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Issue 23 of Works in Progress should arrive with subscribers later this week (or early next). In it, we tackle the big questions: - How does a woman's fertility really decline (and why are we so wrong about it)? - How did Australia actually stop the boats? - How...

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Ben Southwood

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30,541 Aufrufe • vor 3 Monaten •via X (Twitter)

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Works in Progress Issue 24 is arriving with our subscribers now. In it, you can read about: - What ultra-Orthodox Jews can teach us about boosting fertility. - How we can start claiming land from the sea again. - Why the Glorious Revolution shows us how to abolish today's "Stakeholder State". - How Alberta became the only place in the world without rats. - Why and how we can vaccinate the world's wild animals against disease. - How Vancouver's Squamish people might solve the city's housing crisis. Pieter Garicano, Aria Schrecker and I sat down to discuss all this and MORE from the new issue. Listen now. Spotify: Apple: YouTube:
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Works in Progress Issue 24 is arriving with our subscribers now. In it, you can read about: - What ultra-Orthodox Jews can teach us about boosting fertility. - How we can start claiming land from the sea again. - Why the Glorious Revolution shows us how to abolish today's "Stakeholder State". - How Alberta became the only place in the world without rats. - Why and how we can vaccinate the world's wild animals against disease. - How Vancouver's Squamish people might solve the city's housing crisis. Pieter Garicano, Aria Schrecker and I sat down to discuss all this and MORE from the new issue. Listen now. Spotify: Apple: YouTube:

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Chamath: Two terms you need to pay attention to in AI are Prefill and Decode “There's two terms that I think you're going to hear a ton about over these next few years.” “The first term is prefill, and the next is decode.” “What prefill and decode are, are two very distinct ways of how models think, and how a model goes through the process of answering a question that you ask it.” “And so when you send a prompt to AI, what happens is that the model processes it. This is called the reading phase or prefill.” “It reads your entire prompt all at once. And then it does a bunch of math, calculates all these relationships between all the words, and it stores them in temporary memory.” “The problem is that this is really compute bound. So it requires massive brute force. And Nvidia GPUs crush here.” “And their architecture is designed for massive parallel processing, which makes them really amazing at digesting these long prompts.” “So the problem just gets bigger and bigger, Nvidia just completely dominates.” “But the next phase though, this critical phase, the decode phase, is the writing phase, right?” “So the model starts to generate a response, you ask it a question and its response, one token at a time.” “And then to pick the next token to pick the next word, it has to look back at everything it has said already so that it doesn't hallucinate.” “The problem is that this is incredibly memory bandwidth constrained.” “And in our architecture, a long time ago, we made these design decisions from day one.” “And so what we did was we took a very different architectural approach, we took a very conservative process technology. We weren't pushing the boundaries of physics.” “And we used a lot of what's called SRAM. So memory on the chip so that we could do this decode thing as well or better than everybody else.” “And so now when you put these two things together, I just think it's going to create a huge acceleration in the ability for this entire infrastructure layer to get much cheaper and much more valuable, which I suspect then it'll have a lot more developer pull, you'll get a lot more applications being built, billions and billions of more people using it.”
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Chamath: Two terms you need to pay attention to in AI are Prefill and Decode “There's two terms that I think you're going to hear a ton about over these next few years.” “The first term is prefill, and the next is decode.” “What prefill and decode are, are two very distinct ways of how models think, and how a model goes through the process of answering a question that you ask it.” “And so when you send a prompt to AI, what happens is that the model processes it. This is called the reading phase or prefill.” “It reads your entire prompt all at once. And then it does a bunch of math, calculates all these relationships between all the words, and it stores them in temporary memory.” “The problem is that this is really compute bound. So it requires massive brute force. And Nvidia GPUs crush here.” “And their architecture is designed for massive parallel processing, which makes them really amazing at digesting these long prompts.” “So the problem just gets bigger and bigger, Nvidia just completely dominates.” “But the next phase though, this critical phase, the decode phase, is the writing phase, right?” “So the model starts to generate a response, you ask it a question and its response, one token at a time.” “And then to pick the next token to pick the next word, it has to look back at everything it has said already so that it doesn't hallucinate.” “The problem is that this is incredibly memory bandwidth constrained.” “And in our architecture, a long time ago, we made these design decisions from day one.” “And so what we did was we took a very different architectural approach, we took a very conservative process technology. We weren't pushing the boundaries of physics.” “And we used a lot of what's called SRAM. So memory on the chip so that we could do this decode thing as well or better than everybody else.” “And so now when you put these two things together, I just think it's going to create a huge acceleration in the ability for this entire infrastructure layer to get much cheaper and much more valuable, which I suspect then it'll have a lot more developer pull, you'll get a lot more applications being built, billions and billions of more people using it.”

