AI-bros out there reinventing lines-of-code as a productivity metric.

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Joo, I hadn't considered the whole trilingual thing you all have to do over there. That makes total sense

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You may save money in the short term, at the expense of worse work at the end. That doesn't mean small models can't do tons of valuable work, but you want to make sure they are orchestrated and error-checked by larger ones for many kinds of tasks. Paper: arxiv.org/pdf/2509.09677

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This paper shows why I am skeptical of the idea that frontier models can be easily replaced by cheaper ones (and why you should use the best models as orchestrators): Small improvements in accuracy & judgement compound over long-horizon tasks, creating huge gains in outcomes and reduction in errors.

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+ gland upgrades + CRUD interface for immune system + structural fungus + lymph peristalsis + puberties 2-5 + regenerative cartilage + optogenetic ECM synth

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