tribe-v2-agent-alignment

Name: tribe-v2-agent-alignment
Rating: 5 (1 reviews)
Author: broomva

Use Meta's TRIBE v2 brain encoder to validate cortical alignment of AI model representations (LLaMA, V-JEPA2, Wav2Vec, or any encoder) and inform model selection in the Life/Arcan agent OS stack. Use when: (1) Benchmarking whether a new model encoder aligns with human cortical processing, (2) Comparing text encoders by language cortex alignment score, (3) Comparing video encoders by visual cortex

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Updated 13 days ago

View on GitHub ↗License: MIT

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TRIBE v2 Agent Alignment

Validate whether your AI encoders — text, video, or audio — represent information the way human brains do, using Meta's TRIBE v2 cortical predictor. Use the resulting alignment scores to drive neuro-informed model routing in Life/Arcan.

Concept

Cortical alignment measures how well an AI encoder's hidden states predict actual fMRI brain activity in response to the same stimulus. TRIBE v2 (TRansformer for In-silico Brain Experiments) was trained on thousands of hou

[Description truncada. Veja o README completo no GitHub.]

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