Mr. Costantino said the design was not at fault and that the towering mast, which stood 237 feet tall, had not created “any kind of problem.”
“The ship was an unsinkable ship,” he said. “I say it, I repeat it.”
- Designer of sunken ship
For some reason the previous week’s thread doesn’t show up on the feed for me (and didn’t all week)… nvm, i somehow managed to block froztbyte by accident, no idea how
I don’t think it’s very surprising. The various CS departments are extremely happy to ride the wave of easy funding and spend a lot of time boosting AI, just like how a few years ago all the cryptographers were getting into blockchains. For instance they added an entire new “AI” major, while eliminating the electrical engineering major on the grounds that “computation” is more important than electrical engineering.
No, but the moon does.
I don’t want to come and help “balance out” someone who thinks that using they/them pronouns is worse than committing genocide.
Does anyone really think this, or are you just using hyperbole?
Not hyperbole. Hanania, Manifest promoted speaker, wrote “Why Do I Hate Pronouns More Than Genocide?” in May 2022.
I just can’t, it’s like that one scene from Austin Powers.
Simply asking questions would be SAQing off, which is totally different.
The article is very poorly written, but here’s an explanation of what they’re saying. An “inductive Turing machine” is a Turing machine which is allowed to run forever, but for each cell of the output tape there eventually comes a time after which it never modifies that cell again. We consider the machine’s output to be the sequence of eventual limiting values of the cells. Such a machine is strictly more powerful than Turing machines in that it can compute more functions than just recursive ones. In fact it’s an easy exercise to show that a function is computable by such a machine iff it is “limit computable”, meaning it is the pointwise limit of a sequence of recursive functions. Limit computable functions have been well studied in mainstream computer science, whereas “inductive Turing machines” seem to mostly be used by people who want to have weird pointless arguments about the Church-Turing thesis.
I read one of the papers. About the specific question you have: given a string of bits s, they’re making the choice to associate the empirical distribution to s, as if s was generated by an iid Bernoulli process. So if s has 10 zero bits and 30 one bits, its associated empirical distribution is Ber(3/4). This is the distribution which they’re calculating the entropy of. I have no idea on what basis they are making this choice.
The rest of the paper didn’t make sense to me - they are somehow assigning a number N of “information states” which can change over time as the memory cells fail. I honestly have no idea what it’s supposed to mean and kinda suspect the whole thing is rubbish.
Edit: after reading the author’s quotes from the associated hype article I’m 100% sure it’s rubbish. It’s also really funny that they didn’t manage to catch the COVID-19 research hype train so they’ve pivoted to the simulation hypothesis.