eldavojohn
"A Novel Bridge from Randomness in Stochastic Data to, Like, OMG I'm SO Randomness in Valley Girl Entropy"
We will pay dearly for overloading that word. Good AGI will be capable of saying the most random things! Not, really, no. I mean, they'll still be pronounceable, I'm guessing?
He is postulating that the way we deal with physical memory (an example of L2 and L3 caches is provided) demonstrates that, as we proceed with trying to form AGI out of our classical computer architectures, there are some fundamental problems for example larger caches are slower. With human intelligence, this doesn't always seem to be a problem for some humans. If you understand the "attention" part of recent developments in this field, he's saying that transformers are the most efficient way we got to achieve that and it's starting to look like a problem from a "physicality" standpoint as the author puts it.
The "physically" here is that larger caches are not just computationally larger banks of data but are actually physically larger and, by Euclidean distance, further away. Yet paradoxically the elephant nor blue whale is not the smartest brain on the planet, the distance from the center of my head to broca's region seems to have no effect on my elocution. Etc. Studying Einstein's brain doesn't do much (I guess the insulators are somewhat important?) for understanding Einstein's intelligence ... but that is 100% critical when understanding L2 and L3 caches on a die.
> Who is to say biological computers won't be built?
No one is saying that. We're just pretty sure it's not happening in our lifetimes.
I think you misunderstand the author's intent. He's not saying "The things I can't imagine are not going to happen". He's trying to argue that, "Look, the way things are going, the diminishing returns we are already seeing, the way our hardware works, this isn't going to get us to AGI." Of course, if you had some new architecture or weird "wetware" that somehow solved these problems I'm sure this article would concede that that's not the point.
I asked if you tried it, it sounds like you have I guess. I'm sorry you did not find another tool for your toolbox. I did.
Sometimes when I have time to play around I just ask models what stinks in my code or how it could be better with respect to X. It's not always right or productive but it is fun, you should try it!
Doesn't that seem ... stupid? To put the onus on the people who have no access to any communications or details about what looks like corruption? It's my opinion that without forcing them to do everything in the open and prove to us that there is no quid pro quo, you're going to end up with Soviet USSR style government real fast.
I'm sure this is "business as usual" but ... maybe it shouldn't be?
Use race as a dimension for something and that ends up as a value in a vector that packs a human into a discreet set of pigeonholes. Then take many of those and stack them and you've got a matrix ready for things like principal component analysis or CNN training.
You might say "oh come on, that hasn't been done since WWII by IBM" and you'd be wrong. It still happens today with things like calculating insurance premiums and approving bank loans. And your response might be "no way, nobody records someone's race" and while that might be technically correct, we frequently harvest things like income and interest in products that are highly correlated with spacefic races (some innocuous others much less innocuous). This can be harvested through cookies in websites like facebook or they can be self reported income on credit card applications.
You can disagree that it's the same as saying "matrix multiplication is racist" but that is just a boiled down way of saying "we are very good at hiding racism in our algorithms and then acting super surprised when someone points them out and our defense is that we just did some math."
> Why don't you quote his article and then the wikipedia "interpretation" that is "very biased"? Let's take concrete examples.
That's a request for concrete examples. Regardless, why don't you provide concrete examples of the liberal bias in those articles to back up your claims?
When did HN become worse than reddit?
> The rest of the article—which, I confess, I did not read entirely, as it is very long
He cares so much about the bias that he can't be bothered to find it. The only thing I saw (and I mentioned in my original post) is that he took issue with the description of statue removal phrasing. So he skips through three long articles, doesn't read them all but finds what he's looking for. This is largely how people operate today, they start with what they want to believe then they go looking for it.
> A neutral treatment would, of course, give broad factual coverage of such things as where the rioting took place, how many people were arrested, and numbers of injuries and deaths attributable to the rioting. The main Wikipedia article actually seems to do a good job there, as far as I can tell.
Sorry he said "good job" and I said "great job". I suppose there is a difference there and I apologize for that.
What next? Are you going to complain that 98% of college professors are liberal? Okay, go change it. Enjoy trying to get people who enjoy liberal endeavors to promote conservative views. Am I shocked that the people who want to freely edit and debate articles on a website for no profit happen to slant liberal? Not really.
> (I don't think this is possible, therefore I think you are wrong)
What part exactly was I wrong about? I suggested you look at articles from 30-50 years ago and point out the liberal slant. Instead you invented a claim that I did not make so that I would be incorrect. Strawman.
If we cared enough about this, we'd all be reading conservapedia.com.
Reading this article is kind of like I'm watching Jerry Springer except it's not as entertaining. As things stabilize the articles get better and as time stretches to infinity so too does the editing work eliminate bias on Wikipedia. Is it the greatest thing ever that you should unquestioningly read? Not even close. The author thinks it should be impossibly neutral. Nirvana fallacy.
Trash article from someone trying to stay relevant.
Today I learned do not talk about money when it comes to healthcare initiatives on ycombinator.
"Though most experts have little doubt that the vaccine prevents HPV infections anywhere in the body and therefore the resulting cancers, technically, this has not been proven."
Was featured on HN earlier: https://news.ycombinator.com/item?id=19492091
Lot of context there.
Still a crazy neat tool but targeting edges as paths instead of polygons would save quite a few bites when hosting this stuff.
I'm an avid environmentalist. Elon Musk has lied so many times that I'm not rooting against him, I'm just afraid that his house of cards is going to come tumbling down and he will be another Solyndra where a good concept is ruined by a conman who has said that within a year you can make $30k/yr letting your tesla be a robotaxi and that in a year and three months there will be a million robotaxis on the road[0].
When criticism is valid, it's okay. We've seen Elon Musk lie about production time and time again. It's okay to distrust him. That's not "rooting against the environment."
[0] https://www.usatoday.com/story/tech/2019/04/23/elon-musk-say...
I both kickstarted and reviewed this book on Slashdot back when it came out. https://books.slashdot.org/story/13/01/09/160246/book-review...
The author is an awesome guy and accepts all errata with nothing but positive gratitude!
https://play.google.com/store/apps/details?id=com.q42.ohhi&h...
A: Yes, I do think that I just take a sentence and tell you that that sentence is used in my virtual reality, in my virtual reality.