Reflection AI has unveiled Beam, a large language model it says will ship with open weights, in a post on its own blog dated October 5, 2026. The model is aimed at coding, reasoning, and agent work.
Reflection AI is officially unveiling Beam, its first frontier, open-weight AI model. The two-year-old, Brooklyn-based startup claims Beam matches the performance of leading Chinese open models on ...
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Reflection CEO Misha Laskin on launch of new AI model Beam, open-weight vs. closed model debate
Misha Laskin, Reflection co-founder and CEO, joins 'Squawk Box' to discuss the launch of its new open-weight AI model Beam, state of AI competition, open-weight vs. closed models, U.S.-China AI arms ...
Reflection's chief technology officer explains how Beam was trained to finish tasks in fewer tokens, a day after Meta ...
At the AI Edge Summit, Reflection CEO Misha Laskin explained the role of open models in a maturing AI ecosystem.
Reflection AI, a startup founded just last year by two former Google DeepMind researchers, has raised $2 billion at an $8 billion valuation, a whopping 15x leap from its $545 million valuation just ...
Reflection’s business strategy rests on what it calls an “AI factory” model. The idea is to combine its open weights with a client’s proprietary data and advanced Nvidia GPU compute. The intended ...
The open-source startup Reflection AI released its first open-weight model Monday, stating it rivals leading open technologies made in the U.S. and China. Reflection AI, which has the backing of tech ...
Reflection AI's Beam is a 501B open-weight MoE with 23B active parameters, 1M context, and Apache 2.0 weights.
Update — Monday, Sept. 9, 2024 at 11:02 am ET: Third-party evaluations have failed to reproduce Reflection 70B's performance measures as shared below originally by HyperWrite/OthersideAI co-founder ...
A new multi-LLM framework that lets three AI models iteratively refine scoring rubrics before grading reached an average Quadratic Weighted Kappa of 0.71 on the ASAP essay dataset, peaking at 0.86.
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