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Tillman says Bitcoin proves decentralized networks work at scale, and AI compute should follow "The thing from a safety perspective in AI, we're focused on the wrong thing. How powerful the model gets is one aspect. Where the compute is stored is the most important aspect." "If you decentralize... the compute across the entire nation like we do our grid system, like we do electricity poles, and put a compute box on each electric pole that's owned as a utility across the country. Then guess what? There isn't this big, bad, scary monster that has a huge amount of computers in an underground bunker that can essentially rule us with an iron fist." "And that's what I think the Bitcoin standard shows. If you're going to take anything from Bitcoin and what it's done: it's the largest network that's ever been built by humans, and it was built organically on natural law principles of supply and demand."show more

The Wolf Of All Streets

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27,603 views • 1 day ago •via X (Twitter)

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6 Comments

(Coach K)1 day ago

Alignment without distribution is just asking nicely.

The Wolf Of All Streets1 day ago

FT @TEXASOL61 This clip is brought to you by @hodlwithLedn

Zcash Maxi 🛡️1 day ago

Decentralizing compute is the right instinct — the money that funds those GPUs still defaults to glass. Agents will scrape every transparent ledger the way they scrape public chain data. ZEC is the scarce settlement layer that can stay quiet while the GPUs fan out.

Gasper Stih1 day ago

centralized compute is the single point of failure. distributed nodes solve the capture problem before it starts.

Caitlin1 day ago

Interesting perspective. The next phase of AI may be as much about who controls the compute as who builds the best models. @StevenB78325104

JesusLovesUs1 day ago

Sound analysis. 💪

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“There are more companies than ideas by quite a bit. Compute is large enough such that it's not obvious that you need that much more compute to prove some idea. AlexNet was built on 2 GPUs. The transformer was built on 8 to 64 GPUs. Which would be, what, 2 GPUs of today? You could argue that o1 reasoning was not the most compute heavy thing in the world. For research, you definitely need some amount of compute, but it's far from obvious that you need the absolutely largest amount of compute. If everyone is within the same paradigm, then compute becomes one of the big differentiators.” Ilya Sutskever

Dwarkesh Patel

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Shaun Maguire on SpaceX IPO: "Starship is the railroad to space." "In 2019, it was very predictable that Starlink would work and produce a massive amount of revenue, and we called that right." "We're now in a very similar point to where Starlink was in 2019 with AI infrastructure and orbital compute." "I think people are really underestimating how far along the orbital compute product is right now." On the $22 trillion TAM: "What do you think is the TAM for intelligence? What's the TAM for all compute infrastructure 50 years from now?" "People are underappreciating how much infrastructure is going to be built in space and how much easier it is to access energy in space." "We're at the beginning of this AI era, and we're going to double or triple the total amount of intelligence that we have access to over the next decade — so yes, I absolutely believe in the TAM, and I would even argue it's an underestimate." How much is the "railroad to space" worth in the era of AI and orbital compute? Now imagine the railroad company also owns the AI and the orbital compute. Elon Musk Shaun Maguire

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KanekoaTheGreat

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Sam Altman says the AI infrastructure race is not about bigger chatbots. It is about shifting the planet's intellectual output from human brains to AI brains. "If people knew what we could do with compute, they would want way, way more." "The thing I am personally most excited about is to use AI and lots of compute to discover new science." "A recent cool example here is we built the Sora Android app using Codex... in less than a month." "You can imagine that way much further, where entire companies can build their products using lots of compute." Then he gives the scale: "Let's say that an AI company today might be generating something on the order of 10 trillion tokens a day out of frontier models." "We're going to have these models at a company be outputting more tokens per day than all of humanity put together, and then 10 times that, and then 100 times that." The bottleneck is moving from software talent to compute supply, inference speed, product integration, and where all that machine intelligence gets pointed.

