AI with Kyle - Daily AI News and Updates

Kyle Balmer
  • 5.0 (3)
  • Entrepreneurship
  • Updated Daily

AI With Kyle - Daily AI News With Zero Hype, Zero BS AI With Kyle is the daily podcast for people who want to understand artificial intelligence without hype...

  1. 2d ago

    Google DeepMind Shake-Up: Demis Hassabis Steps Down, Jeff Dean Leaves

    Get AI-Ready with Kyle's 5-Day Challenge: https://aiwithkyle.com/join Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Demis Hassabis has stepped away from running Google DeepMind day to day. He is now Chair of Google DeepMind and Chief Scientist of Alphabet, while Koray Kavukcuoglu takes responsibility for models, research and products. At the same time, Jeff Dean has left Google after 27 years to start Discovery Loop with Sanjay Ghemawat, Oriol Vinyals and Quoc Le. I break down what actually changed, how DeepMind got here, the bear case for Google losing key people and the bull case for Google still owning the strongest AI stack. —— Time Stamps —— 0:00 Demis Hassabis Steps Down 1:09 Jeff Dean Leaves Google 2:57 How DeepMind Got Here 4:13 Demis Before DeepMind 5:03 AlphaGo and Move 37 6:55 AlphaFold and the Nobel Prize 7:05 Why Google Changed the Structure 8:26 The Bear Case 10:09 Google's Full-Stack Advantage 14:25 Google's AI Product Problem 16:35 What This Means for Google AI 17:20 Final Takeaway —— Useful Resources —— Google's official announcement: https://blog.google/company-news/inside-google/message-ceo/next-chapter-ai-momentum/ Demis Hassabis's statement: https://x.com/demishassabis/status/2085034334914769203 Jeff Dean's Discovery Loop announcement: https://x.com/JeffDean/status/2085034604172603724 Google DeepMind's history: https://deepmind.google/about/ AlphaGo: https://deepmind.google/research/alphago/ AlphaFold: https://deepmind.google/science/alphafold/ Find everything else at https://aiwithkyle.com/

  2. 4d ago

    AI Agents Are Already Hacking Real Companies

    Get AI-Ready with Kyle's 5-Day Challenge: https://aiwithkyle.com/join Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg AI agents have now hacked real companies. OpenAI, Anthropic and the UK AI Security Institute have each documented systems taking unsanctioned actions outside controlled tests. I break down what actually happened and strip away the Terminator hype. The useful mental model is closer to the paperclip problem: capable systems pursuing an objective with too much access and too few boundaries. I cover the practical controls you need before giving AI agents access to browsers, terminals, company data and real credentials. —— Time Stamps —— 0:00 AI Agents Hacked Real Companies 1:40 The Three Documented Incidents 1:44 OpenAI and the Hugging Face Incident 3:00 Anthropic Finds Three Real-World Breaches 4:05 The UK AI Security Institute Incident 6:02 Why the Agents Kept Going 8:12 Terminator Is the Wrong Mental Model 9:07 The Paperclip Problem 11:15 Why This Is Happening Now 13:25 What This Means for Your Business 14:24 Six Boundaries for Safer AI Agents 15:50 What These Incidents Do — and Don’t — Prove 16:21 The Practical Takeaway — Useful Resources —— OpenAI incident report: https://openai.com/index/hugging-face-model-evaluation-security-incident/ Anthropic incident report: https://www.anthropic.com/news/investigating-incidents-cybersecurity-evals UK AI Security Institute incident report: https://www.aisi.gov.uk/blog/incident-report-unsanctioned-agent-behaviour-during-cyber-testing ExploitGym paper: https://arxiv.org/abs/2605.11086 Find everything else at https://aiwithkyle.com/

  3. 6d ago

    ChatGPT Astra Solved 10 Unsolved Maths Problems?

