
Sergei Polevikov
@aihealthuncut
Math geek, published author & health AI founder faced with personal adversity. Join AI Health Uncut newsletter: sergeiAI.substack.com ๐ฎ๐ฑ๐บ๐ฆ๐บ๐ธ๐คโค๏ธ๐ค
ID: 1451734213691052035
https://www.linkedin.com/in/sergeiai/ 23-10-2021 02:17:01
3,3K Tweet
1,1K Followers
1,1K Following



The in-context learner of the "beautiful Google Research paper" is a meta learner like Sepp Hochreiter's 2001 meta LSTM [1] which learned by gradient descent (GD) a learning algorithm that outperformed GD - no test time weight changes! Since 1992, GD can learn learning algorithms

๐ Congrats to MichaelNg, Nikhil Buduma, the entire Ambience Healthcare team โ rare good guys in my "50 Most Popular AI Scribe" ranking: sergeiai.substack.com/p/top-50-ai-scโฆ. Just a couple of years ago, they were scrambling. But Iโve gotta say, theyโve drastically improved and seriously polished their


๐ฅ Today is a massive podcast drop. โIs There a Science Behind Longevity?โ โ a new episode I co-hosted with my good friend and digital health expert AlexKoshykov โ just dropped on Digital Health Inside Out: youtube.com/watch?v=QSKIIpโฆ. Guests include such renowned experts as










Calc Consulting Maybe OpenAI actually does know its layers after all ๐

โค OpenAI just released its first open-weight language models since GPT-2, called #gptoss. โค They keep pushing HealthBench like itโs proof theyโve โsolvedโ healthcare. ๐ โค You canโt really fine tune gpt-oss. So unless your dataset looks like #HealthBench, youโre out of luck.


๐โจ New Interview Drop! โจ๐ Ever wondered how a major health system REALLY decides which startups get a pilotโand which ones get shown the door? I sat down with Komal Bajaj MD, MS-HPEd Bajaj, CQO at NYC Health + Hospitals, to talk: youtu.be/fPqj6ECa55Q #DigitalHealth #HealthTech


๐๐ฟ๐ฒ ๐๐ต๐ฒ ๐ข๐ฝ๐ฒ๐ป๐๐ ๐ข๐ฝ๐ฒ๐ป๐ฆ๐ผ๐๐ฟ๐ฐ๐ฒ ๐บ๐ผ๐ฑ๐ฒ๐น๐ ๐ผ๐๐ฒ๐ฟ๐ณ๐ถ๐ ๐๐ผ ๐๐ต๐ฒ๐ถ๐ฟ ๐๐ฟ๐ฎ๐ถ๐ป๐ถ๐ป๐ด ๐ฑ๐ฎ๐๐ฎ ? Analysis with weightwatcher shows over 10% of the layers in the 'red zone', and, oddly, closer to the labels than the data. It is reminiscent of the Llama
