I struggle to believe that AI R&D is ingenious

Re:I struggle to believe that AI R&D is ingenious by skew-aberration on Friday November 06, 2026 @02:40AM (#50389335)

You can try adapting to this reality in your methodology though. Divide up your project into clear cut and ambitious modules, with well-defined objectives to evaluate each part.

Codebase porting, implementing sophisticated algorithms, performance tuning, model training, reverse engineering, fuzz testing / benchmarking suites, refactor to support a new interface, etc, scale so much better than 'fix a then b. don't break c' style prompts.

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Re:I struggle to believe that AI R&D is ingenious by nfw2 on Friday November 06, 2026 @01:47PM (#50396570)

Exactly, I agree. I have been working on a ux harness that creates a deep product model with personas, user journeys, etc as well as designs. Originally I was hoping it that it could work just some skills and a data export format. It was burning 300M tokens just to get nowhere.

Now I have this DAG with something like 40 specialized subagents. It's sort of a monstrosity, but it works much better for 100x fewer tokens.

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