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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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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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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.
