7 ms·

nopes.. beyond starter projects, raw usage of chatgpt hardly leads to any gains in productivity in the enterprise setting . So far no, but in the future with m

• petercooper 2y ago
  Only murmurs for now, admittedly, but I heard a reason IBM is training models (e.g. https://research.ibm.com/blog/granite-code-models-open-source https://research.ibm.com/blog/granite-code-models-open-sourc...) is because they provide LLM-based systems for enterprise customers to work on ancient, legacy codebases in languages like COBOL more easily. If true, I could definitely see how that might boost productivity as fewer people remain fully trained in the details of such old systems and languages.
  • Moldoteck 2y ago
    unless IBM beats GH copilot enterprise that's by itself not that great, hard doubt it'll make a big impact
    • petercooper 2y ago
      I don't have any insider knowledge, but maybe IBM could get its hands on a lot more legacy code for weird arcane systems than GitHub could? It would make their models more specific than those trained on 50% Python at least.
      • Moldoteck 2y ago
        maybe, I've used copilot enterprise in our company for a big C++ project and to say I was unimpressed is an understatement
      • el_burner 2y ago
        That would be Github that's owned by Microsoft who also make Windows? They can get weird arcane code.
    • mensetmanusman 2y ago
      Lots of old code not on GH that they could combine with what is on GH…
  • ceejayoz 2y ago
    That sounds a lot like their old Watson claims.