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whyever

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whyever
·2个月前·讨论
There was Quelle, Europe's largest mail-order and retail company. They were excited about mailing their catalogue on CD-ROM, but slept on the Internet. In 2009, they went bankrupt.
whyever
·3个月前·讨论
LLMs are vulnerable to prompt injection attacks, so I'm not sure they are in advantage.
whyever
·8个月前·讨论
Note that N=1 for the memory safety vulnerabilities they had with Rust, so the error of the estimated average number of vulnerabilities per LOC is quite large.
whyever
·8个月前·讨论
It's missing which point?
whyever
·9个月前·讨论
I agree, but https://www.pcg-random.org/ still advertizes PCG as "challenging" to predict, and critizises other RNGs as predictable and insecure.
whyever
·10个月前·讨论
Yes, but this relation does but apply to statistical mechanics and statistical physics, they mean the same: https://en.wikipedia.org/wiki/Statistical_mechanics

What is included in "statistical physics" that is not included in "statistical mechanics"?
whyever
·10个月前·讨论
They are synonyms.
whyever
·10个月前·讨论
Signal asks you to repeat the key immediately before even enabling backups. It cannot fail much later unless you modify the digit after the check.
whyever
·10个月前·讨论
That's a good question! Especially after Frank McSherry's COST paper [1], it's hard to imagine where the sweet spot for Spark is. I guess for Databricks it makes sense to push Spark, since they are the ones who created it. In a way, it's their competitive advantage.

[1]: https://www.usenix.org/system/files/conference/hotos15/hotos...
whyever
·11个月前·讨论
> With that access you can also "do" things, like sending messages or delete stuff.

If you break E2E encryption, you can likely also impersonate and "do" things.
whyever
·11年前·讨论
In Python you basically get undefined behavior when encountering NaNs while sorting, Rust let's you choose. This seems much more reasonable to me.
whyever
·11年前·讨论
Rust's way is more flexible though: You can choose how to treat NaNs, in Ruby you have to fail.