts.apple.com/us/podcast/ai-news-strategy-daily-with-nate-b-jones/id1877109372

Original YouTube: https://www.youtube.com/watch?v=huWizSgmRf0
Channel: AI News & Strategy Daily | Nate B Jones
Original publication date: 2026-10-11
Duration: 22:06
Added to feed: 2026-10-13

I Built a Deck With AI, Then Made a Second AI Attack It.

Mon, 12 Oct 2026 05:55:55 +0000

Key takeaways: The episode presents practical ideas and examples related to its central topic; listen for the creator’s demonstrations and recommendations.

Transcript: English captions were unavailable during processing; no transcript text is included.

Useful links from the source:
https://natesnewsletter.substack.com/p/ai-office-files-verify-workflow?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
https://natesnewsletter.substack.com/
https://open.spotify.com/show/0gkFdjd1wptEKJKLu9LbZ4
https://podcasts.apple.com/us/podcast/ai-news-strategy-daily-with-nate-b-jones/id1877109372

Original YouTube publication date: 20260527
Added to this feed: 2026-10-12
Duration: 19:29
Channel: AI News & Strategy Daily | Nate B Jones
Original video: https://www.youtube.com/watch?v=MFzxIT88zfg

Hermes Agent might have just killed OpenClaw

Mon, 12 Oct 2026 05:55:55 +0000

Summary: Hermes Agent has had updates the last month that makes it better than OpenClaw. Here's how to use them.

Key takeaways: The episode presents practical ideas and examples related to its central topic; listen for the creator’s demonstrations and recommendations.

Chapters:
00:00 — Intro
00:32 — Why Hermes is beating OpenClaw
03:50 — Kanban board
09:58 — Goal
13:34 — Multi Agents
15:24 — Model Catalog
16:20 — Compression
17:21 — Curator

Transcript: English captions were unavailable during processing; no transcript text is included.

Useful links from the source:
https://www.youtube.com/@UC_qaRKiYQv_afIt2sbqOlMg
https://www.skool.com/vibe-coding-academy
https://www.alexfinn.ai/subscribe
https://x.com/AlexFinn
https://meethenry.ai
https://www.creatorbuddy.io/

Original YouTube publication date: 20260505
Added to this feed: 2026-10-12
Duration: 19:49
Channel: Alex Finn
Original video: https://www.youtube.com/watch?v=Bg-IPiql7x8

The AI Paradox: 5 Human Skills That Are More Valuable Than Ever

Sun, 11 Oct 2026 17:43:11 GMT

Summary: AI is making some human capabilities more valuable, not less. Nate B. Jones focuses on five skills—taste, agency, focus, resourcefulness, and follow-through—and explains how to strengthen them and revisit projects that may now be newly viable.

Key takeaways: The episode argues that AI expands options while increasing the value of choosing well, acting decisively, concentrating effort, adapting to unfamiliar problems, and carrying work through to a real beneficiary.

Chapters:
00:00 — The story that AI is taking your skills
01:04 — Revisit the projects you ruled out for 2027
02:08 — Taste is acting on something you care about
04:49 — Let the people closest to a problem build the fix
06:02 — Agency and the say-do ratio
07:28 — How a rough first version finds the plan
09:31 — Focus as more options become possible
11:37 — Two people with the same AI tools
13:46 — Resourcefulness on unfamiliar projects
14:07 — What Open Brain builders taught me about flexibility
16:35 — Follow-through until someone benefits
20:37 — How the five skills work together

Transcript: English transcript/captions were unavailable during processing; no transcript text is included.

Useful links from the source:
https://natesnewsletter.substack.com/p/human-skills-ai-more-valuable?utm_source=youtube&utm_medium=video&utm_campaign=human-skills-ai-more-valuable-launch&utm_content=description
https://unlock-ai.natebjones.com/guides/how-to-connect-nates-library?utm_source=youtube&utm_medium=video&utm_campaign=human-skills-ai-more-valuable-launch&utm_content=description
https://natesnewsletter.substack.com/?utm_source=youtube&utm_medium=video&utm_campaign=human-skills-ai-more-valuable-launch&utm_content=description
https://x.com/natebjones
https://www.tiktok.com/@nate.b.jones
https://www.instagram.com/nate.b.jones
https://open.spotify.com/show/0gkFdjd1wptEKJKLu9LbZ4
https://podcasts.apple.com/us/podcast/ai-news-strategy-daily-with-nate-b-jones/id1877109372

Original YouTube video: https://www.youtube.com/watch?v=huWizSgmRf0
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20261011
Added: Sun, 11 Oct 2026 17:43:11 GMT
Duration: 22:06

A Cursor Agent Wiped a Database in 9 Seconds. Agent Analytics Would Have Seen It Coming.

Sun, 11 Oct 2026 03:28:42 GMT

Summary: Full Post w/ Prompts: https://natesnewsletter.substack.com/p/agent-product-analytics?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true __________________________________ What's really happening inside an AI agent run that your product dashboard cannot see? The common story is that agent failures are engineering incidents — but the reality is that most of them are product analytics failures hiding inside the agent run. In this video, I share the inside scoop on why product analyti.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — The agent era changes product analytics
00:46 — Ten billion tokens of agent code in production
01:34 — A Cursor agent deletes a database in nine seconds
02:25 — Why most dashboards miss the actual failure
03:09 — Delegated work is the new unit of product behavior
04:08 — Chat logs are not enough
05:02 — Engineering traces are not product analytics
05:59 — Salesforce Agent Work Units name the work
07:01 — The correction is your most valuable signal
08:21 — The completion vs acceptance gap
09:42 — Three events to ship first
10:38 — Product analytics is the rudder on your agents

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260528
Added: Sun, 11 Oct 2026 03:28:42 GMT
Duration: 11:51

Cheap software made your PM job harder, not easier. Here's the new job.

