Aging research is constrained by methods-development (AND software, but methods-development is more constraining atm given how AI is making benchmark after benchmark fall in 2022)
https://archive.ph/OtHPi (adam ashwal of transistor bio)
ZACH CHIANG’s
Sanna Madan is REALLY GOOD
PROGRESS STUDIES
CODING IN GENERAL: (biotech culture will inevitably follow CS/AI culture over time)
replit, https://thenewstack.io/github-copilot-a-powerful-controversial-autocomplete-for-developers/ , latch.bio
==
AI progress: https://jack-clark.net/ , Conor Leahy, near on X: "“Extrapolation of this model into the future leads to short AI timelines: ~75% chance of AGI by 2032” Cumulative Optimization Power: a Simple Model of Intelligence: https://t.co/nJnWoeQP5c" / X
(it’s very probable AI will drive most longevity progress by the late 2030s if not earlier SO PREPARE FOR IT)
==
DeSci ppl (idk how bullish in them, but maybe worth paying attention to, esp for outsiders)