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Extropic founder Beff (e/acc) predicts 1000X more efficient AI inference could have a multi-trillion-dollar impact on the economy: "It shows it's possible to create arbitrarily scalable models on a new hardware substrate. We released our first results about a year ago, and it was MNIST, which is the very... early days. It's the '80s of machine learning." "Today we have models that are GPT-2 level that can run on our hardware. Algorithmic progress is blazing fast." "If we can get to 1000x greater energy efficiency for inference sooner rather than later, that changes the whole world. That has a multi-trillion dollar impact on the economy." "Even if you're new to machine learning, you can vibe code this. You can use auto research. This is a whole new territory that's barely explored. It's just been a couple of our scientists." Extropicshow more

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14 Kommentare

Profilbild von Danny Nemer

Danny Nemervor 2 Monaten

@beffjezos He looks nothing like his profile photo.

Profilbild von Ilyas

Ilyasvor 2 Monaten

@beffjezos u going from mnist to gpt2 is not algorithmic progress, the algorithms were already developed 😂 you took all that time to implement them, so why are you comparing to the time it took to develop them ?

Profilbild von Dave Try

Dave Tryvor 2 Monaten

@beffjezos ahem

Profilbild von Silk b

Silk bvor 2 Monaten

@beffjezos this guy looks like family guy––uncanny.

Profilbild von Alps

Alpsvor 2 Monaten

@beffjezos goat

Profilbild von science.minister.0

science.minister.0vor 2 Monaten

@beffjezos LOL, somebody ate the extropic's runway.

Profilbild von Trying to finally complete suicide

Trying to finally complete suicidevor 2 Monaten

@beffjezos * "You can vibe code thermodynamic computing research, too -- there's space to stretch out." * Is a Waterloo-trained PhD @beffjezos

Profilbild von Jael {e/acc}

Jael {e/acc}vor 2 Monaten

@beffjezos yesssssssssssssssssssssssssssss

Profilbild von z3ratul

z3ratulvor 2 Monaten

@beffjezos sublime grifting

Profilbild von Neha Singh

Neha Singhvor 2 Monaten

@beffjezos 1000x inference efficiency is the only AI claim that changes unit economics instead of the demo. Everything else is still “smarter answers, same power bill.”

Profilbild von Ray Velez

Ray Velezvor 2 Monaten

@beffjezos yung obi wan

Profilbild von TheDigitalRetailHivemindNetwork💹🧲

TheDigitalRetailHivemindNetwork💹🧲vor 2 Monaten

@beffjezos The man is literally a legend

Profilbild von Riley Paul

Riley Paulvor 1 Monat

@beffjezos A critical discussion of data science should include both technological opportunities and systemic risks under resource constraints.

Profilbild von 安叫兽|Bird🕊️ 🔶 BNB

安叫兽|Bird🕊️ 🔶 BNBvor 2 Monaten

@beffjezos 从 MNIST 到 GPT-2，这个跨度也太夸张了

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$Extropic founder Beff (e/acc) on why running probabilistic AI on deterministic hardware is quietly the biggest local optimum in computing "You have Landauer's principle. Essentially you have a minimum cost of erasing a bit." "Every time you reset a bit in a classical computer, your bit is actually random. You don't know what state it is, and then you have to reset it to a deterministic state. So you have a Maxwell's demon for every bit, for every clock cycle. I'm tired of paying the demon tax." "If you go with fractional bits, you don't need to do full bit operations. Running hardware probabilistically is just much more power efficient." "All the algorithms we want to run these days, whether it's PageRank, whether it's recommender systems, whether it's diffusion models, whether it's transformers, they're all probabilistic algorithms." "Why are we paying the Maxwell's demon tax to run probabilistic algorithms on deterministic hardware? It just makes zero sense, and we've just been caught in a local optima." "It takes a true set of autists that are like, screw the whole stack, we're going to start from scratch. This has the bones to eat the world." Extropic$

