4 appearances on the backlist front page in the last 30 days.
Shared my first trace from @NanoClaw_AI to @huggingface yesterday. Very cool! By default, all agents should store their traces on HF (in private) so that you can keep a history of them, analyze them,... & share them and post-train bet
Publishing safety evals and datasets lets outside researchers reproduce, scrutinize, and extend government AI-safety work
RL training pipelines spend huge bandwidth moving fresh weights to inference engines, and a 100x reduction removes a major constraint on distributed post-training
Today, I'm working on trying to better understand how coding assistants mention HF's products. Taking a simple approach of running tons of queries and analyzing the answers with @DAKlingbeil 's https:// submarine.ai (ex: https:// huggi