Hybrid Agents Cut Decoding Compute 72.9%, Score Higher
A Stanford and Together AI paper finds hybrid agents cut decoding compute by 62.5%–72.9% while scoring higher, suggesting most thinking works best in hidden vectors, not written text.
Stanford
All AI Pulse updates tagged "Stanford".
3 signalsBerkeley PhD Graduate to Join Stanford CS as Assistant Professor
rajiinio announced she graduated with a PhD from Berkeley EECS and will join Stanford CS as an Assistant Professor and Stanford HAI center fellow in Fall 2027, spending the interim year at the IAS and Princeton.
Stanford debuts PhilosophyBench for AI philosophy
Sebastian Thrun introduces PhilosophyBench from Stanford AI Lab and Stanford HCI, billed as the first independent large-scale benchmark for AI philosophical capabilities.