We propose the mismanaged geniuses hypothesis, which posits that existing frontier language models are severely underutilized due to sub-optimal use of individual language model calls.

LLMs have turned a corner — from solving textbook problems to scoring top marks at the world's hardest math contests and cracking unsolved conjectures, all with minimal human oversight. How did we get here, and what does the current landscape of AI-powered formal mathematics look like?

I am a computer scientist.

Leonardo de Moura — Creator of Lean and Z3

❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambda.ai/papers Guide for using DeepSeek on Lambda: https://docs.lambdalabs.com/education/la...

On the the engineering challenges and lessons learned from building Claude's Research system

MotionGPT is a unified model for language and motion tasks, achieving top performance in text-driven motion generation. It combines natural language models with human motion tasks, benefiting fields like gaming and robotics. The model treats human motion like a foreign language, offering a versatile solution for diverse motion synthesis problems.