- cross-posted to:
- programming@programming.dev
- hackernews
- cross-posted to:
- programming@programming.dev
- hackernews
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Paint huffer surprised when other paint huffers are happy to accept any old solvent.
I use LLM-generated code extensively in my role as CEO of Carrington Labs, a provider of predictive-analytics risk models for lenders.
Well you know where not to buy now…
Oh yeah, I read that and thought “this has all the problems of the garden of forking paths”
Based on the description, the whole company is just p-hacking. There’s a reason why nobody uses stepwise feature selection, you just replaced the evaluation/step mechanism with AI.
Unexpected???
Unexpected in the same way as you don’t expect leopards to eat your face…
Unexpected to AI true believers.
I’ve lived long enough to go through multiple AI winters. This is just business failure as usual.
Correction: Newer versions of ChatGPT (GPT-5.x) are failing in insidious ways. The article has no mention of the other popular services or the dozens of open source coding assist AI models (e.g. Qwen, gpt-oss, etc).
The open source stuff is amazing and gets better just as quickly as the big AI options. Yet they’re boring so they don’t make the news.
That’s because OpenAI is in panic mode. They’re now spending their resources on making the LLM cheaper to operate and capable of injecting paid results.
GiGo.
Not failing, just Skynet doing its work.
