Practitioner: even heavy fine-tuning can't close the frontier-vs-open quality gap
TheZachMueller · x · 2026-11-10
AllanatrixQ, a self-described open-source supporter, says after trying dozens of models and heavy fine-tuning/post-training, frontier models still clearly win for his ML research infrastructure and heavy research work; open models suffice for narrow tasks without long-context, multi-step, branching reasoning. TheZachMueller agrees and adds this doesn't make OSS models unusable — quite the opposite.
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