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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 Context & explanation
2 live reaction maps in this view Jump to the evidence ↓
Shared emphasis Ai bookselling amazon Research & technical analysis · 2 attributable reactions Multiple readings The Most Famous AI Writing Tic Is Also the Most Mysterious Research & technical analysis · 2 attributable reactions
Showing signals surfaced by Will Oremus ×
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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.

Accelerating AI field signal Signal 12h ago
⚡ 21 h early

Ai bookselling amazon

4 experts across 2 network communities independently surfaced this.

4 experts 2 communities 1 sources clustered
Will Oremus Kashmir Hill James Grimmelmann Gina Helfrich
Primary source nytimes.com ↗
Established AI field signal Analysis 16d ago
⚡ 20 h early
Atlantic essay AI writing tic

The Most Famous AI Writing Tic Is Also the Most Mysterious

5 experts across 3 network communities independently surfaced this.

5 experts 3 communities 1 sources clustered
Mark Riedl Will Oremus Frank Pasquale Cori Crider René Walter
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.

““One of the main ways that AI models have continued to evolve is by training on text generated by other bots. That AI text is presumably replete with negative parallelism, which further bakes it into the newer model.” www.theatlantic.com/technology/2...”

Context & explanation

1 expert

Background, chronology and why it matters.

“Anyway I hope you read the whole piece if you're interested, because it isn't just an explainer—it's a journey. Gift link: www.theatlantic.com/technology/2...”

3 experts discussed this · 12 posts
Will Oremus: I set out to understand why AIs love negative parallelism. The answer wasn't just surprising—it was illuminating. www.theatlantic.com/technology/2...
Will Oremus: OK the truth is no one knows for sure why AIs love "It's not X—it's Y" but there are some strange and fascinating theories and I think this one is my favorite. www.theatlantic.com/technology/2...
Will Oremus: Anyway I hope you read the whole piece if you're interested, because it isn't just an explainer—it's a journey. Gift link: www.theatlantic.com/technology/2...
Open the full discussion →
Primary source theatlantic.com ↗
Developing AI field signal Analysis 2d 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
Will Oremus 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 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 …
Open the full discussion →
Primary source theatlantic.com ↗
Established AI field signal Development 12d ago
⚡ 23 h early

The Truth About AI’s Water Use

3 directory members surfaced this signal.

3 experts 1 community 1 sources clustered
Will Oremus Damon Beres Matteo Wong

“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…”

Primary source theatlantic.com ↗