As promised yesterday — I reviewed and wrote up my thoughts on the research paper that Meta released yesterday:
Full review: Paper Review: TRImodal Brain Encoder for whole-brain fMRI response prediction (TRIBE)
I recommend checking out my review! I discuss some takeaways and there are interesting visuals from the paper and related papers.
However in quick take form, the TL;DR is:
From The Rundown today: "Meta’s FAIR team just introduced TRIBE, a 1B parameter neural network that predicts how human brains respond to movies by analyzing video, audio, and text — achieving first place in the Algonauts 2025 brain modeling competition."
This ties extremely well to my post published a few days ago: Third-order cognition as a model of superintelligence (ironically: Meta® metacognition).
I'll read the Meta AI paper and write up a (shorter) post on key takeaways.
Just published "Meta® Meta Cognition: Intelligence Progression as a Three-Tier Hybrid Mind"
TL;DR: We know that humans and some animals have two tiers of cognition — an integrative metacognition layer, and a lower non-metarepresentational cognition layer. With artificial superintelligence, we should define a third layer and model it as a three-tier hybrid mind. I define the concepts precisely and talk about their implications for alignment.
I also talk about chimp-human composites which is fun.
Really interested in feedback and discussion with the community!