
Kiken
255 posts




I’m sorry, I know this bums a lot of you out, because you’ve built your personality on being to pro-market, pro-technology guy, but technology is just very clearly making us less happy



Good interview with Pi agent harness creator Mario Zechner. I like Zechner - no nonsense guy, no hype. AI Agent reality vs hype: Differentiates between good-enough slop code (eg internal use, quickly clean/analyze some data, etc.) vs clean, efficient production code. Zechner: Kimi and DeepSeek are highly effective at coding tasks and represent a strong shift toward using open-weights models. Intelligence and Capacity: notes that models like Kimi (specifically mentioning the 2.6 version) provide intelligence comparable to what he previously received from Anthropic's models, stating that he does not require anything significantly more powerful for his workflows (19:17-19:44). Closing the Gap: Mario argues that open-weights models have caught up to frontier models, to the point where he no longer believes frontier models hold a significant edge in intelligence, specifically noting that he has observed regressions in some verticals for larger models (19:44-20:03).







I think returns to intelligence are nonlinear because decisions are path-dependent early choices in code, experiments, or strategy can compound positively or negatively over time for example by avoiding dead ends or preserving optionality it's why I am a big fan of very long running tasks and massive benchmarking budgets GPT-5.5 and Mythos Preview are only marginally more intelligent than previous models and have pretty much the same performance up to 10M tokens, but after that they go absolutely ballistic














