Podcast
AI with Kyle
Hosted by Kyle Balmer · EN
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, without jargon, and without getting lost in marketing nonsense. Every day, Kyle breaks down the biggest AI news, model releases, research updates, leaks, lawsuits, policy moves, and industry shifts - fast, clear, and brutally honest.
If you're tired of exaggerated claims, clickbait headlines, or breathless “AGI tomorrow” predictions, this show gives you what actually matters in AI right now.
Every episode covers:
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Major AI model releases and upgrades (OpenAI, Google DeepMind, Anthropic, Meta, xAI, Mistral)
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Real benchmarks, real performance, and how new models actually behave
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The business story behind AI: funding rounds, strategy changes, earnings, and power plays
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Research explained plainly - world models, multimodality, reinforcement learning, generative video, synthetic data
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Practical impacts for creators, entrepreneurs, and businesses
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Regulation, AI safety, copyright cases, and everything changing the landscape
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Tech industry shifts happening under the surface
This show is perfect for:
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Founders and entrepreneurs
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Creators and educators
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Business leaders following AI strategy
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Anyone who wants signal, not noise
What you get here:
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Straight explanations
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Clear context
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No hype
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No fluffy futurism
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Just the important stuff
AI changes daily. This podcast helps you keep up - not by guessing about the future, but by understanding the present.
Subscribe if you want calm, honest, daily AI coverage you can actually trust.
40episodes
Episodes
Newest firstAll episodes
201: The Complete Guide to Building an AI Second Brain
3d ago00:12:48Tap to summarizeGet 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 Summary: Today I'm tackling the problem nearly everyone using AI seriously eventually hits: your tools don't talk to each other. ChatGPT on your phone has no idea what Claude Code did on your desktop, and Codex on your laptop is working blind to both. I walk through how to build a vendor agnostic AI vault, a shared brain made of simple markdown files that any tool can read, so your context stops getting lost between apps. I show you how to get an AI to interview you and build the entire folder structure for you, no technical setup required, and where GitHub and Obsidian actually fit into the picture (hint: Obsidian is for you, not the AI). If you've seen those gorgeous Obsidian graph diagrams floating around and felt like you were missing something, this clears it up. I explain why the vault, not Obsidian, is the actual brain, why GitHub is the smartest way to sync it across devices, and how to keep growing the system over time so it gets more useful the more you use it. Whether you're juggling client projects, personal life admin or a dozen half finished side builds, this gives every AI tool you use the same source of truth. —— Time Stamps —— 0:00 The Problem: Your AI Tools Don't Share Memory 0:36 The Obsidian Vault Hype, Explained Simply 1:30 Why Your AI Context Is Scattered in 2026 2:39 What Is a Markdown File? 4:17 How Obsidian Works and Why the Vault Matters More 5:33 Structuring Your Vault: Personal, Business, Projects 6:35 Let the AI Interview You to Build It 7:14 README, AGENTS.md and CLAUDE.md Explained 9:13 Use Claude Code or Codex: The Interview Prompt 10:02 Pro Tip: Use a Microphone and Just Talk 10:38 Make It a GitHub Repo for a Durable Vault 11:47 Recap: Obsidian Is Optional, Start Now 12:27 Wrap-Up and Free Newsletter — Useful Resources —— Find everything else at https://aiwithkyle.com/
Transcribe →200: Fable 5 BANNED: If You're Not American, Sorry.
