Algorithm

“The other, this is my favorite, like, I honestly think all feeds should just be reverse chronological order. No algorithm.”

“Whoever controls the algorithm controls, you know, the election in many cases.”

“The algorithms right now are prioritizing yapping. Why are they prioritizing yapping? They are prioritizing it because they are seeing AI slot move into the timeline and people are getting tired of that. People don't want that, right?”

“Good news travels fast, bad news travels faster, and the haters actually will talk about you more and say bad things. But at the end of the day, people don't really remember what was said. They just remember your name and your face. And so you could do with th…”

“What we are doing is we are tracking fire and it could be anywhere up to a hundred miles outside of your home. Right. And we will look at the location that fire relative to the location of your home. We run it through algorithms and you could activate your sys…”

“And often I find that this is kind of boring, but like a lot of the improvements does not come from new algorithms. It comes from finding small bugs here and there in the data pipeline, in the model training pipeline. Those gave the biggest boost to the model …”

“So if we had had algorithms back then selecting what people want to watch, Seinfeld would have not been one of those cases.”

“I think there's going to be a curated experience with a premium of provenance, you know, that, you know, it's human created. And then there's just going to be a sort of a rank filtering of what's the best content and whether it's AI generated or not, it's a li…”

“I do think this is why a lot of fundamentally based value strategies have struggled for a long time, because the alpha in those strategies Was being willing to own these stocks that other people were embarrassed to own because they were so out of favor. And yo…”

“And what is happening now in AI that if for the previous decade we saw this competition for human attention, That the algorithms are competing to grab our attention. Now the front is shifting from attention to intimacy. AIs are learning how to create intimacy …”

“Our biggest mistake is that over the last 10 years, we gave one of the most important jobs in the world to algorithms, and they did a terrible, terrible job.”

“Like you had these models from Taiwan, that they actually built it and it worked well, that you can take the same basic premises of social media and reverse them. You can have the algorithm rewarding content, like the algorithm, first of all, in this Taiwan sy…”

“So, in that sense, I think it's the most interesting one, it's the most frustrating one, and it's the most difficult one, certainly from investors' point of view, to know where to put your chips.”

“Well, I don't think algorithms can help here. None of us know what's going to happen with the dread and wonderful word AI, but I don't think that, that predictive research Is certainly in the arena of content, worthless. It cannot tell you anything of real val…”

“In the future, and this may sound very dystopian, but he who controls the algorithm will control what people think.”

“But the algorithms I think are not the bottleneck in terms of making those models more useful. I do think a lot of it is still getting good quality data and then making good quality synthetic data From your good quality real data.”

“Truth is social is dead today, right? There are no more social networks that anyone uses because everything, you know, followers don't matter. Your friendships don't matter. There's no actual functional social relationships inside of any of these systems today…”

“There's more than enough data at the individual level to run these very, very powerful algorithms. I don't need to commingle my data with yours just so I can run those algorithms.”

“I definitely don't think the algorithm tends to be the most important thing.”

“If you really want to improve the quality of decision making, use algorithms. I mean, whenever, wherever you can if you can replace judgments by rules and algorithms, they'll do better.”

“The real gains, the real differentiation now is coming from creative, right? A lot of people could like these algorithms are reaching efficiency frontiers. So like, that's really how you differentiate.”

“So you multiply those things together. The algorithms, the chips, and then the raw compute that's available. You're talking about a million X increase, some of which will be captured in price reductions. Some of it will be in the performance ceiling, and then …”

“China has very strong expert controls. Like the reason TikTok can't sell is because algorithms in general are expert controlled. And so they would be able to buy the brand name and like the offices, but they'd have to completely re revamp the algorithm, which …”

“If you look at those high cost claimants, and you look at the algorithms that are used to identify them, there's a couple of very common ones, By the time they identify a patient, that patient's cost, and this is according to the National Medicaid Database, wh…”

“Our algorithm is, is trained not on cost or prior utilization, but on condition and social risk factors, and the various other data feeds that tell us about behavior, the kind of admission discharge transfer feeds, we can see whether they're picking up their m…”

“Just because you have these sort of algorithmically optimized versions of our attention on one, in one channel, doesn't mean that all the other appetites go away.”

“I think people are going to start to turn off from the algorithms, from TikTok. Like, we're leading towards a moment of rejection where people are going to want something different.”

“The algorithm. So like if the objective is don't die, Then it's just a systematic process of what inflicts damage upon the body. And then how do you mitigate that damage? Like how do you block it or, you know, how do you mitigate it? And so in that regard, it,…”

“I actually, I don't believe that technology can be proprietary. It's the whole, it's too easy to copy and too easy to steal. So if anything, I would actually argue that a lot of these, the idea that like you're going to get proprietary software that, or algori…”

“And it's easier than ever, given the new X algorithm, because it, everything is getting more pushed out to the edges of the curve, essentially. Like, you will have a post that goes mega viral, and then the next one will get 26 likes.”

