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Reflection AI unveils open-source 501B parameter MoE model Beam · 4 sources tracked

Reflection AI has launched Beam, its first open-source model. This Mixture-of-Experts (MoE) model boasts 501 billion parameters and was trained using 100 million reinforcement learning rollouts across 10,500 units. The introduction of Beam marks a significant step for Reflection AI in the open-source AI landscape. AI

IMPACT This open-source MoE model could accelerate research and development in large language models.

RANK_REASON Frontier-lab model release with system card.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 4 sources. How we write summaries →

Reflection AI unveils open-source 501B parameter MoE model Beam · 4 sources tracked

How we ranked this

Signal score
6 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Frontier Release
Frontier-lab model release with system card.
Source corroboration
4 independent sources
Strong cross-source corroboration — multiple independent publishers covered this within the clustering window.
Topics
model release, other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

Full methodology in our editorial standards.

COVERAGE [4]

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  4. Mastodon — mastodon.social TIER_1 Español(ES) · [email protected] ·

    Reflection AI presented Beam, its first open model: a 501 billion parameter MoE trained with 100 million RL rollouts in 10.500 # ai # ma

    Reflection AI presentó Beam, su primer modelo abierto: un MoE de 501.000 millones de parámetros entrenado con 100 millones de rollouts de RL en 10.500 # ai # machinelearning # programming # tutorial # software # coding # development # engineering # inclusive # community Reflectio…