1w ago00:31:48Tap to summarizeGet 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 Summary: The most advanced AI model ever released to the public, Anthropic's Fable 5, was pulled from shelves roughly 48 hours after launch. Not by Anthropic. By the US government, citing national security and export control concerns. The ban applies to all foreign nationals, meaning non-US citizens are locked out entirely. I went through the full timeline on the live: the jailbreak, the Amazon angle, David Sacks' government-side narrative, and why Dario Amodei arguably talked his own model into a ban by spending months telling everyone it was a weapon. The more interesting question though isn't whether we get Fable back. It's what this reveals about the structure underneath all of it. You don't own your AI access. It's rented land. A government or a boardroom decision and it's gone, sometimes with 90 minutes' notice. In this one I get into what that actually means practically: local models, open source alternatives, the geopolitical chess game between the US and China, and the one skill that matters regardless of which model you're using. —— Time Stamps —— 0:00 Fable & Mythos Banned: What Happened and Why It Matters 0:51 Background: Fable vs Mythos, Project Glasswing & the "Super Weapon" 2:58 Why People Fell in Love With Fable 5 (Expert Reactions) 7:10 The Ban Timeline: Launch, Backlash & the 90-Minute Export Order 9:52 What Triggered the Ban? Speculation & the Enforcement Problem 11:29 The David Sacks Narrative: The Government's Side of the Story 13:50 Pliny Jailbreaks Fable 5 15:15 Anthropic vs the Administration: The Standoff 17:38 The Foreign National Rule & the Digital ID Threat 20:09 Why You Should Learn Local & Open-Source Models (LM Studio Guide) 24:34 Think Bigger: The Real Skill as AI Keeps Improving 25:42 Big Open Questions: China, the IPO & AI Geopolitics 29:00 Newsletter & Webinar: Get Paid to Teach AI — Useful Resources —— Find everything else at https://aiwithkyle.com/
Transcribe →199: Claude Fable 5 & Mythos: The Most Powerful AI Model Ever Built
2w ago00:19:17Tap to summarizeHand big work to AI without getting burned (Free Guide): https://aiwithkyle.com/mini/fable-commissioning 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 Summary: Claude Fable 5 and Mythos are here, and they've quietly split the AI world in two. In this episode I break down exactly what these models are, why most people are only getting Fable and not Mythos, and what the June 22nd deadline actually means for your access. The hierarchy has shifted: it no longer goes Opus, Sonnet, Haiku. There's a new tier above all of that, and it costs significantly more than your current subscription.The uncomfortable truth is that $200 a month now puts you in the lower class of AI user. The models capable of genuinely transformative work are heading toward pay-per-use pricing at roughly $40 an hour, and only businesses with serious cash flow will run them at scale. I cover what this bifurcation means practically, who it affects, and how to get the most out of Fable while you still have free access. —— Time Stamps —— 0:00 This Week in AI: Mythos, Fable 5 & the IPO News 1:20 First Impressions: Why Fable 5 Feels Like a Step Change 3:13 Prompting vs. Commissioning: A New Way to Work With AI 4:55 The Backstory: "Most Dangerous Model," Glasswing & the IPO 6:13 The New Model Hierarchy: Where Fable Fits 7:00 Safeguards: Why Biomedical Researchers Got Cut Off 7:50 Ethan Mollick's Isochronic Map: What Fable Can Really Do 9:02 AI as a $40-an-Hour Employee & the Impact on Jobs 10:37 The Black Box Problem & Distillation Attacks 11:56 Is Fable Overkill? When Not to Use It 12:38 Solving Big Problems: The Youth Unemployment Case Study 13:42 The June 22nd Cutoff & the AI Wealth Divide 16:15 Controversies: Gatekeeping, Jailbreaks & Transparency 17:42 AI for the People or the Elites? OpenAI's Opening 18:50 Wrap-Up & Free Newsletter — Useful Resources —— Find everything else at https://aiwithkyle.com/
Transcribe →198: AI SEO: How to Show Up in ChatGPT & AI Overviews
3w ago00:16:46Tap to summarizeGet 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 Summary: AI search is eating into Google and if your business isn't showing up inside ChatGPT, Claude, or Google's AI Overviews, you're already behind. In this video I go through what Ahrefs found across 1 billion data points and 14 studies: which content formats actually get cited by AI, why schema markup does essentially nothing, and why YouTube turns out to be the single strongest signal for AI brand visibility. Yes, really. Practical stuff only. Blog listicles, homepage rewrites, reviews, directories, podcasts, and a YouTube strategy most businesses are completely sleeping on. Nobody's even agreed on a name for this yet (GEO? AEO? LLM SEO?) but the playbook is simpler than you'd think. —— Time Stamps —— 0:00 Intro: How to Be Discoverable Inside AI 01:07 What Do We Even Call It? AI SEO vs GEO vs AEO 1:39 AI Still Looks for Real Evidence Across Surfaces 2:59 Blog Listicles: ChatGPT's #1 Cited Content Format 3:40 Chatbots vs Google AI Overviews Explained 5:34 Wikipedia & the Sources Marketers Can't Control 6:35 The Hidden Discovery Layer: Zero Google Visibility 7:46 Retrieved vs Cited: ChatGPT's 50% Citation Gap 8:27 Off-Site Signals: Reviews, Podcasts & Directories 9:22 Why YouTube Is the #1 Signal for AI Visibility 10:43 How AI Overviews Are Killing Your Website Clicks 12:28 Comparison Pages & Why Schema Markup Is a Waste 14:36 Stop Tricking the Algorithm — Just Be Useful 15:19 The Practical AI Visibility Checklist 16:17 Wrap-Up & Free Resources — Useful Resources —— Find everything else at https://aiwithkyle.com/