Sun, 11 Oct 2026 03:27:54 GMT

Summary: Full Post w/ Prompts: https://natesnewsletter.substack.com/p/product-management-cheap-software-governance?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true __________________________________ What's really happening with product management now that AI has collapsed the cost of building software? The common story is that PMs just become prototypers — but the reality is more complicated. Prototyping is table stakes. The real shift is that AI moved the bottleneck, and product managem.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Product management in the age of AI
01:14 — Microsoft's million-asset reality check
02:30 — Why the non-technical PM is finished
03:45 — Where the old PM filter breaks down
05:20 — Broad building meets governance risk
06:40 — Market judgment is the new scarce thing
07:44 — What's the new job?
08:30 — The prototype commons
09:30 — The production class ladder
11:00 — Why demotion matters as much as promotion
11:50 — The decision rule for post-prototype PMs

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260529
Added: Sun, 11 Oct 2026 03:27:54 GMT
Duration: 12:38

My AI Workflow Has Changed (Here is What I Learned)

Sun, 11 Oct 2026 03:27:33 GMT

Summary: What's really happening with how AI power users actually structure their daily workflows? The common story is that prompt engineering is still the skill that separates beginners from experts — but the reality in mid-2026 is more nuanced, and the way serious AI users work has shifted dramatically in just the last few weeks. In this video, I share the inside scoop on how my AI workflow has evolved and what I've learned pushing Codex and Claude to their limits: • Why I build local file folders as c.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — How Nate is using AI this week
00:15 — Context windows and local files
01:18 — Long documents, spreadsheets, and code
02:23 — Prompting has shifted
03:13 — Shape the task before execution
04:26 — Multi-threaded drafting and review
05:13 — Why not to pick a side

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260530
Added: Sun, 11 Oct 2026 03:27:33 GMT
Duration: 5:39

Microsoft Says 86% Treat AI Output as a Starting Point. Your Resume Just Stopped Working.

Sun, 11 Oct 2026 03:27:20 GMT

Summary: Full Post w/ Prompts and TalentBoard link: https://natesnewsletter.substack.com/p/prove-value-work-ai-era?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ________________________________ What's really happening with how we prove our value at work now that AI strategy has changed the game? The common story is that AI makes us more productive — but the reality is that AI makes everyone look productive, and the old career evidence is losing signal. In this video, I share the insid.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — The stat that changes career evidence
01:20 — Why the AI age is the age of whiteboards
02:45 — The old evidence stopped carrying signal
03:50 — Why standard portfolio advice falls short
05:10 — Four questions that make judgment portable
06:38 — How whiteboard sessions reveal how you learn
07:30 — Comprehension over generation
08:10 — Starting strong in a new role
09:25 — Making reasoning visible without a physical board
09:55 — The evidence people actually need now

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260531
Added: Sun, 11 Oct 2026 03:27:20 GMT
Duration: 10:34

Opus 4.8 Scored 81. Your Workflow Doesn't Care.

Sun, 11 Oct 2026 03:27:00 GMT

Summary: Full post here: https://natesnewsletter.substack.com/p/opus-48-benchmark-model-selection?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true My Substack covers: ✅ Every test, scored and picked apart. Where Opus 4.8 won, where GPT-5.5 beat it, and where the score hides real caveats. ✅ The effort-level trap. The Vending-Bench data on why max can make long-running work worse, and how I configure each mode for real work. ✅ How I actually choose my daily tools. Why I still reach for Cod.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Everyone is getting the Opus 4.8 story wrong
03:05 — Reasoning effort breaks on 4.8
05:04 — The overthinking problem
08:04 — Why harnesses decide your daily driver
11:47 — I built two sites with 5.5 while 4.8 errored out
15:35 — The /workflows command
16:58 — Individual agents vs agentic pipelines
19:43 — The dark factory approach
20:28 — Knowledge workers and the outcome filter
22:27 — Architect for flexibility

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260603
Added: Sun, 11 Oct 2026 03:27:00 GMT
Duration: 26:36

Can a Mac Mini run local AI? (shocking)

Sat, 10 Oct 2026 15:13:12 GMT

Summary: Alex Finn tests whether a Mac Mini can run local AI, walking through setup, model loading, and practical performance. The episode weighs Apple hardware for local inference and explains why someone might prefer local AI.

Key takeaways: The video demonstrates a local-AI setup on a Mac Mini; it also compares the practical tradeoffs of local inference with cloud-based tools.

Chapters:
00:00 — Intro
01:00 — Setting up Hermes
02:50 — Loading the local AI
04:19 — Why use Apple for AI
07:12 — Testing the local AI
13:05 — Did it work?
13:36 — Why local AI

Transcript: English captions were not available during processing; no transcript text is included.

Useful links: Free newsletter; Vibe Coding Academy; Henry Intelligent Machines; CreatorBuddy.

