Ilmeisesti tekoälyn kyvykkyydet kasvavat ennakoitua nopeammin. Tämä on hyvä asia Supismille.
In his talk, he attributed this to "supralinear scaling": where researchers assumed LLM capability would improve linearly, evidence now suggests a model trained on twice the data, compute, and time produces something four times more capable.
He hinted supralinear scaling might produce even better multipliers but could not say more due to a non-disclosure agreement.
https://www.theregister.com/2026/04/24/ai_bugfinding_futures/
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