I think the main problem with searching for fediverse posts is not that they’re not indexed but the lack of a singular tag to append when you want to search for them. To search for reddit posts it was easy because you could put in your keywords and stick ‘reddit’ or ‘site:reddit.com’ onto the end, but now there’s too many domains to keep track of and you can’t rely on appending ‘lemmy’ pointing a search engine towards all Lemmy instances, let alone kbin/mbin instances.
I’ve found a plunger useful for a sink occasionally, a bit of back and forth plunging can loosen up a hairball or break a layer of fat/soap scum. On the other hand I’ve never needed to use a plunger on a toilet - I don’t know how much of this is exaggeration on the internet but Australian toilets don’t seem to have anywhere near the amount of issues the American designs do.
It’d be interesting to see how much this changes if you were to restrict the training dataset to books written in the last twenty years, I suspect the model would be a lot less negative. Older books tend to include stuff which does not fit with modern ideals and it’d be a real struggle to avoid this if such texts are used for training.
For example I was recently reading a couple of the sequels to The Thirty-Nine Steps (written during WW1) and they include multiple instances that really date them to an earlier era with the main character casually throwing out jarringly racist stuff about black South Africans, Germans, the Irish, and basically anyone else who wasn’t properly English. Train an AI on that and you’re introducing the chance for problematic output - and chances are most LLMs have been trained on this series since they’re now public domain and easily available.
I agree, I just thought it worth mentioning that telling people ‘don’t be be a coconut’ has the potential to backfire if you want them to be agreeable to whatever you say next.
Aside from the reference calling someone a coconut is a great way to get them offside if they’ve got brown skin, so I wouldn’t recommend going around saying that title in real life…
Yes, the move towards integrating the infotainment further into the car with propitiatory parts instead of generic sizes and not separating out vehicle related controls is definitely going to make long term upkeep harder.
All cars could last a lot longer if people kept maintaining them and - importantly - didn’t damage them. Electric cars are not going to be immune to this, I can’t see them lasting much longer on average than ICE cars.
Keep in mind that even when you change out the engine for something with less parts the rest of the car still remains and contains things which will eventually cause issues. For example I bought a cheap van a few months ago and here’s some of the reasons it was cheap that are not ICE specific:
Presumably the previous owner just didn’t want to spend the money on fixing these issues as they arose, and eventually it added up into a lot of potential expense (if you have to pay someone to fix it for you) and more reasons to sell the car. Such behaviour seems pretty common in my experience and I fully expect it to continue with EVs. It’ll be hard enough to get people to even maintain their brakes and change the motor coolant considering the natural reluctance of people to spend money on maintenance and this unfortunately prevalent idea that EVs don’t need it.
Funnily enough the main ICE specific problem with that van was just as much an electrical issue as part of the petrol engine - an intermittent secondary air injection error code which ended up being down to a combination of a sticking valve and a fuse with a hairline crack causing an intermittent connection.
Chirp ran fine on Linux when I needed it to program a UV-5R a year or two back - was provided in a flatpak then but looks like they use a Python wheel file now.