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 alignment score, (4) Integrating neuro-alignment scores into Arcan model routing, (5) Validating that a fine-tuned model has not lost biological plausibility, (6) Selecting the most brain-aligned encoder for a given modality in the agent OS, (7) Any task involving neuroscience-informed AI model evaluation, cortical alignment benchmarking, or biologically-inspired model selection.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryScience & researchStars0
About this skill
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 alignment score, (4) Integrating neuro-alignment scores into Arcan model routing, (5) Validating that a fine-tuned model has not lost biological plausibility, (6) Selecting the most brain-aligned encoder for a given modality in the agent OS, (7) Any task involving neuroscience-informed AI model evaluation, cortical alignment benchmarking, or biologically-inspired model selection.
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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 alignment score, (4) Integrating neuro-alignment scores into Arcan model routing, (5) Validating that a fine-tuned model has not lost biological plausibility, (6) Selecting the most brain-aligned encoder for a given modality in the agent OS, (7) Any task involving neuroscience-informed AI model evaluation, cortical alignment benchmarking, or biologically-inspired model selection.
About this listing
Category
Science & research
Reported license
MIT
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLI