The main difference between arm Linux and arm android is how applications are packaged, (and android really wants you to build Java interfaces) partly because under the hood, android is Linux. It takes some development, but doesn’t need to be a “new codebase”. The harder problems are making the ux work with different from factors.

Actually, Linux is a good example of how this works, since you can build Linux for dozens of different CPU architectures (x86, x86_64, arm, risc-v, powerpc, and the list goes on)

There are places in the code where there are bespoke instructions to optimize for a given architecture, but overall, it’s still one massive “codebase”

It’s either extremely successful ragebait, or op thinks “desc” means “sort as a string”

To the extent they exist

It’s the main reason I use findroid

Remember: before killing yourself, it’s your responsibility to kill your children.

lol. lmao, even

Could also be a decision to limit how much the service scales as more people use it. It’s not like they are incentivised to throw a bunch of hardware at the problem when the problem in question is “people are unable to leave the platform”

If you wanted to train on Lemmy data, just pretend to be an instance and have all the public instances push their data to you. No scraping required, and you get all the metadata and context you could possibly want

Oh… It’s because I stopped at the first ad thinking that was it. So the answer to my question is yes, my reading comprehension is in fact that bad

Is my reading comprehension just that bad? I cannot understand how the title and article are related

Damnit valve, stop changing my games

The multi user experience is really bad if you share any games

It looks like the biggest issue here will be fixed in the next update: https://steamcommunity.com/app/1675200/discussions/1/4038102936190852716/

There is no ethical consumption under capitalism

Where can I find one of these “handle held” PC’s?

Here I thought it was going to be about telnet or something

?

Reproducibility of what we call LLM 's as opposed to what we call other forms of machine learning?

Or are you responding to my assertion that these are different enough to warrant different language with a counterexample of one way in which they are similar?

I skimmed the paper, and it seems pretty cool. I’m not sure I quite follow the “diffusion model-based architecture” it mentioned, but it sounds interesting

I’m not talking about the specifics of the architecture.

To the layman, AI refers to a range of general purpose language models that are trained on “public” data and possibly enriched with domain-specific datasets.

There’s a significant material difference between using that kind of probabilistic language completion and a model that directly predicts the results of complex processes (like what’s likely being discussed in the article).

It’s not specific to the article in question, but it is really important for people to not conflate these approaches.

There really needs to be a rhetorical distinction between regular machine learning and something like an llm.

I think people read this (or just the headline) and assume this is just asking grok “what interactions will my new drug flavocane have?” Where these are likely large models built on the mountains of data we have from existing drug trials

That’s true, but all of their problem with docker are that it’s Linux