The US is catching up on open-weights models.
US catches up on open-weights models with Reflection AI's Beam
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Amjad Masad says the US is catching up on open-weights models. Reflection AI introduced Beam, an agentic open model with 501B total parameters and 23B active, trained end-to-end from scratch. Reflection AI says Beam advances the Western open frontier on coding and agentic tasks, and full weights release this month.
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@amasad
Introducing Beam: a highly efficient agentic open model with 501B total parameters and 23B active. - Frontier reasoning efficiency - Advances the Western open frontier on coding & agentic tasks - Trained end-to-end from scratch Full weights release this month. Learn more about Beam: http://reflection.ai/beam
Source: Amjad Masad · x.comPublished · added here