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Here's part of a lecture I did in London this summer going over this exact Milton Friedman Pencil clip Elon just posted as a lens for understanding how the Blob works, why we have it, and what it did to build the censorship industry in Brazil.

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“Failure is so much more interesting than success. And it always saddens me that school doesn't teach that. At school the thing is to be brilliant and to get the answer right first time. And there are brilliant people who could do that, but for the rest of us who are not brilliant, we have to strive, and we have to go through failure. And we realize that you don't get it right the first time or the second time. In my case and I counted it. It took 5,127 times. With failure you question it “Well why did it go wrong?” And actually the reason it goes wrong is often very, very interesting. Where something works you say “Great that worked.” You don't even stop to wonder why it works. So if you've got to enjoy failure.” —James Dyson

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Justin Thomas was asked about his group getting put on the clock: "We just didn't really agree with it. ... The hard part to me with the whole pace of play thing is that you, there's so much that goes into golf and there's so much that goes into hole to hole in terms of, are you hitting it close, are you able to tap it in, or you have to mark it, stuff like that, to where, are you holding the group up or are you not, to where it's very hard to make that call. And we just didn't agree with it, to be honest. "But we got taken off, and a hole later we were caught up. So it kind of goes to our point of why we didn't think we should of, but it is what it is. It's a part of it."
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Justin Thomas was asked about his group getting put on the clock: "We just didn't really agree with it. ... The hard part to me with the whole pace of play thing is that you, there's so much that goes into golf and there's so much that goes into hole to hole in terms of, are you hitting it close, are you able to tap it in, or you have to mark it, stuff like that, to where, are you holding the group up or are you not, to where it's very hard to make that call. And we just didn't agree with it, to be honest. "But we got taken off, and a hole later we were caught up. So it kind of goes to our point of why we didn't think we should of, but it is what it is. It's a part of it."

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#WATCH | Delhi: Lok Sabha LoP and Congress MP Rahul Gandhi says, "It's important that the government develops a plan for how to get rid of air pollution in our cities. We are more than happy to cooperate with the government on developing such a plan. There are not many issues these days that the government and the entire opposition can agree on. I think the government should have a discussion in parliament. We should try not to make it a discussion where we are abusing you, and you are abusing us. I think we should make it a discussion where we are participating, we are showing the country that on this fundamental issue, there is agreement, and the best minds are going to be put into place to solve this issue. I think it would be good if we have a detailed discussion and then the Prime Minister puts in place a plan for each city methodical systematic plan on how, within the next five or ten years, maybe we cannot resolve the problem, but how we are going to address the problem and make life for our people easier." (Source: Sansad TV)

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Dana White says he got all the $7.7B from the UFC and Paramount deal this year "are you excited about the $7.7b deal with UFC and Paramount ? that's a lot of money...it's gotta be cool building this company from what it was when it first started to making a deal like that" "so wait do you get all that money? the $7.7 billion? yeah me ? I get all of it...if you look at what we're doing right now so next year with Paramount we going to do 44 events" "early on we paid to get on the Spike TV and basically the narrative was you pay to get on TV and it changed right now"
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Dana White says he got all the $7.7B from the UFC and Paramount deal this year "are you excited about the $7.7b deal with UFC and Paramount ? that's a lot of money...it's gotta be cool building this company from what it was when it first started to making a deal like that" "so wait do you get all that money? the $7.7 billion? yeah me ? I get all of it...if you look at what we're doing right now so next year with Paramount we going to do 44 events" "early on we paid to get on the Spike TV and basically the narrative was you pay to get on TV and it changed right now"

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Gov. Spanberger: "In his farewell address, George Washington warned us about the possibility of 'cunning, ambitious, and unprincipled men' rising to power. But he also encouraged us, all Americans, to unite in a common cause to move this nation forward. That is our charge once more, and that is what we are seeing across the country. It is deeply American and patriotic to do so, and it is how we ensure that the state of our union remains strong, not just this year, but for the next 250 years as well. Because we, the people, have the power to make change, the power to stand up for what is right, the power to demand more of our nation."

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