AI with Kyle - Daily AI News and Updates

Kyle Balmer
  • 5.0 (1)
  • 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. 12 hr ago

    Claude Watermark FAQ: Answering 659 Comments

    My first Claude watermark video passed 28,000 views and 659 comments. This follow-up answers the biggest questions: ownership, copy/paste, Notepad, OCR, retyping, rewriting with another AI, editing your own writing, code quality, and why the EU rule has global reach. Anthropic still has not released the detector or full technical documentation, so I separate what is confirmed from what remains unknown—and look at the comments that found real weaknesses in the plan. 00:00 659 comments later 01:13 Anthropic doesn't own your work 04:48 The watermark removal hacks 09:21 Authorship vs. processing 16:49 The fair concerns Get AI-ready with Kyle's 5-Day Challenge: https://aiwithkyle.com/join Subscribe for practical AI news without the hype: https://www.youtube.com/channel/UChlLglbHDASnoGkbjDeHnQg Useful sources: - Anthropic transparency commitments: https://www.anthropic.com/transparency - EU AI Act: https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai - Google SynthID: https://deepmind.google/models/synthid/ - C2PA specification: https://c2pa.org/specifications/specifications/2.2/specs/C2PA_Specification.html

  2. 2 days ago

    Claude Is Hiding Watermarks in Your AI Text (What It Actually Means)

    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 Anthropic says new Claude models launched in the EU must support machine-readable marking. That means embedded watermarks for generated text and signed provenance metadata for supported files...but the viral claim that every Claude response is already publicly detectable is too broad. There's a lot of bad info going around. I break down what Anthropic has actually committed to, how text watermarking differs from C2PA metadata, why a detected mark does not prove Claude authored the work, and why no mark does not prove a human wrote it. The technical documentation and public detection tools are still coming, so anyone claiming certainty about the exact implementation is getting ahead of the evidence. —— Time Stamps —— 0:00 Claude's Hidden Watermarks 1:15 What Anthropic Actually Said 2:15 What the EU Rule Requires 3:30 Text Watermarks vs File Metadata 4:56 How C2PA Provenance Works 6:34 Why Copy-Paste May Not Remove It 8:10 How Text Watermark Detection Works 10:18 Why Detection Can Be Wrong 12:41 No Mark Does Not Mean Human 14:10 The Detector Is Not Ready 15:07 Can Watermarks Be Removed? 16:57 Claude Is Not the Only AI Affected 19:07 What This Actually Means —— Useful Resources —— Anthropic's transparency commitments: https://www.anthropic.com/transparency EU AI Act information: https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai C2PA specification: https://c2pa.org/specifications/specifications/2.2/specs/C2PA_Specification.html Find everything else at https://aiwithkyle.com/

  3. 3 days ago

    EU AI Act 2026: What It Means for You

    The EU AI Act's Article 50 transparency rules are now live. If you use chatbots, AI-generated images, video, audio or public-interest text, here's what the new rules mean, who is responsible and where fines may apply. In this video: 00:00 The EU AI Act rules that just went live 02:15 Provider vs deployer 07:30 The deepfake test 12:40 What counts as human review 19:41 Your practical compliance checklist You'll learn: - What chatbots must disclose - When AI-generated content needs machine-readable marking - When deepfakes and public-interest text need clear labels - The difference between a provider and a deployer - When human review or editorial control matters - How the rules can apply outside the EU - Why penalties can reach €15 million or 3% of worldwide annual turnover Official sources: European Commission transparency quick facts: https://digital-strategy.ec.europa.eu/en/factpages/quick-facts-transparency-rules-ai-systems EU AI Act Article 50: https://ai-act-service-desk.ec.europa.eu/en/ai-act/article-50 This video provides practical information, not legal advice. Subscribe for practical AI news, tools and workflows without the hype. #EUAIAct #ArtificialIntelligence #AIRegulation

  4. 7 Aug

    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/

  5. 5 Aug

    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/

  6. 3 Aug

    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

  7. 1 Aug

    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

  8. 31 Jul

    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

See All (100)

About

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...

Information

You Might Also Like