Large Language Models (such as GPT) and AI image generators.
I follow certain AI related post tags on Tumblr and sometimes I see people expressing pure hatred towards these tools, as they only see the AIs as content thieves.
I don’t mind the tool itself if you use it as such. I do mind when people use its output as the final product. See: the lawyer who used chatgpt for a legal brief
The lawyer fuck up is what happens when someone doesn’t know or understand the limitations of a LLM.
If you want a GPT model tailored and specialized for a specific task, you have to train it with custom data, fine tune it and tweak the model’s parameters. You cannot do that from the ChatGPT web/app, you need a custom implementation coded in Python or some other language.
There are some uis that allow for fine tuning (assuming you have an extremely high end rig designed for ml). For example ChatGPT alternative and DALLE alternative.
Thanks. I have a quite powerful rig, but at the moment I work with OpenAI’s API using GPT 3.5 Turbo using a custom (but shitty) Python script with a simple Gradio web interface. However, I mostly stopped improving or updating it months ago. As long as I don’t use LlamaIndex, the cost is quite low.
I’m glad you understand my point.
Chatgpt is not Google. It’s a language model that will give you something that looks like the thing you asked for it to provide. It can and will pull facts out of its recycle bin if it fits the cadence of what it expects the answer to look like.
ChatGPT is not Google, but sometimes it can work as a glorified search engine or even compete with asking in forums.
I’ve lost count of how many times ChatGPT has produced Bash or Python code for what I needed. Yes, sometimes the code is wrong and/or requires tweaking and sometimes I resorted to look into the documentation, but no one will answer faster and anytime of the day like ChatGPT does, at least not for free.
It’s a tool to aid in creating a product, not a tool that magics out a finished product. That’s my point.
Too many people use it as the latter instead of the former.
The person you first replied to asked you to see the legal brief as an example of why they mind using the output as the finished product. You then asked for an explanation. To which I asked you, hey, have you actually looked at that example? You have not.
What exactly do you want here, other than be argumentative for combative reasons?
Letting a language model do the work of thinking is like building a house and using a circular saw to put nails in.
It will do it but you should not trust the results.
It is not Google. It can, will, and has made up facts as long as it fits the format expected
Not at the very least proof reading and fact checking the output is beyond lazy and a terrible use of a tool. Using it to create the end product instead of as a tool to use in creation of an end product are two very different things.
As an artist I think it’s a more complicated issue than a lot of people are making it out to be, and all the fearmongering some popular artists are promoting really doesn’t help.
I think it’s a more complicated issue than a lot of people are making it out to be
Agree.
Also. People are pissed that what they have taken years to master others can now get close to replicate with little effort and time.
I’ve just realized that although they call the AIs “content thieves”, what they really feel is that as AIs are able to replicate their skills quickly, it makes them feel their own merit diminished.
If an artist creates artwork inspired on some other artist eveyone’s cool; if an AI does the same, then it’s stolen work even if the generated image is a unique new one.
You sound like you’ve already closed your mind to the discussion, but in case you’re actually still willing to healthily engage in the discussion here is a really good video about why calling people who utilize AI in their work “hacks and grifters” is a very narrow minded (and often factually incorrect) way of looking at AI utilization.
LLM is way overhyped. So if your boss bought into that hype you’re gonna have a certain amount of animosity towards it. I’m a developer and it can be helpful at times, but managers seem to think it can write software on its own.
It’s basically an iterative improvement over a search engine, but unlike a search engine it cuts off the people creating the content it’s scraping from any kind of revenue stream.
And yeah there’s some real problems with it stealing content. Which isn’t being addressed at all. And bringing up these issues tend to get treated like Luddites by those that have bought into the hype.
I wouldn’t say “hate”, to me it’s more… so what? They’re really bad at what they do, only impressive at first glance. Not bad for some brainstorming, but then you end up with a facsimile of what the actual result would be, and now have to use that as a guideline to create the result.
IMO they’re not bad, but they require a lot of tweaking and trial and error.
I’ve learnt some Python thanks to ChatGPT’s help. When I say “some” I mean that I was able to create a custom implementation that uses a web interface and custom tools. The more lI learnt, the less I needed ChatGPT, but I always require some more coding help.
However, these LLMs are not sentient super smart AIs.
Large Language Models (such as GPT) and AI image generators.
I follow certain AI related post tags on Tumblr and sometimes I see people expressing pure hatred towards these tools, as they only see the AIs as content thieves.
