True, with the acknowledgement that this was their plan all along and the research part was always intended to be used as a basis for a product. They just used the term ‘research’ as a workaround that allowed them to do basically whatever to copyrighted materials, fully knowing that they were building a marketable product at every step of their research

I really don’t think so. I do believe OpenAI was founded with genuine good intentions. But around the time it transitioned from a non-profit to a for-profit, those good intentions were getting corrupted, culminating in the OpenAI of today.

The company’s unique structure, with a non-profit’s board of directors controlling the company, was supposed to subdue or prevent short-term gain interests from taking precedence over long-term AI safety and other such things. I don’t know any of the details beyond that. We all know it failed, but I still believe the whole thing was set up in good faith, way back when. Their corruption was a gradual process.

There are little to no arguments FOR AI

Outright not true. There’s so freaking many! Here’s some examples off the top of my head:

• Just today, my sister told me how ChatGPT (her first time using it) identified a song for her based on her vague description of it. She has been looking for this song for months with no success, even though she had pretty good key details: it was a duet, released around 2008-2012, and she even remembered a certain line from it. Other tools simply failed, and ChatGPT found it instantly. AI is just a great tool for these kinds of tasks.
• If you have a huge amount of data to sift through, looking for something specific but that isn’t presented in a specific format - e.g. find all arguments for and against assisted dying in this database of 200,000 articles with no useful tags - then AI is the perfect springboard. It can filter huge datasets down to just a tiny fragment, which is small enough to then be processed by humans.
• Using AI to identify potential problems and pitfalls in your work, which can’t realistically be caught by directly programmed QA tools. I have no particular example in mind right now, unfortunately, but this is a legitimate use case for AI.
• Also today, I stumbled upon Rapid, a map editing tool for OpenStreetMap which uses AI to predict and suggest things to add - with the expectation that the user would make sure the suggestions are good before accepting them. I haven’t formed a full opinion about it in particular (and especially wary because it was made by Facebook), but these kinds of productivity boosters are another legitimate use case for AI. Also in this category is GitHub’s Copilot, which is its own can of worms, but if Copilot’s training data wasn’t stolen the way it was, I don’t think I’d have many problems with it. It looks like a fantastic tool (I’ve never used it myself) with very few downsides for society as a whole. Again, other than the way it was trained.

As for generative AI and pictures especially, I can’t as easily offer non-creepy uses for it, but I recommend you see this video which takes a very frank take on the matter: https://nebula.tv/videos/austinmcconnell-i-used-ai-in-a-video-there-was-backlash if you have access to Nebula, https://www.youtube.com/watch?v=iRSg6gjOOWA otherwise.
Personally I’m still undecided on this sub-topic.

Deepfakes etc. are just plain horrifying, you won’t hear me give them any wiggle room.

Don’t get me wrong - I am not saying OpenAI isn’t today rotten at the core - it is! But that doesn’t mean ALL instances of AI that could ever be are evil.