Rebekah Gelpí
Postdoc @jhucompsci.bsky.social, PhD @uoftpsychology.bsky.social. Computational modeller of social learning, social learner of computational models. https://rgelpi.github.io
- Reposted by Rebekah GelpíI just created a series of seven deep-dive videos about AI, which I've posted to youtube and now here. 😊 Targeted to laypeople, they explore how LLMs work, what they can do, and what impacts they have on learning, well-being, disinformation, the workplace, the economy, and the environment.
- Reposted by Rebekah GelpíOut in @cognitionjournal.bsky.social with @jaeminhwang.bsky.social, David Sobel (@candmlab.bsky.social), and @jessicas.bsky.social! Most studies of infants’ fairness expectations focus on resource distribution, but in everyday life, we engage in many different kinds of resource exchanges.
- Reposted by Rebekah GelpíInterested in language models, brains, and concepts? Check out our COLM 2025 🔦 Spotlight paper! (And if you’re at COLM, come hear about it on Tuesday – sessions Spotlight 2 & Poster 2)!
- Reposted by Rebekah GelpíMy Lab at the University of Edinburgh🇬🇧 has funded PhD positions for this cycle! We study the computational principles of how people learn, reason, and communicate. It's a new lab, and you will be playing a big role in shaping its culture and foundations. Spread the words!
- Reposted by Rebekah GelpíWe know that a consensus of opinions is persuasive, but how reliable is this effect across people and types of consensus, and are there any kinds of claims where people care less about what other people think? This is what we tested in our new(ish) paper in @psychscience.bsky.social
- Reposted by Rebekah GelpíThanks to a rogue Partiful RSVP form at #cogsci2025, I seem to have collected an unexpectedly large dataset (N=197) of whether cognitive scientists think the mind is composed of innate, domain-specialized modules…
