Google DeepMind's Pushmeet Kohli and Biohub's Sal Candido discuss why AlphaFold's breakthrough was only a starting point and protein structure prediction is far from solved.
Import AI issue 474 covers three items: Michael Levin has published a paper proposing that the relationship between mind and brain is like that between mathematical patterns and physical outcomes—the mind is a non-physical pattern from "Platonic space" and the body is merely its interface into the physical world, citing experiments with xenobots, anthrobots, and more as evidence. The issue also discusses how robotics is preparing for an LLM-like moment but still lacks a general-purpose algorithm, and Zhipu AI's progress in starting an outer RSI (recursive self-improvement) loop.
Import AI issue 470: METR research finds AI brings significant speedups to cybersecurity discoveries, modest contributions to math, but no measurable acceleration yet for optimizing AI research algorithms. Teams from multiple universities propose the SPADE framework, which co-evolves environment synthesis with agent capabilities via self-play, reaching an average score of 58.3 on a suite of game environments with Qwen3-30B-A3B, 5.3 above the baseline. This issue also introduces Hawkeye, for building better GPU kernels.
Dharma AI published an analysis of the 2026 paper by Goldfeder, Wyder, LeCun and Shwartz-Ziv, "AI Must Embrace Specialization via Superhuman Adaptable Intelligence".
Import AI issue 456 focuses on three topics. Law & AI researchers propose a "radical optionality" approach to AI regulation: governments should avoid overregulating now and instead invest in capabilities like information gathering, whistleblower protection, model weight security, and talent to prepare for future transformative AI.