Supply-chain attacks, reasoning extraction, and frontier LLM harm datasets expose security gaps, while EU transparency rules extend watermarking to local and open models. Debates in Debian and among AI leaders reflect rising governance and trust concerns.
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...
Debian developers have opened a general resolution vote on how much room to give LLM-generated contributions. The debate touches code provenance, review, and responsibility, with direct implications for those building local and self-hosted stacks.
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...
A paper shows how to extract all reasoning tokens from Claude and GPT models. It reveals widespread overthinking, benchmarks tainted by memorization, and China’s exploitation of the gap to distill frontier models. Closing this leak redefines the real...
Anthropic, OpenAI, Google, Meta, Microsoft, and Mistral have all signed the EU Code of Practice on AI-generated content transparency. The requirement now covers local and open source models, mandating watermarks for text and code. For on-premise depl...
