Ariel Goldstein

New paper! 📷
The brain's Multiple Demand (MD) network ramps up when tasks get hard, so its activity gets read as "effort", while meaning is left to the language network. But when you're following a tough lecture, is MD just working harder, or is it tracking the content?

We are excited to share our new preprint! 🚨
biorxiv.org/content/10.110…
In this work, we investigate the neural mechanisms by which speakers generate information-rich linguistic content during spontaneous natural conversation.

I’m hiring a PhD student for my lab at Cambridge’s Center for Human Inspired AI (CHIA)! Work at the intersection of AI × cognition × neuroscience.
📅 Deadline: Dec 2
🔗 Program: postgraduate.study.cam.ac.uk/courses/direct…
📚 My Google Scholar: scholar.google.com/citations?user…

New paper out!
Do LLMs Exhibit Human-Like Cognitive Biases?
We systematically tested 20 biases across 10 leading LLMs using pre-registered experiments. The result: cognitive biases in LLMs are both pervasive and nuanced.
papers.ssrn.com/sol3/papers.cf…

It's finally out! shared principle between autoregressive deep language models and neural activity associated with real-life comprehension.
nature.com/articles/s4159…
Thank you very much for the extraordinary team that made it happen.