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
Filter the conversation Who is saying what?

Combine a professional role with a reaction lens. Both must match the same attributed contribution.

Clear all
Active evidence filter

Showing developments with attributable Research & technical analysis reactions.

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.

Showing signals surfaced by Will Oremus ×

The questions experts are actively pulling apart

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

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.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Frank Pasquale
““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...” evidence ↗
5 experts 3 communities 1 sources clustered
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 →