Opus >=4.7 in Claude Code accumulates too much scar tissue in the codebase
On top of that its pedagogy and clarity is severely under-rewarded -> makes harder to spot incoherencies -> more scar tissue after correcting.
Idk why nobody is talking about it, this is a bad direction.
@dlouapre Claude Code Opus >= 4.7 does this: I end up giving up on following the implementation (outsource understanding).
Staying at the idea level means I later have to reverse-engineer everything with Gemini 3.1.
Super inefficient. First time considering going back to cursor-style edits
@VictorTaelin Do you already have an extraordinariliy good dataset or planning to curate one?
I have recipes for self-supervised dataset generator harnesses if you need
@SecWar If the current government had openly campaigned on AI-driven mass surveillance, it likely would have lost a significant share of its right-wing support. When technology outpaces the mandate voters thought they were giving, that’s exactly what referendums are for.
@SecWar The debate was mostly about whether to invest in AI, not how far to deploy it, especially when it comes to mass surveillance. Those are very different questions.
@ilyasut@aidan_mclau Future elections will partly depend on candidates’ positions on AI use. In the last cycle, AI was not advanced enough for this to be a real dividing line. If the current gvt had openly campaigned on implementing AI mass surveillance, it would have lost a fair chunk of right-wing
@_philschmid@0xblacklight Paper says LLM generated md files hurt performance, but what about codex generated AGENTS.md based on the guidelines you provided? :)
@fchollet Completely agree. I’m having an intern work on solving an inverse problem, but the idea is to use an agentic harness for parameter search + calling forward model with tools for feedback. Instead of conventional optimization (monte carlo etc)