Reminder that we don’t even have AI yet, just learning machine models, which are not the same thing despite wide misuse of the term AI.

“Good moment” for apple to announce their AI shit

I get that AI has many problems but at the same time the potential it has is immense, especially as an assistant on personal computers

[Citation needed]

Gnome and other desktops need to start working on integrating FOSS AI models so that we don’t become obsolete.

And this mentality is exactly what AI sceptics criticise. The whole reason why the AI arms race is going on is because every company/organisation seems convinced that sci-fi like AI is right behind the corner, and the first one to get it will capture 100% of the market in their walled garden while everyone else fades into obscurity. They’re all so obsessed with this that they don’t see a problem with putting in charge a virtual dumbass that is constantly wrong.

I’d argue that if you exactly call the model you refer to by their actual name, you’ll get much different reactions. For instance, expert systems have been around for a long while.

I don’t like AI because it’s literally not AI. I know damn well that it is just a data scraping tool that throws a bunch of ‘probably right’ sentences or images into a proverbial blender and spits out an answer that has no actual comprehension or consistency behind it. It takes only an incredibly basic knowledge of computers and brains to know that we cannot make an actual intelligent program using the Von Neumann style of computer.

I have absolutely no interest in technology being sold to me based on a lie. And if we’re not calling this out for the lie it is, then it’s going to just keep getting pushed by people trying to make money off the concept at the stock market.

One of the main things that turns people off when the topic of “AI” comes up is the absolutely ridiculous level of hype it gets. For instance, people claiming that current LLMs are a revolution comparable to the invention of the printing press, and that they have such immense potential that if you don’t cram them into every product you can all your software will soon be obsolete.

I won’t rehash the arguments around “AI” that others are best placed to make.

My main issue is AI as a term is basically a marketing one to convince people that these tools do something they don’t and its causing real harm. Its redirecting resources and attention onto a very narrow subset of tools replacing other less intensive tools. There are significant impacts to these tools (during an existential crisis around our use and consumption of energy). There are some really good targeted uses of machine learning techniques but they are being drowned out by a hype train that is determined to make the general public think that we have or are near Data from Star Trek.

Addtionally, as others have said the current state of “AI” has a very anti FOSS ethos. With big firms using and misusing their monopolies to steal, borrow and coopt data that isn’t theirs to build something that contains that’s data but is their copyright. Some of this data is intensely personal and sensitive and the original intent behind the sharing is not for training a model which may in certain circumstances spit out that data verbatim.

Lastly, since you use the term Luddite. Its worth actually engaging with what that movement was about. Whilst its pitched now as generic anti-technology backlash in fact it was a movement of people who saw what the priorities and choices in the new technology meant for them: the people that didn’t own the technology and would get worse living and work conditions as a result. As it turned out they were almost exactly correct in thier predictions. They are indeed worth thinking about as allegory for the moment we find ourselves in. How do ordinary people want this technology to change our lives? Who do we want to control it? Given its implications for our climate needs can we afford to use it now, if so for what purposes?

Personally, I can’t wait for the hype train to pop (or maybe depart?) so we can get back to rational discussions about the best uses of machine learning (and computing in general) for the betterment of all rather than the enrichment of a few.

Using an Al-less desktop may be akin to hand copying books after the printing press revolution.

Or perhaps not.