3 ms·

This question is in poor faith.

• lm28469 4y ago
  Not really, I've been digging for a while and I didn't find any ground breaking projects It's all nice and cool but most of the projects are toys and/or junior level generated boilerplate It's good for summarizing, rephrasibing and other neat features but that's about it, a far cry from the oracle some people seem to worship
  • belval 4y ago
    They didn't say ChatGPT, they said "AI". In which case simply Googling will get you a seemingly never ending list of very real products: AWS: https://aws.amazon.com/machine-learning/ml-use-cases/ https://aws.amazon.com/machine-learning/ml-use-cases/ Azure: https://azure.microsoft.com/en-us/products/cognitive-services/#api https://azure.microsoft.com/en-us/products/cognitive-service... Google: https://cloud.google.com/products/ai https://cloud.google.com/products/ai
  • nickthegreek 4y ago
    Oracle to worship? There are no serious people doing any such thing. I don't even know of clowns doing that. Is this twitter discourse, a strawman or more poor faith?
  • medvezhenok 4y ago
    ChatGPT is quite good at organizing text into taxonomies, error correction, anomaly detection, data cleaning, etc. I bet there are a lot of companies out there where that's a non-trivial percentage of their workflow (I know that in my case, we have reconsidered several internal projects in light of ChatGPT doing a better job). It already does translation on the level / better than Google Translate, without being specifically trained for it (as one example). And it can play chess without a specialized model.
  • tester457 4y ago
    To be fair, quick and easy toy projects and boilerplate saves an incredible amount of time.