It doesn't help (especially Bing AI) is so restricted, politically correct, moralist, conformist.
No corporation can afford to turn AI loose.
41–50 of 116 posts
It doesn't help (especially Bing AI) is so restricted, politically correct, moralist, conformist.
No corporation can afford to turn AI loose.
Here, I had chatgpt generate the article so you don't have to read this one linked. # AI: The Overhyped Phenomenon Missing Immediate Results In recent years, there's been no shortage of hyperbolic rhetoric when it comes to Artificial Intelligence (AI). Prophets of the digital age tout it as the solution to virtually all of humanity's problems, from healthcare to climate change. But as we pause to look around, it's pr…
Yes. Because AI hasn't changed the world in six weeks, that clearly shows it will never change the world.
It really looks like ChatGPT suffered from some form of "initial over hype syndrome". I'm not underestimating it, actually I think the application of transformers to do what ChatGPT is capable of doing is something really impressive, novel and caught the world by surprise. I'm sure we'll find many equally impressively good applications for it. But people eventually found its limitations. And did it quite fast. People…
If you want it to do your job for you though, you’re going to have a disappointing time.
I almost think of it as a helpful method of finding what work I should do. It doesn’t really do any of the labour for me. Like if I want to find research papers about x, it’ll find things really well and make interesting connections between papers I otherwise might not. But I won’t rely on it to condense the papers or surface important details; you really still need to do that legwork. Same with code. It can give broad, loose, useful suggestions, but you really need to write it yourself. That’s fine with me.
It's weird to me that some people just don't see the oncoming train. AI is here to stay. Use cases are still being worked out, but it's here to stay. Reminds me of the Astound application around 1995-1996. It was a pretty major PowerPoint competitor and I used it a lot. For whatever reason, they only had a Windows 3.1 version. So I called them asking when the Windows 95 version was coming out. They told me they didn'…
The real advantage of LLMs is not search -- that's just something that's easy to show people. No one really wants to talk to an LLM instead of using Google search. The real value is being general reasoning machines. Being able to accomplish basic tasks, retrieve information, etc. is the key value.
The problem is that LLMs aren’t very good at reasoning, needing constant guidance and double-checking.
I use ChatGPT almost every day and use it to work out ideas, improve my writing, or even just for general queries. But the reality is that even though they charge for it it's not a product.
I think these chat bots are fantastic even though they are locked down and often kind of saccharine. I can't wait for this to become an actual product like a smart speaker or computing interface (like the Star Trek computer).
It's weird to me that some people just don't see the oncoming train. AI is here to stay. Use cases are still being worked out, but it's here to stay. Reminds me of the Astound application around 1995-1996. It was a pretty major PowerPoint competitor and I used it a lot. For whatever reason, they only had a Windows 3.1 version. So I called them asking when the Windows 95 version was coming out. They told me they didn'…
This is what is laughable, and has been from the very beginning. Will we _continue_ to use AI to try and find novel drug treatments? Yes. Will chatbots still be the first thing a customer support flow uses (and will it still suck)? Yes.
There's a special place in hell for Substack writers that regurgitate other people's journalism under flashy headlines without contributing anything new.
Every business would love to get rid of customer service agents and replace them with AI, for example. But no business wants to take a CS agent with an 85% accuracy/successful call record and replace it with an AI that's at 40-50%, because the liability would just be too high. Those numbers and that situation is made up, but I think it's going to be that way in lots of industries and situations for now. Adoption will lag the technology, as with most things.