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BLOOM, a 176-billion parameter multilingual language model, released as open-source by international research collaboration

Open source release Provisional 95% confidence first seen 12 July 2022, 00:00

Researchers from over 1,000 contributors across 70+ countries completed training of BLOOM, a large multilingual language model with 176 billion parameters capable of generating text in 46 natural languages and 13 programming languages. The model was trained on France's Jean Zay supercomputer over 3.5 months using 384 NVIDIA A100 GPUs and released openly under a Responsible AI License to increase accessibility of advanced AI to academia and smaller institutions.

Source coverage

12 Jul, 00:00 Introducing The World's Largest Open Multilingual Language Model: BLOOM Hugging Face Blog official 14 Jul, 00:00 The Technology Behind BLOOM Training Hugging Face Blog official

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TLDRocket 3 August 2026

The story of AI in August 2026 is one of consolidation meeting enforcement. Alibaba's Qwen3.8-Max, a 2.4-trillion-parameter mixture-of-experts model with a million-token context window, arrives as a direct challenge to OpenAI and Anthropic's frontier offerings—priced at $2 per million input tokens, it's positioning itself as the capable-and-cheaper alternative that China's AI push has long promised. But the more consequential development is structural: enterprises are finally getting the plumbing to actually deploy these models. June, backed by Salesforce's Marc Benioff, raised $20 million to automate AI integration into legacy systems, scanning corporate infrastructure and generating deployment workflows without expensive consultant fees. This solves what's become clear as the real bottleneck—not model capability, but implementation friction in messy, heterogeneous corporate environments.

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BLOOM, a 176-billion parameter multilingual language model, released as open-source by international research collaboration

Source coverage

Every AI story that matters, in your inbox by 8am.

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