Today we're introducing TRIBE v2 (Trimodal Brain Encoder), a...
AI at Meta@AIatMeta
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Mar 26, 2026
~1 min read
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Today we're introducing TRIBE v2 (Trimodal Brain Encoder), a foundation model trained to predict how the human brain responds to almost any sight or sound.
Building on our Algonauts 2025 award-winning architecture, TRIBE v2 draws on 500+ hours of fMRI recordings from 700+ people to create a digital twin of neural activity and enable zero-shot predictions for new subjects, languages, and tasks.
Try the demo and learn more here: go.meta.me/tribe2
Building on our Algonauts 2025 award-winning architecture, TRIBE v2 draws on 500+ hours of fMRI recordings from 700+ people to create a digital twin of neural activity and enable zero-shot predictions for new subjects, languages, and tasks.
Try the demo and learn more here: go.meta.me/tribe2
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Without any retraining, TRIBE v2 can reliably predict the brain responses of individuals it has never seen before, achieving a nearly 2-3x improvement over previous methods for both movies and audiobooks
We’re releasing the model, codebase, paper, and demo to help researchers advance neuroscience, apply brain insights to build better AI, and use computational simulation to speed up breakthroughs in neurological disease diagnosis and treatment.
🔗 Paper: go.meta.me/210503
🔗 Model: go.meta.me/ea1cff
🔗 Code: go.meta.me/873d02
We’re releasing the model, codebase, paper, and demo to help researchers advance neuroscience, apply brain insights to build better AI, and use computational simulation to speed up breakthroughs in neurological disease diagnosis and treatment.
🔗 Paper: go.meta.me/210503
🔗 Model: go.meta.me/ea1cff
🔗 Code: go.meta.me/873d02