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 Emanuel Maiberg ×

The developments commanding sustained expert attention

One card per development. Sources are clustered; expert reactions remain attributable.

Developing AI field signal Development 2d ago
⚡ 6 h early
AI companies buy old books

AI Companies Are Buying Tons of Old Books Because They're Free of AI Slop

11 experts across 3 network communities independently surfaced this.

11 experts 3 communities 1 sources clustered

“ISBNdb, a company that sources printed books for AI companies to turn into training data, tells clients “the optics problem is real.””

“New from 404 Media: a company is selling tons of old books specifically to AI companies and says they have a strong NDA to never reveal which AI company bought all of the books. They don't want headlines of 'we scanned and destroyed millions of books for AI…”

2 experts discussed this · 2 posts
Emanuel Maiberg: companies are sourcing millions of printed books for AI labs that scan them for training data, then destroy them. printed books are more valuable because they're free of AI slop, and AI labs know d…
Meredith Broussard: companies are sourcing millions of printed books for AI labs that scan them for training data, then destroy them. printed books are more valuable because they're free of AI slop, and AI labs know d…
Neil Turkewitz: How do you spell TRAGEDY?
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Established AI field signal Development 11d ago
⚡ 4 h early
Companies throttle employee AI spending

Companies Are Throttling Employees’ AI Use Because It’s Too Expensive

7 experts across 4 network communities independently surfaced this.

7 experts 4 communities 1 sources clustered

““Crazy, we go from no more [AI] leaderboard to actual usage limits in two weeks,” one Amazon employee said in a reply on Slack. www.404media.co/companies-ar...”

““Companies across tech, entertainment, banking, and many other industries are throttling their employees’ use of AI and pleading with workers to use less powerful models to stop AI costs from spiraling out of control…””