
Open source AI is booming, according to Hugging Face CEO Clem Delangue. The company has grown into something like a GitHub for AI in recent years, where AI builders can share and download open models and datasets, now used by roughly half the Fortune 500. Delangue has seen the same story play out again and again: companies start […]
Open source AI is experiencing growth, with Hugging Face functioning as a platform where AI builders can share and download open models and datasets. According to Hugging Face's CEO, companies typically begin with frontier APIs but shift toward open source models as they scale due to cost pressures. The debate between open and closed source AI matters because of concerns that a small number of large companies could end up controlling the entire field, and because open, transparent AI is seen as particularly important for sensitive applications like robotics.

Following significant backlash, Meta is turning off the feature it announced this week that let users generate AI images based on content from public Instagram accounts just by tagging them. The feature, as originally set up, meant that content from any public Instagram account could be used in AI creations without the account owner's permission. "Earlier this week, we announced that one way for people to generate images in Meta AI is by @-mentioning public Instagram accounts t

Meta told Dylan Byers, of Puck News, that it had nixed the feature after backlash from its user base.

In this tutorial, we build an autonomous data science agent around DeepAnalyze-8B and run it. We begin by preparing a stable runtime, installing the required machine-learning dependencies, and loading the DeepAnalyze tokenizer and model in 4-bit mode to keep the workflow practical on limited GPU memory. We then create a sandboxed execution environment that allows the model to generate Python code, execute it safely, observe the results, and continue its analysis in an agentic loop. By the end o
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