Recently updated channels

Pick one to see only that channelBrowse all channels →
AI Engineeryesterday硅谷101yesterdayPragerU2 days agoY Combinator2 days agoSemiAnalysis3 days agoa16z3 days agoGOTO Conferences3 days agoLatent Space4 days agoDwarkesh Patel4 days agoAdrian Twarog5 days ago

Results

1 articles
Sort
ChannelSequoia CapitalTopicAI Safety
47:07EN
Sequoia Capital· Jul 8, 2025PodcastGoodfire’s Eric Ho thinks we will decode neural nets by 2028On Sequoia’s Training Data, the interpretability founder argues that sparse autoencoders, model editing, and a third-party lab are how AI stops being grown from data and starts being designed.Evals & observabilityModel InterpretabilitySafety & governance+3