“Enjoys” is not how I would describe it.

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.

Not irrational to be concerned for a number of reasons. Even if local and secure AI image processing and LLMs add fairly significant processing costs to a simple task like this. It means higher requirements for the browser, higher energy use and therefore emissions (noting here that AI has blown Microsoft’s climate mitigation plan our of the water even with some accounting tricks).

Additionally, you have to think about the long term changes to behaviours this will generate. A handy tool for when people forget to produce proper accessible documents suddenly becomes the default way of making accessible documents. Consider two situations: a culture that promotes and enforces content providers to consider different types of consumer and how they will experience the content; they know that unless they spend the 1% extra time making it accessibile for all it will exclude certain people. Now compare that to a situation where AI is pitched as an easy way not to think about the peoples experiences: the AI will sort it. Those two situations imply very different outcomes: in one there is care and thought about difference and diversity and in another there isn’t. Disabled people are an after thought. Within those two different scenarios there’s also massively different energy and emissions requirements because its making every user perform AI to get some alt text rather than generate it at source.

Finally, it worth explaining about Alt texts a bit and how people use them because its not just text descriptions of an image (which AI could indeed likely produce). Alt texts should be used to summarise the salient aspects of the image the author wants a reader to take away for it in a conscise way and sometimes that message might be slightly different for Alt Text users. AI can’t do this because it should be about the message the content creator wants to send and ensuring it’s accessible. As ever with these tech fixes for accessibility the lived experience of people with those needs isn’t actually present. Its an assumed need rather than what they are asking for.

This is a basic represention and inclusion issue. Unless you are actively seeking out voices of those minorities and addressing their concerns you will have a reinforcing loop where behaviour that puts people off engaging will continue and it will continue to limit people from those minorities being involved (and in the worst case causing active harm to some people who end getting involved). From what I understand the behaviour that has been demonstrated and from who those people leaving it is clear this is active issue within Nix. Having a diverse range of people and perspectives will actually make the outputs (software) and community generally better. It’s about recognising the problems in the formal and informal structures you are creating and working to address them.

Additionally, but just to clarify nepotism would be giving positions based on relationships with people in power and not ensuring that your board contains a more representative set of backgrounds and perspectives.

Very interesting, thank you. I guess then the centralised server must have some sort of economy of scale.

In my head, I’m comparing the network to the electricity grid with certain shapes of network making different technologies more or less feasible. I would guess the internet network is probably similar to the electricity grid in most places having fewer hubs and lines of high bandwidth rather than a more evenly distributed network. Maybe the analogy is bad though.

Wait have pandemic done a McCarthy board game suggesting that socialism is a disease to be eradicated?

I suspect this will generate a lot of discussion and opinions on both sides but what I think we lack is a culture of longitudinal data and study. Maybe you are right or maybe dropping new users in the deep end puts them off forever. It would be nice to see some quantative study on the Linux user experience. Does it shift wider tech beliefs or political beleifs?

Its a really interesting question. I wonder what the underlying economics and ideologies are at play with its decline. Economies of scale for large server farms? Desire for control of the content/copyright? Structure and shape of the network?

I guess it has some implications for stream versus download approaches to content?

Can we not use austistic as a pejorative. Thanks

Who knew recommending Distros could be so controversial 😛?

Seriously though I think this is a great flowchart and you took on board the more reasonable suggestions from the intial post. This flowchart now quickly eliminates some of the distro choice anxiety. Worst case a newbie might end up on a distro like mint and then end up migrating to a different one.

One comment I had is that I actually didn’t know what opinionated DE meant without googling despite being a long time Linux user (maybe thats just my ignorance) and I wonder if a newbie might be confused maybe there’s another way of saying it (flexible versus simple?).

Anyway, I really think early me would have appreciated this when I first started even if that would been ultimately “use Ubuntu” back then.

How do you use KDEConnect for productivity? I am currently planning a move to KDE Plasma from Gnome (when 6 comes out).

Avoiding going on yt is definitely a plus. I am trying to move more to active choice of music rather than just what the algorithm is pushing. Obviously that requires upfront work but I think it’s worth it.

Useful, I’m open to non-FOSS if I really have to and no networking helps.

It’s on the list to try. I briefly tried i3 but couldn’t get on with it. Though that was a bad time to try change as there was a lot of deadlines and I didn’t really have the time to learn. I have a bit more time so I’m going to try again.

I worry I’m not “hardcore” enough for emacs (I have tried in the past and now mostly use Vim). I will give it a try though as quite a few people recommend here!

Useful suggestions, thank you!

I’m going to try some of the more FOSS options (I’m on Joplin at the moment) first but if they don’t work out I’m going to give Obsidian a try.

This sounds interesting I did have some success with Pomodoro but stopped for some reason. I’ll try flowtime out, thanks!

These are all excellent suggestions and your username is very apt :)

My read it now is just save as epub and at some point send over to ereader so Omnivore could help me a lot.

Looks interesting, thanks I’ll check it out!

These are really useful suggestions, thanks!

Particularly excited about Trillium. I’m current trying Joplin but labour and time reflect and organize the noted means I’m rarely using it effectively.

Habitica sounds interesting. I definitely feel I need something like that. My struggle sometimes is in splitting projects into bitesize chunks (some are easier than others) some of my work can be quite open ended thought projects. I get caught in a trap of doing the easier work to plan work (like coding) rather than necessarily the most urgent.