Intelligence Comes From the Model, Not the Harness: Rethinking Agent Architecture
mlpowered · x · 2026-08-07
Researcher Andrew Lampinen sparked a discussion on the core driver of intelligence in AI agents, arguing that the foundational model matters more than the orchestration harness.
- Model-driven: Stripping an advanced model like Opus-5 of its harness still yields decent ideas and analysis.
- Harness limitations: Keeping the full harness but downgrading the model to GPT-3 results in poor performance on complex problems.
The interesting hypothesis generation and error correction fundamentally come from the neural component, not the surrounding tools.
Related event: Stanford Scholar: Core Intelligence Lies in Models, Not Toolchains(3 posts)→
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