Extropic founder Beff (e/acc) on why running probabilistic AI on deterministic hardware is quietly the biggest local optimum in computing "You have Landauer's principle. Essentially you have a minimum cost of erasing a bit." "Every time you reset a bit in a classical computer, your bit is actually random. You don't know what state it is, and then you have to reset it to a deterministic state. So you have a Maxwell's demon for every bit, for every clock cycle. I'm tired of paying the demon tax." "If you go with fractional bits, you don't need to do full bit operations. Running hardware probabilistically is just much more power efficient." "All the algorithms we want to run these days, whether it's PageRank, whether it's recommender systems, whether it's diffusion models, whether it's transformers, they're all probabilistic algorithms." "Why are we paying the Maxwell's demon tax to run probabilistic algorithms on deterministic hardware? It just makes zero sense, and we've just been caught in a local optima." "It takes a true set of autists that are like, screw the whole stack, we're going to start from scratch. This has the bones to eat the world." Extropic

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33,856 Aufrufe • vor 3 Monaten

$Extropic founder Beff (e/acc) explains why his new Z1 chip uses 10,000x fewer transistors than a GPU to run the same AI algorithms: "pbits are not traditional bits that are definitely zero, definitely one. They're oscillating between the two. It's like a light switch dimmer. You ever have it flicker when you're at the edge? It's kind of like that." "It's a fractional bit. I could be like, hey, 20% of the time I'm zero, 80% of the time I'm one. That would be a fractional flip." "The most interesting thing is that you can do all sorts of AI algorithms with about 10,000 times less transistors than if you were to do them digitally." "If you go back to the ancestry of neural networks, they came from something called energy-based models from Hinton." "We can do that specifically with Z1. We have literal Boltzmann machines in the hardware. They're very dense, and they use very few transistors, because each transistor is operating in the regime that would be usually considered janky. It's so low power, it's flipping all the time." Extropic$

Extropic founder Beff (e/acc) explains why his new Z1 chip uses 10,000x fewer transistors than a GPU to run the same AI algorithms: "pbits are not traditional bits that are definitely zero, definitely one. They're oscillating between the two. It's like a light switch dimmer. You ever have it flicker when you're at the edge? It's kind of like that." "It's a fractional bit. I could be like, hey, 20% of the time I'm zero, 80% of the time I'm one. That would be a fractional flip." "The most interesting thing is that you can do all sorts of AI algorithms with about 10,000 times less transistors than if you were to do them digitally." "If you go back to the ancestry of neural networks, they came from something called energy-based models from Hinton." "We can do that specifically with Z1. We have literal Boltzmann machines in the hardware. They're very dense, and they use very few transistors, because each transistor is operating in the regime that would be usually considered janky. It's so low power, it's flipping all the time." Extropic

MTS

22,568 Aufrufe • vor 3 Monaten

Why is the Midjourney team uniquely qualified to build medical hardware? Beff (e/acc), founder of Extropic: "David's a trained physicist. He worked at NASA. He was a founder of Leap Motion, which is completely slept on as one of the first major projects he worked on." "What I really like about that team is that a lot of the same team from Leap Motion followed David into Midjourney and now into this hardware exploration." "They were training neural nets before there was TensorFlow, before there was GPUs. They did it on CPUs, and they had some of the first neural network technology deployed in a consumer product." "So people are like, 'Why would a gen AI company pivot into medical devices?' It's really folks that came from the hardware world finding this unique blend between neural nets and hardware to achieve things people didn't think were possible." "If it's physically possible, I very much have faith that that team can pull it off."

Why is the Midjourney team uniquely qualified to build medical hardware? Beff (e/acc), founder of Extropic: "David's a trained physicist. He worked at NASA. He was a founder of Leap Motion, which is completely slept on as one of the first major projects he worked on." "What I really like about that team is that a lot of the same team from Leap Motion followed David into Midjourney and now into this hardware exploration." "They were training neural nets before there was TensorFlow, before there was GPUs. They did it on CPUs, and they had some of the first neural network technology deployed in a consumer product." "So people are like, 'Why would a gen AI company pivot into medical devices?' It's really folks that came from the hardware world finding this unique blend between neural nets and hardware to achieve things people didn't think were possible." "If it's physically possible, I very much have faith that that team can pull it off."

