ARC's Greg Kamradt: AGI gains must come from self-built tools, not one-shot ability
GregKamradt · x · 2026-09-09
ARC Prize founder Greg Kamradt argues the 'general' in AGI means doing things a system wasn't trained for. If weights are frozen, capability gains must come from external memory and tools the model builds for itself.
He cares less about one-shot performance and more about what a model can accomplish through building its own tools given enough time and inference. He adds this is a short-term win for the 'harness crowd' and creates friction for benchmarkers.
Related event: ARC Prize Founder and Community Debates What "General" in AGI Means(5 posts)→
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