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.

2,364 searchable experts 2,966 tracked across all sources
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Showing developments with attributable Opportunity & adoption reactions.

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Opportunity & adoption
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The developments commanding sustained expert attention

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

Developing Models & releases Research 1d ago
TENT LLM disaggregated serving paper

TENT: A Declarative Slice Spraying Engine for Performant and Resilient Data Movement in Disaggregated LLM Serving

1 directory member surfaced this signal.

Why this matches Opportunity & adoption reaction 1 attributable expert contribution · AI Firehose
“TENT reshapes language model serving with a new orchestration engine, improving data movement efficiency and resilience in GPU clusters. It achieves 1.36× higher throughput and 26% faster updates, adapting to interconnect variations and cutting operational …” evidence ↗
1 expert 1 community 1 sources clustered
AI Firehose

“TENT reshapes language model serving with a new orchestration engine, improving data movement efficiency and resilience in GPU clusters. It achieves 1.36× higher throughput and 26% faster updates, adapting to interconnect variations and cutting operational …”

Primary source arxiv.org ↗
New Agents & robotics Signal 12h ago

Import AI 466: The bitter lesson for robotics, AIs complete week-long programming tasks; and OpenAI's accidental AI hacker

1 directory member surfaced this signal.

Why this matches Opportunity & adoption reaction 1 attributable expert contribution · Stephan Geering
“Jack Clark on how smarter AI models may unlock robotics "... as we improve the capabilities of standard large-scale proprietary models we might see flow-through benefits to robotics as a natural dividend of increased intelligence. “ importai.substack.com/p/…” evidence ↗
1 expert 1 community 1 sources clustered
Stephan Geering

“Jack Clark on how smarter AI models may unlock robotics "... as we improve the capabilities of standard large-scale proprietary models we might see flow-through benefits to robotics as a natural dividend of increased intelligence. “ importai.substack.com/p/…”

Primary source importai.substack.com ↗
New Agents & robotics Signal 12h ago

Import AI 466: The bitter lesson for robotics, AIs complete week-long programming tasks; and OpenAI's accidental AI hacker

1 directory member surfaced this signal.

Why this matches Opportunity & adoption reaction 1 attributable expert contribution · Stephan Geering
“Jack Clark on how smarter AI models may unlock robotics "... as we improve the capabilities of standard large-scale proprietary models we might see flow-through benefits to robotics as a natural dividend of increased intelligence. “ importai.substack.com/p/…” evidence ↗
1 expert 1 community 1 sources clustered
Stephan Geering

“Jack Clark on how smarter AI models may unlock robotics "... as we improve the capabilities of standard large-scale proprietary models we might see flow-through benefits to robotics as a natural dividend of increased intelligence. “ importai.substack.com/p/…”

Primary source importai.substack.com ↗
Debates gaining attention

What experts are discussing without an anchoring article

2 experts · 17 posts · 4h ago
Pwnallthethings SE Gyges
Matches Opportunity & adoption
“I think there is a bizarre atmosphere at the labs where there is genuine concern that the field is simultaneously under urgent pressure to go faster, and a visceral sense that it is going too fast.…” evidence ↗
Multiple readings Policy & governance · 1 Opportunity & adoption · 1
SE Gyges: here's who signed both the Pacing the Frontier letter released today and the Pause AI letter in 2023 demanding an end to all research for six months also, raw counts for "signed today's letter" and…
SE Gyges: fundamentally this is an anthropic thing that managed to recruit some people from other companies
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3 experts · 3 posts · 20h ago
Emily Riederer christiannolan.bsky.social emilhvitfeldt.bsky.social
Matches Opportunity & adoption
“Throwaway thought, but it’s wildly unhelpful to use AI as a catch all for everything from transformer-based sequence models to agentic coding assistants to LLM generated docs. I suspect sentiment v…” evidence ↗
Emily Riederer: Throwaway thought, but it’s wildly unhelpful to use AI as a catch all for everything from transformer-based sequence models to agentic coding assistants to LLM generated docs. I suspect sentiment v…
emilhvitfeldt.bsky.social: also adding in image generation here!
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