The AI paradigm shift most people missed in 2025, and why it matters for 2026
Analysis
The article highlights a shift in AI development from focusing solely on scale to prioritizing verification and correctness. It argues that progress is accelerating in areas where outputs can be checked and reused, such as math and code. The author emphasizes the importance of bridging informal and formal reasoning and views this as 'industrializing certainty'. The piece suggests that understanding this shift is crucial for anyone interested in AGI, research automation, and real intelligence gains.
Key Takeaways
- •The primary focus of AI development is shifting from scale to verification and correctness.
- •Progress is accelerating in areas like math and code where outputs can be checked and reused.
- •Bridging informal and formal reasoning is crucial for future AI advancements.
- •The goal is to 'industrialize certainty' rather than replace human reasoning.
Reference
“Terry Tao recently described this as mass-produced specialization complementing handcrafted work. That framing captures the shift precisely. We are not replacing human reasoning. We are industrializing certainty.”