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This post reads like a neoluddite AI-skeptic trashing someone for trying new things. Every CEO should be trying to automate human tasks with AI right now--not t
by taylorfinley 3y ago
This post reads like a neoluddite AI-skeptic trashing someone for trying new things. Every CEO should be trying to automate human tasks with AI right now--not to fire all the humans, but to increase their efficiency. Good on your CEO for trying. Sounds like they've largely failed to execute, which is a valid thing to criticize, but at least they're trying. The CEO of my company has also been trying, and we've done some really cool things.
I've been hearing a lot of AI criticism lately from folks who clearly haven't gotten deep with GPT-4, like geohot/George Hotz's recent interview on the Lex Friedman podcast. There are a ton of valid things to criticize about AI and LLMs, but I've built things with GPT-4 that are incredibly impactful for our business--a tool to turn a Zendesk ticket thread into internal and external support guides, for example. Yes, there are limitations. But sticking your head in the ground saying "it's all a parlor trick" won't age well.
- deleted 3y ago[deleted]
- thefz 3y ago> - HR docs are now being generated by ChatGPT with no checks for legality This enough will almost guarantee that this CEO will be out of work soon.
- tnecniv 3y agoIt’s definitely not parlor tricks but I am skeptical that it’s going to be making skilled professionals obsolete any time soon. For many jobs, even a 10% error rate is too high. I think it certainly makes sense as a way to amplify what your employees are capable of doing on any given day by reducing busy work they hated doing in the first place, but improving the performance of these models to get that 10% error rate down to a 1% error rate (and having an understanding of what kinds of tasks it can achieve those results on) will be a lot harder. Maybe I’m wrong, but AI has a huge history of things we thought were easy turning out to be very difficult. Self-driving cars weren’t expected to be nearly as challenging as they turned out to be. In the original AI summit, all the big thinkers of that era thought that physical tasks like manipulation would be easy and logical reasoning would be hard. It turned out that it was the other way around.