We asked the best AI researchers in the world one question: if you had the resources, how would you use AI to solve humanity's hardest problems?
Today we're sharing what came back.
Moonshots // ONE is live. 🧵 laude.org/moonshots
As expected, the next generation of models are now being evaluated for continual learning ability as a first-class attribute (via scores & traces from things like @pgasawa's recently released Continual Learning Bench).
The value I get from conferences is inversely proportional to their size. A massive hangar with 1000 posters showing completed work across every subfield of AI? meh. A few couches with 10 people discussing their half-cooked work in a particular shared niche? perfection. It's why
No one can inspire a spontaneous audience-wide discussion quite like our co-founder. In yesterday’s @CAISconf keynote, @andykonwinski compared this moment in AI to the early days of the internet. The internet stayed open not because everyone agreed openness was morally good, but
The dominant story in AI has been the growing cloud: bigger clusters, larger models, more gigawatts.
We believe the future is in the opposite direction: on-device inference, smaller models, watts instead of gigawatts.
Today we're releasing @OpenJarvisAI v1.0: a personal AI
Congrats to our very own Pete Sonsini @psonsini on another year on the Midas List. Here he is in his element at NeurIPS last year.
forbes.com/profile/pete-s…
Arrived at @CAISconf today and started the conference. I got to catch up with a few friends (Hi @LakshyAAAgrawal@melissapan@mertcemri@JonSaadFalcon and other folks!) at the Laude Lounge. It's always been great to sync up our research progress and exchange ideas about future