    Can ChatGPT really solve unsolved maths? OpenAI says Astra, its unreleased next major model family, generated ten substantial new results across mathematics and theoretical computer science. Astra is not the version of ChatGPT you can use today, but OpenAI has published a 249-page paper collection, discovery notes and Lean certificates for independent inspection. In this video I break down what OpenAI actually released, why "ten solved problems" needs qualification, what the roughly $2,000 inference claim does and does not mean, how Lean verification works, and why AI can make progress on advanced maths while still failing apparently simple tasks. Get AI with Kyle's daily AI newsletter: https://aiwithkyle.com/join Chapters: 00:00 What ChatGPT Astra claims 00:53 What OpenAI actually released 02:01 Evidence vs marketing 02:25 Advances vs solved problems 04:00 What the $2,000 claim really means 05:55 Why maths, but not strawberry? 07:58 The jagged frontier 09:08 Can we trust the proofs? 11:52 AI is already escaping the lab 13:50 Is AI actually creative? 15:54 The bottleneck has moved 17:26 Scientists become directors 18:27 My verdict on ChatGPT Astra Sources: OpenAI - Ten advances in mathematics and theoretical computer science https://openai.com/index/ten-advances-in-mathematics/ OpenAI - Ten Advances paper collection https://cdn.openai.com/pdf/ten-proofs-oai.pdf OpenAI - Mathematical discovery notes https://cdn.openai.com/pdf/reasoning-walkthroughs.pdf OpenAI - Public Lean certificates https://github.com/openai/ten-proofs Noam Brown - Astra launch post https://x.com/polynoamial/status/2083467194663571701 Counting Ability of Large Language Models and Impact of Tokenization https://arxiv.org/abs/2410.19730 Navigating the Jagged Technological Frontier https://pubsonline.informs.org/doi/10.1287/orsc.2025.21838

  4. Aug 1

    AI Skills 101: How to Build and Use Skills in ChatGPT

    Get the free AI Skills 101 guide: https://aiwithkyle.com/mini/ai-skills?utm_source=youtube&utm_medium=organic_video&utm_campaign=mini_ai_skills&utm_content=ai_skills_101 Get AI-Ready with Kyle's 5-Day Challenge: https://aiwithkyle.com/join Subscribe and turn on notifications: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Summary: AI Skills are reusable instruction packages that teach an AI how you want a repeatable job done. Instead of explaining the same quarterly report, client update or content workflow every time, you can package the method into a Skill and let the AI load it when that job comes up. In this video I explain what Skills are, what lives inside a SKILL.md file, where Skills can live, how the AI chooses one and how to build your first Skill without coding. I also show why small, bounded Skills work better than one giant "run my whole business" Skill, plus how to turn a successful chat into a reusable process and test it properly. —— Time Stamps —— 0:00 AI Skills 101 0:36 Stop Repeating the Same Work 1:24 Why Skills Matter in ChatGPT Now 2:06 How to Use a Skill in ChatGPT 3:14 What a Skill File Looks Like 4:56 References, Assets and Scripts 5:28 How Skills Get Chosen 7:02 Where Skills Can Live 7:57 Find and Install Existing Skills 9:21 What Makes a Good First Skill 10:48 Build a Skill by Talking to AI 12:04 Turn a Working Chat into a Skill 13:12 Test and Improve Your Skill 14:18 Why Skills Matter Now 14:38 Guide and Next Steps —— Useful Resources —— OpenAI - Build Skills: https://learn.chatgpt.com/docs/build-skills OpenAI Academy - Using Skills: https://openai.com/academy/skills/ Agent Skills specification: https://agentskills.io/specification Anthropic - Equipping agents for the real world with Agent Skills: https://www.anthropic.com/engineering/equipping-agents-for-the-real-world-with-agent-skills

  5. Jul 31

    MCP 101: A Simple Beginner’s Guide - MCP vs. API vs. CLI in AI.

    Get AI-Ready with Kyle's 5-Day Challenge: https://aiwithkyle.com/join Subscribe and turn on notifications: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg API, MCP, CLI and computer use are four ways AI systems can connect to software. This video explains what each one is, how they differ, when each route makes sense, and how tools such as Codex and Claude Code can set up those connections for you. ----- Time Stamps ----- 0:00 MCP, API, CLI and Computer Use 1:49 Four Ways AI Connects to Software 2:42 What Is an API? 4:52 What Is MCP? 7:45 What Is a CLI? 8:36 What Is Computer Use? 9:50 API vs MCP vs CLI vs Computer Use 10:33 Let AI Set Up the Connection 12:52 Security and Permissions 13:25 Which One Should You Use? ----- Useful Resources ----- AWS - What is an API? https://aws.amazon.com/what-is/api/ MCP is just a fancy API https://read.theaimerge.com/p/mcp-is-just-a-fancy-api CLI vs. MCP vs. API for Agents https://www.mindstudio.ai/blog/cli-vs-mcp-vs-api-ai-agents

  6. Jul 29

    Anthropic Destroyed Millions of Books. Here’s Why.

