Stanford University is a research university in the United States. Recent coverage includes HomeBody, a Caltech and Stanford project that lets a VLM orchestrate composable motor skills so a Unitree G1 humanoid keeps spatial memory; CLM-8B, a contrastive language model released with NVIDIA that matches Jev on computer-use, gaming and tool-calling tasks with up to 9x lower latency; and a CESifo working paper disputing a Stanford study on AI and new-graduate hiring.
HomeBody: Long-horizon humanoid autonomy without policy learningResearchers at Caltech and Stanford present HomeBody, which lets a frontier VLM directly orchestrate composable motor skills, giving a Unitree G1 humanoid persistent spatial memory. In an unseen kitchen it cleans across the room and retrieves remembered objects from underspecified requests without environment-specific training data or policy learning.
Study finds no significant AI displacement of new gradsA CESifo working paper by economists Robert Fairlie and Jane Wu says there is no evidence AI has significantly displaced or reduced hiring of recent college graduates, contradicting a Stanford study that found entry-level employment lagging in AI-impacted occupations. The authors focus on new grads because hiring cuts may appear before layoffs.
Stanford and NVIDIA Release CLM-8B Contrastive Language ModelStanford and NVIDIA introduce Contrastive Language Models (CLMs) and release CLM-8B, which matches Jev's performance on computer-use, gaming, and tool-calling tasks while achieving up to 9× lower latency. With fine-tuning, it sets new SOTA on DeepSWE (81.6%) and Terminal Bench 2.1 (87.6%), and the authors establish power-law scaling laws for contrastive loss.
The A.I. Daily