B! 🐝 Cavello (they/them)

Why they matter

Critic with public evidence across Culture, work & education.

AI signals
101
past 30d
Sources
24
distinct domains
Discussions
82
past 30d
Latest signal
5d ago
View every signal from B! 🐝 Cavello (they/them) β†’
activist, aspiring-polymath, problematic feminist working to better this world @[email protected] avatar: Portrait of B against colorful background banner: Collage of creative commons illustrations

Articles & links

Maybe you mean this from 2023? www.nytimes.com/2026/06/30/o... "[LLMs] are not reasoning machines. [...] It’s not just that they don’t test their outputs to make sure they’re correct or logical, or that they fail to do so in certain instances. They can’t, and they’ll never be …

Opinion | Why A.I. Won’t Steal All Our Jobs - The New York Times nytimes.com
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View on Bluesky Β· β™₯ 1 ↻ 0 ↩ 1 Β· 12 from the directory shared this Β· 111d ago
↻ B! 🐝 Cavello (they/them) reposted
@fleemanator.bsky.social

β€œThey are emailing us specifically because they have a tech problem, don’t know where to turn, and ChatGPT is telling them to contact us’ | via 404 Media www.404media.co/chatgpt-keep...

ChatGPT Keeps Telling People 404 Media Can Solve Their Tech Support Problems 404media.co
AI Weekly's analysis β†’
  • ChatGPT has been directing users with routine tech complaints to email 404 Media founder Jason Koebler, often writing the pitch for them.
  • Senders include a Russian man with a banned Instagram account, an Italian painter chasing Meta, and a Verizon customer wanting an investigation.
  • The chatbot has produced full evidence dossiers and press releases, including one titled 'Texas entrepreneur seeks answers from OpenAI.'
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↻ B! 🐝 Cavello (they/them) reposted
@hwaight.bsky.social

I’m excited to share a new paper in Nature that shows how large language models launder the strategic rhetoric of authoritarian states. Paper here: www.nature.com/articles/s41.... A thread.

State media control influences large language models | Nature nature.com
AI Weekly's analysis β†’
  • Chinese state-media content appears in typical LLM training sets at roughly 41 times the rate of Chinese-language Wikipedia.
  • Across 37 countries, models prompted in the local language produce more regime-favorable responses in countries with lower press freedom.
  • A pretraining experiment with just 6,400 state-scripted documents pushed an open-weight model to pro-government responses nearly 80 percent of the time.
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↻ B! 🐝 Cavello (they/them) reposted
Anna Mills @annamillsoer.bsky.social

Even if you're not aligned with everything in the manifesto, the AI Resist List is a great reference if you want to encourage students to think about shaping AI futures. For example, here are projects advocating for worker rights: airesistlist.org#pillar-labor

The AI Resist List airesistlist.org
AI Weekly's analysis β†’
  • 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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Cool resource from @emilymbender.bsky.social and @nannainie.bsky.social for folks looking to use more precise and less anthropomorphic language. This piece includes a bunch of examples for substitutions to support clearer communication! buttondown.com/maiht3k/arch...

How to talk about buttondown.com
AI Weekly's analysis β†’
  • The guide covers six language categories: cognition, emotion, communication, agency, human-role analogies, and biological metaphors.
  • Proposed substitutions include 'probabilistic automation' for 'artificial intelligence' and 'conversation simulator' for 'chatbot.'
  • Rephrasing 'ChatGPT assisted students' as 'the students used ChatGPT' is given as an example of restoring human accountability.
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View on Bluesky Β· β™₯ 44 ↻ 14 ↩ 1 Β· 13 from the directory shared this Β· 132d ago
↻ B! 🐝 Cavello (they/them) reposted
Alondra Nelson @alondra.bsky.social

Nice overview of our open-access book, Auditing AI in @the-renovator.bsky.social www.democracyrenovator.com/p/july-13-te... mitpress.mit.edu/978026205172...

mitpress.mit.edu View on Bluesky β†’

Recent commentary

I hope a bunch of the freshly minted AI bajillionaires transfer their wealth to entities like the Internet Archive, Wikipedia, and Common Crawl, upon whose existence so many of their efforts have depended

View on Bluesky Β· β™₯ 7 ↻ 2 ↩ 0 Β· 35d ago

ECONOMISTS, help me understand, please πŸ™ I remain pretty skeptical about a lot of β€œAI will produce NEW jobsβ€œ claims because people talk about the demand for new things, but to me what makes something a JOB is that people are willing and able to pay for it. Is that an accurate framing?

View on Bluesky Β· β™₯ 4 ↻ 1 ↩ 1 Β· 28d ago

AI fairness folks, help me out? I know that back circa... 2018 or so, there were some handy interactives that had demonstrations of how different definitions of fairness could lead to different model behavior. I'm struggling to track down the links now. Can you point me?

View on Bluesky Β· β™₯ 0 ↻ 0 ↩ 1 Β· 172d ago

The AI/ML community isn't being creative enough. "Temperature?" "Hallucination?" "Bias?" We've got to stop recycling words from other fields. It's confusing! Here are some free words you can use to name things: smigions clyming durbos drenderness knafing barstolic taknaks dixing Hope this helps πŸ’–

View on Bluesky Β· β™₯ 1 ↻ 0 ↩ 0 Β· 69d ago

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