In different ways. For example, it’s very rare for a car to explode in a collision, other than in movies.

One of the reasons that make hydrogen difficult to work with in this sense is that hydrogen (H₂) molecules are so small that they can permeate most materials, such as steel. Then it can get somewhat easily to wherever there is a spark, and chaos ensues. Annoyingly you don’t even need 100% Hydrogen for that to happen, as it can ignite with a concentration of just 4%.

After we stopped using Hydrogen mostly as a consequence of Hindenburg’s accident, it’s taken years to perfect hydrogen fuel cells to a safety standard that can be used in cars. As far as I know, its use has been limited to rockets/space propulsion otherwise (where you can just throw millions at the problem to make it safer).

Only 6M €? For an event of that size that feels a lot cheaper than I would have thought.

What you’re saying absolutely makes sense. However as someone with ADHD I couldn’t relate any less, I wish I could get addicted to something like that and not lose interest after ten minutes!

Even assuming we’re okay with using AI for language learning - then why would anyone pay for Duolingo instead of the many LLMs that people already use and pay for?

They’ve alienated their customer base hard. And this marketing video pretending they are siding with the users and against “their corporate overlords” is horribly tone deaf.

In my view it’s a Linux subsystem for Windows.

Why the name is the other way around, I’ll never understand.

It’s okay. We can all play that game. I’ve replaced my use of Duolingo with AI.

Pro tip: have as your “system prompt” in your LLM of choice “at the end of every query, include me a short Swedish relates to my prompt”. No need for Duolingo.

“There are some bad things on the internet”

“Just… Don’t use the internet?”

I’ve only started using Storygraph recently (which I also like) but I’d consider a federated alternative. Does anybody know whether its possible to migrate the history from SG to Bookwyrm?

Excellent in which specific sense? Most competitors offer better everything (performance, range, build quality) for a given price point.

The fact that Tesla has managed to make EVs that consistently rank below most ICE brands in terms of reliability is mind blowing.

Over the past 5 years, I’ve installed ubuntu about 30 times on different computers. Not once has an install on an SSD taken me more than an hour, with it typically taking me 30 minutes or less except for rare occasions where I’ve messed something up.

PREGANANANT

It’s the other way around, an Apple Silicon Mac would be able to run an intel binary through Rosetta (I think there’s almost no exceptions at this point). It’s intel macs that can’t run Arm specific binaries.

I thought a few days ago that my “new” laptop (M2 Pro MBP) is now almost 2 years old. The damn thing still feels new.

I really dislike Apple but the Apple Silicon processors are so worth it to me. The performance-battery life combination is ridiculously good.

It’s UE in Spanish, from Unión Europea. (Non-doubled letters because it’s a single Union, there’s no plural like in “States”).

Sometimes people in Spain do use the English acronyms for both EU/USA, but I don’t think I’ve seen it often. Both UE and EEUU are more common from what I’ve seen, and also people rarely say these out loud, it’s exclusively a written language problem.

I’m talking about running them in GPU, which favours the GPU even when the comparison is between an AMD Epyc and a mediocre GPU.

If you want to run a large version of deepseek R1 locally, with many quantized models being over 50GB, I think the cheapest Nvidia GPU that fits the bill is an A100 which you might find used for 6K.

For well under that price you can get a whole Mac Studio with those 192 GB the first poster in this thread mentioned.

I’m not saying this is for everyone, it’s certainly not for me, but I don’t think we can dismiss that there is a real niche where Apple has a genuine value proposition.

My old flatmate has a PhD in NLP and used to work in research, and he’d have gotten soooo much use out of >100 GB of RAM accessible to the GPU.

If it’s for AI, loading huge models is something you can do with Macs but not easily in any other way.

I’m not saying many people have a use case at all for them, but if you have a use case where you want to run 60 GB models locally, a whole 192GB Mac Studio is cheaper than the GPU alone you need to run that if you were getting it from Nvidia.

So the lack of apple-branded AI Slop is slowing down the sales for iPhones but not for Macs?

Edit for clarity: I’m aware sequoia “has” apple intelligence but in a borderline featureless state, so it’s as good (or as bad) as not having anything.

Some of these are for insurance, government organisations… They are naturally dry but we can’t get away from them.

Some others that I described like internal changelogs, I agree won’t ever get read. Then if that’s the case I don’t care (much) about the quality - just about doing it as quickly as possible.

There are tons more applications in the workplace. For example, one of the people in my team is dyslexic and sometimes needs to write reports that are a few pages long. For him, having the super-autocorrect tidy up his grammar makes a big difference.

Sometimes I have a list of say 200 software changes that would be a pain to summarise, but where it’s intuitively easy for me to know if a summary is right. For something like a changelog I can roll the dice with the hallucination machine until I get a correct summary, then tidy it up. That takes less than a tenth of the time than writing it myself.

Sometimes writing is necessary and there’s no way to cut down the drivel unfortunately. Talking about professional settings of course - having the Large Autocorrect writing a blog post or a poem for you is a total misuse of the tool in my opinion.

After the 6th of Jan, I can’t be convinced that the USA takes treason seriously.