Posts
All the articles I have published.
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Do World Models Hallucinate? Yes — and It's Predictable
Published date:9 min readA world model's hallucination is not an invented citation — it is invented physics: smooth video that quietly drifts from reality. What it looks like, why models with an internal world simulator still get the world wrong, and the 2026 finding that these failures are predictable before they happen.
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Spatial Intelligence in AI: The Human Skill Machines Are Missing
Published date:8 min readSpatial intelligence — perceiving, reasoning, and acting in 3D space — is what Fei-Fei Li says AI is missing. What it means, where it comes from, how machines get it.
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Does Video Generation Understand the World? The Sora World-Simulator Debate
Published date:10 min readOpenAI called Sora a step toward world simulation; the app shut down in April 2026. What the physics benchmarks actually measured — and why the question outlived the product.
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Future of AI in the Next 10 Years: Five Forces, Not Dates
Published date:9 min readThe future of AI arrives as forces, not dates. Five verifiable trends — capital, reliability, regulation, energy, world models — shape the next 10 years.
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What Is a World Model? The Field, the Money, and the Test
Updated date:7 min readA world model gives AI an internal picture of how the world behaves: state in, next state out. Series hub: the four routes, the money, and the honest test.
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When Will AGI Happen? Every Major AGI Prediction, on the Record
Published date:12 min readEvery major AGI forecast on one page: the 1960 miss, Musk's expired 2025 date, Altman's 2026 deadline, Legg's 2028 bet, Kurzweil's 2029, the crowd's 2031.
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The Five Levels of Working With AI: What Kitchens, Cockpits, and Job Sites Already Know
Published date:23 min readHow do you organize AI assistants? Every mature workplace already answered the general question — with a five-level ladder running from skill to philosophy. What the kitchen, the cockpit, and the construction site discovered, and how each level translates to working with AI.
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What Is Artificial General Intelligence, Actually?
Published date:11 min readNo two major labs define artificial general intelligence the same way: OpenAI draws an economic bar, DeepMind draws a ladder, Anthropic refuses the word, Yann LeCun rejects the 'general'. Where the term came from, why the definitions bend, and how to read it without getting fooled.
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Who Is Building World Models — and What Are They Betting?
Published date:9 min readFour groups are staking the world-model field: giants hedging with their own models, star founders with billion-dollar war chests, specialists compounding data advantages, and China's driving-first track. The pattern across all four says more than any single announcement.
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How Do World Models Work? Four Ways AI Learns to Imagine
Updated date:10 min readA world model predicts what it will see next, given what it sees now and what it does. The interesting part is how: four different technical routes, each answering 'what should the model predict?' in a different way — with real systems already running on each.
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World Model vs. LLM: What's Actually Different, and Why It Matters
Published date:10 min readAn LLM predicts the next piece of text; a world model predicts the next state of an environment. The distinction sounds small and isn't — it explains where AI works today, where it fails, and why the biggest labs are spending billions on both.
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Why Do Language Models Hallucinate? The Confident-Guesser Problem
Published date:8 min readChatbots make things up because of how they are built and how they are graded, not because of a bug someone forgot to fix. The mechanism, the exam-room incentives behind it, and why it can't simply be patched away.
