KOL Declares Bounded Superhuman Software Engineering Solved by Scaling RL
teortaxesTex · x · 2026-08-14
Prominent AI commentator teortaxesTex stated that scaling reinforcement learning (RL) alone is enough to achieve superhuman software engineering in bounded domains, declaring it a solved problem.
He noted that this capability has been demonstrated not only by Slime but also by DSec and Kimi's internal frameworks. In a quoted post regarding Zhipu, he added that Zhipu relies on pure, brutal training competence rather than fancy scale or architecture, raising the question of how far they could push their 744B base model.
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