MTS

62,195 Aufrufe • vor 4 Monaten

Extropic founder Beff (e/acc) explains how Z1 chips sitting alongside GPUs could make AI data centers 100X more energy efficient: "The reason this hasn't been really explored is that there's not a huge upside for sparsity on traditional accelerators. Because GPUs aren't really good if you try to do matmuls that are sparse." "It's like shipping a big freight ship across the ocean with a bunch of empty containers. You're wasting a lot of gas. Whereas for us it's compute and memory, it's naturally sparse. We get a huge energy efficiency gain there" "Nowadays everybody's obsessed with tokens per watt at a data center level. If you incorporate TSUs like Z1 into your data center and park them next to your GPUs, you can get 100X energy efficiency gain at a data center level." "People are struggling to power these data centers. It's become the bottleneck. There's a bunch of GPUs sitting on the sidelines right now that can't be powered on, and people are thinking of creating a Dyson swarm to get more power. Why don't we just compute more efficiently first?" Extropic

Extropic founder Beff (e/acc) explains how Z1 chips sitting alongside GPUs could make AI data centers 100X more energy efficient: "The reason this hasn't been really explored is that there's not a huge upside for sparsity on traditional accelerators. Because GPUs aren't really good if you try to do matmuls that are sparse." "It's like shipping a big freight ship across the ocean with a bunch of empty containers. You're wasting a lot of gas. Whereas for us it's compute and memory, it's naturally sparse. We get a huge energy efficiency gain there" "Nowadays everybody's obsessed with tokens per watt at a data center level. If you incorporate TSUs like Z1 into your data center and park them next to your GPUs, you can get 100X energy efficiency gain at a data center level." "People are struggling to power these data centers. It's become the bottleneck. There's a bunch of GPUs sitting on the sidelines right now that can't be powered on, and people are thinking of creating a Dyson swarm to get more power. Why don't we just compute more efficiently first?" Extropic

MTS

16,438 Aufrufe • vor 2 Monaten

"I think among a lot of Democrats there's this kind of what psychologists would call 'learned helplessness' where you just think, 'Well we can't do anything about it. We have to wait till 2029' ... In New York with some people it's just like, 'Well we just have to do our things in New York and not worry about the rest of the country.' It does not work that way. We are one country. Our democracy can rise or fall on what this man is doing. And, it's not just our democracy. ... It directly affects our lives. The stability of our economy depends on the belief in the rule of law that people think we have a stable legal system, and it's hard to believe that today"

"I think among a lot of Democrats there's this kind of what psychologists would call 'learned helplessness' where you just think, 'Well we can't do anything about it. We have to wait till 2029' ... In New York with some people it's just like, 'Well we just have to do our things in New York and not worry about the rest of the country.' It does not work that way. We are one country. Our democracy can rise or fall on what this man is doing. And, it's not just our democracy. ... It directly affects our lives. The stability of our economy depends on the belief in the rule of law that people think we have a stable legal system, and it's hard to believe that today"

George Conway ⚖️🇺🇸

80,959 Aufrufe • vor 5 Monaten

“There are two crypto assets worth more than $100 billion: BTC and ETH. In many ways, Ethereum is in a unique position. Ethereum has had a lot of success. The problem is, it had that success five years ago… so the market is saying “you won round one, but what’s round two?” So internally, our prompt has been “what does it take for ETH to become a trillion dollar asset?” There aren’t many individual trillion dollar assets on earth, so what does it take for ETH to be a trillion dollar asset? For Ethlabs, that will be one of our north stars. We’d be a bit full of ourselves if we came out and said that we had the answer today; it’s going to be a huge project for the entire community. But Ethlabs can act as the bridge. We can be the entity that goes and talks to the people that want to take on that mission. Then we can go and talk to the people that help steward Ethereum and work together to make that outcome happen.” — ansgar.eth talks Ethlabs and a trillion dollar Ethereum on Bankless.

“There are two crypto assets worth more than $100 billion: BTC and ETH. In many ways, Ethereum is in a unique position. Ethereum has had a lot of success. The problem is, it had that success five years ago… so the market is saying “you won round one, but what’s round two?” So internally, our prompt has been “what does it take for ETH to become a trillion dollar asset?” There aren’t many individual trillion dollar assets on earth, so what does it take for ETH to be a trillion dollar asset? For Ethlabs, that will be one of our north stars. We’d be a bit full of ourselves if we came out and said that we had the answer today; it’s going to be a huge project for the entire community. But Ethlabs can act as the bridge. We can be the entity that goes and talks to the people that want to take on that mission. Then we can go and talk to the people that help steward Ethereum and work together to make that outcome happen.” — ansgar.eth talks Ethlabs and a trillion dollar Ethereum on Bankless.