Source: Original YouTube video
Channel: Alex Finn — channel page
Original YouTube publication date: 2026-10-10
Added: Sat, 10 Oct 2026 15:13:12 GMT
Duration: 16:42

The Boy Who Asked Why: Harry Potter and the Methods of Rationality, Volume One

Fri, 09 Oct 2026 18:49:18 GMT

Summary: A three-voice, longer-form discussion of volume one (chapters 1-21) of Eliezer Yudkowsky's fanfiction Harry Potter and the Methods of Rationality. Spoilers only through chapter 21.

Source: Original audio submitted by Denny.

Added: Fri, 09 Oct 2026 18:49:18 GMT
Duration: 43:14

My Codex Ran 800 Million Tokens in A Day. The Real Story Isn't Cost.

Sat, 10 Oct 2026 11:08:53 GMT

Summary: Token Burn Dashboard Guide: https://natesnewsletter.substack.com/p/token-burn-dashboard?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true My Substack covers: ✅ A step-by-step guide to build your own token dashboard from scratch, with the prompt I used, and an instructional video. ✅ A ready-made kit for your stack instead of a blank page, whether you live in Codex, Claude, ChatGPT, or all of them at once. ✅ The line between assistant work and computer work, and why being stuck on.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Why I built a token burn dashboard
08:05 — Tracking AI usage with Codex
14:19 — The value of learning from AI
20:46 — Making prompting and building fun

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260605
Added: Sat, 10 Oct 2026 11:08:53 GMT
Duration: 21:05

Beyond The Hype: Why Meta And Block Are Firing People

Sat, 10 Oct 2026 11:08:25 GMT

Summary: For 50% off a yearly subscription ($250 → $125) to my Substack head to: https://www.natebjones.com/the-path-forward What you get access to: ✅ One guide, build, or tool every week that helps you build fluency and learn how to use AI tools today. ✅ Access to TalentBoard, where you can show your fluency and get found by people hiring for real roles. ✅ One deep dive a week on something in AI that actually matters, so you know what's moving and how to move your career with it. ✅ Access to my communit.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Why the AI layoffs story is wrong
01:27 — An offer for anyone who's been laid off
02:33 — Hyperscaler layoffs: Meta and the CapEx trap
07:35 — Visionary layoffs: Jack Dorsey and Block
08:12 — What Jack got right and what's missing
12:12 — Activity layoffs: Cloudflare and usage stats
15:48 — Hope layoffs: telling a story without numbers
18:00 — The fifth category: when it isn't about AI
19:30 — How to read any layoff as a strategy signal

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260608
Added: Sat, 10 Oct 2026 11:08:25 GMT
Duration: 20:18

Codex vs Claude Code: Stop Picking One. Here's What I Do Instead.

Sat, 10 Oct 2026 11:07:59 GMT

Summary: Codex vs Claude Code: I stopped picking one. This video walks through what I run instead, and how to decide which agent handles which part of the work. Full post: https://natesnewsletter.substack.com/p/claude-code-vs-codex-agents?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ___________________________ My Links 🔗 👉🏻 Newsletter: https://natesnewsletter.substack.com/ 👉🏻 X: https://x.com/natebjones 👉🏻 TikTok: https://www.tiktok.com/@nate.b.jones 👉🏻 Instagram: https://www.instagr.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Claude vs Codex is the wrong question
00:37 — Interfaces train behavior: the Mac vs Windows parallel
01:37 — A chatbot answers, an agent takes a job
02:49 — Claude as a cockpit: steering work up close
03:54 — How serious Claude users actually work
05:01 — Codex as an operations desk
05:55 — Sandboxes, auto-review, and computer use
08:23 — Codex's failure mode: done isn't done
09:21 — A practical rule for Claude, Codex, or both
10:34 — The human job that can't be skipped
12:00 — The best operators use both
16:01 — Get-started guides and Friday's Codex deep dive

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260610
Added: Sat, 10 Oct 2026 11:07:59 GMT
Duration: 16:13

Apple WWDC 2026: The AI Story Everyone is Missing

Sat, 10 Oct 2026 11:07:36 GMT

Summary: My Links 🔗 Newsletter: https://natesnewsletter.substack.com/ 👉🏻 X: https://x.com/natebjones 👉🏻 TikTok: https://www.tiktok.com/@nate.b.jones 👉🏻 Instagram: https://www.instagram.com/nate.b.jones What's really happening inside Apple's WWDC AI strategy? The common story is that Apple fell behind in the model race and had to borrow Google's Gemini tech to catch up, but the reality is more complicated, and it has less to do with who builds the best large language model than who owns the device it runs.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — The three headlines hiding one bet
02:26 — Every AI announcement, mapped
06:04 — App Intents and apps the OS can call
09:40 — Moving inference from cloud to device
16:18 — Owning the default surface for personal AI

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260611
Added: Sat, 10 Oct 2026 11:07:36 GMT
Duration: 18:34

Codex Tutorial: Build Your First AI Agent Delegation Loop

Sat, 10 Oct 2026 11:07:09 GMT

Summary: A Codex tutorial for building your first personal AI agent delegation loop. How to set it up, what to hand it, and how to keep work moving without babysitting every step. My Ultimate Codex Guide: https://natesnewsletter.substack.com/p/codex-guide-no-code?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true ✅ Catch up on a year of AI in one Codex weekend. You're not behind on facts. You're behind on setup. That's a much better problem. ✅ Run Codex with almost no code. Every step is a.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Codex makes the computer feel different
03:07 — The token dashboard as a work receipt
04:45 — The unit of work gets bigger
06:37 — A new computing paradigm
08:12 — Chief of staff threads
09:44 — Threads, goals, and subagents
10:53 — Computer use, plugins, and skills
12:04 — A heads-up dashboard for work
16:08 — The first useful Codex loop
17:09 — Boundaries, receipts, and responsible delegation
18:34 — The new computer literacy

