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 signals surfaced by Damon Beres ×

The developments commanding sustained expert attention

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

Established AI field signal Analysis 14d ago
⚡ 2 h early
AI makes game cloning easier

AI Made Cloning Games Easier Than Ever

6 experts across 2 network communities independently surfaced this.

6 experts 2 communities 1 sources clustered

“Vibecoding has made it possible to create a cheap rip off of a video game in just a few hours.”

“Someone had a cool idea for a game (Tetris but the whole board rotates) and posted a proof of concept to social media. Immediately someone ripped it off and vibe coded it www.404media.co/ai-made-clon...”

Established Models & releases Analysis 12d ago
⚡ 6 h early
Generative AI engineering disaster essay

Generative AI Is an Engineering Disaster

5 experts across 3 network communities independently surfaced this.

5 experts 3 communities 1 sources clustered

“"AI...making things expensive for the rest of us. Large language models...are so resource-hungry that tech companies...purchasing 70% of the world’s supply of high-end computer memory, causing a shortage." The opposite of what we expect from new technologie…”

“This was written in personal capacity and only speaking on my behalf. Article: www.theatlantic.com/technology/...”

Developing AI field signal Analysis 1d ago
⚡ 4 h early
Atlantic post-AI slop essay

Is This What Comes After AI Slop?

2 experts are actively discussing the implications.

2 experts 1 community 1 sources clustered

“A lot of people are reading AI-generated fiction without realizing it—"stanning" it on TikTok and Instagram, even—though in fairness a lot of people have been doing the same with what might be considered human-written "slop" as well, for quite some time”

2 experts discussed this · 10 posts
Damon Beres: A lot of people are reading AI-generated fiction without realizing it—"stanning" it on TikTok and Instagram, even—though in fairness a lot of people have been doing the same with what might be cons…
Damon Beres: The analysis is pretty damning.
Damon Beres: This makes me fairly depressed, I suppose, for the obvious reasons. I'm also not completely sure I can make up my mind about why I feel worse about someone consuming Daggermouth, or something like …
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Established AI field signal Development 11d ago
⚡ 23 h early

The Truth About AI’s Water Use

3 directory members surfaced this signal.

3 experts 1 community 1 sources clustered

“Do data centers really use exorbitant amounts of water? The answer is "it depends" in about 10 different ways. (Unlike electricity, to which the answer is an unambiguous "yes.") Here's a lucid and helpful explanation: www.theatlantic.com/technology/2... by …”

“Over three years of reporting on data centers' energy consumption/emissions, I've tried to steer clear of water concerns because they are about a zillion times thornier than the already immensely complex topic of energy. But when the going gets tough... www…”

Established Compute & infrastructure Analysis 12d ago
⚡ 6 h early
Atlantic AI water use investigation

The Truth About AI’s Water Use - The Atlantic

2 directory members surfaced this signal.

2 experts 1 community 1 sources clustered

“Water, water, everywhere (and AI isn't drinking all of it, but it is sometimes drinking a lot of it, but actually the combustion plants powering the data centers probably are the bigger problem, and it's all very nuanced) by @matteowong.bsky.social”