AI Engineer @ Hupside, Prev. Research Professor @ Penn State University—cognitive science, computational modeling, category learning, creativity, education.
@Chris_Worsey@the_P_God@karpathy Eh, that won't cut it. Turn it loose on the current market in a live/paper trade account and get back to us. I suspect you'll see a very different picture.
@karpathy Skeptical view: This is baked into some providers’ tools bc they’re paid by the token. A next area for competition is for one (or more) providers to streamline token usage. As a user, I’m frankly tired of ‘thinking’ models using inane numbers of tokens for a standard response.
3 x Funded Ph.D. positions at School of Psychology, University of Plymouth, UK. I am available for PhD supervision in my areas of expertise, as are many of my colleagues. Please RT.
https://t.co/2Kxt7qSUqs
Princeton is hiring postdocs interested in projects focused on comparing AI systems to human cognition or using ideas from cognitive science to better understand those systems as part of a new initiative studying Natural and Artificial Minds. Apply at https://t.co/q3cpk3bSSa
Postdoc opportunity! Join the Cognitive Neuroscience of Creativity Lab @PennState for NSF-funded projects on AI, creativity assessment, & neuroimaging. Send CV & research interests to [email protected]. Job ad coming soon. Come do creativity science with us!
@WitteKristin@toby_wise@docqhuys@cpilab Excited to give this a read! I was very surprised by the findings showcased in the tweeprint at first. After further consideration though it made more sense. If the current is bad (anx/depress), what’s the opportunity cost to shifting? Dep on severity, how much worse can it get?
Metaphor is abstract and uniquely comprehensible to humans, right?
In work led by @PaulVDiStefano3, we found that LLMs could be trained to predict human creativity judgments for metaphors (r >= .7)—on par with arguably less complex/abstract, creativity tasks—check it out!
Here's our latest paper on automated creativity assessment, led by CNCL grad student @PaulVDiStefano3. We trained Large Language Models to predict human ratings of metaphor creativity, extending AI creativity scoring to figurative language.
https://t.co/BIw81ANIhC
Just released our latest pre-print and my first first-author paper 'Automatic Scoring of Metaphor Creativity with Large Language Models' Big thanks to my collaborators @Roger_Beaty and @jdpttrsn
Check it out here:
https://t.co/uuXxX3bdxV
Dalai Alpaca is here!
https://t.co/lm6Kx7QExs
Now you can run the Alpaca LLM on your computer (Mac, Windows, Linux) with just ONE command!
Best of all, all you need is just around 4.2GB of disk space!
Just run this:
Large language models change everything for linguistics, starting with Chomsky.
Featuring: LLMs as scientific theories, response to prior takes, "why" questions in language, acquisition... and how the field should have seen this coming.
Paper is here: https://t.co/b3lj5IjZ8x