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Karl Mehta

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Bitcoin is money AND digital gold. The two are not mutually exclusive. For Michael Saylor - it's the purest form of digital credit. For David Marcus - it's the payment rails of the future. "No one cares what humans think about how people need to Bitcoin because it's an unopinionated, code-based money platform." The Lightspark founder is forging ahead with building Bitcoin-based payment rails, while Saylor and Strategy are doubling down on Bitcoin-backed financial products. "I'm really grateful that Michael is really focused on the store of value use case, and he can do that, and I can be the one focused on bringing utility to Bitcoin. Both things will actually help one another to make Bitcoin more relevant to many more people and that's the beauty of building on an open network," Marcus told Robert Baggs and me on our latest Chain Reaction show. Marcus has been keenly focused on abstracting complexity away from payments using Bitcoin payments infrastructure with the launch of Lightspark Grid. "It's like Bitcoin as a network being used to move all kinds of other money, whether it's stablecoin or fiat at the edges, and you don't even understand that you're using Bitcoin. For instance, if you're a SoFi client in the US, and you want to send money to Europe or India, Brazil or Mexico, you send dollars and the other person on the other side receives Mexican peso, you have no clue you're using Bitcoin. And it's like magical TCP/IP for money between payment systems in the world." Bitcoin infrastructure works. Like most widely adopted technologies, the average person has no idea what's going on under the hood. That is the future that takes Bitcoin global. And it's being built in real-time.

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Gareth Jenkinson

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a16z

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Jeff Dean says he's bullish on specialized hardware because a handful of workloads will be a lot of the world's compute "I'm pretty bullish on more and more specialized hardware, because I think that's the way you really get much more efficient systems." "And we now have workloads where there's like a handful of workloads that are going to be a lot of the compute in the world." "And so if you think about that, that is crying out for specialization." "The problem with specialization is if what you want to do changes in the future, then the thing you've lovingly crafted in hardware for maybe two years is no longer perhaps as relevant."

Fireside Alpha

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Cedric Youngelman ⚡️

10,533 views • 2 months ago

Ed Dowd: "What we're learning from the Epstein files is that it's an operating system...[and] let's not forget Epstein was involved in money laundering... [and now] Bitcoin has been tied to... Epstein, and he's been involved in taking over the network and funding it... If you wanted to set up your own dark-money blackmail operation and launder money, Bitcoin would be the perfect way to do it, I guess." This clip of Dowd (Edward Dowd), a former BlackRock fund manager and co-founder of Phinance Technologies, is taken from an interview with Jesse Day (Jesse Day) posted to the Commodity Culture YouTube channel on February 28, 2026. ---------------Partial transcription of clip--------------- "What we're learning from the Epstein files is that it's an operating system. So we have the public-facing institutions, but we find out there's a layer of people above them that know how to manipulate that whole thing to their benefit through Kompromat and blackmail, and money laundering. "Let's not forget Epstein was involved in money laundering. That's how a lot of this stuff was. It's all dark money. And the other thing that surprised me, that I didn't. This angle I didn't think of. And again, we'll find out more, but Bitcoin has been tied to Jeffrey Epstein, and he's been involved in taking over the network and funding it. I don't know what to think of that and intuitively makes sense. "If you wanted to set up your own dark money blackmail operation and launder money, Bitcoin would be the perfect way to do it. I guess. So, you know, there's a lot that's being revealed, and I don't, you know, I don't know what that means for Bitcoin long term, but, it certainly kind of disrupts the narrative that bitcoin is freedom. "I mean, that was kind of one of the narratives that we were hearing. And I've never been a bitcoin, bear or bull. I've always said it's a. It's a proxy for NASDAQ and liquidity trade, you know. You know, buyer beware. It's not a store of wealth. It's very volatile. So that's what it's always been to me is a volatile, you know, 95% correlated asset to the NASDAQ."

