Frontier labs face jagged capability spikes as smaller open models train the exact skill
jah242 · reddit · 2026-07-24
The post argues that jaggedness is becoming a real constraint for frontier labs: they must add guardrails around the spikiest dangerous capabilities, even when those spikes are a byproduct of general RL rather than economically useful skills.
It claims smaller specialized open models may avoid part of this problem because the sharp capability is trained explicitly instead of emerging incidentally. The author asks whether this gives specialized open models a structural advantage.
Related event: Small Specialized AI Models Outcompete Frontier Models(2 posts)→
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