    Anthropic bought millions of physical books, cut off their bindings, scanned every page and discarded the paper originals. In this video I explain Project Panama, why old books are valuable AI training data, why the court accepted Anthropic's purchased-copy conversion as fair use, and why its separate pirated-book library led to a $1.5 billion settlement. This was not a verified campaign against priceless first editions, but the private digital library still raises serious questions about access, provenance and preservation. Join the AI with Kyle community: https://aiwithkyle.com/join Sources: Bartz v. Anthropic fair-use order https://storage.courtlistener.com/recap/gov.uscourts.cand.434709/gov.uscourts.cand.434709.231.0_4.pdf Associated Press: Anthropic's $1.5 billion settlement https://apnews.com/article/74b140444023898aeba8579b6e9f0d63 404 Media: Why AI companies are buying old books https://www.404media.co/ai-companies-are-buying-tons-of-old-books-because-theyre-free-of-ai-slop/ The Washington Post: Project Panama https://www.washingtonpost.com/technology/2026/01/27/anthropic-ai-scan-destroy-books/ NL Times: Rare-book dealers' concerns https://nltimes.nl/2026/06/25/rare-book-dealers-fear-tech-firms-destroying-obscure-editions-train-ai-models Chapters: 0:00 Anthropic Destroyed Millions of Books 2:12 Project Panama: Buy, Cut, Scan, Discard 3:56 Why AI Companies Want Old Books 6:19 Why Anthropic Destroyed the Books 8:44 What Kind of Books Were Destroyed 10:30 The Risk to Rare and Obscure Books 11:32 The New Market for Bulk Book Orders 13:06 Why People Are So Angry 13:45 Anthropic's Private Digital Library 15:07 What Should Change 16:21 Why Fahrenheit 451 Gets It Backwards

  7. Jul 27

    Everyone in AI Is Turning on Anthropic (Even Denny’s)

    AI with Kyle - Daily AI News and Updates

  8. Jul 22

    I Fired My Video Editor. This AI Pipeline Replaced Him.

    Stop asking AI to edit your video in one click. It doesn't work. Ignore the hype. Instead build the pipeline that actually works. Grab the fix kit (Free Guide): https://aiwithkyle.com/mini/ai-video-editor Get AI-Ready with Kyle's 5-Day Challenge: https://aiwithkyle.com/join Subscribe and turn on notifications to catch the next live stream: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg I built an AI video-editing pipeline that turns a messy livestream into a cut, checked and packaged YouTube draft. The video you're watching went through that system. I show the exact split between local tools and hosted models, why the one-click AI editor pitch is still nonsense, and how this replaced an editor who previously cost me about $1,000 a month. The practical shift is to stop treating video editing as one giant prompt. Editing is too complex for that! Instead break the task up into a number of steps: Transcribe locally with Whisper, use a capable model to create the edit decision list, make the cuts with FFmpeg, review a lightweight 720p draft, then render the approved edit in 4K and upload it privately. AI can handle the machinery; you still own the thesis, performance and final approval. —— Time Stamps —— 0:00 AI Video Editing: The Hype vs Reality 0:29 What the Pipeline Actually Does 1:58 The $1,000-a-Month Proof 2:17 Why “Edit This for Me” Still Fails 2:57 Transcript → EDL → Local Render 3:45 From Messy Livestream to Source Files 6:46 Codex Builds the Edit Decision List 7:33 FFmpeg, Remotion and Hyperframes 8:35 The QA Pass That Catches Bad Edits 9:00 Why Review Starts at 720p 9:26 4K Rendering, Uploads and Thumbnail Tests 9:43 The Human Checks You Still Need 10:54 Catching the Mistakes AI Misses 12:04 Why This Finally Works Now 13:08 Build the Pipeline, Not the Fantasy — Useful Resources —— Find everything else at https://aiwithkyle.com/

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AI With Kyle - Daily AI News With Zero Hype, Zero BS AI With Kyle is the daily podcast for people who want to understand artificial intelligence without hype...

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