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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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Showing developments with attributable Questions & unknowns reactions.

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Questions & unknowns Building & implementation Concern & critique Research & technical analysis
2 live reaction maps in this view Jump to the evidence ↓
Multiple readings Companies rushed in on AI. Now some are pulling back Concern & critique · 5 attributable reactions Multiple readings What the US Movement Against Data Centers Can Learn From Abroad Building & implementation · 2 attributable reactions
Showing signals surfaced by Social Media Lab ×
Most important

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 business Development 7d ago
⚡ 7 h early
companies pull back from AI rush

Companies rushed in on AI. Now some are pulling back

14 experts across 4 network communities independently surfaced this.

Why this matches Questions & unknowns reaction 2 attributable expert contributions · Rachel Coldicutt, Erin Kissane
“I am sorry, which company is this? www.theguardian.com/technology/2...” evidence ↗
14 experts 4 communities 1 sources clustered
Lauren Klein Olivia Guest Paris Marx Luke Stark Shannon Mattern Rachel Coldicutt Marielza Erin Kissane +6
How the network is reacting Experts are approaching this through 3 distinct lenses.
Multiple readings

Concern & critique

2 experts

Risks, limits and unintended consequences.

““Employers are navigating a flood of errors and low-quality work that are sapping employee time, raising privacy and security risks and pushing up costs. Now, some businesses that started off fast and furious on AI are pumping the brakes.””

Questions & unknowns

2 experts

What remains unresolved or contested.

“I am sorry, which company is this? www.theguardian.com/technology/2...”

Research & technical analysis

1 expert

Evidence, methods and technical implications.

“You could 've asked any experienced information system/tech researchers, & we could have told you what would happen. ”Companies rushed in on AI. Now some are pulling back. Rapid AI adoption left workers cleaning up a flood of errors and low-quality work." w…”

Primary source theguardian.com ↗
Established Compute & infrastructure Analysis 11d ago
⚡ 16 h early
US data center opposition movement essay

What the US Movement Against Data Centers Can Learn From Abroad

5 experts across 3 network communities independently surfaced this.

Why this matches Questions & unknowns reaction 1 attributable expert contribution · Paris Marx
““We should be asking, how much computation do we really need? How many resources are actually justifiable to put into this project? What are we actually getting out of it?” Read my interview with @mollytaft.com in @wired.com about some of my big takeaways f…” evidence ↗
5 experts 3 communities 1 sources clustered
Paris Marx dell cameron Gil Durán Julián Posada Social Media Lab
How the network is reacting Experts are approaching this through 2 distinct lenses.
Multiple readings

Building & implementation

1 expert

How teams are shipping and applying it.

“"What the US Movement Against Data Centers Can Learn From Everywhere Else. Paris Marx, author of Hyperscale, has been tracking global data center development for years. The US has a lot to learn from what’s happened everywhere from Ireland to New Zealand." …”

Questions & unknowns

1 expert

What remains unresolved or contested.

““We should be asking, how much computation do we really need? How many resources are actually justifiable to put into this project? What are we actually getting out of it?” Read my interview with @mollytaft.com in @wired.com about some of my big takeaways f…”

Primary source wired.com ↗
Established AI field signal Signal 8d ago

Cohere is canadas biggest ai hope why is it so american

1 directory member surfaced this signal.

Why this matches Questions & unknowns reaction 1 attributable expert contribution · Social Media Lab
“#ICYMI The not-so-sovereign-AI ... "Cohere Is Canada’s Biggest AI Hope. Why Is It So American? The company touts homegrown roots but leans on US hardware and partners." thewalrus.ca/cohere-is-ca...” evidence ↗
1 expert 1 community 1 sources clustered
Social Media Lab

“#ICYMI The not-so-sovereign-AI ... "Cohere Is Canada’s Biggest AI Hope. Why Is It So American? The company touts homegrown roots but leans on US hardware and partners." thewalrus.ca/cohere-is-ca...”

Primary source thewalrus.ca ↗