Sam Altman says a whole generation of researchers held AI back by underestimating what scaling could do
At a Stanford talk, Sam Altman defended LLM scaling and hit back at skeptics, saying a whole generation of researchers slowed the field by underestimating what scaling could do. He cited OpenAI's recent disproof of a mathematical conjecture as evidence.
The article Sam Altman says a whole generation of researchers held AI back by underestimating what scaling could do appeared first on The Decoder.
Rating
Innovation
Pricing
Technology
Usability
We have discovered similar tools to what you are looking for. Check out our suggestions for similar AI tools.
Train-to-Test scaling explained: How to optimize your end-to-end AI compute
<p>The standard guidelines for building large language models (LLMs) optimize only for training costs and ignore inference costs. This poses a challenge for real-world applications that use infe [...]
98% of market researchers use AI daily, but 4 in 10 say it makes errors —
<p>Market researchers have embraced artificial intelligence at a staggering pace, with 98% of professionals now incorporating AI tools into their work and 72% using them daily or more frequently [...]