Supply-chain attacks on tools like LiteLLM and breaches at Hugging Face are pushing providers toward stronger model supply-chain controls and post-training safeguards. New datasets are also shifting frontier safety evaluation from binary outcomes to harm distributions.
OpenAI has introduced new safeguards after the Hugging Face incident: more detailed monitoring of models during development and greater emphasis on alignment and security during post-training. The move extends the control perimeter from inference alo...
HarmProfile collects more than 80,000 validated harmful artifacts from 23 frontier LLMs across 13 model families, organized into 15 harm categories and 57 subcategories. The dataset shifts safety analysis from binary attack outcomes to the distributi...
A supply-chain attack on LiteLLM exposed terabytes of credentials from over 2,500 organizations, including Microsoft, Amazon, Cisco, Samsung and Salesforce. CloudSEK and Hudson Rock analyzed a 195TB file and found cloud keys, repository tokens, Kuber...
At Ai4, Geoffrey Hinton, Fei-Fei Li and Andrew Ng debated regulation, open source access, and America's ability to compete as China advances. The discussion exposes a structural divide: openness is not only research culture but a prerequisite for sel...
