
OpenAI is releasing some sort of device related to its AI-powered coding tool, Codex, on July 15th. In a video posted to X on Monday, OpenAI shows a square-shaped device with several buttons, alongside the caption, "Your favorite Codex shortcuts are getting an upgrade." This isn't the mysterious AI-powered device OpenAI is working on with former Apple designer Jony Ive, however. As shown in the teaser, OpenAI is launching the device in partnership with Work Louder, a company th
OpenAI is releasing a square-shaped device designed to work with Codex, its AI-powered coding tool, in partnership with a company that makes mechanical keyboards and macro pads. The device appears similar to an existing macro pad model that features mechanical switches, a joystick, and a touch sensor, allowing users to assign shortcuts and custom actions to its toggles. The teaser video suggests the device will provide upgraded shortcuts for Codex users, though neither company has released additional details about the collaboration.

Wix-owned vibe coding platform Base44 has started rolling out its own AI model — with hopes that it will eventually outperform frontier models.

DiScoFormer is a transformer model that estimates both the density and score of a data distribution in a single forward pass without requiring retraining for new distributions. The density describes where data points cluster, while the score, the gradient of log-density, points toward more probable regions and is used in diffusion-based generative models, Bayesian sampling, and scientific simulations. Existing methods force a trade-off: classical kernel density estimation works on any distribution but loses accuracy in high dimensions, while neural score-matching models stay accurate in high dimensions but must be retrained for each new distribution. DiScoFormer significantly outperforms kernel density estimation, cutting score error by 6.5 times and density error by more than 37 times in 100 dimensions, while generalizing to distributions with shapes and complexities not seen during training.

China's Zhipu AI (Z.ai) released its open-weight GLM-5.2, and some researchers have claimed that it matches Mythos in certain bug-finding and cybersecurity scenarios. While GLM lags behind models from Anthropic and OpenAI in other, more general tasks, it seems that China has dramatically reduced the gap in the capabilities between its models and those of the US. This level of advancement is particularly concerning to the US government, which has worked to restrict China's acces
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