dreamsofdefi

38,401 Aufrufe • vor 4 Monaten

DAVE SMITH: WE HAVE AN UNPRECEDENTED DEBT CRISIS—BUT THEY TELL YOU ELON IS THE PROBLEM!? “The U.S. federal government is the biggest organization in the history of the world. We spend more than any other government in the history of the world has ever spent. We are so far in debt now that the interest on the debt is now, I believe last year it was $1.2 trillion. And it's going up. The interest on the debt is now overtaking the entire budget. If we balanced our budget tomorrow, we still run a trillion-dollar deficit every year just because we owe it on the interest on the debt. This is so obviously a crisis. And then they're trying to convince you that the real crisis is that Elon Musk and a few of his genius nerd buddies want to open the books. How the fuck can you convince anyone of that?” Source: The Joe Rogan Experience, April 3, 2025

DAVE SMITH: WE HAVE AN UNPRECEDENTED DEBT CRISIS—BUT THEY TELL YOU ELON IS THE PROBLEM!? “The U.S. federal government is the biggest organization in the history of the world. We spend more than any other government in the history of the world has ever spent. We are so far in debt now that the interest on the debt is now, I believe last year it was $1.2 trillion. And it's going up. The interest on the debt is now overtaking the entire budget. If we balanced our budget tomorrow, we still run a trillion-dollar deficit every year just because we owe it on the interest on the debt. This is so obviously a crisis. And then they're trying to convince you that the real crisis is that Elon Musk and a few of his genius nerd buddies want to open the books. How the fuck can you convince anyone of that?” Source: The Joe Rogan Experience, April 3, 2025

Mario Nawfal

121,105 Aufrufe • vor 1 Jahr

FULL INTERVIEW: Beff (e/acc) says Z1T hits up to 140x the energy efficiency of a GPU, and 100x at the data center level. The end game, he says, is chips in space powered by the sun. Beff (e/acc) is founder and CEO of Extropic. He joined sof 𓋹 to launch Z1T, the first family of transformer-like models built for sparse probabilistic hardware: 01:12 what Z1T is, and how long they've been cooking it 02:32 why models on GPUs are dense and his chip isn't 03:15 a new scaling law where you scale connectivity, not just flops 04:08 how you get 140x, and why a pbit uses 10,000 fewer transistors 07:12 where Z1 sits next to GPUs, and why it's decode not prefill 08:37 100x energy efficiency at the data center level 09:14 you might see Extropic chips in space sooner rather than later 09:45 open weights vs an open training recipe 10:24 Z1T is barely GPT-2, and they started a run last night for GPT-3 11:05 the chips are cooking right now at a major fab overseas 12:58 gated convolutional attention, and the layer they haven't cracked 14:03 the Hardware Lottery, and why he wants people gambling again 15:20 what happens if inference gets 1,000x more efficient 16:59 why you can do this research without a basement full of GPUs

FULL INTERVIEW: Beff (e/acc) says Z1T hits up to 140x the energy efficiency of a GPU, and 100x at the data center level. The end game, he says, is chips in space powered by the sun. Beff (e/acc) is founder and CEO of Extropic. He joined sof 𓋹 to launch Z1T, the first family of transformer-like models built for sparse probabilistic hardware: 01:12 what Z1T is, and how long they've been cooking it 02:32 why models on GPUs are dense and his chip isn't 03:15 a new scaling law where you scale connectivity, not just flops 04:08 how you get 140x, and why a pbit uses 10,000 fewer transistors 07:12 where Z1 sits next to GPUs, and why it's decode not prefill 08:37 100x energy efficiency at the data center level 09:14 you might see Extropic chips in space sooner rather than later 09:45 open weights vs an open training recipe 10:24 Z1T is barely GPT-2, and they started a run last night for GPT-3 11:05 the chips are cooking right now at a major fab overseas 12:58 gated convolutional attention, and the layer they haven't cracked 14:03 the Hardware Lottery, and why he wants people gambling again 15:20 what happens if inference gets 1,000x more efficient 16:59 why you can do this research without a basement full of GPUs

MTS

30,878 Aufrufe • vor 2 Monaten

$ATMANIRBHARTA ON NETANHAYU'S LIPS. NETANYAHU: "Our GDP per capita is $67000. We're going to be a $1 trillion economy soon. Our economy is no longer a small economy... we can finance ourselves this fraction of a percent of our GDP that we receive from the United States. I want to stop American aid. It's like welfare; I don't want it. I want this process to start this year."$

ATMANIRBHARTA ON NETANHAYU'S LIPS. NETANYAHU: "Our GDP per capita is $67000. We're going to be a $1 trillion economy soon. Our economy is no longer a small economy... we can finance ourselves this fraction of a percent of our GDP that we receive from the United States. I want to stop American aid. It's like welfare; I don't want it. I want this process to start this year."