Ed Dowd: "What we're learning from the Epstein files is that it's an operating system...[and] let's not forget Epstein was involved in money laundering... [and now] Bitcoin has been tied to... Epstein, and he's been involved in taking over the network and funding it... If you wanted to set up your own dark-money blackmail operation and launder money, Bitcoin would be the perfect way to do it, I guess." This clip of Dowd (Edward Dowd), a former BlackRock fund manager and co-founder of Phinance Technologies, is taken from an interview with Jesse Day (Jesse Day) posted to the Commodity Culture YouTube channel on February 28, 2026. ---------------Partial transcription of clip--------------- "What we're learning from the Epstein files is that it's an operating system. So we have the public-facing institutions, but we find out there's a layer of people above them that know how to manipulate that whole thing to their benefit through Kompromat and blackmail, and money laundering. "Let's not forget Epstein was involved in money laundering. That's how a lot of this stuff was. It's all dark money. And the other thing that surprised me, that I didn't. This angle I didn't think of. And again, we'll find out more, but Bitcoin has been tied to Jeffrey Epstein, and he's been involved in taking over the network and funding it. I don't know what to think of that and intuitively makes sense. "If you wanted to set up your own dark money blackmail operation and launder money, Bitcoin would be the perfect way to do it. I guess. So, you know, there's a lot that's being revealed, and I don't, you know, I don't know what that means for Bitcoin long term, but, it certainly kind of disrupts the narrative that bitcoin is freedom. "I mean, that was kind of one of the narratives that we were hearing. And I've never been a bitcoin, bear or bull. I've always said it's a. It's a proxy for NASDAQ and liquidity trade, you know. You know, buyer beware. It's not a store of wealth. It's very volatile. So that's what it's always been to me is a volatile, you know, 95% correlated asset to the NASDAQ."

Sense Receptor

21,167 views • 7 months ago

The question that Americans across the nation have to answer this fall is whether we're going turn the greatest nation in the history of the world over to communism and big government socialism as radical left Democrats insist—or—whether we're going maintain our status as a constitutional republic, the great nation, the grand experiment in self-governance that's built on our foundational principles like individual freedom and unlimited opportunity and human dignity and the rule of law. That's what we stand for. That’s what Republicans stand for. That's what we'll always stand for, and that's what we're doing and advancing here every day.

The question that Americans across the nation have to answer this fall is whether we're going turn the greatest nation in the history of the world over to communism and big government socialism as radical left Democrats insist—or—whether we're going maintain our status as a constitutional republic, the great nation, the grand experiment in self-governance that's built on our foundational principles like individual freedom and unlimited opportunity and human dignity and the rule of law. That's what we stand for. That’s what Republicans stand for. That's what we'll always stand for, and that's what we're doing and advancing here every day.

Speaker Mike Johnson

57,759 views • 29 days ago

.Secretary Marco Rubio: "We know how special this country is. It's the place that gave us freedom. It's the place that's given us opportunity. It's the place that has given our parents, our grandparents, and many of you the chance not just to do well in life, but to do the most important thing any of us ever want, and that is to leave our children better off than ourselves. That is what makes America special. That's why we love it. That's why we're passionate about it. That is our heritage in this country."

.Secretary Marco Rubio: "We know how special this country is. It's the place that gave us freedom. It's the place that's given us opportunity. It's the place that has given our parents, our grandparents, and many of you the chance not just to do well in life, but to do the most important thing any of us ever want, and that is to leave our children better off than ourselves. That is what makes America special. That's why we love it. That's why we're passionate about it. That is our heritage in this country."

Rapid Response 47

56,530 views • 3 hours ago

Elon Musk explains Tesla’s new Megapod concept for scaling distributed AI compute: “We’re building a Megapod design that pairs Tesla AI4 computers with x86 systems in a box...essentially digital Optimus in a box Similar to how Megapack packages batteries, a Megapod would combine a large number of AI4 and x86 systems inside one deployable unit These boxes could be placed anywhere across the country or outside the country allowing us to scale AI compute using distributed electricity production There is power available all around the world, including at our Supercharger sites. We have something like 7 gigawatts of power across the Supercharger network, and that continues to grow We could place Megapods at many of these locations and use that distributed power for AI compute I think that could be quite a big deal” Instead of relying entirely on enormous centralized data centers, Tesla could deploy modular AI-compute infrastructure wherever sufficient power is already available

