Personally, I'm planning additional physical storage of photos off site. Not yet configured but planning for a subset of photos deemed too important to lose to be automatically printed and stored on physical media (DVDs).

In general I'm hoping it to promote a more careful approach to what media really is important to keep.

Oh then I was being dense. I actually use kg because I'm of a generation that was only taught that and have no internal conception of stones :(

British people are annoying more likely to reply in imperial units to this question.

It doesn't solve the energy and emissions crisis we are facing but sure.

According to that site you can downgrade the firmware (some people really disliked the various UI changes and the firmware is getting quite prescriptive)

You can also run your own homebrew apps so I found someone who installed KOReader which they claim is better experience than default reader especially for pdfs and also link better to personal cloud storage.

There's also ability to use locally stored Web Application Frameworks but I'm not 100% sure what the use case would be.

It is probably good that OS community are exploring this however I'm not sure the technology is ready (or will ever be maybe) and it potentially undermines the labour intensive activity of producing high quality subtitling for accessibility.

I use them quite a lot and I've noticed they really struggle on key things like regional/national dialects, subject specific words and situations where context would allow improvement (e.g. a word invented solely in the universe of the media). So it's probably managing 95% accuracy which is that danger zone where its good enough that no one checks it but bad enough that it can be really confusing if you are reliant on then. If we care about accessibility we need to care about it being high quality.

"Enjoys" is not how I would describe it.

This is from The Prestige by Christopher Priest in case any one wonders. It's a good book!

It is quite hard to track down but here's it being reported by the head of modelling at P&G in 2006

https://www.hpcwire.com/2006/05/05/high_performance_potato_chips/

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 to be too negative but begging for drivers to consider us human is so tiresome.

We already know how to nearly eliminate road death. Unbundling the modes (segregation) and treating cars as guests where that's not possible. After that treat infractions by drivers seriously. If you can't drive safely your license should be removed. No more arguing in court that you need to drive to get to work.

This isn't uncommon in lots of physics calculations where you are working at the same scales a lot and its cumbersome to keep carrying the constants around and it adds risk of making a mistake.

Think of it as assuming you are working in a system of units where you measure all your speeds relative to the speed of light. So rather than saying the speed limit of a road is 30mph you would say its .000000045c.