Expert attention map

The Who's Who of AI

What credible people across AI noticed, why it matters, and where the field is converging or disagreeing.

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Showing developments with attributable Questions & unknowns reactions.

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Questions & unknowns Research & technical analysis
2 live reaction maps in this view Jump to the evidence ↓
Reaction converging arXiv.org e-Print archive Research & technical analysis · 6 attributable reactions Multiple readings Introducing Beam: Reflection’s 501B open-weight model — Reflection Research & technical analysis · 2 attributable reactions
Showing signals surfaced by Ramon Astudillo ×
Debated

The questions experts are actively pulling apart

One card per development. Sources are clustered; reaction bundles describe these posts, never the people behind them.

Established AI field signal Resource 11d ago
⚡ 87 h early
arxiv preprint archive resource

arXiv.org e-Print archive

8 experts across 3 network communities independently surfaced this.

Why this matches Questions & unknowns reaction 1 attributable expert contribution · Zachary Lipton
“Just me or does @ChatGPT search the most random websites no matter the query? If I ask for the best bagel, it will “Searching ” + {https://t.co/vEQ6I1WmCF, https://t.co/5JR1Db9NqB, …}” evidence ↗
8 experts 3 communities 1 sources clustered
Zachary Lipton Eugene Vinitsky Ted Underwood Ramon Astudillo Alison Gopnik Ben Schmidt Mandana Samiei Federico Pianzola
How the network is reacting 5 experts are independently emphasizing research & technical analysis.
Reaction converging

Research & technical analysis

5 experts

Evidence, methods and technical implications.

“arxiv.org, doi.org, biorxiv.org, medrxiv.org, pubmed.ncbi.nlm.nih.gov, nature.com, science.org, pnas.org, semanticscholar.org, openreview.net”

Questions & unknowns

1 expert

What remains unresolved or contested.

“Just me or does @ChatGPT search the most random websites no matter the query? If I ask for the best bagel, it will “Searching ” + {https://t.co/vEQ6I1WmCF, https://t.co/5JR1Db9NqB, …}”

4 experts discussed this · 6 posts
Ted Underwood: I just eliminated 22 tabs by doing this: osascript -e 'tell application "Google Chrome" to get URL of every tab of front window' | tr ',' '\n' | grep arxiv.org list of urls -> LLM -> annotated read…
Ted Underwood: did I come up with that idea by myself? no I did not
Karandeep Singh: Any suggestions for the other 478 tabs?
Open the full discussion →
Primary source arxiv.org ↗
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 Questions & unknowns reaction 1 attributable expert contribution · Ramon Astudillo
“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...” evidence ↗
4 experts 4 communities 1 sources clustered
Marc Lanctot Ramon Astudillo Tim Kellogg Sung Kim
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

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...
Open the full discussion →
Primary source reflection.ai ↗