Elon Musk explains Tesla’s new Megapod concept for scaling distributed AI compute: “We’re building a Megapod design that pairs Tesla AI4 computers with x86 systems in a box...essentially digital Optimus in a box Similar to how Megapack packages batteries, a Megapod would combine a large number of AI4 and x86 systems inside one deployable unit These boxes could be placed anywhere across the country or outside the country allowing us to scale AI compute using distributed electricity production There is power available all around the world, including at our Supercharger sites. We have something like 7 gigawatts of power across the Supercharger network, and that continues to grow We could place Megapods at many of these locations and use that distributed power for AI compute I think that could be quite a big deal” Instead of relying entirely on enormous centralized data centers, Tesla could deploy modular AI-compute infrastructure wherever sufficient power is already available

X Freeze

17,025 views • 2 months ago

Tillman says if you're just sitting on your Bitcoin, you're the sucker in the room "The thing you're hammering on, which is very underspoken and most people don't realise, is that volatility is something that can be harvested" "If you're literally trying to just sit on your Bitcoin, you're the sucker in the room. The reason the inflows happen is because it has the potential to give you the volatility and the depth of liquidity needed to harvest that volatility" "That's a very unique value proposition that Bitcoin has given the world across a global market"

Tillman says if you're just sitting on your Bitcoin, you're the sucker in the room "The thing you're hammering on, which is very underspoken and most people don't realise, is that volatility is something that can be harvested" "If you're literally trying to just sit on your Bitcoin, you're the sucker in the room. The reason the inflows happen is because it has the potential to give you the volatility and the depth of liquidity needed to harvest that volatility" "That's a very unique value proposition that Bitcoin has given the world across a global market"

The Wolf Of All Streets

73,657 views • 1 month ago

🚨 Jensen Huang says everyone panicked about the AI data when MOST training data was never REAL to begin with. Ilya Sutskever told the industry pre-training was over. "Ilya said, 'We're out of data,' or something like that. 'Pre-training is over,' or something like that," Huang says. "The industry panicked, you know, that this is the end of AI." "And of course, of course that's obviously not true. We're gonna keep on scaling the amount of data that we have to train with." "A lot of that data is probably gonna be synthetic." That's where the panic came from — synthetic data sounds like cheating. "Most of the data that we are training, that we teach each other with, inform each other with, is synthetic." "It's synthetic because it didn't come out of nature." "You created it. I'm consuming it. I modify it, augment it, I regenerate it, somebody else consumes it." The textbook in your hand is synthetic. The post you're reading is synthetic. The lecture you took is synthetic. Nature didn't make any of it. Humans did. AI just learned to do the same thing — faster. "Training is now limited by compute," Huang says. "Data is now limited by compute." The data wall wasn't a wall. It was a mirror. If you're new here, follow @AiEvolutio for the latest on ChatGPT, Claude, and the AI tools shaping how we work and create. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast

🚨 Jensen Huang says everyone panicked about the AI data when MOST training data was never REAL to begin with. Ilya Sutskever told the industry pre-training was over. "Ilya said, 'We're out of data,' or something like that. 'Pre-training is over,' or something like that," Huang says. "The industry panicked, you know, that this is the end of AI." "And of course, of course that's obviously not true. We're gonna keep on scaling the amount of data that we have to train with." "A lot of that data is probably gonna be synthetic." That's where the panic came from — synthetic data sounds like cheating. "Most of the data that we are training, that we teach each other with, inform each other with, is synthetic." "It's synthetic because it didn't come out of nature." "You created it. I'm consuming it. I modify it, augment it, I regenerate it, somebody else consumes it." The textbook in your hand is synthetic. The post you're reading is synthetic. The lecture you took is synthetic. Nature didn't make any of it. Humans did. AI just learned to do the same thing — faster. "Training is now limited by compute," Huang says. "Data is now limited by compute." The data wall wasn't a wall. It was a mirror. If you're new here, follow @AiEvolutio for the latest on ChatGPT, Claude, and the AI tools shaping how we work and create. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast

