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.

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The developments commanding sustained expert attention

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Established AI field signal Signal 13d ago
⚡ 22 h early

Harvard ai faculty

13 experts across 3 network communities independently surfaced this.

Why this matches Markets & investment reaction 1 attributable expert contribution · Hagen Blix
“Obviously, it's the business school. Can I return to my theme of "AI bullshit reveals that everything was bullshit all along"?” evidence ↗
13 experts 3 communities 1 sources clustered

What experts are discussing without an anchoring article

2 experts · 12 posts · 15d ago
Matches Markets & investment
“I take that as good news on the capital-intensive part! But I’m more worried about the cost of producing new models than I am about cost to customers.” evidence ↗
Multiple readings Research & technical analysis · 1 Opportunity & adoption · 1
Ted Underwood: Both phases of this are worth reading: the crisis, and recovery. (A structure that reminds me of a famous similar crisis in JS Mill's Autobiography.) Personally, not v worried that human beings wil…
Ted Underwood: I admittedly do a lot of manual data labeling (RA work). But I also get to resolve disputes between different models and force them to cooperate, which is PI / assoc dean territory!
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