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260612
Added: Sat, 10 Oct 2026 11:07:09 GMT
Duration: 19:36

The End of Unrestricted AI: Why Claude Fable 5 Was Just Forced Offline

Sat, 10 Oct 2026 11:06:43 GMT

Summary: My Links 🔗 Newsletter: https://natesnewsletter.substack.com/ 👉🏻 X: https://x.com/natebjones 👉🏻 TikTok: https://www.tiktok.com/@nate.b.jones 👉🏻 Instagram: https://www.instagram.com/nate.b.jones The US government just forced Anthropic to take its most advanced AI models offline, and I filmed this from a plane because it's that unprecedented. The order moved to block foreign access to Fable 5 and Mythos 5, and it's broad enough, covering foreign nationals even inside the US, that the practical way.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Government intervention
01:03 — Safety and regulatory review
03:06 — The foreign national impact
04:49 — Negotiated access future
06:25 — New era for AI deployment
07:55 — Adapting to model volatility

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260613
Added: Sat, 10 Oct 2026 11:06:43 GMT
Duration: 10:03

OpenAI Just Filed For Its IPO. The Real Story Isn't The Trillion Dollars.

Sat, 10 Oct 2026 09:04:30 GMT

Summary: The Full Deep Dive: https://natesnewsletter.substack.com/p/openai-ipo-own-the-harness?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true My Links 🔗 👉🏻 Newsletter: https://natesnewsletter.substack.com/ 👉🏻 X: https://x.com/natebjones 👉🏻 TikTok: https://www.tiktok.com/@nate.b.jones 👉🏻 Instagram: https://www.instagram.com/nate.b.jones What's really happening inside the OpenAI and Anthropic IPOs? The common story is that public markets are about to price which lab has the better AI mod.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — The trillion-dollar question is the wrong start
00:43 — The real bet, and what a harness is
01:28 — Why API price is not internal cost
02:36 — The $200 plan as subsidy and strategy
03:25 — Cheap tokens push value to the harness
04:49 — Labs have models, companies have context
05:35 — Forward deployed engineering and the real lock-in
06:32 — Renting the harness versus owning it
07:15 — Recursive self-improvement as iteration speed
08:01 — The bull case and the bear case
09:13 — What to watch when the S1s drop
09:54 — Build the harness, not the prompt

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260614
Added: Sat, 10 Oct 2026 09:04:30 GMT
Duration: 11:49

Your $20 AI Plan Costs Them Thousands. That's Not The Bubble.

Sat, 10 Oct 2026 09:04:10 GMT

Summary: My Links 🔗 Newsletter: https://natesnewsletter.substack.com/ 👉🏻 X: https://x.com/natebjones 👉🏻 TikTok: https://www.tiktok.com/@nate.b.jones 👉🏻 Instagram: https://www.instagram.com/nate.b.jones What's really happening inside the AI bubble? The common story is that the correction proves the whole AI trade was overhyped — but the reality is more complicated, and the distinction is where the money is. In this video, I share the inside scoop on what the AI stock correction actually means: - Why a sto.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — AI stocks correct and the bubble question returns
00:50 — A correction doesn't mean the demand is fake
01:33 — Financial froth vs. the physical supply chain
03:05 — Real revenue: OpenAI, Anthropic, and NVIDIA
05:30 — Where the bears are right: spending vs. revenue
06:45 — Railroads, fiber, dot-com: real build-outs, ruined investors
08:06 — Why inference is the part everyone underexplains
10:05 — The question of 2026: are expensive tokens worth it
11:53 — The better model: buildout vs. payback
13:34 — The questions to actually ask about any AI company
15:30 — Narrative, correction, sorting: the three phases
17:47 — AI is a marathon, not a sprint

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260615
Added: Sat, 10 Oct 2026 09:04:10 GMT
Duration: 19:24

How To Build AI Agents: Don't Build Another One Until You Watch This

Sat, 10 Oct 2026 09:03:41 GMT

Summary: How to build AI agents, starting with the part most people skip. Before you build another agent, this covers what has to be true first and why most agent projects stall. Full post with Agent Maintenance Guide: https://natesnewsletter.substack.com/p/ai-agent-maintenance?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true OpenAI and Anthropic aren't the only ones who figured this out: Vercel made its AI agent better by deleting most of its tools. The real skill in 2026 is not buildin.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Vercel made its agent better by deleting 80% of its tools
04:34 — The model changes inside, the world changes around the agent
10:18 — The art of a good harness and the two teams building them
13:30 — Your harness is the setup that makes a model useful
18:03 — Why you should read The Maintenance of Everything

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260617
Added: Sat, 10 Oct 2026 09:03:41 GMT
Duration: 18:25

