Hugging Face: Welcome Beam: a 501B open model you can own, customize, and scale
Open-source alternatives to proprietary AI systems could shift control over large language models from commercial labs to individual organizations and researchers.
Beam is an open-source artificial intelligence model with 501 billion parameters that can process text and maintain context across very long conversations. It is designed for coding and agentic tasks, and is released under a license that allows teams to own, customize, and run it on their own hardware. The model uses a mixture-of-experts architecture, meaning only a portion of its network activates per token, allowing it to run at the speed of a smaller model while retaining the capacity of a larger one. Support for running and customizing Beam is available through established machine learning libraries, with the model released alongside recipes for fine-tuning and reinforcement learning applications.
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The new model aims to handle complex reasoning tasks where current systems often struggle or fail completely.
Also reported by The Verge, Ars Technica, The Decoder and SiliconANGLE
Open-weight models let researchers and companies build AI systems without relying on proprietary providers, potentially accelerating innovation across industries.
Also reported by The Verge, The Decoder, TechCrunch and SiliconANGLE

NVIDIA today released Nemotron 3.5 Super VL, an open 120-billion-parameter model that delivers the fastest task completion and highest accuracy for specialized always-on agents. Joining it are two new edge models: Nemotron 3.5 Bolt 74B-A9B 24GB, optimized to balance intelligence and speed per GB for local agentic workloads, and Nemotron 3.5 Bolt E4B 4GB, optimized for intelligence per GB for fast conversational agents. Super VL and Bolt 74B-A9B are available now, with Bolt E4B coming Oct. 23. T
Also reported by The Decoder, SiliconANGLE and MarkTechPost

OpenAI is racing to finish its next flagship model, which uses the same looped transformer technique as Astra to boost math and coding performance. The tradeoff is that looping makes safety monitoring harder. Microsoft accidentally revealed details about how the technique works on a public page. Whether or not the flagship is ready in time, employees say one or two new models will likely ship by year's end. The article OpenAI will reportedly ship at least one model this year but its fla
The new model joins a competitive landscape of open-source image generators, offering developers another option for customizing visual AI tools.
Also reported by The Decoder

The effort addresses a gap in AI training data for Indian languages, which have historically received far less computational investment than English or Chinese.