Post by @MichaelTBacon@social.coop

2026-04-05 20:56 UTC

@mirth @alienghic @cwebber Anthropic gets some credit for getting Claude Code to actual usability and decent code if you spend enough time scolding and cajoling the model and manually forcing it through various code quality assurances. But they're not doing it on cheap models, they're doing it on the biggest, most expensive models which require the biggest and most expensive GPUs. You can't get those results out of Deepseek or Ollama or any of the smaller, cheaper models. The code quality goes right back into the toilet, no mater what guard rails you put on it. Given the horrific mess that is the Claude Code source code (see this megathread for a walk through the chaos fractal that is Claude Code https://neuromatch.social/@jonny/116324676116121930) it's possible that they could tighten the hell out of it and clean up some of the immense noise in it to get some efficiency. But then what does that say about Claude Code's code quality?

Replies (1)

@MichaelTBacon@social.coop 2026-04-05 21:02

@mirth @alienghic @cwebber As for the custom chips, I'm not sure how much more customized you can make a chip for ML models than what NVIDIA is cranking out, but at the very least here's what's going on with Microsoft's attempts to get Azure to work on smaller hardware. This is a really sobering read from a former MS system engineer. Certainly, the capability of ARM chips to really change cloud computing if someone can get the ultra-efficient ones to scale up shouldn't be overlooked. And someone else who isn't Microsoft will probably figure it out (although AWS in particular is also staggering under its immense technical debt right now). But there is just one titanic mess after another under the hoods of the major tech firms burning hundreds of billions of VC dollars right now. https://isolveproblems.substack.com/p/how-microsoft-vaporized-a-trillion

Open ##1242422