🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Happy to see the story on motor cortex finally out in @natureneuro today! rdcu.be/dY5q1

Excited to release what we’ve been working on at Amaranth Foundation, our latest whitepaper, NeuroAI for AI safety! A detailed, ambitious roadmap for how neuroscience research can help build safer AI systems while accelerating both virtual neuroscience and neurotech. 1/N

What a cool opportunity!

My TED AI talk is out! ted.com/talks/surya_ga… I discuss our work, spanning AI, physics, math & neuroscience, to develop a deeper scientific understanding of intelligence, both to understand biological intelligence and make better artificial intelligence. I focus on 5 gaps:

A really fun project led by Ji-An Li adapting the neurofeedback methodology to LLMs!

New review on computational approaches to studying human planning out now in Trends in Cognitive Sciences! Really enjoyed having the opportunity to write something broader about the field with the help of Evan Russek Marcelo Mattar Wei Ji Ma and Griffiths Computational Cognitive Science Lab cell.com/trends/cogniti…

We’re proud to announce the launch of AutumnBench, an open-source benchmark developed on our Autumn platform. This benchmark, led by our MARA team, provides a novel platform for evaluating world modeling and causal reasoning in both human and artificial intelligence.

Happy to announce that my lab @ Yale Psychology (actcompthink.org) will be accepting PhD apps this year (for start in Fall '26)! Come for fun experiments on human learning, memory, & skilled behavior, stay for the best 🍕 in the US. Please reach out w/ any questions!

📢Introducing the Alignment Project: A new fund for research on urgent challenges in AI alignment and control, backed by over £15 million. ▶️ Up to £1 million per project ▶️ Compute access, venture capital investment, and expert support Learn more and apply ⬇️

I am very excited that AISI is announcing over £15M in funding for AI alignment and control, in partnership with other governments, industry, VCs, and philanthropists! Here is a 🧵 about why it is important to bring more independent ideas and expertise into this space.

Check out our 3 works with Ji-An Li Marcelo Mattar Robert Wilson at #CogSci2025. All three works model learning to learn (meta-learning). While prior models assume a fixed set of cognitive parameters per subject, we extend this by allowing parameters to dynamically evolve over time.