That’s frankly mind blowing. About as much as parallel-collections gaining support for scala-native in the recent days, with the PR not even touching a single line of code (only through build configuration). The scala ecosystem is way under-appreciated :-)

I’ve compared the two a while ago, seems to me like slightly different takes around the same core ideas. It’s true that a couple of things in Ansel feel more natural, but it’s not much, and it’s probably not worth the risk (AFAICT the bus factor is one, compat with DT isn’t a goal).

Darktable developers pride themselves for their non-destructive processing pipeline and use it as an excuse for how quirky and inflexible their UX is. I believe they are highly competent on the highly technical bits that ultimately very few people see or understand. Personally I can use it to an extent if I unlearn what other software have taught me over decades of UX conventions.

Isn’t that the essence of the issue, that those models are loaded with biases, that might or might not overlap with dominant ones in inscrutable ways, hence producing new levels of confusion and indirection?

This is Microsoft enshittifying the platform they acquired to squeeze more revenue. But this is totally fine, because as user hostile and evil as the Microsoft corporation measurably is, they made a cute jpg few years ago about loving opensource or something (yeah, I know, those are different things, but I’m calling out their PR bullshit and the usual bootlickers)

I’ll bet people said the same thing when Intellisense started suggesting lines completions.

I’m sure many did, but I’m also pretty sure it’s easy to draw a line between code assistance and LLM-infused code generation.

If you have the impression that there’s a dominant, homogeneous “mass” sharing the same opinion, you are right there in the middle of an information bubble and a victim of those “algorithms”.

Would that make a difference?

I’d like to share your optimism, but what you suggest leaving us to “deal with” isn’t “AI” (which has been present in web search for decades as increasingly clever summarization techniques…) but LLMs, a very specific and especially inscrutable class of AI which has been designed for “sounding convincing”, without care for correctness or truthfulness. Effectively, more humans’ time will be wasted reading invented or counterfeit stories (with no easy way to tell); first-hand information will be harder to source and acknowledge by being increasingly diluted into the AI-generated noise.

I also haven’t seen any practical advantage to using LLM prompts vs. traditional search engines in the general case: you end up typing more, for the sake of “babysitting” the LLM, and get more to read as a result (which is, again, aggravated by the fact that you are now given a single source/one-sided view on the matter, without citation, reference nor reproducible step to this conclusion).

Last but not least, LLMs are an environmental disaster in the making, the computational cost is enormous (in new hardware and electricity), and we are at a point where all companies partaking in this new gold rush are selling us a solution in need of a problem, every one of them having to justify the expenditure (so far, none is making a profit out of it, which is the first step towards offsetting the incurred pollution).

You can always give a shot at using a third party client (possibly acting as bridge for other/better protocols, like e.g. slidge.im>xmpp or the buggy matrix equivalent), but you need to keep in mind that they will all require you to authenticate (and remain authenticated) using a smartphone, and that usage of 3rd party clients is forbidden from WA’s terms and conditions (which may lead to your account being blocked/deleted).

Russia supplied 77 per cent of China’s purchases

Not exactly a surprise, then. And good luck for the Russian’s arm industry bouncing back, considering its performance on the battlefield and its interleaving with western tech that it hasn’t managed to decouple itself from since 2014. China’s only taking a reasonable stance there.

and how much of this troubled history is linked to Java Applets/native browsers extensions, and how much of it is relevant today?

Yep but:

• it’s one runtime, so patching a CVE patches it for all programs (vs patching each and every program individually)

• graalvm is taking care of enabling java to run on java

Or rather a Dunning Kruger issue: seniors having spent a significant time architecturing and debugging complex applications tend to be big proponents for things like rust.

Why? What’s wrong with safe, managed and fast languages?

I’m with you. Hg-git still is to this day the best git UI I know…

Report, as disinformation/propaganda/not news, hoping mods are not looking the other way

The important figure isn’t the total, but the fraction of GDP that goes into real estate, which is disproportionate in the case of China, for the reasons I mentioned, and more (another major one being the land leased by local governments to serve as their de facto revenue stream)

I have no idea what this is about, but was kotlin native considered here? And what ruled it out in favour of rust?

I’ve seen multiple JVM languages going the route of AOT/native compilation and now taking the spot of systems languages in some use cases (CLI utils, low footprint “cloud native” stacks, things requiring tight os-level integration) with often outstanding performance.

Not like “many other countries” but expectedly much worse: real estate has been de facto where most Chinese have been concentrating their wealth as “investment” in the absence of better local alternatives and the inability to invest abroad.