Announcements
The Bifurcation Thesis: Why There Is No Middle Ground In Digital Innovation
The most broadly diffused technologies in history have produced the most concentrated returns. This is not a bug—it is the system. You cannot half-build a platform. You cannot partially create a network effect. The middle ground is a strategic dead zone.
The Company That Watched Its Competitor Fail—And Did Worse
Volkswagen spent 5 years and billions of euros building software that never worked, then paid $5.8B to license Rivian's. The federated structure that enabled twelve brands systematically prevented building the unified system software-defined vehicles require.
AI Labs: The Great Filtration
SSI, Thinking Machines, World Labs, Humans&—each represents a different bet on AI's future. But ambition isn't the variable that matters. Scarcity is. The Great Filtration will separate those who control something defensible from those who don't.
The Thermodynamic Turn: From Pure Prediction to Prediction Embedded in Optimization
The most significant capability gains in AI aren't coming from bigger models—they're coming from embedding prediction inside optimization. Generation is becoming a proposal step. The thermodynamic turn is already underway.
Beyond Token Prediction: The Architectural Case for Truth-Grounded AI
LLMs optimize plausibility, not truth. RAG and verification compensate, but don't change the architecture. Real progress requires systems that learn from outcomes over time or alternative foundations that sidestep token prediction entirely. Different error economics.