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
8
past 30d
Sources
7
distinct domains
Discussions
17
past 30d
Latest signal
3d 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.
Read full analysis →
 View on Bluesky →
↻ 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 →

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.
Read full analysis →
View on Bluesky · ♥ 2 ↻ 0 ↩ 0 · 2 from the directory shared this · 8d ago

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

ft.com
View on Bluesky · ♥ 0 ↻ 0 ↩ 0 · 18d 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 · 9h 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 · 39d 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 · 17d ago
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