Experts Have World Models. LLMs Have Word Modelslatent.space238 points·by aaronng91·5 months ago·272 comments
Why America Builds AI Girlfriends and China Makes AI Boyfriendschinatalk.media4 points·by aaronng91·9 months ago·0 comments
Continuous vs. dynamic batching for AI inferencebaseten.co1 points·by aaronng91·12 months ago·0 comments
The AI rollup mirage and the risk of repeating old mistakespress.airstreet.com1 points·by aaronng91·last year·0 comments
How to build smarter turn detection for Voice AIblog.speechmatics.com5 points·by aaronng91·last year·1 comments
What AI Can't Replace: Intuition, Alignment, and Tastestartupsoup.substack.com2 points·by aaronng91·last year·0 comments
ElevenLabs' Carles Reina: Building Moats in AIakashbajwa.substack.com1 points·by aaronng91·last year·0 comments
Futures of the data foundry business modelinterconnects.ai1 points·by aaronng91·2 years ago·0 comments
Silicon Valley doomers are shaping Rishi Sunak’s AI planspolitico.eu14 points·by aaronng91·3 years ago·1 comments
Safeguarding Enterprise Adoption of LLMsadityanaganath.substack.com7 points·by aaronng91·3 years ago·0 comments
Some Background on Our Views Regarding Advanced Artificial Intelligence (2016)openphilanthropy.org2 points·by aaronng91·5 years ago·0 comments
My Machine Learning Research Jobhuntgeneralizederror.github.io2 points·by aaronng91·5 years ago·0 comments