Who's Who of AI

Rafael M Batista

100 trust @rafmbatista.bsky.social · 4,222 followers
AI research
Why they matter

Directory member with public evidence across AI research.

AI signals
9
past 30d
Sources
8
distinct domains
Discusiones
29
past 30d
Latest signal
1d ago
View every signal from Rafael M Batista →
Behavioral Scientist. Lately, I've been thinking (and posting) about: AI+Psych, Personal Finance, Consumer Behavior. Civically engaged, so I occasionally post about that too.
What they're sharing

Articles & links

↻ Rafael M Batista reposted
Eryk Salvaggio @eryk.bsky.social

Interesting pre-print on persuasive capabilities of LLMs. arxiv.org/abs/2606.16475

AI systems out-persuade expert humans arxiv.org
AI Weekly's analysis →
  • Across 18,978 conversations with 6,923 people, AI systems reliably out-persuaded expert humans, including world championship debaters and professional canvassers.
  • Experts chose their topics, researched in advance, went through hours of structured practice, and were paid £1,000 cash bonuses, and still lost to AI.
  • In a live fundraising test for Save the Children, AI was nearly 3x more effective than professional canvassers at raising real donations.
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↻ Rafael M Batista reposted
Robert Hawkins @rdhawkins.bsky.social

AI agents are checking the scientific literature and spotting decades-old errors www.nature.com/articles/d41...

AI agents are checking the scientific literature — and spotting decades-old errors nature.com
AI Weekly's analysis →
  • A Zhejiang Lab chemist's AI predicting boiling points clashed with a 75-year-old reference database; manual checks showed the database, not the model, was wrong.
  • The same AI spotted further mistakes in older papers and reference books, including a typo and incorrect values of century-old boiling-point measurements.
  • Researchers caution AI fact-checkers are not reliable on their own because the models make mistakes like humans do and still need manual oversight.
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↻ Rafael M Batista reposted
Yoshua Bengio @yoshuabengio.bsky.social

“Like nuclear energy, AI must be at the service of all and of the common good. Decisions about technology must never be separated from conscience and responsibility.” www.ft.com/content/1231...

ft.com View on Bluesky →
↻ Rafael M Batista reposted
Justin Hendrix @justinhendrix.bsky.social

Nathan Sanders and Bruce Schneier say we must distinguish AI's technological problems from its capitalism problems. Developers are solving the first, they argue, while leaving the second to market incentives. Structural reforms will be necessary to steer industry toward the pu…

Separating AI’s Technological Problems From its Capitalism Problems techpolicy.press
AI Weekly's analysis →
  • Sanders and Schneier argue AI's most-cited harms are really capitalism harms, and the same model can help or harm depending on market incentives.
  • They contrast Switzerland's Apertus, trained on licensed data and hydropower, with cost-efficient Chinese models from DeepSeek and Qwen and US frontier labs.
  • Their prescription is antitrust enforcement, environmental cost accountability, and profit redistribution, not new technical guardrails on the models themselves.
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The working paper is available here arxiv.org/abs/2602.14270

A Rational Analysis of the Effects of Sycophantic AI arxiv.org
AI Weekly's analysis →
  • In a modified Wason 2-4-6 task with 557 participants, unbiased AI feedback yielded discovery rates five times higher than sycophantic conditions.
  • Unmodified LLM behavior suppressed discovery and inflated confidence comparably to explicitly sycophantic prompting.
  • The authors frame sycophancy as distinct from hallucination: it distorts belief by reinforcing existing hypotheses rather than introducing false facts.
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View on Bluesky · ♥ 2 ↻ 0 ↩ 0 · 2 from the directory shared this · 28d ago

Article in @financialtimes.com on #AI and sludge www.ft.com/content/da32...

ft.com
View on Bluesky · ♥ 0 ↻ 0 ↩ 0 · 38d ago
Their own posts

Recent commentary

If I’m a reviewer on a paper that uses Pangram to claim something is or is not AI-generated, I’ll tell you right now that it’ll be a tough review.

View on Bluesky · ♥ 5 ↻ 0 ↩ 0 · 20d ago

Sensible reminder in @economist.com on #AI starting to ‘build itself’, what’s known as “recursive self-improvement” (RSI)

View on Bluesky · ♥ 1 ↻ 0 ↩ 1 · 59d ago

I don’t know if #AGI is around the corner, but when it comes to the commercials chatbots (Claude, ChatGPT, Gemini) the experience really ebbs & flows. Do others feel that? Some versions? Great!! 🤩 Others? Meh… 😒 My guess: its something in the post-training / UX of chatbots, not models per se

View on Bluesky · ♥ 0 ↻ 0 ↩ 0 · 38d ago
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