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