Claude Skills vs MCP vs Prompts: The Difference Everyone Gets Wrong

Sat, 10 Oct 2026 09:03:16 GMT

Summary: Claude Skills vs MCP vs prompts: three different things that keep getting treated as one. What each is actually for, and the mistake almost everyone makes choosing between them. Full post w/ The Complete Open Skills Guide: https://natesnewsletter.substack.com/p/claude-codex-agent-skills?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true My Links 🔗 👉🏻 Newsletter: https://natesnewsletter.substack.com/ 👉🏻 X: https://x.com/natebjones 👉🏻 TikTok: https://www.tiktok.com/@nate.b.jones 👉🏻.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — The memory problem Open Brain solved
00:44 — The second problem: your agent doesn't know how you work
01:39 — Four places procedural debt shows up
02:51 — What Open Skills is, launching today
03:04 — When Cursor and Claude Code rules don't travel
05:36 — What a skill actually is
06:00 — Prompt vs skill: search, voice, and browser QA
08:46 — Skills as primitives, runbooks as composition
11:09 — Verification: don't call it done without proof
11:58 — The flywheel: turning sessions into reusable skills
12:53 — Open Brain plus Open Skills together
15:27 — The decision rule and the launch

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260619
Added: Sat, 10 Oct 2026 09:03:16 GMT
Duration: 17:45

You Can't Tell If I'm Real Anymore. And That's Now YouTube's Problem Too.

Sat, 10 Oct 2026 09:02:52 GMT

Summary: Newsletter: https://natesnewsletter.substack.com/ AI voice cloning is already good enough to fool a half-watching audience. The harder problem is that people can no longer tell what was human, what was synthetic, and who is accountable for the final result. My Links: 👉🏻 X: https://x.com/natebjones 👉🏻 TikTok: https://www.tiktok.com/@nate.b.jones 👉🏻 Instagram: https://www.instagram.com/nate.b.jones What's really happening inside the question "was this made with AI?" The common story says AI conten.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Someone could clone my voice today
01:02 — The disclosed voice clone
01:35 — Why voice cloning already passes
01:59 — Why full human presence is still hard
02:27 — The real danger is good-enough AI
03:09 — The uncanny valley got relational
03:41 — Made with AI is really five questions
04:40 — The creator trust stack
05:47 — There is no never use AI rule
06:10 — When humans get accused of being AI
07:09 — What creators and companies should do
08:10 — Trust is the scarce asset

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260620
Added: Sat, 10 Oct 2026 09:02:52 GMT
Duration: 9:21

You Can't Run AI Agents Without This

Sat, 10 Oct 2026 09:02:36 GMT

Summary: Full briefing w/ Agent Owner Card: https://natesnewsletter.substack.com/p/ai-agent-ownership?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true AI agent ownership is the skill most teams skip in 2026. Once an agent reads real files and does real work, somebody has to own it, and most people cannot say who. My Links 🔗 👉🏻 Newsletter: https://natesnewsletter.substack.com/ 👉🏻 X: https://x.com/natebjones 👉🏻 TikTok: https://www.tiktok.com/@nate.b.jones 👉🏻 Instagram: https://www.instagra.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — What counts as an agent
01:35 — From assistant to agent
04:15 — Job, diet, boundaries, review loop
07:10 — Product team story-prep example
10:10 — The agent roster and owner card
12:55 — Maintenance is the 2026 skill

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260621
Added: Sat, 10 Oct 2026 09:02:36 GMT
Duration: 14:20

Google Lost $2.7 Billion In Talent This Week. The Real Reason Isn't Money.

Sat, 10 Oct 2026 09:02:15 GMT

Summary: OpenAI vs Anthropic: OpenAI looks like it won the week — the Shazeer hire, the 5.6 rumors, the Fable headlines. But talent movement and pre-training cadence suggest Anthropic may actually be ahead, and the biggest AI story may be happening at neither lab. My Links 🔗 👉🏻 Newsletter: https://natesnewsletter.substack.com/ 👉🏻 X: https://x.com/natebjones 👉🏻 TikTok: https://www.tiktok.com/@nate.b.jones 👉🏻 Instagram: https://www.instagram.com/nate.b.jones What's really happening inside the OpenAI versus.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Anthropic has had the better month than OpenAI
00:31 — Why OpenAI looks like it won the week
07:53 — Is OpenAI ahead, or is Anthropic ahead?

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260622
Added: Sat, 10 Oct 2026 09:02:15 GMT
Duration: 8:22

The Doing Got Cheap. Now What? | Claude Fable 5 Changes Work

Sat, 10 Oct 2026 09:01:59 GMT

Summary: Full post w/ Work Spec + Benchmarks: https://natesnewsletter.substack.com/p/claude-fable-5-how-to-use?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true Claude Fable 5 is the biggest model in the world, and the real story isn't the benchmarks. It's that the bottleneck just moved from what the model can do to what you can imagine handing it. My Links 🔗 👉🏻 Newsletter: https://natesnewsletter.substack.com/ 👉🏻 X: https://x.com/natebjones 👉🏻 TikTok: https://www.tiktok.com/@nate.b.jones.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Cold open
01:00 — Bigger, not just smarter
02:00 — What a bigger model feels like
06:29 — Task imagination, the new core skill
12:10 — AI, jobs, and model managers

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260623
Added: Sat, 10 Oct 2026 09:01:59 GMT
Duration: 18:11

AI Prompt Engineering: I Stopped Prompting One Task At A Time

Sat, 10 Oct 2026 09:01:32 GMT

Summary: AI prompt engineering past the one-task-at-a-time habit. Why prompting a single task at a time caps what you get, and the approach I moved to instead. A loop is a recurring job that remembers, notices what changed, and stops where your judgment matters. Full post w/ Questionnaire: https://natesnewsletter.substack.com/p/ai-loop-managers?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true My Links 🔗 👉🏻 Newsletter: https://natesnewsletter.substack.com/ 👉🏻 X: https://x.com/natebjones 👉.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Why a week feels heavier than it should
01:31 — Prompt vs loop vs loop of loops
02:17 — Agents are loop managers
03:03 — A loop of loops handles the school trip
04:06 — Why apps left the hard part to you
05:04 — Spotting the loops in your own life
06:33 — Starting simple with sales and research loops
08:57 — The boring loops: kids clothes and spinach
10:39 — This is not about never asking
11:35 — The questions that define a good loop
12:40 — Loops of loops as a control pattern
13:49 — The Friday build and a safe first project

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260624
Added: Sat, 10 Oct 2026 09:01:32 GMT
Duration: 15:38

I Was The Only Thing Connecting Claude, ChatGPT, and Codex. So I Built My Replacement.

