First RCT providing a causal test of neuronal recycling in preschool children is finally out! doi.org/10.1016/j.brai…

🚨🚨Do Americans accurately perceive union benefits? 🚨🚨

Our new paper (led by Jonne Kamphorst) out this week PNASNews finds:

Americans significantly and systematically underestimate material benefits associated with union benefits. 🧵👇

With funding from a 2021 Hoffman-Yee Grant, a team of Stanford University cognitive scientists led by Prof. Michael Frank (@mcxfrank) is studying curiosity in infants and AI agents. The Atlantic published a detailed profile of their BabyView study: bit.ly/3QsNWaG

Congratulations to Nora Newcombe on election to National Academy of Sciences — what a fantastic psychologist she is.

Fun (and science) with the family highlighted in today's NYT. Comments from some of my favorite scientists Griffiths Computational Cognitive Science Lab, Linda Smith, and Michael C. Frank whose study Luna is participating in. Thanks Oliver Whang for the great writing. nytimes.com/2024/04/30/sci…

Congatulations to Michael C. Frank, Director of the Symbolic Systems program and our guest on the program earlier this year, for being elected to the @AmericanAcad of Arts & Sciences!

More at philosophytalk.org/shows/can-ai-h… KALW #philosophy #psychology #AI #babies

Thank you Haifa for your work on Arabic CDIs and your contribution to Wordbank!!

Congratulations to psychonomes Sian Beilock, Michael Frank and Jeff Zacks, who have been elected to the prestigious American Academy of Arts and Sciences. (@AmericanAcad) Sian Beilock Dartmouth 🌲 Michael C. Frank @stanford @wustl bit.ly/3w841vl

Stanford friends! I will be on campus tomorrow 4/23 giving a talk in Michael C. Frank 's lab at noon entitled: 'AI & Society, how do LLMs solve developmental tasks and how do children prefer to use generative AI?' Come say hi🤖

📣I'm hiring a lab coordinator for my new lab at UCSD CogSci. This is a great position if you're interested in gaining research experience before applying to graduate school.

Apply by May 2, flexible start late summer start date (~Sep 1). Details below! employment.ucsd.edu/laboratory-coo…

Our mega-analysis paper on infant-directed speech preference is now out at Open Mind, combining data from a multi-lab replication (ManyBabies 1) and a community-augmented meta-analysis. w/ Christopher Cox, Dr. Christina Bergmann - Skies are blue..., Maya Mathur, Michael C. Frank + a 🌟 team
direct.mit.edu/opmi/article/d… 1/

This paper provides a very cool replication - in a different game environment - of the core finding from my dissertation work published in 2021, i.e., that smaller (larger) groups are more likely to diverge (converge) in the formation of linguistic conventions…

New episode (926), with Dr. Michael Frank (Michael C. Frank): Child Development and Language Acquisition. #psychology #development #Science

YouTube: youtu.be/umjI_twlw3E
Podcast: bit.ly/49GwkyY

It was this, or teaching evaluations.

Relying on huge amounts of training data is not sustainable, and it may even be dangerous. This is one of the many reasons why AI should learn from how children develop: they learn so much from so little!

Very nice comment on the challenging issue of measuring developmental change with enough precision to provide actionable evidence for parents, educators, and clinicians.

'The perspective of a child could help AI learn language—and tell us more about how humans manage the same feat.' The Atlantic reports on recent studies from our lab, with comments from baby headcam pioneers Linda Smith, Chen Yu, Michael C. Frank

Capturing the everyday experience of a small cohort of babies could help scientists train AI to learn language more like a toddler does. Sarah Zhang reports: theatlantic.com/science/archiv…