I don’t mind the tool itself if you use it as such. I do mind when people use its output as the final product. See: the lawyer who used chatgpt for a legal brief
The lawyer fuck up is what happens when someone doesn’t know or understand the limitations of a LLM.
If you want a GPT model tailored and specialized for a specific task, you have to train it with custom data, fine tune it and tweak the model’s parameters. You cannot do that from the ChatGPT web/app, you need a custom implementation coded in Python or some other language.
There are some uis that allow for fine tuning (assuming you have an extremely high end rig designed for ml). For example ChatGPT alternative and DALLE alternative.
Thanks. I have a quite powerful rig, but at the moment I work with OpenAI’s API using GPT 3.5 Turbo using a custom (but shitty) Python script with a simple Gradio web interface. However, I mostly stopped improving or updating it months ago. As long as I don’t use LlamaIndex, the cost is quite low.
I already use Stable Diffusion WebUI, tho.
Also the “fine tuning” I was talking about is this https://platform.openai.com/docs/guides/fine-tuning
I am aware what fine tuning is. It is available from the train tab while the base checkpoint is loaded in both cases.
I’m glad you understand my point. Chatgpt is not Google. It’s a language model that will give you something that looks like the thing you asked for it to provide. It can and will pull facts out of its recycle bin if it fits the cadence of what it expects the answer to look like.
ChatGPT is not Google, but sometimes it can work as a glorified search engine or even compete with asking in forums.
I’ve lost count of how many times ChatGPT has produced Bash or Python code for what I needed. Yes, sometimes the code is wrong and/or requires tweaking and sometimes I resorted to look into the documentation, but no one will answer faster and anytime of the day like ChatGPT does, at least not for free.
It’s a tool to aid in creating a product, not a tool that magics out a finished product. That’s my point. Too many people use it as the latter instead of the former.
100% agree.
Maybe, with lots of training, weaking and testing the latter could be achieved, but that’s it.
Why do you mind that?
Have you seen that legal brief?
No. Communicate please and we can have a real conversation.
The person you first replied to asked you to see the legal brief as an example of why they mind using the output as the finished product. You then asked for an explanation. To which I asked you, hey, have you actually looked at that example? You have not.
What exactly do you want here, other than be argumentative for combative reasons?
Letting a language model do the work of thinking is like building a house and using a circular saw to put nails in. It will do it but you should not trust the results.
It is not Google. It can, will, and has made up facts as long as it fits the format expected
Not at the very least proof reading and fact checking the output is beyond lazy and a terrible use of a tool. Using it to create the end product instead of as a tool to use in creation of an end product are two very different things.
As an artist I think it’s a more complicated issue than a lot of people are making it out to be, and all the fearmongering some popular artists are promoting really doesn’t help.
Agree.
Also. People are pissed that what they have taken years to master others can now get close to replicate with little effort and time.
I’ve just realized that although they call the AIs “content thieves”, what they really feel is that as AIs are able to replicate their skills quickly, it makes them feel their own merit diminished.
If an artist creates artwork inspired on some other artist eveyone’s cool; if an AI does the same, then it’s stolen work even if the generated image is a unique new one.
deleted by creator
You sound like you’ve already closed your mind to the discussion, but in case you’re actually still willing to healthily engage in the discussion here is a really good video about why calling people who utilize AI in their work “hacks and grifters” is a very narrow minded (and often factually incorrect) way of looking at AI utilization.
LLM is way overhyped. So if your boss bought into that hype you’re gonna have a certain amount of animosity towards it. I’m a developer and it can be helpful at times, but managers seem to think it can write software on its own.
It’s basically an iterative improvement over a search engine, but unlike a search engine it cuts off the people creating the content it’s scraping from any kind of revenue stream.
And yeah there’s some real problems with it stealing content. Which isn’t being addressed at all. And bringing up these issues tend to get treated like Luddites by those that have bought into the hype.
I wouldn’t say “hate”, to me it’s more… so what? They’re really bad at what they do, only impressive at first glance. Not bad for some brainstorming, but then you end up with a facsimile of what the actual result would be, and now have to use that as a guideline to create the result.
IMO they’re not bad, but they require a lot of tweaking and trial and error.
I’ve learnt some Python thanks to ChatGPT’s help. When I say “some” I mean that I was able to create a custom implementation that uses a web interface and custom tools. The more lI learnt, the less I needed ChatGPT, but I always require some more coding help.
However, these LLMs are not sentient super smart AIs.