Import AI 459: AI oversight, protein folding scaling laws, and extinction risk pricing
Import AI (Jack Clark)1d agoCommentaryImport 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.
ESMFold2: The Bitter Lesson Is Coming for Proteins★ 74
Latent Space6d agoCommentaryLatent 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.
Engineering more resilient crops for a warming climate★ 75
Google DeepMind Blog180d agoRelease面對全球暖化威脅，科學家正利用 Google DeepMind 的 AlphaFold 技術來強化植物光合作用中的關鍵酵素。透過精準預測蛋白質結構，研究人員能設計出更具耐熱性的酵素變體，從而培育出在高溫下仍能維持產量的抗逆作物，為全球糧食安全提供關鍵技術支持。
AlphaFold: Five years of impact★ 85
Google DeepMind Blog189d agoCommentaryGoogle DeepMind 發表 AlphaFold 問世五週年的影響力報告。自 2020 年 AlphaFold 2 在 CASP14 取得突破以來，該技術已預測了超過 2 億個蛋白質結構，並免費開放給全球數百萬名研究人員。從加速瘧疾疫苗開發、應對抗生素耐藥性，到推動綠色塑料分解酶的研發，AlphaFold 徹底改變了生命科學，並於 2024 年榮獲諾貝爾化學獎肯定。