Thinking Machines Lab Aims To Make AI Models More Consistent

Thinking Machines Lab Aims To Make AI Models More Consistent

Why AI Models Consistency Matters AI models consistency has become one of the most pressing challenges in artificial intelligence today. Users often notice that asking the same question multiple times can yield slightly different answers, which makes it difficult to rely on AI for scientific research, enterprise applications, and reinforcement learning training. Thinking Machines Lab, founded by former OpenAI chief technology officer Mira Murati, is addressing this issue by exploring ways to create AI models with reproducible responses. With $2 billion in seed funding and a team of leading researchers, the lab is positioning itself as a pioneer in solving nondeterminism in AI. Image Credits:Jon Kopaloff/Getty Images for WIRED AI Models Consistency And The Role Of GPU Kernels At the heart of AI randomness lies the way GPU kernels—tiny programs running inside specialized computer chips—are orchestrated during inference. This process introduces variability, which leads to inconsistent result…