Transcribe →197: How To Get Paid For AI
3w ago00:17:58Tap to summarizeGet 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 Summary: AI is getting very good at writing, coding, and creating polished content. So good, in fact, that polish is now the least interesting thing you can offer. In this one I make the case that the most valuable skill you can build right now is getting on camera and talking, because that is exactly what AI cannot replicate convincingly. I walk through the full progression from short-form video to livestreaming to paid AI workshops for businesses, and why non-technical communicators are the people companies actually want to hire. You have a phone and an opinion. That is genuinely all you need to start —— Time Stamps —— 0:00 Public Speaking & "Yapping": Your AI-Proof Skill 1:26 Why Polished Content Now Kills Your Engagement 3:34 From Short-Form Video to the Stage: The Progression 7:16 Don't Hide Behind AI Avatars or Voice Clones 9:14 Turn Content Into a Business (and Niche Down) 12:03 What "Yap" Content Is & Twitter's Video React 13:09 The Fundamentals of Yap Content 14:45 How to Start: Phone, Apps & Recording Tips 16:58 Final Thoughts: Why Being Human Wins — Useful Resources —— Find everything else at https://aiwithkyle.com/
Transcribe →196: AI 101: Tokens, Context Windows & Why AI Makes Dumb Mistakes Explained
3w ago00:27:13Tap to summarizeGet 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 Summary: Tokenization is one of those concepts that sounds technical until you realise it explains basically everything. Why AI can't count the letters in "raspberry." Why a bigger context window sometimes makes things worse. Why your API bill might be quietly spiralling. This is a 101 lesson on tokens: what they actually are, how models use them, and why the common assumption that a token equals a word is close but not quite right. The second half gets into context windows, the working memory of a model, and why the "just give it everything" instinct is both expensive and counterproductive. Whether you're building on the API or just a heavy user wondering why long threads start getting weird, understanding this stuff changes how you work. Also, token maxing is a trend and it is, in my view, a bit dumb. We get into that too. —— Time Stamps —— 0:00 Intro: What Tokenization Is & Why It Matters 1:27 Tiktokenizer Demo: How Words Break Into Tokens 4:18 Token IDs: How Models Store Words as Numbers 5:35 Tokens Across Languages: Why English Is Cheapest 7:59 The Raspberry Problem: Why AI Can't Count Letters 9:49 Context Windows Explained: What "1 Million Tokens" Means 11:40 Context Compaction: Why Chats No Longer Cut You Off 13:27 Why a Bigger Context Window Isn't Always Better 16:18 API Pricing: How Tokens Drive Your AI Costs 18:42 "Token Maxing": The Wasteful AI Trend to Avoid 20:13 Finding Real Context Limits & DeepSeek vs GPT Pricing 22:36 Rules of Thumb: Optimize for Useful Context 25:12 Wrap-Up & Andrej Karpathy Recommendation 26:20 Newsletter & Sign-Off — Useful Resources —— Find everything else at https://aiwithkyle.com/
Transcribe →195: How to Use Codex Pulses (and Delete Your To-Do App)
4w ago00:15:56Tap to summarizeGet 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 Summary: Codex Pulses are dedicated AI threads that run on a schedule, collect everything you throw at them, and send you a triage report every morning. Credit to Dan Shipper for the original idea. I tried it, built my own version, and haven't opened a to-do app since. This is the full setup walkthrough. The system works like this: you speak into the Codex mobile app on your phone, it syncs to your home computer, and your pulses do the processing overnight. Thought capture, to-dos, things to buy, content ideas. Each gets its own thread, its own rules, its own output. No coding required, no complex configuration (like Open Claw), just chat. —— Time Stamps —— 0:00 Intro: What Are Codex Pulses? 0:56 Dan Shipper's Codex Power User Method 2:07 What Is a Pulse? Building Your Own Threads 3:29 Codex vs OpenClaw: Why Focused Beats Broad 4:02 Capturing on Mobile: Your Home Computer as Command Center 5:41 Daily Reviews & Proactive AI Automation 7:32 Kyle's 5 Capture Pulses: Thoughts, To-Dos & Content Ideas 10:37 To-Do & Buy Capture: Auto-Sorting Your Purchases 12:05 The Codex Mobile App: The Real Game-Changer 13:20 Getting Started: Codex Pricing & Setup Walkthrough 15:15 Recap & Wrap-Up — Useful Resources —— Find everything else at https://aiwithkyle.com/
Transcribe →194: The AI Job Audit: Will AI Take Your Job?
