HN user
Does anyone truly understand these models? I don't think we have any proofs about the upper limits of what LLMs are capable of. How can you be so confident?
To be clear, I am not saying there are no limits to what LLMs can do, I just don't get how people can be so sure one way or the other. Especially when you consider that this technology is evolving at such an unpredictable pace.
I think you can't really win here with camelCase. Both look bad to me.
Would allowing spaces in identifiers even introduce any ambiguity in most languages? I think the only languages I've seen where it would matter are functional languages. e.g. I think it'd be possible to write a Python program using spaces instead of underscores, and be able to unambiguously parse it with a slightly modified parser?
Python's facilities for calling subprocesses are pretty inconvenient compared to bash IMO. It defaults to binary output instead of UTF-8 so I almost always have to set an option for that. I wind up having to define threads in order to run programs in the background and do anything with their output in real time, which has an awkward syntax. The APIs for checking the exit code vs raising an error are pretty non-obvious and I have to look them up every time. And I always wind up having to write some boilerplate code to strip whitespace from the end of each line and filter out empty lines, like p.stdout.rstrip().split('\n') which can be subtly incorrect depending on what program I'm invoking.
If America doesn't create it, China will.
Is it really faster? I thought firecracker boot times were something like 100ms. LightVM claims 2.3ms?
I wouldn't consider the original 100K to be part of the expected value since that's money they already have, not money they're winning...
Is their approach different from this one from 5 years ago? https://youtu.be/cO6-SL3bMZg?si=_pVdOLNdej2pjDnT