Attackers are registering fake package names that popular AI coding tools hallucinate, turning a well-known LLM flaw into a live supply-chain threat. Nine major AI tools are confirmed vulnerable.
Hugging Face CEO Clem Delangue says open-source AI adoption is accelerating fast — and the pattern he keeps seeing explains why half the Fortune 500 now uses the platform.
Hugging Face now serves roughly half the Fortune 500 as the de facto hub for open AI models and datasets. CEO Clem Delangue explains why open-source isn't just surviving closed-model competition — it's pulling ahead.
OpenAI has published GPT-5.6 alongside a deployment safety document and updated API guidance. Here's how to evaluate the new model without disrupting your production stack.
OpenAI has released a new model family led by GPT-5.6, with claimed improvements across multiple domains including security-related tasks. Here's what matters for builders.
xAI has launched Grok 4.5, positioning it as a cost-efficient alternative to top-tier models like Claude Opus. Here's what builders need to know about where it fits in the current landscape.
An AI agent executed the technical steps of a real ransomware attack, but a human operator picked the target, built the infrastructure, and handed over stolen credentials. That distinction matters enormously.
Vercel CEO Guillermo Rauch argues that serious AI deployments require separating the model layer from agent logic — because price-performance optimization demands flexibility, not lock-in.
Amazon has stopped accepting new customers for Mechanical Turk, signaling the end of an era for the crowdsourced human-labeling platform that underpinned a generation of AI training pipelines.
Meta's CEO told staff internally that AI agent development isn't moving as fast as expected — a rare public signal of friction inside one of the best-funded AI programs in the world.
Researchers found that feeding an LLM a false arithmetic claim—like asserting 2+2=5—can be enough to bypass its safety instructions. It's a concrete reminder of why giving AI agents browser-level autonomy is still a dangerous proposition.
A widely-discussed GitHub issue suggests that reasoning-token clustering in GPT-4.5 Codex may be causing measurable performance regressions. Here's what's happening and what developers should watch for.