Rahul Shivshankar

178,699 Aufrufe • vor 4 Monaten

Friedberg: “We're watching the birth of a new religion.” “The idea that you can prescribe or describe AI as being conscious is effectively the creation of a new belief system, a system that doesn't actually spread via proof, it spreads via narrative. ‘Please believe it with me. Here's why I think we should believe this thing together.’ It's not based on evidence, it’s not based on data, it's not provable. Over time, what happens is some set of people believe this thing, and they form a group. And in some cases, that group is known as a religion. And that new belief system creates new power structures, which is now, ‘Our view is different than your view, and we want to have more people on our side with our view. And therefore we have to try and create leverage and create power with our system.’ I think that if we fast-forward a couple of years, there's going to be large groups of people on Earth that are gonna believe that AI is conscious, and there are going to be large groups of people that believe that AI is not conscious. And those groups will come into conflict, fighting over control of the AI, or allowing the AI to do things or not do things, or who gets to use the AI, or who gets to be in charge of the AI. And it will very likely lead to human to human conflict. I know that that's a very far and deep extrapolation of where we are, but I think that the fact that we are seeing (Anthropic) go and meet with religious leaders today to try and get them to believe in this new belief system plants the seed. And it's not just anyone doing this, it is the most powerful AI lab on Earth. And you can see in the Claude usage policy that was just published, it says, ‘You are not allowed to engage in sustained and needless abusive or cruel behavior toward our models.’ There is an anthropomorphizing conditioning going on with all of us where we talk about models as if they are a thing. One way to describe this is a software program is writing text on a screen that tells the user, ‘I am a thing.’”

Friedberg: “We're watching the birth of a new religion.” “The idea that you can prescribe or describe AI as being conscious is effectively the creation of a new belief system, a system that doesn't actually spread via proof, it spreads via narrative. ‘Please believe it with me. Here's why I think we should believe this thing together.’ It's not based on evidence, it’s not based on data, it's not provable. Over time, what happens is some set of people believe this thing, and they form a group. And in some cases, that group is known as a religion. And that new belief system creates new power structures, which is now, ‘Our view is different than your view, and we want to have more people on our side with our view. And therefore we have to try and create leverage and create power with our system.’ I think that if we fast-forward a couple of years, there's going to be large groups of people on Earth that are gonna believe that AI is conscious, and there are going to be large groups of people that believe that AI is not conscious. And those groups will come into conflict, fighting over control of the AI, or allowing the AI to do things or not do things, or who gets to use the AI, or who gets to be in charge of the AI. And it will very likely lead to human to human conflict. I know that that's a very far and deep extrapolation of where we are, but I think that the fact that we are seeing (Anthropic) go and meet with religious leaders today to try and get them to believe in this new belief system plants the seed. And it's not just anyone doing this, it is the most powerful AI lab on Earth. And you can see in the Claude usage policy that was just published, it says, ‘You are not allowed to engage in sustained and needless abusive or cruel behavior toward our models.’ There is an anthropomorphizing conditioning going on with all of us where we talk about models as if they are a thing. One way to describe this is a software program is writing text on a screen that tells the user, ‘I am a thing.’”

The All-In Podcast

48,299 Aufrufe • vor 28 Tagen

RUBIO: "Cuba has an economy that doesn't work." It's a nonfunctional economy, and the people in charge don't know how to fix it, so they have to get new people in charge." Can we handle our own economy before we blow up the entire planet? This is insane.

RUBIO: "Cuba has an economy that doesn't work." It's a nonfunctional economy, and the people in charge don't know how to fix it, so they have to get new people in charge." Can we handle our own economy before we blow up the entire planet? This is insane.