“And TikTok, the most recent one I think just skipped straight to the end game. Which is like, let's just show all the possible content in the world and let the algorithms figure out what the human brain wants to see.”

“There's this question of like freedom of speech and X that's censored versus not censored and whatever. There's a question of the algorithms, right? Which I think is a meta question. Sir, you can post anything, but will the algorithm select you such that you'r…”

“So it really does prime the algorithm and your next tweet after a really high engagement tweet will get a lot of engagement. So you can use that to your advantage.”

“I will also say like the quote retweet, this is like a, it does work a lot in the algorithm these days. You find something and then you can just, you know, add your POV on top of it, and a lot of times it goes viral.”

“Anytime you blame, you say the word algorithm, just switch it with the word people, because you're blaming the algorithm. The algorithm didn't like my video. No, no, no. People didn't like your video. The algorithm is just simply giving people videos they like…”

“The first is the algorithms in the middle of all of this chaos sold about forty one billion dollars of global equities.”

“Right now, if there's relatively minimal volatility and not much changes, the algorithms will have to sell another 160 odd billion dollars of equity.”

“I think the more we learn, the more we develop, I think at a certain time, My job will be replaced by an algorithm.”

“And especially as the algorithms are becoming more for you page versus, you know, follower base where followers are becoming less and less valuable and the type of stuff that's getting seen on, on people's feeds has to be, it's similar to like how TikTok works…”

“Now, fast forward a decade, and the algorithm is very heavy. There is millions of lines of code. They write so many lines of code into that thing every day. And now it is extremely sensitive. It has certain metrics that you have to hit, or it won't show your o…”

“My biggest advice for anybody going into business is to, as soon as you have some success, start diversifying your finances. That's what I did. And why it matters so much and why it's so much a wonderful thing is because then, you know, whatever the algorithm'…”

“You know, other countries, however, tweak their algorithms to make sure that STEM is, you know at the top of people's minds, but not for us, unfortunately.”

“I made an algorithm that takes better care of me than I can myself.”

“We've never had algorithms That improving capabilities with scale out. It's a, this is almost, ah, You know, new era of computing.”

“The algorithms have been proven. I've seen many YouTube videos and I've experienced myself. The algorithm has been proven to kind of force men to pay in order to feel like you're going to get any sort of attention.”

“There's no such thing as cancel. You cannot be canceled on the internet. It isn't, the algorithm has no emotions. You think the algorithm is like right wing or left wing? It doesn't care. You create content, it's interesting enough, it shows it to people. So y…”

“If you really want to improve the quality of decision making, use algorithms. I mean, whenever, wherever you can if you can replace judgments by rules and algorithms, they'll do better. Now, there's big social costs to trusting, allowing algorithms to make dec…”

“A large part of it is just algorithms.”

“I always thought that it was pretty cool that everybody gets to kind of look at the outputs of their algorithms and see what they're doing, whereas if it's kind of non-visual, then yeah, you see these metrics, but you don't really have a sense for what's, what…”

“What happened in the past five years was in some sense a perfect storm where compute power has grown dramatically. We have seen more and more, and we keep seeing more and more technologies in biology and chemistry that allow us to measure things in, you know, …”

“We're training algorithms on specific data sets like editorial importance scores that actually come from our journalists. And what that allows us to do is actually scale editorial judgment to a large group of readers. And those algorithms, what I think is just…”

“We're almost no longer designing ourselves for like human taste, but we're designing ourselves for like the algorithm.”

“I think it's funny because it's not like the Like, pressure to make new stuff comes from, like, the algorithm or some, like, hamster wheel where everything will die if we don't make another episode. Yeah. It kind of comes internally from ourselves.”

“When you are working on algorithmic heavy products, your job is figuring out what the algorithm should be responsible for, what people are responsible for, and the framework for making decisions.”

“The reason that falls down is the algorithms don't understand long-term effects often. Nor do they understand how people might respond to it, nor do they understand your intent for the product.”

“There is an algorithm that is doing that. It's making an editorial decision around what the right answer is. They have deemed it to be right. And that is just true.”

“TikTok is a very manipulative experience algorithmically, right? They bias towards happiness. They bias towards humor. Like, they don't want you talking about sad topics because political topics often are sad topics, right?”

“In a world of audience and in a world of these algorithms, we are progressively falling victim to what our audience wants. And effectively we are slaves of our audiences or of these algorithms, if that's what you believe in.”

“The truth is, nobody knows what the algorithm is, you just have to keep evolving so that you stay relevant”

“I do have a concern though, particularly with minors and that's where maybe we would agree where you have teenagers, where, Basically, it's like your worst experience in junior high magnified, and now with algorithms, and there should be regulation there, and …”