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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Research & technical analysis
1 live reaction map in this view Jump to the evidence ↓
Reaction converging Muse Wonder Research & technical analysis · 3 attributable reactions
Showing signals surfaced by Nathan Lambert ×
New & accelerating

What is moving across the network now

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

New AI field signal Analysis 6h ago
⚡ 5 h early
Meta open closed frontier analysis

Meta shakes up the frontiers, open and closed

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered
Nathan Lambert

“Reflecting on Meta’s big week, where US open-weight models now stand, and the outlook for any meaningful competition to Anthropic & OpenAI’s models. Meta feels like they’re going from strength to strength right now, but can they close the last bit of the ga…”

Primary source interconnects.ai ↗
Established AI field signal Development 4d ago
⚡ 2 h early
Meta Muse Wonder model launch

Muse Wonder

4 experts across 3 network communities independently surfaced this.

4 experts 3 communities 1 sources clustered
Nathan Lambert Tim Kellogg Chris Paxton Sung Kim
How the network is reacting 3 experts are independently emphasizing research & technical analysis.
Reaction converging

Research & technical analysis

3 experts

Evidence, methods and technical implications.

“Looks like Meta is back at the frontier with their latest "Muse Wonder" models. Will be interesting to see independent evaluations / user testing. research.meta.ai/blog/muse-wo...”

2 experts discussed this · 5 posts
Sung Kim: Meta's Muse Wonder Muse Wonder = Muse Wonder Flash Muse Wonder Full = Muse Wonder so confusing... research.meta.ai/blog/muse-wo...
Nafnlaus 🇮🇸 🇺🇦: All for the pun...
Nafnlaus 🇮🇸 🇺🇦: Not sure how much I'd trust that.. my experience with Spark 1.3 and Spark 1.3 contributor has been... subpar vs. what the benchmarks suggest
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Primary source research.meta.ai ↗
Established Models & releases Analysis 3d ago
open models vs frontier labs analysis

Can Open Models Keep Up With OpenAI and Anthropic? | Nathan Lambert

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered
Nathan Lambert

“Very timely appearance on the a16z podcast with Lisha Li, to try to understand how open models play into RSI dynamics, who captures value of open models, wrangling agent swarms, and why I'm building Trillium Labs: youtu.be/BKuK0M6oDTI?...”

Primary source youtu.be ↗
Debates gaining attention

What experts are discussing without an anchoring article

3 experts · 4 posts · 2d ago
Nathan Lambert Ted Underwood Nafnlaus 🇮🇸 🇺🇦
Nathan Lambert: Lots of ecosystem players (Nvidia, Huggingface) vague posting about a lot of releases in the near future. Rumors include thinky, muse spark, and Chinese players who haven’t dropped in a while. Fabl…
Nafnlaus 🇮🇸 🇺🇦: I was just checking the other day - based on typical release cadences, we're due for another Qwen and GLM in mid October to early November. Basically, "the coming weeks", unless their dev cycles go…
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