CALL TO ACTIVISM

164,277 Aufrufe • vor 7 Monaten

Etched is deploying two new technologies in chip design: low-voltage inference and cluster-scale memory. CEO Gavin Uberti says they'll make their chips much more power-efficient and way, way faster than today's leading GPUs. He breaks it down: "We looked at a lot of early research directions, and we realized the key things that models need are way more compute and way faster memory." "If you think about inference, there are two key parts: prefill and decode. For prefill, it's a compute-bound problem. You need to have more FLOPS, more operations per second on each of your chips." "On our GPU, the bottleneck's actually thermals. You can't really run a GPU at more than around 50% of what it could theoretically do, or it'll melt." "So we're using a new technology today called low-voltage inference to try to solve this problem. You bring the voltage of the chip down dramatically, which allows us to have way, way better efficiency in terms of how much power is drawn per unit of math, and thus fit way way more flops onto the chip..." "For decode, it's all about bandwidth. Not just bandwidth on a chip, but bandwidth across your cluster. That's why we have this technology we call cluster-scale memory. It reduces the amount of time it takes to communicate from one chip to another dramatically." "As a result we can go use all of our HBM, HBM bandwidth, SRAM, SRAM bandwidth, and our scale-up domain as a single coherent pool. And that means if you're a user, you can go get much faster tokens per second, while still keeping your costs low."

Etched is deploying two new technologies in chip design: low-voltage inference and cluster-scale memory. CEO Gavin Uberti says they'll make their chips much more power-efficient and way, way faster than today's leading GPUs. He breaks it down: "We looked at a lot of early research directions, and we realized the key things that models need are way more compute and way faster memory." "If you think about inference, there are two key parts: prefill and decode. For prefill, it's a compute-bound problem. You need to have more FLOPS, more operations per second on each of your chips." "On our GPU, the bottleneck's actually thermals. You can't really run a GPU at more than around 50% of what it could theoretically do, or it'll melt." "So we're using a new technology today called low-voltage inference to try to solve this problem. You bring the voltage of the chip down dramatically, which allows us to have way, way better efficiency in terms of how much power is drawn per unit of math, and thus fit way way more flops onto the chip..." "For decode, it's all about bandwidth. Not just bandwidth on a chip, but bandwidth across your cluster. That's why we have this technology we call cluster-scale memory. It reduces the amount of time it takes to communicate from one chip to another dramatically." "As a result we can go use all of our HBM, HBM bandwidth, SRAM, SRAM bandwidth, and our scale-up domain as a single coherent pool. And that means if you're a user, you can go get much faster tokens per second, while still keeping your costs low."

TBPN

20,404 Aufrufe • vor 4 Monaten

Flapping Airplanes co-founder Asher Spector explains why data efficiency is the greatest bottleneck to AI adoption: "To the extent that AI has been hard to integrate into the economy, I really think it's because models are much less data-efficient than humans. If you want it to learn a new task, or put it in a new vertical, it takes thousands of times more effort than it does to just tell a human what to do." "If you can make a model a million times more data-efficient, it's a million times easier to put into the economy. There's a ton of cool stuff that you can do in really data-constrained regimes. For example, whether it's robotics, or scientific discovery, or even something like trading, these problems have very limited data, and existing AI systems aren't quite as good at them as they are at other things. I think that learning to learn with less data is just tremendously valuable in all of these domains."

Flapping Airplanes co-founder Asher Spector explains why data efficiency is the greatest bottleneck to AI adoption: "To the extent that AI has been hard to integrate into the economy, I really think it's because models are much less data-efficient than humans. If you want it to learn a new task, or put it in a new vertical, it takes thousands of times more effort than it does to just tell a human what to do." "If you can make a model a million times more data-efficient, it's a million times easier to put into the economy. There's a ton of cool stuff that you can do in really data-constrained regimes. For example, whether it's robotics, or scientific discovery, or even something like trading, these problems have very limited data, and existing AI systems aren't quite as good at them as they are at other things. I think that learning to learn with less data is just tremendously valuable in all of these domains."

