If you're a CS grad student in the US, I'll pay you a small fee to write for The Consensus. I'm especially looking for articles that compare the state of research to the state of what devs do in practice, because there are often interesting discrepancies.
📢 Open-sourcing the Sarvam 30B and 105B models! Trained from scratch with all data, model research and inference optimisation done in-house, these models punch above their weight in most global benchmarks plus excel in Indian languages.
Get the weights at Hugging Face and AIKosh. Thanks to the good folks at SGLang for day 0 support, vLLM support coming soon. Links, benchmark scores, examples, and more in our blog - https://t.co/DcCG3zlN8p
Drop 4/14: Introducing Sarvam Vision: a state-space based 3 billion parameter vision language model that is competitive with the best results in digitisation in English, and defines a significantly higher bar for Indian languages. See the details in our blog: https://t.co/HyGMPNWJu7
un petit plugin a la con bien pratique pour changer les font d'un site et gagné en confort de lecture
je viens de changer celle de twitter et c'est un bonheur
https://t.co/KMAQ6zkbgh
The bottleneck for deep skill isn't usually intelligence, but boredom tolerance.
Learning has an activation energy: below a certain skill threshold, practice is tedious, but above it, it becomes a self-sustaining flow state. The entire battle is persisting until that transition.
A new essay on the crazy, all or nothing approach to work happening in AI today, the looming human costs, and the lack of a finish line.
I wouldn't say it's okay, but I'm not sure how to fix it.