I have never understood the appeal of foldables, but I guess with Apple launching them now, they're probably going to see significantly improved software support within the next few years
In Europe, the Fiat Topolino and his siblings are an increasingly common sight (while still being rare).
Relatively cheap, can be charged with a regular 230V socket, tops out at 45kmph. Not as compact as a bike for obvious reasons, but still a substantially smaller footprint than any modern car - and comes with proper weather protection.
My mum will buy one to work (home nurse) while keeping her big car around for larger travel. Especially with gas prices, I think you will see those more and more.
Flatpaks are a common packaging mechanism used on immutable systems. They are very attractive (conceptually) for large org deployments, so I can totally see the appeal here
> The sad truth is that the status quo for GUIs is absolutely terrible, and most were rushed out and not properly tested to check if they're really usable without a mouse.
This is the key point. No platform UI paradigm focuses on keyboard navigability and speed, all focus on mouse and visual effects for discoverability in a pursuit to dumb down the user experience enough to make it usable for everyone, breaking power users in the process (and increasingly also accessibility stacks).
I think the real problem is as computers have become more mainstream, they've become more subject to whims of fashion. Consumer-focused companies don't want to be seen wearing last season's UI paradigm. Just watch Apple change things around...
Interesting given this is the polar opposite of my experience. I find Googles AI overview to give wrong answers constantly. Occasionally, even for questions I believe Google circa 2018 was able to answer confidently.
Ironically, Googles AI overview often links to references that state the polar opposite of what the AI overview claims.
I've seen it answering based on a single Reddit, Stackexchange, or even HN source. Sometimes either incorrectly, or taking some side of a debated technical issue and presenting it like a fact.
Just recently I read that it is futile to make AI give out scores like that, as they are pretty much completely made up. Can't find the article anymore, though.
Depends what you mean by people. Outside of the startup space you'll find commercial RDBMS everywhere, especially OracleDB. Not many are running banks or hospitals on Postgres.
> Not many are running banks or hospitals on Postgres.
Certainly not. But the key here is that not many are running banks or hospitals in the first place.
I work at a big company, we run on SAP as the big commercial DBMS, but also have some oracle instances. By number by far the most widespread commercial RDBMS seems to be SQL Server
Realistically, without running the numbers, only few industries come to mind that may come close. Chemical manufacturing, steel production and maybe glass production as well.
For the remainder, the wage costs - more specifically - the overhead costs are the true killer. If you want to pay someone 80k a year in Germany, the actual costs are closer to 100k a year in purely salary overhead costs, not to mention the other bureaucratic overhead in Germany
it's less more around 94k - IMHO the overhead is the bureaucracy that basically forces you to employ a large amount of non-productive workforce in larger companies just for compliance topics.
I don‘t think someone disputes that this is in the realm of AI/ML. I just think its questionable if this kind of usecase is genuinely something were an LLM is necessary or outshines the more traditional approaches
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