AI is basically ml at this point. And it did already A LOT.
Whisper, great jump in quality for speech to text, segment anything, AlphaFold 2, all the research paper Nvidia publishes regarding character movement, AI Raytracing, Nerfs, all the medical research regarding radio imagin, advances in fusion reactors...
We have never been so close to a basic AI/AGI / modern robots. we have instructGPT which allows for understanding 'steps' easier and more stable than anything we developed before in multip languages.
ChatGPT and LLM advances are great and helpful.
Image generation is already poping up in normal life.
AI is not wildly overhyped at this point. We are in the middle of implementation after the first LLM breakthrough and a LOT more money is funnelt into AI/ML research now as it was 10 years ago.
The future is, at least for now, really interesting and there has not been any sign of a wall we are hitting.
Even the missing GPT-5 might feel like a slight wall, but we just got GPT4-o mini which makes all of the LLM greatness a LOT cheaper and a lot easier to use.
We switched from text parsing and avg bad results to just using llama3 (with a little bit of saveguarding) and its a lot better.
Really? where ?
In my company we even have a LoRa for a specific company style of images (icons and similiar)
really curious about this. do you have an example link by anychance
Its a german news site for it people.
But i have seen ai image already on the street, unfortunate i was in public transport and not able to take a picture fast enough when i saw it and i currently work most of the time from home.
Your account is 3 days old, you haven’t read anything over and over again.
I just create a new account to get away from fomo and add a little bit more effort to commenting.
But as you can see, it doesn't work very well
For my uses, I find AI to be a much better search/answer engine than Google ever was. It can produce answers with hyperlinks for further reading much better and more efficiently than any other option. I no longer have to read through a bunch of seemingly random Google search results, hoping that my specific question is addressed.
As it happens, I've just been using it this weekend to write code for me. Two things:
(1) it's not business critical code, it's a side project that I want to get done but otherwise wouldn't have energy for. Especially not in this heatwave in a century old building that has no air-con.
(2) my experiments are a weird mix of ChatGPT wildly messing things up and it managing to get basically everything done to an acceptable result (not quality of code, quality of output). Sometimes I have the same experience as you, that it's just aggravating in its non-comprehension, sometimes it's magical.
I don't know if it can be magical more often if I was "better at prompting". But I do know that I also get aggravated (less often) by other humans not understanding me, and those are much harder to roll back to a previous point in the conversation, edit the prompt, and have them try again :P
As for code quality… well, sure. Stuff I'm asking ChatGPT for is python and JavaScript, and I'm an iOS dev. I can't tell when it's doing something non-idiomatic, or using an obsolete library or archaic pattern in those languages.
That being said, I often come in a situation that its not the code that is bad but the solution. Where I need to tell the LLM that it's not logical to do it in a certain way leveraging on my own knowledge.
Nonethless, try looking more left and right. There are really good opensource solutions which can surfe the web for you like stormai, Or you can use anythingllm and give it all your local files.
You can write your tips and tricks, start commands, upgrade procedures etc. in Markdown and reference it through your local LLM.
I like it for coding specifically for languages or things i write seldomly (i'm not coding every day but did for 15 years).
Nonetheless, googles internal code review tool is already suggesting things which are getting accepted by more than 50%. Thats a lot and will only get better. GitHub with Copilot will also just get better every day too. They probably struggled (as the whole industry) with actually getting used to having ML stuff in our ecosystem. Its still relativly new.
Most non-tech people think AI is no different to “algorithms” and is just another IT buzzword that means “computer people click a few buttons and it does all the work for them”.