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I’m already completely bored with 4, so can’t wait to see what 5 brings.

How? I mean my “wonder”-factor has probably decreased but it’s an integral tool for me.

CLI one-liners or simple scripts are probably my main use-case. So many things I always knew were possible (and implemented in some cases in the past) but often avoided since I wasn’t sure if it would pay off that now I can do with ChatGPT. Simple things like “benchmark this endpoint and output the min/max/avg/p99 stats every 10 requests with a rolling window of 100 requests”, no it’s not hard to write that but often I just wouldn’t have to time to test out a theory so I’d skip this.

I’ve lost count (easily over 30+) times I’ve dealt with a production issue using ChatGPT to write something to better analyze the problem (parsing stuff out of logs often). A whole slew of “I wonder if…” questions that I’m able to answer in <2min vs having to spend 10-15+ if I did it all manually.

No, it’s not perfect and sometimes I need to go back and forth a few times but the overall speed up using ChatGPT is significant.

> how?

They nerfed it at Dev Day in November. It’s just no longer the magic tool it was before than anymore. It’s ok for maybe one shot problems or refactors of small functions but the version where you could in an hour work back and forth with it and build something moderately complex from scratch is dead and often some of the generations just waste time rather than solve the problem.

I don't know that I'd say they nerfed it exactly. They made some tradeoffs you don't like. The old GPT4 had more personality, was more flexible in its responses and would go on for longer. The new GPT4 is more consistently helpful and does a better job of presenting small-form answers neatly, but the alignment has definitely had an impact for a lot of use cases.

Is there real proof of this? I’d love to read more about it because I’ve been so frustrated the last few months.

How quickly humans seek more and more. A year ago GPT-4 was earth shattering and now people are bored with it.

> A year ago GPT-4 was earth shattering

No it was not, and nor were its predecessors.

The only people who think GPT is "earth shattering" are rose-tinted-spectacle AI dreamers, and the world's media who love a good AI story.

Anyone sensible can see that GPT is merely the latest iteration in "AI will rule the world" nonsense. It comes round every 5–10 years, I remember most of the previous hyped up iterations, this one is no different, its just the hype is sadly sticker this time round. Its still hype though.

I work in the industry and not sure what you do but 5-10 years ago there was definitely "AI" and lots of hype in ML but the output potential was no where what it is today. GPT-4 is indeed earth shattering in what you can now automate.

> GPT-4 is indeed earth shattering in what you can now automate

Just because you can, doesn't mean you should.

Companies using AI to automate "customer service" ? I encounter that regularly in my daily life these days. Its shit. The "intellligent" robot is always a useless waste of time.

I understand your frustration but I suspect you are interfacing with some of the older style systems and not one built on top of GPT4.

I think in cases of new LLM implementations you can and should.

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