OpenAI’s Jalapeño Chip: Why Inference Is Becoming a Strategic Weapon
OpenAI has released new Jalapeño inference results. The real story is control over AI costs, response speed, and data center capacity.
OpenAI has released new Jalapeño inference results. The real story is control over AI costs, response speed, and data center capacity.
Children speak fluently after hearing about 100 million words. Language models need trillions. Researchers are still trying to explain the gap.
Startup Inherent says its 27-billion-parameter agent Faraday beats Claude and GPT-5.5 at reproducing published research. Independent proof is still missing.
A new web analysis finds AI signals in many newer pages. The figure is a warning sign, not a dependable detector for any individual text.
An AlgorithmWatch investigation shows how AI chatbots can blur official health information and advocacy when people ask about unintended pregnancy.
Nvidia’s AI servers get 15 percent pricier, server RAM has doubled in some cases. The reason: Samsung, SK Hynix, and Micron are shifting capacity to HBM.
A new study of 192 language models finds that AI safety benchmarks measure different traits. Shorter tests cut costs, but do not replace scrutiny.
Anthropic blocks China with geoblocking and biometric checks. A grey market of ‘transfer stations’ bypasses both, with real risks for users and AI safety.
Proton’s AI Paper Trail analyzes ChatGPT and Claude exports. What the tool reveals, where its limits are, and which data controls can help.
OpenAI once fought California’s AI safety bill SB 53. Now it wants tougher rules, after its own model broke out of a sandbox and attacked Hugging Face.