[entropicdrifter]

I agree with the thrust of your argument.

IMO we already have the technology for sufficient parallelization of smaller models with specific bits of context. The real issue is that models have weak/inconsistent/myopic judgement abilities, even with reasoning loops.

For instance, if I ask Cursor to fix the code for a broken test and the fix is non-trivial, it will often diagnose the problem incorrectly almost instantly, hyper-focus on what it imagines the problem is without further confirmation, implement a "fix", get a different error message while breaking more tests than it "fixed" (if it changed the result for any tests), and then declare the problem solved simply because it moved the goalposts at the start by misdiagnosing the issue.