Letting LLMs operate desktop GUIs: useful autonomy or future UX nightmare?

Small experiment: I wired a local model + Vision to press real Mac buttons from natural language. Great for “batch rename, zip, upload” chores; terrifying if the model mis-locates a destructive button. Open questions I’m hitting: How do we sandbox

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NVIDIA is working with companies worldwide to build out AI factories — speeding the training and deployment of next-generation AI applications that use the latest advancements in training and inference. The NVIDIA Blackwell architecture is built to meet the heightened

Humans learn the norms, values and behaviors of society from each other — and Bernt Børnich, founder and CEO of 1X Technologies, thinks robots should learn like this, too. “For robots to be truly intelligent and show nuances like being

Paper: https://arxiv.org/pdf/2506.00794 submitted by /u/MetaKnowing [link] [comments]

submitted by /u/wiredmagazine [link] [comments]

I created two great community resources using NotebookLM. One for the City of Palm Bay, FL, and another for Brevard County, FL. (links to the notebooks) Each notebook has the complete agenda and supporting documents for all of the meetings

4:2:2 cameras — capable of capturing double the color information compared with most standard cameras — are becoming widely available for consumers. At the same time, generative AI video models are rapidly increasing in functionality and quality, making new tools

submitted by /u/Tiny-Independent273 [link] [comments]

I developed a macOS app called anyedit, which leverages AI (CoreML + Vision Framework) to: Analyze music beats and rhythms precisely Identify and classify engaging scenes in video automatically Generate instant video edits synced perfectly to audio Fully local (no