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The Who's Who of AI

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Concern & critique Opportunity & adoption Research & technical analysis
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Multiple readings Critical AI Concern & critique · 3 attributable reactions
Showing signals surfaced by Anthony Moser ×
Debated

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 3d ago
⚡ 793 h early
critical AI essay olivia science

Critical AI

5 experts across 3 network communities independently surfaced this.

Why this matches Opportunity & adoption reaction 1 attributable expert contribution · Olivia Guest
“Thanks so much to my wonderful colleagues Marieke & @marentierra.bsky.social for setting up at @samiraibnelkaid.bsky.social's amazing festival: reject AI instead reclaim the future! 🫚 💞 💥 Posters are here: zenodo.org/records/1736... & you can read more here…” evidence ↗
5 experts 3 communities 1 sources clustered
Iris van Rooij Olivia Guest Anthony Moser Pavel Jed Brown
How the network is reacting Experts are approaching this through 3 distinct lenses.
Multiple readings

Concern & critique

1 expert

Risks, limits and unintended consequences.

“"AI literacy" is like "cigarette literacy" explaining how to light up with swagger. What we need is critical AI literacy (see olivia.science/ai/ from @olivia.science), which is a completely different curriculum. One that is liberating.”

Research & technical analysis

1 expert

Evidence, methods and technical implications.

“@olivia.science of course has a great collection including a lot of her own research olivia.science/ai/”

Opportunity & adoption

1 expert

New capabilities, benefits and practical upside.

“Thanks so much to my wonderful colleagues Marieke & @marentierra.bsky.social for setting up at @samiraibnelkaid.bsky.social's amazing festival: reject AI instead reclaim the future! 🫚 💞 💥 Posters are here: zenodo.org/records/1736... & you can read more here…”

2 experts discussed this · 23 posts
Olivia Guest: There's no engineering reason for human shaped robots other than that one actually. And there's so many engineering reasons against. The sooner people realise it has always been true & sexist (oliv…
Olivia Guest: Also see: bsky.app/profile/oliv... 2/
Thomas Dietterich: My colleague Jonathan Hurst (at Agility Robotics) has a long list of reasons why humanoid robots make sense. For years he was opposed to humanoids, but he found that for lifting and carrying loads,…
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Primary source olivia.science ↗
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What experts are discussing without an anchoring article

6 experts · 37 posts · 13d ago
Anthony Moser Amanda Tepski Jess Miers 🦝🦞 Jed Brown Amy Hoy Singularity's Bounty e/cc
Matches Opportunity & adoption
“are you a mac or windows user? it would be pretty easy to create a script that would do this reliably. i’d be happy to help i’m surprised the llms worked as well as they did for you for this task, …” evidence ↗
Reaction converging Policy & governance · 4 Opportunity & adoption · 1
Amanda Tepski: In rebuttal to “legal? ai is getting there” I offer www.damiencharlotin.com/hallucinatio...
Jed Brown: And beyond law, is a 67% error rate good for medicine? Is it normal medical practice to suppress data misconduct and 10 independent whistleblowers? It's only "getting there" when conditions to bypa…
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4 experts · 19 posts · 5d ago
Olivia Guest Hagen Blix Anthony Moser Abstract Tesseract
Matches Opportunity & adoption
“5. many people use LLMs to do things, either voluntarily or because their school or job is making them. 6. some people find LLMs useful” evidence ↗
Anthony Moser: as a hater let me acknowledge something ai is good at: producing irritating discourse at scale this is usually because, like "ai" itself, people are talking about different things like they are one…
Anthony Moser: 1. most people do not know how LLMs work, or what inherent limitations might exist as a result of that approach 2. companies that make LLMs describe what they can do and how they work in misleading…
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4 experts · 12 posts · 12d ago
Emily M. Bender Alex Hanna Reece Anthony Moser
Matches Opportunity & adoption
“So I think we can deduce two things about Nate Silver's work here: 1) He doesn't remember that you have to read the whole book before asserting what's in it or is happy to just cherry pick paragrap…” evidence ↗
Emily M. Bender: Lol -- over on X Nate Silver is apparently holding me up as an example of how "the Left" is anti-AI regulation, and proving his point by posting screen caps of ch 7 of The AI Con, where @alexhanna.…
Emily M. Bender: He screen caps the section called "Enforcing existing regulation" on p.174 and then "Keep the next bubble from growing throug collective action and comedy" on p.195. Here are the section headings f…
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