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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New Network reaction maps

See how experts are reacting—not just what they shared.

Posts are grouped by conversation and tone. Select a lens to filter the stream; these are never permanent labels on people.

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Showing signals surfaced by Gergely Orosz ×
Most important

The developments commanding sustained expert attention

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

Developing Compute & infrastructure Analysis 1d ago
Meta infrastructure team culture critique

Meta’s Infrastructure Team Needs A Culture Reset

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered
Gergely Orosz

“Last month in @pragmaticengineer.com about how Meta is destroying its engineering culture: newsletter.pragmaticengineer.com/p/why-is-met... Last week in Semi Analysis on how Meta's infra org needs a reset: newsletter.semianalysis.com/p/metas-infr...”

Primary source newsletter.semianalysis.com ↗
Established Models & releases Resource 15d ago
OpenAI Codex goals feature

Using Goals in Codex

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered
Gergely Orosz

“The amount of AI writing on OpenAI's docs makes me sick. Filler sentences for nothing. Mannerisms and phrases humans would not write. Has a human even read this? And all of this will change how other docs are written, and how we all talk-for the worse IMO. …”

Primary source developers.openai.com ↗
Established Models & releases Resource 13d ago
context engineering Dex Horthy podcast

Context engineering with Dex Horthy

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered
Gergely Orosz

“• Spotify: open.spotify.com/episode/7ahj... • Apple: podcasts.apple.com/us/podcast/c... Brought to you by: • Antithesis — verify your system’s correctness without human review or traditional integration tests – and avoid bugs or outages. antithesis.com/prag…”

Primary source podcasts.apple.com ↗
Established AI field signal Resource 13d ago
context engineering tutorial video

Context engineering with Dex Horthy

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered
Gergely Orosz

“Knowing how LLM contexts work and how to work around context limitations – aka “context engineering” – is becoming more important for software engineers working with LLMs. Dex Horthy coined the term "context engineering," and shares practical details on it:…”

Primary source youtube.com ↗
Established AI field signal Resource 13d ago
context engineering Dex Horthy podcast

Context engineering with Dex Horthy

1 directory member surfaced this signal.

1 expert 1 community 1 sources clustered
Gergely Orosz

“• Spotify: open.spotify.com/episode/7ahj... • Apple: podcasts.apple.com/us/podcast/c... Brought to you by: • Antithesis — verify your system’s correctness without human review or traditional integration tests – and avoid bugs or outages. antithesis.com/prag…”

Primary source open.spotify.com ↗
Debates gaining attention

What experts are discussing without an anchoring article

3 experts · 8 posts · 15d ago
Gergely Orosz dan austin
Multiple readings Concern & critique · 1 Research & technical analysis · 1
Gergely Orosz: With every new model, I put it to the test in writing - to see if I could do what I do - I give it a bunch of interviews I did on a topic, and ask to write an article in my style. The models fail s…
Gergely Orosz: If there is "understanding" it is superficial. I do find it useful to eg generate ideas, check if I missed something etc, but I still cannot find "thinking" in any domain I know very well... and a …
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