Who's Who of AI

The Distributed AI Research (DAIR) Institute

132 trust @dairinstitute.bsky.social · 5,408 followers
Why they matter

Tracked through public AI activity and peer connections inside the directory.

AI signals
13
past 30d
Sources
11
distinct domains
Discussões
0
past 30d
Latest signal
5d ago
View every signal from The Distributed AI Research (DAIR) Institute →
AI is not inevitable. We DAIR to imagine, build & use AI deliberately. Website: http://dair-institute.org Mastodon: @[email protected] LinkedIn: https://www.linkedin.com/company/dair-institute/
What they're sharing

Articles & links

@timnitgebru.blacksky.app and @emilymbender.bsky.social puncture the latest AI hype, addressing everything from "hacking" to "math breakthroughs" to "superhuman" machines (and possibly break a record for scare quote usage along the way). www.technologyreview.com/2026/09/22/1...

Don’t be fooled by this summer of AI hype technologyreview.com
AI Weekly's analysis →
  • Timnit Gebru and Emily M. Bender argue the summer's AI 'breakthroughs' on hacking, math and superintelligence fall apart under expert scrutiny.
  • They cite cybersecurity experts recasting the OpenAI–Hugging Face incident as OpenAI negligence rather than models 'gone rogue.'
  • NYU mathematician Tristan Buckmaster is quoted saying OpenAI 'stole' work, undercutting claims about the Astra math result.
Read full analysis →
View on Bluesky · ♥ 39 ↻ 12 ↩ 1 · 7 from the directory shared this · 5d ago

@timnitgebru.blacksky.app explains how doomers and their "machine-god narrative" are feeding the hype machine and distracting us from the real harms of AI: www.wired.com/story/one-of...

One of AI’s Fiercest Critics Says All the Doom Talk Is ‘Meant to Distract Us’ wired.com
AI Weekly's analysis →
  • Timnit Gebru told WIRED's Lauren Goode that the 'machine-god narrative' behind AI extinction talk is 'meant to distract us' from present harms.
  • Her list of what she calls truly existential is concrete: autonomous weapons in warfare, data-centre climate damage, and bosses using AI to justify layoffs.
  • Asked to describe step by step how AI would push humanity to extinction, Gebru answered, 'I can't really envision it.'
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View on Bluesky · ♥ 222 ↻ 106 ↩ 4 · 8 from the directory shared this · 16d ago

We are so excited about this resource created with @weandai.bsky.social and the Refugee Law Lab. Check it out and submit a resource you're excited about via airesistlist.org#join

The AI Resist List airesistlist.org
AI Weekly's analysis →
  • Karen Hao launched the AI Resist List on the one-year anniversary of her book Empire of AI as a publicly accessible, community-contributed database.
  • The database organizes entries by 'Pillars of Support' sustaining AI empires, a framework adapted from Choose Democracy's authoritarianism resistance model.
  • Entries span labor actions, legal challenges, and grassroots campaigns across gig work, healthcare, education, and law enforcement sectors.
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View on Bluesky · ♥ 28 ↻ 12 ↩ 0 · 15 from the directory shared this · 128d ago

@timnitgebru.blacksky.app gives a history lesson on AI "existential risk" talk and explains how we don't have to accept Big Tech's utopia or apocalyptic visions for the future: www.bloomberg.com/news/videos/...

bloomberg.com
View on Bluesky · ♥ 65 ↻ 38 ↩ 2 · 2 from the directory shared this · 12d ago
↻ The Distributed AI Research (DAIR) Institute reposted
@ncaaupgip.bsky.social

This is also a really helpful resource from Luddite Labs at @dairinstitute.bsky.social for countering common arguments we hear in the university: labor.dair-institute.org/primers

Luddite Lab labor.dair-institute.org
AI Weekly's analysis →
  • The Luddite Lab, a DAIR project, published a primer titled 'Myths About Generative AI, Productivity, and Job Displacement.'
  • The hub argues AI worker displacement is a market-strategy move by firms seeking cost savings, not evidence of AI matching job quality.
  • The resource hub grew from conversations with unionists in journalism, entertainment, and nursing industries facing automation.
Read full analysis →
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