this post was submitted on 07 Jun 2024
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Say it with me again now:
For fact-based applications, the amount of work required to develop and subsequently babysit the LLM to ensure it is always producing accurate output is exactly the same as doing the work yourself in the first place.
Always, always, always. This is a mathematical law. It doesn't matter how much you whine or argue, or cite anecdotes about how you totally got ChatGPT or Copilot to generate you some working code that one time. The LLM does not actually have comprehension of its input or output. It doesn't have comprehension, period. It cannot know when it is wrong. It can't actually know anything.
Sure, very sophisticated LLM's might get it right some of the time, or even a lot of the time in the cases of very specific topics with very good training data. But its accuracy cannot be guaranteed unless you fact-check 100% of its output.
Yep, that right there. I could have called that before they even started. The shit really hits the fan when the computer is inevitably capable of spouting bullshit far faster than humans are able to review and debunk its output, and that's only if anyone is actually watching and has their hand on the off switch. Of course, the end goal of these schemes is to be able to fire as much of the human staff as possible, so it ultimately winds up that there is nobody left to actually do the review. And whatever emaciated remains of management are left don't actually understand how the machine works nor how its output is generated.
Yeah, I see no flaws in this plan... Carry the fuck on, idiots.
I disagree with the "always" bit. At some point in the future AI is actually going to get to the point where we can basically just leave it to it, and not have to worry.
But I do agree that we are not there yet. And that we need to stop pretending that we are.
Having said that my company uses AI for a lot of business critical tasks and we haven't gone bankrupt yet, of course that's not quite the same as saying that a human wouldn't have done it better. Perhaps we're spending more money than we need to because of the AI, who knows?