Artificial Intelligence

AI labs are deliberately trimming factual knowledge from their models to gain pure reasoning power. GLM-5.2, Qwen3.5, and DeepSeek V4-Flash show the pattern with concrete numbers, and the trend points toward running a frontier model on a single consumer GPU.

William & Mary launched a formal minor combining computer science with applied philosophy, requiring students from both departments to take courses together. The program joins existing initiatives like Stanford’s Embedded EthiCS and MIT’s SERC, at a time of growing demand for professionals who can audit algorithmic bias.

Cerebras and OpenAI introduced Ultrafast Mode, a new inference layer that lets GPT-5.6 Sol run at up to 750 output tokens per second. On Humanity’s Last Exam, the model solved 2,500 questions in 11 hours and 11 minutes, almost seven times faster than Claude Fable 5.

A group of researchers published Stolen Thoughts, a technique that decodes the encrypted reasoning of Claude, GPT, and Gemini by reinjecting the signed block into a weaker, jailbroken model. After analyzing 6,708 public agent traces on GitHub and Hugging Face, they found 704 real secrets, including 62 API keys and 33 passwords.

AMD confirmed an alliance with a science ministry to develop an open-weight artificial intelligence ecosystem. The company already publishes its own open models, OLMo and Instella, trained on its Instinct MI300X GPUs with the ROCm stack.

Docker unveiled Sandboxes, a tool that runs code agents like Claude Code and Copilot CLI inside disposable microVMs isolated from the host. Each sandbox mounts only the project’s workspace, letting agents work autonomously without constant permission prompts.

An engineer built ChipTycoon, an interactive low-poly simulation that teaches how a chip is manufactured from start to finish. The trick: he used Claude Code to research the topic, verify the data, and generate the simulation, instead of reading scattered documentation.

OpenChamber is an open source, agentic development environment that lets you run the same task on up to five AI models at once, merging or comparing results. It runs on the OpenCode SDK and works from desktop, browser, phone, or directly from your code editor, without sending your code to third-party servers.

The UN created its first AI scientific panel within the Global Digital Compact, modeled on the IPCC. Its first warning is direct: the window to regulate artificial intelligence is closing while models advance faster than laws.

Google DeepMind published its WeatherNext results in Nature, an AI model that predicts the trajectory, intensity, and wind structure of tropical cyclones with a full extra day of lead time. The company has already released the code for WeatherNext 2 and WeatherNext Cyclones to the scientific community.