TBPN

92,663 Aufrufe • vor 9 Monaten

🚨NEW: Adam Curry nicely breaks down how Stablecoins work, Tether, and the likely future of the US Digital Dollar system. (Worth a watch if you don't know about this subject) "A stablecoin is a digital dollar thats pegged to the dollar so it's always a dollar. It's already being used all over the internet and the world. The only reason it's worth a dollar is because the stablecoin company that creates it has debt and paper to back it up. They buy America's debt, they buy treasury bonds or T-bills that pay a dividend that gives interest, and for each dollar they've bought in treasury they can create stablecoins. If you look at the company Tether they've bought more of the US debt than most countries. They have $160B worth of US debt. For each of those dollars they have a stablecoin. There's like 50 people in the company. They have $160B at 4% interest annually, they're making BANK just for holding this debt. I think that President Trump is very smart in seeing that we can flood the world with our stablecoin and we get a 2-for-1. We create a dollar of debt and we create another dollar that can be used all over the world as a reserve currency and that should result in some new monetary system that we need to come up with to have our dollar valued properly but also still remain the reserve currency and remain a strong export country. We don't make anything that we sell abroad, we can't all serve each other burgers and fries -- we have to build something. All of that went overseas. There's something big coming, and it has to happen. Trump is a meta guy. He's going to re-finance the country. It'll be digital and he Bitcoiners don't like this because they want Bitcoin to be the one currency that everyone uses but its now more like a digital gold that's much easier to move around. It's useful but it isn't money or currency the way it was originally intended -- but it is still very important and will be part of the US' strategic reserve. It looks to me like Stablecoins and Tether in particular will be the future of the US dollar payments. A lot of people on the right are afraid of being controlled on a grid because you can stop stablecoins -- but it seems there's no way of getting around some form of a digital dollar. I still like Bitcoin as a backup to protect from that control." Great breakdown Adam Curry - curryirc.com

🚨NEW: Adam Curry nicely breaks down how Stablecoins work, Tether, and the likely future of the US Digital Dollar system. (Worth a watch if you don't know about this subject) "A stablecoin is a digital dollar thats pegged to the dollar so it's always a dollar. It's already being used all over the internet and the world. The only reason it's worth a dollar is because the stablecoin company that creates it has debt and paper to back it up. They buy America's debt, they buy treasury bonds or T-bills that pay a dividend that gives interest, and for each dollar they've bought in treasury they can create stablecoins. If you look at the company Tether they've bought more of the US debt than most countries. They have $160B worth of US debt. For each of those dollars they have a stablecoin. There's like 50 people in the company. They have $160B at 4% interest annually, they're making BANK just for holding this debt. I think that President Trump is very smart in seeing that we can flood the world with our stablecoin and we get a 2-for-1. We create a dollar of debt and we create another dollar that can be used all over the world as a reserve currency and that should result in some new monetary system that we need to come up with to have our dollar valued properly but also still remain the reserve currency and remain a strong export country. We don't make anything that we sell abroad, we can't all serve each other burgers and fries -- we have to build something. All of that went overseas. There's something big coming, and it has to happen. Trump is a meta guy. He's going to re-finance the country. It'll be digital and he Bitcoiners don't like this because they want Bitcoin to be the one currency that everyone uses but its now more like a digital gold that's much easier to move around. It's useful but it isn't money or currency the way it was originally intended -- but it is still very important and will be part of the US' strategic reserve. It looks to me like Stablecoins and Tether in particular will be the future of the US dollar payments. A lot of people on the right are afraid of being controlled on a grid because you can stop stablecoins -- but it seems there's no way of getting around some form of a digital dollar. I still like Bitcoin as a backup to protect from that control." Great breakdown Adam Curry - curryirc.com

Autism Capital 🧩

365,848 Aufrufe • vor 1 Jahr

"When social media first started rising, we didn't necessarily realize how much of that was actually just foundational infrastructure for the future of humanity.” Ben Fielding of gensyn on why AI is about to repeat the mistake social media made, and how we can still fix it: "This isn't just a product that you chat with. It's actually new fundamental infrastructure for humanity, and we should build that learning from the lessons from before. If we let a single company build AI, they hold an enormous amount of power in the world." "If you actually distribute that out and provide it in a kind of sovereign way — it's on all of our own devices and we own it — then actually you steer the world in a very different social direction."

"When social media first started rising, we didn't necessarily realize how much of that was actually just foundational infrastructure for the future of humanity.” Ben Fielding of gensyn on why AI is about to repeat the mistake social media made, and how we can still fix it: "This isn't just a product that you chat with. It's actually new fundamental infrastructure for humanity, and we should build that learning from the lessons from before. If we let a single company build AI, they hold an enormous amount of power in the world." "If you actually distribute that out and provide it in a kind of sovereign way — it's on all of our own devices and we own it — then actually you steer the world in a very different social direction."

a16z crypto

79,441 Aufrufe • vor 6 Monaten