

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 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
Because someone keeps taking my blood to fill these jars!
You know, you might just be right…
And would have been infinitely funnier
I find it hard to believe that the America party has any chance of pulling more votes from Democrats than Republicans in any potential or hypothetical race.
Even if they platformed an actual socialist somewhere, typical Dem voters would either be strongly turned off by any musk association, or see America party and say “that’s not a D” and vote for a Democrat.
Needs a single potted plant to signal that someone with their shit together lives there.
This is a very dishonest headline. Sex trafficking and racketeering charges didn’t stick, and it was “just” prostitution charges. He’ll see jail time, but it’s a relative slap on the wrist
No, it makes you a pigeon carrier, though I understand the confusion
That’s true, but all of their problem with docker are that it’s Linux
docker is a layer to run on top of Linux’s KVM
My understanding is that this is only true for docker desktop, which there’s not really any reason to use on a server.
Sure, since containers use the host’s kernel, any Linux containers do need to either have Linux as the host or run a VM (as docker desktop does by default), but that’s not particularly unique to docker
Is it really vendor lock-in if you can fork it at your whim?
Now I want to wash I’m balls in the Baja blast
I agree. I want to see AOC have long-term influence over the Democratic party. We’re going to need significant reconstruction over the next 4-8 years, and I personally think she would be a bit wasted in that role.
That said, we don’t really have an alternative well positioned to run in '28 except Bernie, and I wouldn’t blame him for not running (or people being upset about another 80+ year old president).
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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?