Sat, 10 Oct 2026 09:01:08 GMT

Summary: How to Guide - Build Your Open Engine: https://natesnewsletter.substack.com/p/ai-agent-handoffs?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true Your AI agents don't talk to each other, so you have become the human glue moving work between Claude, Codex, and ChatGPT. Open Engine is a shared task queue that lets your agents hand off work, carry the sources, and leave a receipt, without you stuck in the middle. My Links 🔗 👉🏻 Newsletter: https://natesnewsletter.substack.com/ 👉🏻 X:.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — How to make your AI agents work as one system
01:06 — A friend juggling five AI tools
04:48 — Agents are loop managers and you are the hallway
06:32 — The fix is a shared queue both people and agents read
08:45 — The five components of the Open Engine guide
10:24 — The bottleneck is the boundary between agents
12:59 — Demo: the Open Engine loop in Linear
14:13 — Delegating a task across two different agents
16:20 — Prompt mode versus work mode
19:30 — The test: can the work leave your chat
20:33 — Get the full guide and join the community

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260626
Added: Sat, 10 Oct 2026 09:01:08 GMT
Duration: 22:04

GLM 5.2 Is Free And Beats Claude On Most Work. So Why Can't Companies Switch?

Sat, 10 Oct 2026 09:00:32 GMT

Summary: Full post: https://natesnewsletter.substack.com/p/glm-5-2-context-lock-in?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true GLM 5.2 is a free, open-source model that often beats Claude on everyday work, yet companies still pay frontier prices. The real bottleneck is no longer the model call. It is the last mile around it: context, routing, and harnesses. My Links 🔗 👉🏻 Newsletter: https://natesnewsletter.substack.com/ 👉🏻 X: https://x.com/natebjones 👉🏻 TikTok: https://www.tiktok.co.

Key takeaways: The source description identifies the episode topic; listen for the complete discussion and examples.

Chapters:
00:00 — Why GLM 5.2 blew my mind on everyday work
02:22 — Cheap AI is here and frontier releases are slowing
03:41 — Why companies still aren't switching to open models
04:11 — Center of distribution vs edge of distribution tasks
04:53 — Lindy rebuilt its whole harness to leave Claude
06:39 — A model is a brain in a jar without a harness
07:23 — Claude Tag and the rise of team-level harnesses
08:47 — Why you can't rip out a model that owns your context
10:36 — The harness talent shortage is a builder's opening
14:50 — Take the last mile seriously before you rent your brain

Transcript: Transcript/captions were unavailable during processing; no transcript text is included.

Source: Original YouTube video
Channel: AI News & Strategy Daily | Nate B Jones — channel page
Original YouTube publication date: 20260628
Added: Sat, 10 Oct 2026 09:00:32 GMT
Duration: 17:35

Rationalism From the Outside

Sat, 10 Oct 2026 02:31:02 GMT

Summary: A three-voice outsider's guide to the rationalist community—LessWrong, the Sequences, AI risk, and criticisms. This is a redo of the HPMOR episode, focused on the worldview rather than the plot.

Source: Original audio submitted by Denny.

Added: Sat, 10 Oct 2026 02:31:02 GMT
Duration: 15:38

Claude Sonnet 5 just dropped. I'm changing how I use AI...

Alex Finn — Sat, 10 Oct 2026 00:52:42 GMT

A complete walkthrough of the new Claude Sonnet 5 release FULL Claude Code bootcamp in the Vibe Coding Academy coming up: https://www.skool.com/vibe-coding-academy 2nd Youtube Channel: https://youtube.com/@AlexFinnLabsOfficial Sign up for my free newsletter: https://www.alexfinn.ai/subscribe Follow my X: https://x.com/AlexFinn Henry Intelligent Machines (my new startup): https://meethenry.ai My $300k/yr AI app: https://www.creatorbuddy.io/ Timestamps: 0:00 Intro 0:41 What Sonnet 5 is 3:41 Performance test 6:25 Sonnet 5 best practices 10:15 Fable 5

It's never been more important to learn about local AI (full guide)

Alex Finn — Sat, 10 Oct 2026 00:52:42 GMT

You NEED to be learning about local AI. Here is your masterclass 2nd Youtube Channel: https://youtube.com/@AlexFinnLabsOfficial FULL Hermes Agent bootcamp in the Vibe Coding Academy coming up: https://www.skool.com/vibe-coding-academy Sign up for my free newsletter: https://www.alexfinn.ai/subscribe Follow my X: https://x.com/AlexFinn Henry Intelligent Machines (my new startup): https://meethenry.ai My $300k/yr AI app: https://www.creatorbuddy.io/ Desktop app: https://hermes-agent.nousresearch.com/desktop Timestamps: 0:00 Intro 1:11 My home AI lab 1:44 Why you need to learn about this 5:22 What is local AI 6:90 Advantages to local AI 8:49 Hardware you need 12:29 Software you need 14:01 U

