AI beat the world champion at Go. It still can't tell you which supplier is unreliable or which order is late.
Those aren't spatial facts. They're relational facts. And they're the world model that actually matters.
https://t.co/jy0e8pZSAO
Knowledge and reasoning aren't fundamentally text. The "world model" as visual/physical predictor risks recreating the same integration problem at a different layer. Reality isn't visual or physical, it's an information space of interrelated concepts.
https://t.co/st9xOifKo0
The AI interface problem isn't new. The pre-web Internet was powerful and only experts and nerds used it. Then someone wrapped it in spatial structures the mind already knew how to inhabit — and a billion people walked in.
Where Exactly Is the Internet?
https://t.co/b6EKT9JKg4
A book has weight. The novel does not.
We build oceans of cable and silicon to move things that have no mass. Worth thinking about.
https://t.co/mDEY87TMxJ
We keep calling this the AI revolution. But AI might be the wrong framing.
The transformer is an interface technology. The mouth, not the mind.
The real shift is about representation, it looks less like invention than resumption.
The discourse 'been fixated on bigger models, better reasoning, more capable agents. The actual bottleneck is the data layer. How info is structured and made available to computation.
The model is powerful enough. What's missing is the material it's supposed to be powerful over.
Six assertions:
• Complexity doesn't disappear • AI sits at the UI boundary
• The system runs on structured representation
• That structure is formatted for AI interop
• There will be pressure to unify
• The paradigm is more about data representation than AI computation
Nothing about computing has ever been a short cut. Language named things. Clay tablets tallied them. Filing cabinets categorized them. Databases made them queryable. Every generation: same project, model reality.
LLMs are simply the latest tick on that arc
The AI industry made a foundational bet: structured representation is over. Model weights hold the knowledge. Context windows hold the state. Just prompt it, bro.
That bet is losing. Here's what comes next. 🧵
Structured representation isn't over. It never was. The "AI bubble" is the reluctance to admit the walkback from that initial overestimation.
Chat Is Not Where It's At
https://t.co/SwEcqc19ZC
If 2026 is the year AI changes everything, shouldn't that blow back into the UI?
Chat works for questions. Alone, it's inadequate for the breadth of thinking we want to do with these systems.
https://t.co/xjNJMFJnEl
Mattel just pulled back on their OpenAI partnership. Investors are demanding returns that CEOs say they can't deliver in 2026. The gap between AI hype and AI utility is becoming impossible to ignore.
https://t.co/9fJhNx4Gjf
The commercial labs aren't building what they say they are.
AGI is invoked like a destination but kept conveniently vague. Meanwhile, the cognitive partner people actually imagine when they say "AI" requires architecture the labs aren't really pursuing.
https://t.co/dNfDU6VOTg