Right now it's a good but limited tool if you know how to use it. But it can't really do anything a professional in a given field can't do already. Alhough it may be a bit quicker at certain task there is always a risk of errors sneaking in that can become a headache later.

So right now I don't think it's a necessary tool. In the future I think it will become necessary, but at that point I don't think it will require much skill to use anymore as it will be much better at both understanding and actually accomplishing what you want. Right now the skill in using GPT4 is mostly in being able to work around it's limitations.

Speculation time!

I don't think the point where it will be both necessary and easy to use will be far of tbh. I'm not talking about AGI or anything close to that, but I think all that is necessary for it to reach that point is a version of GPT4 that is consistent over long code generation, is able to better plan out it's work and then follow that plan for a long time.

That's like asking in the early 90's if knowing how to use a search engine will be a required skill.

Without a doubt. Just don't rely on it for your own professional knowledge, use it to get the busywork done and automate where you can. I have virtually replaced my search engine needs with Bing AI when troubleshooting at work because it can find PDF manuals for obscure network hardware faster than I can shift through the first five pages of a Google search. It's also one of those things where the skill of the operator can change the output from garbage to gold. If you can't describe your problem or articulate what you want the solution to look like, then your AI is going to be just as clueless.

I don't know what the future will hold and how much of our white collar workforce will be replaced by AI in the coming decades, but our cloud and automation engineers are not only leveraging LLM models but actively programming and training in-house models on company data. Bottom rung data entry is going the way of the dodo in the next ten years for sure. Programmers will likely see the same change that translators did after translation software was developed, they moved from doing the job themselves to QA'ing the software.

Times are changing but getting onboard with using AI as well as learning how to integrate it will be the next big thing in the IT world. It's not going to replace us anytime soon but it will reduce the workforce as the years go by.

Ahhh that certainly makes more sense. But now I'm kinda pissed at him for acting like some authority in the field up front to say "oh no ChatGPT is just so good" just to then admit that he's closer to the non-programmer side of the scale, but that may just be my residual rage from trying to stomach that article bleeding through.

I'm excited for it for the same reasons.

I don't have skill in art or coding.

But AI platforms have let me produce things that work for my personal needs that would be beyond my abilities before starting the project.

I mean it does, it just can't yet.

That's why you should always verify the information with other sources. Just like information you get from any other website/person. It's not any different.

TBH, if you can't almost instantly figure out why and how ChatGPT suggested bad code, you shouldn't be using it at all - you're out of depth.

It's why I'll gladly use it to suggest markdown or C code, but never for a complex Python library.

Blaming the AI for misinformation is like blaming Google for giving you bad search results.

Learn how to parse the data and fact check it. Usually you can get a hyperlink to the source to see if it's even reasonably trustworthy.

Nice.

Readers, note performance won’t match GPT-4. You can see the leaderboard then compare some of the available GPT4All models side-by-side. They may be sufficient for your needs.