I sure hope so, but I have little faith tbh. Cloud providers have done a great job selling serverless solutions that are tightly coupled with the provider. Wise companies have limited themselves to the basics - load balancers, servers, maybe some serverless container solution or kubernetes. The latter can move pretty much anywhere with some, but not a whole lot, of effort. The former, have fun rediscovering the quirks of your new provider’s equivalent of lambdas or whatever (or at worst, rewriting the whole thing).

In Sweden we’ve been able to do this for years? Any site that has Klarna as a payment option you can choose to add it to your monthly bill or the “pay it later” (I think two weeks) option.

There’s a non-zero % chance that a nazi with ties to the government and unlimited money might be interested in this data… 👀

I think there is a skill set that’s required to use AI efficiently. You need to know what kind of problems they’re suitable for, be able to recognise when it’s going in circles or hallucinating and you need to be able to troubleshoot and understand whatever it’s outputting. Personally I’ve found it quite useful in many cases.

A team with one creative and one gets things done is not too bad. I’d take the headline with a grain of salt since AI are known to not always get things done and sometimes will lead their pilots around in circles for no good reason, but still, they don’t really need to be creative to beat most teams.

My experience with Matrix is that the federation itself is a deal breaker. I have a pretty beefy server and good connection which was getting ddosed by running Matrix and timing out on so many requests for avatars/profiles etc. Maybe I did something wrong, but the whole experience rendered me quite skeptical to the viability of it as a federated chat.

That said I’ve had nothing but good experiences using it with big servers set up by pros.

Not sure how you read pride into this at all, the implication is that if they don’t know about it it’s not a choice, while at the same time acknowledging that perhaps I’m just out of the loop.

Did they really? I assume they would do more research than me when choosing tech, but my initial reaction is “the fuck is a Jami?”. Is this a big app in recent years?

The one good thing I could think of is that Firefox could come under new management. But then again, how that management will be funded I don’t know. Likely they will run in to the same problem as Mozilla.

Totally get it. I love my Garmin, but would prefer a classic dumb watch over a Galaxy Watch (which I had before) or any other that requires charging more than once every week and which I wouldn’t be comfortable with getting wet (even though they should handle it well).

Notifications are the main feature for me, I was never a heavy smart phone user and the notifications on my watch allow me to pay even less attention to my phone. In addition I can deal with deletion of unwanted emails immediately instead of doing them in bulk every few days like I would otherwise. Saves me a lot of stress, YMMV.

Lemmy has thunder?

Problem is that Trump is on the oil companies’ pay rolls. Unfortunately he’s subsidizing them instead of Tesla.

https://www.theverge.com/news/617235/the-gsa-is-shutting-down-its-ev-chargers-calling-them-not-mission-critical

https://www.theverge.com/2025/1/22/24349650/trump-ev-tax-credit-tariff-congress

Does selfhosting movement include using non-commercial instances of apps like mastodon/lemmy/matrix etc?

What are people’s opinion on this, good or bad? I have a somewhat favorable view of IBM in open source, but not sure where I got it (so it might be misplaced).

IMO, there’s much bigger reasons to be worried about RedNote than security or even privacy.

What are those reasons?

woke_mind_virus deleted rm -rf… wow this guy sure knows his UNIX!

Took me a second to realise the title’s refering to “AI slop”, my inital reaction was something like “I know, it’s always been slop”.

They didn’t make a video about it because they thought it was a problem for creators, not a problem for consumers.

Which is true. Influencers are great at making their thing your thing, because that’s kind of their job, and we’ve seen it many times before. Just look at all the outrage about the YouTube algorithm and such, it doesn’t matter to anyone except influencers but somehow it’s made to be everybody’s business.

This feels very similar. Scummy business practice, good on them for suing, but to the rest of us it should only be a curiosity.

I think you’re spot on with LLMs being mostly trained on these kinds of tasks. Can’t say I’m an expert in how to build a training set, but I imagine it’s quite easy to do with these kinds of problems because it’s easy to classify a solution as correct or incorrect. This is in contrast to larger problems which are less guided by algorithmic efficiency and more by sound design/architecture.

Still, I think it’s quite impressive. You don’t have to go very far back in time to have top of the line LLMs unable to solve these kinds of problems.

Also there is no big consequence if they don’t and it’s probably possible to bruteforce (which is how many programming tasks have been solved).

Usually with AoC part 1 is brute-forceable, but part 2 is not. Very often part 1 is to find the 100th number, and part 2 is to find the 1 000 000 000 000th number or something. Last year, out of curiosity, I had a brute-force solution for one problem that successfully completed on ~90% of the input. Solution was multi-threaded and running on a 16 core CPU for about 20 days before I gave up. But the LLMs this year (not sure if this was a problem last year) are in the top list of fastest users to solve the problems.

I hardly see it changed to be honest. I work in the field too and I can imagine LLMs being good at producing decent boilerplate straight out of documentation, but nothing more complex than that.

I think one of the top lists on advent of code this year is a cheater that fully automated the solutions using LLMs. Not sure which LLM though, I use LLMs quite a bit and ChatGPT 4o frequently tells me nonsense like “perhaps subtracting by zero is affecting your results” (issues I thought were already gone in GPT 4, but I guess not, Sonnet 3.5 does a bit better in this regard).