4w ago00:16:30Tap to summarizeGet 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 Summary: AI isn't going to tap you on the shoulder and tell you you're redundant. It's quieter than that. What's actually happening is a slow compression of the tasks that make up your working week, and if you're not paying attention to which ones are at risk, you'll be caught out. In this video, I walk you through how to break your job down into its component tasks, identify which ones are genuinely defensible, and work out where to focus your energy. I've also built a diagnostic tool that does a lot of the heavy lifting for you. You put in your job title, add a description, and it maps your weekly tasks against labour market exposure data to give you a real picture of where you stand. It's free. The link's above. But even if you want to run this manually first, I show you exactly how to do that in this video too. It's not about doom, it's about knowing where you actually are. —— Time Stamps —— 0:00 Will AI Take Your Job? The Real Threat Explained 1:30 Why Every Job Is a Bundle of Tasks 2:46 Exposed Edges vs Defensible Tasks (Accountant & Zookeeper) 4:06 How AI Quietly Shrinks Headcount 6:04 Why Gen Z and Entry-Level Workers Get Hit First 7:32 The Productivity Myth and the Demand Problem 9:27 Second-Order Effects: Why No Industry Is Safe 10:54 The DIY Job Audit: Map Your Weekly Tasks 12:51 Build Your Human Edge: Skills AI Can't Replace 14:43 Your Action Plan and the AI Job-Risk Tool — Useful Resources —— Find everything else at https://aiwithkyle.com/
Transcribe →193: Here's how I find what to automate with AI (and what NOT to)
May 2700:19:53Tap to summarizeGet 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 Summary: I've seen too many people rush straight into building AI agents for tasks that don't need them. This is the corrective. Starting from a viral prompt retweeted by Greg Brockman, OpenAI's co-founder, I walk through a proper workflow audit - how to find the tasks in your actual working week that are genuinely worth automating, and how to spot the ones that aren't. The framework is simple: audit your real work first, then match the fix to the job. A reusable prompt in a Word doc beats a managed cloud agent if that's all the task needs. I also show you how to put your AI into interview mode to surface repeating workflows you didn't even know you had. A practical system for getting more done with less friction. —— Time Stamps —— 0:00 The Viral Self-Improvement Prompt (Greg Brockman + Vaibhav) 4:06 Why You Shouldn't Automate for the Sake of It 5:29 How to Audit Your Real Weekly Workflows 7:19 When NOT to Automate: Avoid the Over-Engineering Trap 9:17 Put ChatGPT in Interview Mode (Live Demo) 13:04 The Simplest Tools First: Prompts, Checklists, and Templates 15:01 Stepping Up: Zapier, Make.com, and n8n Automations 16:10 Managed Agents, Sub-Agents, Scripts, and Custom Apps 17:18 Fit The Fix To The Job: Don't Get Blinded by Viral AI 19:10 Wrap Up + Where to Get the Prompt — Useful Resources —— Find everything else at https://aiwithkyle.com/
Transcribe →192: Google I/O: What You Actually Need to Know
May 2500:22:12Tap to summarizeGet 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 Summary: Google I/O is over, the dust has settled, and the takes have mostly been garbage. So here's what actually matters from Google's big conference this week. Hint: it's not the video generator. The story everyone missed is Google's move to embed agentic AI directly into Search. That's where 70% of their revenue comes from, and they're knowingly blowing it up. I walk through why that's a genuinely brave decision, what it means for SaaS businesses, how it compares to the OpenAI approach, and why distribution will always beat product quality. Also: Gemini 3.5 Flash benchmarks, Antigravity 2's messy launch, and why I'm not particularly impressed with any of it, but still think this was one of the more important AI weeks of the year. —— Time Stamps —— 0:00 Intro: Cutting Through the Google I/O Hype 1:10 Why Google Conferences Look Flashy But Say Nothing 2:13 Distribution Beats Product: The Slack vs Microsoft Teams Lesson 3:53 Google's Confusing AI Product Sprawl (Jules, Opal, Antigravity, Spark...) 5:53 Gemini 3.5 Flash: Benchmarks and Why People Aren't Impressed 9:07 Google's Hidden Edge: Bringing AI Directly to Users 10:17 The Real I/O Story Nobody Covered: AI Inside Google Search 12:16 Why Google Must Cannibalize Their $82 Billion Ad Empire 14:46 How Google Agents Will Demolish Lightweight SaaS Companies 17:07 Project Spark: Google's Jarvis-Style AI Assistant 18:21 Antigravity 2: The Codex Clone That Flopped 20:21 Final Verdict: What Actually Matters from Google I/O — Useful Resources —— Find everything else at https://aiwithkyle.com/
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