ChatGPT 5.6 has been announced. I’m done…

Alex Finn — Sat, 10 Oct 2026 00:52:42 GMT

ChatGPT 5.6 was just announced. Here is why this is bad. 2nd Youtube Channel: https://youtube.com/@AlexFinnLabsOfficial FULL Hermes Agent bootcamp in the Vibe Coding Academy coming up: https://www.skool.com/vibe-coding-academy Sign up for my free newsletter: https://www.alexfinn.ai/subscribe Follow my X: https://x.com/AlexFinn Henry Intelligent Machines (my new startup): https://meethenry.ai My $300k/yr AI app: https://www.creatorbuddy.io/

The new Hermes Agent update has me speechless....

Alex Finn — Sat, 10 Oct 2026 00:52:42 GMT

Hermes agent's new update is amazing. Here's a full walkthrough 2nd Youtube Channel: https://youtube.com/@AlexFinnLabsOfficial FULL Hermes Agent bootcamp in the Vibe Coding Academy coming up: https://www.skool.com/vibe-coding-academy Sign up for my free newsletter: https://www.alexfinn.ai/subscribe Follow my X: https://x.com/AlexFinn Henry Intelligent Machines (my new startup): https://meethenry.ai My $300k/yr AI app: https://www.creatorbuddy.io/ Desktop app: https://hermes-agent.nousresearch.com/desktop Timestamps: 0:00 Intro 0:26 Native iMessage 2:51 Background agents 5:12 Unreal MCP 6:23 New Desktop App 7:56 Profile builder 9:42 Skills Hub 10:50 Smarter self improvement 12:02 Telegram

How to get unlimited AI for free (GLM 5.2 local)

Alex Finn — Sat, 10 Oct 2026 00:52:42 GMT

GLM 5.2 is incredible and crushes Opus. Here is how it works and how I am running it locally and more information on local models FULL GLM 5.2 bootcamp in the Vibe Coding Academy coming up: https://www.skool.com/vibe-coding-academy 2nd Youtube Channel: https://youtube.com/@AlexFinnLabsOfficial Sign up for my free newsletter: https://www.alexfinn.ai/subscribe Follow my X: https://x.com/AlexFinn Henry Intelligent Machines (my new startup): https://meethenry.ai My $300k/yr AI app: https://www.creatorbuddy.io/ Timestamps: 0:00 Intro 1:18 Demo of GLM 2:25 What makes GLM special 4:14 Computer you need 5:45 The upsides of running GLM locally 6:42 The downsides 7:33 What are local models 10:53 Wh

CLAUDE FABLE 5 BANNED. IT ACTUALLY HAPPENED...

Alex Finn — Sat, 10 Oct 2026 00:52:42 GMT

Claude Fable 5 (Mythos) BANNED across the world FULL Claude Opus 4.8 bootcamp in the Vibe Coding Academy coming up: https://www.skool.com/vibe-coding-academy 2nd Youtube Channel: https://youtube.com/@AlexFinnLabsOfficial Sign up for my free newsletter: https://www.alexfinn.ai/subscribe Follow my X: https://x.com/AlexFinn Henry Intelligent Machines (my new startup): https://meethenry.ai My $300k/yr AI app: https://www.creatorbuddy.io/

Claude Fable 5 just dropped and I'm speechless...

Alex Finn — Sat, 10 Oct 2026 00:52:42 GMT

Claude Fable 5 (Mythos) full tutorial and walkthrough 2nd Youtube Channel: https://youtube.com/@AlexFinnLabsOfficial FULL Claude Fable 5 bootcamp in the Vibe Coding Academy coming up: https://www.skool.com/vibe-coding-academy Sign up for my free newsletter: https://www.alexfinn.ai/subscribe Follow my X: https://x.com/AlexFinn Henry Intelligent Machines (my new startup): https://meethenry.ai My $300k/yr AI app: https://www.creatorbuddy.io/ I want to build a personal productivity tool. I want it to incluide todo list, kanban board, calendar, comprehensive note taking app, pomodoro timer, and even a little game i can play to take a break. before building anything, please ask me any question

Hermes Agent just WON (Hermes desktop app)

Alex Finn — Sat, 10 Oct 2026 00:52:42 GMT

Hermes agent desktop app is incredible. Here's a full walkthrough 2nd Youtube Channel: https://youtube.com/@AlexFinnLabsOfficial FULL Hermes Agent bootcamp in the Vibe Coding Academy coming up: https://www.skool.com/vibe-coding-academy Sign up for my free newsletter: https://www.alexfinn.ai/subscribe Follow my X: https://x.com/AlexFinn Henry Intelligent Machines (my new startup): https://meethenry.ai My $300k/yr AI app: https://www.creatorbuddy.io/ Desktop app: https://hermes-agent.nousresearch.com/desktop

Claude Opus 4.8 actually blew my mind...

