Import AI 459 foregrounds the difficulty of AI oversight. Its title also points to scaling laws for protein folding models and the pricing of extinction risk from AI systems. The supplied text contains only an opening question about living through a revolution, so the underlying evidence, examples, methods, and conclusions cannot be summarized from the excerpt alone.
Latent Space interviews Biohub’s Alex Rives about ESMFold2 and the broader ESM protein modeling stack. The discussion centers on datasets versus inductive bias, and whether protein biology is entering its own Bitter Lesson era. The key implication is that large-scale evolutionary sequence data and open models may become foundations for structure prediction, interaction modeling, and programmable biology.
As global temperatures continue to rise, extreme weather events and heat waves are posing a severe threat to agricultural production and food security…
Google DeepMind recently published a retrospective on the remarkable achievements and far-reaching impact of AlphaFold, its revolutionary AI model, over the…