I thought the obvious reason was storage.
I thought the obvious reason was storage. I don't see it mentioned here, but storage is a huge pain point. How do you store your critical data "with Docker" is a labyrinthine set of steps. Docker's answer to storage so far has been "don't use Docker". That's their answer. Use volumes to map some other storage, but then you have to have some way of mapping storage to containers outside of Docker. Now you're really stuck. Containers are awesome, but unless your product doesn't do work, you'll need to store data at some point. And that's when the magic stops.
Posted by AaronFriel on Jul 29, 2015, 1:06 AM
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The biggest problem with having an LLM do this, from what I've observed of at least frontier models, is that the way they are trained...
NewThe biggest problem with MOND is that it was hand-crafted with additional parameters simply to fit the data.
(My comment is about detached houses).
The biggest problem with this is that I can't run my company's own internal benchmarks against this API, because they will be trained int...
> steer Claude away from over-engineering parts of the system in response to hypothetical concerns.
Why is there no comparison with FLUX 3 Image?
> our Git monorepo was developing an annoying problem Sentences like this are so common from people using monorepos that I am convinced ...
Why is there no contact form?
I thought the obvious reason was storage.
I thought the obvious reason was storage. I don't see it mentioned here, but storage is a huge pain point. How do you store your critical data "with Docker" is a labyrinthine set of steps. Docker's answer to storage so far has been "don't use Docker". That's their answer. Use volumes to map some other storage, but then you have to have some way of mapping storage to containers outside of Docker. Now you're really stuck. Containers are awesome, but unless your product doesn't do work, you'll need to store data at some point. And that's when the magic stops.
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