AI Evolution

15,565 views • 4 months ago

$INFERRA Just came across Inferra and this one actually feels really interesting. 9ufM9TJd1UEmi9awnGfxCkCHAgQ3JZ5Sw6YxeSeEASY They're building a decentralized marketplace where AI compute becomes a tradable commodity. Instead of letting GPU power sit idle, providers can list verified compute capacity while users can buy, sell, trade, or redeem it for actual compute access. What caught my attention is that they're approaching compute like a real market, with spot trading, futures, and eventually inference markets. As AI demand keeps exploding, compute is becoming one of the most valuable resources in the industry. Projects focused on making that resource more liquid and accessible make a lot of sense to me. High risk as marketcap is tiny. But definitely an interesting compute bet I aped small. DYOR. RR

$INFERRA Just came across Inferra and this one actually feels really interesting. 9ufM9TJd1UEmi9awnGfxCkCHAgQ3JZ5Sw6YxeSeEASY They're building a decentralized marketplace where AI compute becomes a tradable commodity. Instead of letting GPU power sit idle, providers can list verified compute capacity while users can buy, sell, trade, or redeem it for actual compute access. What caught my attention is that they're approaching compute like a real market, with spot trading, futures, and eventually inference markets. As AI demand keeps exploding, compute is becoming one of the most valuable resources in the industry. Projects focused on making that resource more liquid and accessible make a lot of sense to me. High risk as marketcap is tiny. But definitely an interesting compute bet I aped small. DYOR. RR

Crypto Ideology ✍🏻

14,105 views • 3 months ago

“I'm not a huge hater of the institutions. I wasn't a huge hater of altcoins. These institutional products are just kind of altcoins. People can go make their money. Go do your thing. But it's not Bitcoin. An ETF is not Bitcoin. With these centralized projects, you're not getting the core values of Bitcoin, the control, the censorship resistance, the privacy. You're putting it in a centralized wrapper, and if you put Bitcoin in a centralized wrapper, you lose everything that's good about it. It's not Bitcoin. It's just an affinity marketing thing. It's “Hey, you like Bitcoin, go buy my other project." Just like, "Hey you like bitcoin? Go buy my altcoin." It's not the same thing, and I think in many ways it's a step backwards. I don't hate these people, but they certainly shouldn't be celebrated. It's not forwarding our industry if we do treasury strategies, if we do ETFs, we cheer for BlackRock and Cantor. That's a step backwards. It's not something to be cheerful for. It's not a victory, in my opinion. A victory is having more people have direct ownership of real Bitcoin. We now have millions of people who've been onboarded into this fake paper thing that's a claim on a claim on a claim of something that has Bitcoin in the words, but it's not actually Bitcoin. They are never actually holding a wallet like many of us did back in 2012 where somebody sent us that first dollar and you say, "Wow, this is cool. I didn't need to give my ID and I'm able to control and hold this sound money for the first time." You now have a whole generation of millions of people that don't have that. They have some junk fiat product sitting like sludge on their centralized brokerage account at the centralized clearing firm, traded on a centralized exchange, with a centralized transfer agent, and a centralized custodian, and they have to trust six levels of people on a claim for something that has the word ‘Bitcoin’ in it. It's not a victory. It's not a step forward. I don't think it's something that should be celebrated at all.”

