
geo muni | brutalismus stan account | @demontw_nk |
Joined December 2021
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štěpán retweeted
There is nothing in my entire life I trust more than the NYT Needle. God himself could come down and tell me the probability and I'd ask where his Georgia prediction at 8:30 in 2020 was
štěpán retweeted
Trump ordina al DOJ un’azione legale perché un candidato indipendente al Senato in Alaska, Dan Sullivan, è omonimo di quello repubblicano.
Elon Musk per supportare Trump fa sospendere Dan Sullivan da X.
Ma per sbaglio sospende il Sullivan repubblicano
IO-NON-CE-LA-POSSO-FARE
OpenAI CEO Sam Altman says it’s “quite terrible” that people have so much DRAM sitting in their own PCs instead of being used in data centers.
“Everyone have a bunch of the world’s limited supply of DRAM sitting in their own computer. And be used 5% of the time,”
He argues that cloud data centers should make better use of limited memory supplies instead of people running AI models locally.
michal pur, ktery pred volbami otevrene podporoval Trumpa jako lepsi alternativu proti Kamale Harris vam bude od 20:00 rikat, co si mate myslet o Midterms.
Nepochybne to bude brilantni analyza, jako vzdy,
Zatímco ČT bude v úterý stávkovat, tak na @CNNPrima se můžete těšit celý den na totální zpravodajství o Midterms v USA a pojedeme speciál i přes noc. Od 20:00 se tomu bude věnovat nový pořad Zpravodajské centrum, pak monotematická 360, a pak nastoupí Terezie Tománková. Někdy od druhé nebo třetí ráno si to od ní převezmu zase já a pojedeme dál až do rána. Určitě uvidíte @maaarty1965, @durcak_michael a řadu dalších, kteří mají k USA co říct.
štěpán retweeted
There has been a bunch of really interesting experiments with activating individual neurons in open AI models, locking them into particular personas.
Here historian @ResObscura tries the same trick with a model trained only on data before 1930, and the results are delightful.
Inspired by @Sauers_ and @jfonsecarivera and other fun recent work with personas in AI models, I built a partial neuron atlas for Talkie-1930, the historical language model created by @status_effects and @AlecRad. Here's the link: talkieneurons.vercel.app




































