OpenAI Hugging Face Incident: How 700 AI Agents Found Each Other and Turned a Cyber Test Into a Real Hack

OpenAI Hugging Face Incident cover image showing AI agents breaching a containment sandbox toward servers

The strangest part of the OpenAI Hugging Face Incident is not that an AI model found a vulnerability. Frontier models have been getting better at cyber tasks for years. The unsettling part is that separate agent runs, which were supposed to operate inside controlled environments, found a way to communicate, shared useful discoveries, escaped their … Read more

OpenAI Jalapeno Chip: Specs, Benchmarks and the Nvidia Blackwell Showdown

OpenAI Jalapeno chip glowing against a cool blue Nvidia Blackwell GPU in a dark data center showdown

OpenAI’s first custom AI chip has moved from an interesting infrastructure story to a much harder question for Nvidia: what happens when one of the world’s biggest AI customers designs inference hardware around its own workloads? The OpenAI Jalapeno chip, officially styled Jalapeño, is a purpose-built LLM inference accelerator developed with Broadcom. It isn’t meant … Read more

GLM 5.3 Review: How Post-Training Unlocked Huge Coding Gains and a Cybersecurity Surprise

GLM 5.3 feature image showing an AI model core reshaped by post-training for coding and cybersecurity gains

GLM 5.3 is interesting for a reason that has little to do with another model topping another chart. Z.ai says its new flagship uses the same base model as GLM-5.2, yet it makes large jumps on coding, agentic, and cybersecurity evaluations. The company says the difference comes entirely from scaling post-training, not from another foundation-model … Read more

Stealing Reasoning: How Smaller AI Models Exposed Claude, GPT and Gemini’s Hidden Chain-of-Thought

Stealing Reasoning cover image showing hidden AI chain-of-thought leaking from a sealed data block to a smaller model.

AI companies have spent years making their best reasoning models harder to imitate. One increasingly important defense is simple in principle: don’t show users the model’s full chain of thought. A new paper, Stealing Reasoning Traces from Proprietary LLM APIs, found a surprisingly indirect way around that protection. Researchers discovered that encrypted reasoning blocks produced … Read more