Except this isn’t one mistake. Writing buggy code is a mistake. Not catching it in testing, QA, dogfooding or incremental rollouts is a complete institutional failure
I agree 100% with your last point, even as someone who is relatively more skeptical of GPT than the average person.
I think a lot of the concern though is coming from the way the average person is reacting to GPT and the way they’re using it. The issue isn’t that GPT makes mistakes, it’s that people (by their own fault, not GPT necessarily) get a false sense of security from GPT, and since the answers are provided in a concise, well-written format don’t apply the same skepticism they do when searching for something. That’s my experience at least.
Maybe people will just get better at using this, the tools will improve, and it won’t be as big an issue, but it feels like a trend from Facebook to TikTok of people opting for more easily digestible content at the expense of disinformation
That’s a good point. I don’t think anyone is denying that GPT will be useful though. I’m more worried that because of commercial reasons and public laziness / ignorance, it’s going to get shoehorned into use cases it’s not meant for and create a lot of misinformation. So a similar problem to search, but amplified
When did they say it’s garbage? They gave their opinions on its shortcomings and praised some of the things it excels at. You’re calling the critics too emotional but this reply is incredibly defensive.
Your anecdotes are really cool and a great example of what GPT can do really well. But as a technical person, you’re much more aware of its limitations and what is and isn’t a good prompt for it. But as it is more and more marketed to the public, and with people already clamoring to replace traditional search engines with it, relying on the user to filter out disinformation well and not use it for prompts it struggles with isn’t good enough.