• 5 Posts
  • 397 Comments
Joined 3 years ago
cake
Cake day: June 11th, 2023

help-circle














  • From the article:

    An Anthropic study released last month found AI is already theoretically capable of completing the majority of tasks associated with computer science, law, business, and finance, and other major white-collar fields

    There’s a huge difference between “capable of completing the majority of tasks” and “capable of completing the majority of tasks WELL”.

    Sure, you can have an AI code your web app or mobile app, due example. But it will be riddled with bugs, and bloated with inefficient code.

    And from what I’ve seen, it’s not getting noticeable better at that.

    But the AI companies won’t acknowledge that, of course. They will continue selling the snake oil that cures everything that ails you.



  • In that scenario where AI is used to find specific code snippets or other matching text blocks, the false positives aren’t really the problem. The false negatives are the issue.

    I’ve run into that myself a few times when trying to use AI. You give it a very clear prompt to find something and it sometimes just falls flat on its face. It’s easy for the AI evangelists to just blame the human who wrote the prompt, or say “you didn’t give it enough context!” But anyone who’s tried using AI and is being objective about it will tell you that’s a weak excuse that doesn’t hold water a good chunk of the time. You can give it plenty of context, and be very clear, and it still doesn’t find all the examples that clearly match the prompt.

    Ultimately, you often have better luck using a well-crafted regular expression to search for text than using AI.

    And that seems like the crux of the issue (which you also highlight). While there are some very good use cases for AI, it’s being waaaay over-used. And too often its faults are dismissed or glossed over.