How far can distillation push model capability now that frontier traces are available?
Any-Conference1005 · reddit · 2026-07-28
The post asks how far distillation can really push model performance now that frontier models expose reasoning traces, logits, and tokenizers that can be reused for student training.
It does not present results, but frames the key open question as which model sizes benefit most from distillation and how much improvement can be squeezed out when compute-rich teams can train on rich teacher signals.
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