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The flipside to this is you can’t get answers to anything _recent_, since the models are trained years behind in content. My feelig is it’s getting increasingly
by herval 2y ago
The flipside to this is you can’t get answers to anything _recent_, since the models are trained years behind in content. My feelig is it’s getting increasingly difficult to figure out issues on the latest version of libraries & tools, as the only options are private Discords (which aren’t even googleable)
- Vegenoid 2y agoI think that knowledge hoarding may come back with a vengeance with the threat people feel from LLMs and offshoring.
- chairmansteve 2y agoYep. For SO, the incentive was a high reputation. But now an LLM is stealing your work, what's the point?
- yieldcrv 2y agoThe models come out fast enough Doesn’t seem to be a great strategy to always need these things retrained, but OpenAI’s o1 has things from early 2024 Don’t ask about knowledge cutoffs anymore, that’s not how these things are trained these days. They don’t know their names or the date.
- herval 2y agoNot my daily experience. It’s been impossible to get relevant answers to questions on multiple languages and frameworks, no matter the model. O1 frequently generates code using deprecated libraries (and is unable to fix it with iteration). Not to mention there will be no data for the model to learn the new stuff anyway, since places like SO will get zero responses with the new stuff for the model to crawl
- yieldcrv 2y agoYes I encounter that too but for things in just the last few months with o1 It is really difficult if you need project flags and configurations to make things work, instead of just code Github issues gets crawled, where many of these frameworks have their community