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The Who's Who of AI

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Established Models & releases Release 15d ago
Reflection Beam 501B model launch

Introducing Beam: Reflection’s 501B open-weight model — Reflection

4 experts across 4 network communities independently surfaced this.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Sung Kim
“Reflection AI's 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…” evidence ↗
4 experts 4 communities 1 sources clustered
How the network is reacting Experts are approaching this through 2 distinct lenses.
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Research & technical analysis

1 expert

Evidence, methods and technical implications.

“Reflection AI's 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…”

Questions & unknowns

1 expert

What remains unresolved or contested.

“Its interesting that Mistral went for 1T while Reflection went for 0.5T. RL is becoming king. I wonder how the pre-training vs RL post-training napkin math looks like reflection.ai/blog/introdu...”

2 experts discussed this · 2 posts
Sung Kim: Reflection AI's 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…
Al Merose: I can’t wait to see how Marin’s model stacks up when it’s fully cooked. It has a similar parameter makeup, and the entire dev process is fully open source. bsky.app/profile/open...
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What experts are discussing without an anchoring article

3 experts · 5 posts · 16d ago
Matches Research & technical analysis
“6 papers to review for ICLR. Fair game. It's a lot, but I understand I have to contribute, sure. But 16 days to do it is just bad. I won't be able to deliver the best review I can do in such a shor…” evidence ↗
Reaction converging Research & technical analysis · 3
David Picard: 6 papers to review for ICLR. Fair game. It's a lot, but I understand I have to contribute, sure. But 16 days to do it is just bad. I won't be able to deliver the best review I can do in such a shor…
Christian Wolf: I have only 3 but now I receive invites from ACs to receive additional papers.... ?!?
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3 experts · 4 posts · 17d ago
Matches Research & technical analysis
“This paper is brilliant! Great conclusion! I think it can be extended in some exciting directions! I bet we could apply SCO here and it would confirm their findings! I also want a Kate-GPT. Should …” evidence ↗
Marc Lanctot: I think @ktlr.bsky.social may have something to add to this discussion! 😅
Marc Lanctot: 🤣😍👍
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