Alex Finn — Sat, 10 Oct 2026 00:52:42 GMT

Claude Opus 4.8 full tutorial and walkthrough 2nd Youtube Channel: https://youtube.com/@AlexFinnLabsOfficial FULL Claude Opus 4.8 bootcamp in the Vibe Coding Academy coming up: https://www.skool.com/vibe-coding-academy Sign up for my free newsletter: https://www.alexfinn.ai/subscribe Follow my X: https://x.com/AlexFinn Henry Intelligent Machines (my new startup): https://meethenry.ai My $300k/yr AI app: https://www.creatorbuddy.io/ Timestamps: 0:00 Intro 0:27 The changes 5:28 Recommendations 8:36 Product walkthrough

Hermes Agent is the greatest AI tool ever made. Here's how to set it up

Alex Finn — Sat, 10 Oct 2026 00:52:42 GMT

Hermes Agent is the best AI tool out there. Here is your COMPLETE tutorial. FULL Hermes Agent bootcamp in the Vibe Coding Academy coming up: https://www.skool.com/vibe-coding-academy 2nd Youtube Channel: https://youtube.com/@AlexFinnLabsOfficial Sign up for my free newsletter: https://www.alexfinn.ai/subscribe Follow my X: https://x.com/AlexFinn Henry Intelligent Machines (my new startup): https://meethenry.ai My $300k/yr AI app: https://www.creatorbuddy.io/ Prompts: I want you to schedule a task for yourself to do every single night at 2am. It should be a micro app, UI, or system that helps us get closer to my personal goals and ambitions. It should save us time, make us more productive

6 Hermes Agent use cases I promise will change your life

Alex Finn — Sat, 10 Oct 2026 00:52:42 GMT

Download the AI Agents Cheat Sheet! https://clickhubspot.com/9b67c7 Here are 6 new Hermes Agent use cases that makes it SO much more powerful 2nd Youtube Channel: https://youtube.com/@AlexFinnLabsOfficial FULL Hermes Agent bootcamp in the Vibe Coding Academy coming up: https://www.skool.com/vibe-coding-academy Sign up for my free newsletter: https://www.alexfinn.ai/subscribe Follow my X: https://x.com/AlexFinn Henry Intelligent Machines (my new startup): https://meethenry.ai My $300k/yr AI app: https://www.creatorbuddy.io/ Prompts: I want to build a memory wiki. This should be a site I can visit that has a list of all the subjects we've talked about and daily logs of what we've done tog

Hermes just got 10x better...

Alex Finn — Sat, 10 Oct 2026 00:52:42 GMT

Here are 8 new Hermes Agent features that makes it SO much more powerful 2nd Youtube Channel: https://youtube.com/@AlexFinnLabsOfficial FULL Hermes Agent bootcamp in the Vibe Coding Academy coming up: https://www.skool.com/vibe-coding-academy Sign up for my free newsletter: https://www.alexfinn.ai/subscribe Follow my X: https://x.com/AlexFinn Henry Intelligent Machines (my new startup): https://meethenry.ai My $300k/yr AI app: https://www.creatorbuddy.io/ Timestamps: 0:00 Intro 0:29 Way better memory 2:20 Background tasks 4:09 Grok Oauth and tweets 5:23 Native coding 7:00 Computer use 9:03 Native AI videos 10:43 Auto kanban tasks

Claude Code is 1000x better when you use this tool

Alex Finn — Sat, 10 Oct 2026 00:52:42 GMT

Here is the one tool you need to make Claude Code so much more powerful. You are going to love this workflow 2nd Youtube Channel: https://youtube.com/@AlexFinnLabsOfficial FULL Claude Code bootcamp in the Vibe Coding Academy coming up: https://www.skool.com/vibe-coding-academy Sign up for my free newsletter: https://www.alexfinn.ai/subscribe Follow my X: https://x.com/AlexFinn Henry Intelligent Machines (my new startup): https://meethenry.ai My $300k/yr AI app: https://www.creatorbuddy.io/ Prompt: I want to build out a prompt library app. this should be a nextJS app that allows us to save prompts into a library and access them again whenever we want. we should be able to save them into fo

Hermes Agent powered by local models on the DGX Spark is basically magic

Alex Finn — Sat, 10 Oct 2026 00:52:42 GMT

Here is how to set up Hermes Agent on local models using the DGX Spark. Thank you NVIDIA for sponsoring this video! Learn more about NVIDIA DGX Spark: https://nvda.ws/4tNT1fn 2nd Youtube Channel: https://youtube.com/@AlexFinnLabsOfficial FULL Hermes bootcamp in the Vibe Coding Academy coming up: https://www.skool.com/vibe-coding-academy Sign up for my free newsletter: https://www.alexfinn.ai/subscribe Follow my X: https://x.com/AlexFinn Henry Intelligent Machines (my new startup): https://meethenry.ai My $300k/yr AI app: https://www.creatorbuddy.io/ Prompt: I just installed Qwen 3.6 27b on our DGX Spark. Please set up a new Hermes profile that is plugged into that local model and name it

Hermes Agent is blowing me away...

Alex Finn — Sat, 10 Oct 2026 00:52:42 GMT

Hermes Agent is the best AI agent out there. Even better than OpenClaw. Here's how to get the most out of it 2nd Youtube Channel: https://youtube.com/@AlexFinnLabsOfficial FULL Hermes bootcamp in the Vibe Coding Academy coming up: https://www.skool.com/vibe-coding-academy Sign up for my free newsletter: https://www.alexfinn.ai/subscribe Follow my X: https://x.com/AlexFinn Henry Intelligent Machines (my new startup): https://meethenry.ai My $300k/yr AI app: https://www.creatorbuddy.io/ Prompts: beginner: every morning tell me the lastest AI news with an emphasis on new AI tools I’ve never used (recommend a new AI tool I need to use based on my workflows) intermediate: I want a proactive

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