“I'm not a huge hater of the institutions. I wasn't a huge hater of altcoins. These institutional products are just kind of altcoins. People can go make their money. Go do your thing. But it's not Bitcoin. An ETF is not Bitcoin. With these centralized projects, you're not getting the core values of Bitcoin, the control, the censorship resistance, the privacy. You're putting it in a centralized wrapper, and if you put Bitcoin in a centralized wrapper, you lose everything that's good about it. It's not Bitcoin. It's just an affinity marketing thing. It's “Hey, you like Bitcoin, go buy my other project." Just like, "Hey you like bitcoin? Go buy my altcoin." It's not the same thing, and I think in many ways it's a step backwards. I don't hate these people, but they certainly shouldn't be celebrated. It's not forwarding our industry if we do treasury strategies, if we do ETFs, we cheer for BlackRock and Cantor. That's a step backwards. It's not something to be cheerful for. It's not a victory, in my opinion. A victory is having more people have direct ownership of real Bitcoin. We now have millions of people who've been onboarded into this fake paper thing that's a claim on a claim on a claim of something that has Bitcoin in the words, but it's not actually Bitcoin. They are never actually holding a wallet like many of us did back in 2012 where somebody sent us that first dollar and you say, "Wow, this is cool. I didn't need to give my ID and I'm able to control and hold this sound money for the first time." You now have a whole generation of millions of people that don't have that. They have some junk fiat product sitting like sludge on their centralized brokerage account at the centralized clearing firm, traded on a centralized exchange, with a centralized transfer agent, and a centralized custodian, and they have to trust six levels of people on a claim for something that has the word ‘Bitcoin’ in it. It's not a victory. It's not a step forward. I don't think it's something that should be celebrated at all.”

Bruce Fenton

23,882 views • 9 months ago

$MU $SKHY $DRAM Holy Shit $AMD's Lisa Su just spent two full minutes at the 2026 AI keynote raving about HBM4 capacity as the thing that separates Helios from the competition. Not compute. Memory. "When you compare Helios to the competition, we're delivering 15% more compute, 50% more HBM4 memory capacity and memory bandwidth, and 50% more scale-out bandwidth." Notice which number is bigger. "What that means is that every Helios can deliver more performance for the largest models, more capacity for longer context, and the bandwidth to scale across thousands of racks.... More than 18,000 CDNA five GPU compute units, over 4,600 Zen 6 CPU cores, and 31 terabytes of HBM4 memory, all in a single rack." "That's what it takes to run agentic AI at scale. Today, I'm excited to announce that Helios is in full production. We have shipments on track to start at the end of the third quarter and ramping into the fourth quarter in the second half of the year. I can tell you, customer demand for Helios is extremely strong, we're extremely proud of the work that we have done across the leading AI labs to adopt Helios."

$MU $SKHY $DRAM Holy Shit $AMD's Lisa Su just spent two full minutes at the 2026 AI keynote raving about HBM4 capacity as the thing that separates Helios from the competition. Not compute. Memory. "When you compare Helios to the competition, we're delivering 15% more compute, 50% more HBM4 memory capacity and memory bandwidth, and 50% more scale-out bandwidth." Notice which number is bigger. "What that means is that every Helios can deliver more performance for the largest models, more capacity for longer context, and the bandwidth to scale across thousands of racks.... More than 18,000 CDNA five GPU compute units, over 4,600 Zen 6 CPU cores, and 31 terabytes of HBM4 memory, all in a single rack." "That's what it takes to run agentic AI at scale. Today, I'm excited to announce that Helios is in full production. We have shipments on track to start at the end of the third quarter and ramping into the fourth quarter in the second half of the year. I can tell you, customer demand for Helios is extremely strong, we're extremely proud of the work that we have done across the leading AI labs to adopt Helios."

Trade Whisperer

180,543 views • 2 months ago

At LinqAI, we’ve been mission-driven since day one—building competitive, revenue-generating SaaS applications. As our product line has expanded and our customer base has grown, one thing has become clear: we have an opportunity to forge a deeper connection between our SaaS innovations and the Web3 ecosystem. As we scale our SaaS offerings, our demand for compute power continues to grow. Traditionally, paying for compute means sending value outside our ecosystem—resources spent elsewhere, never to return. But what if every compute cycle contributed to the LinqAI ecosystem itself? LinqProtocol is our answer. By transforming idle computers (PCs, laptops, servers, and in the future even phones) into a global compute network, we not only secure scalable and efficient infrastructure but also strengthen the utility of $LNQ—ensuring that every workload contributes to our own decentralized future. LinqProtocol allows for arbitrary compute which means that there are virtually no limits to what can be done on LinqProtocol. From AI Training, to Synthetic Data Generation, 3D Rendering and even hosting a Website - It's all possible on LinqProtocol. ✅ On-demand, scalable compute ✅ Transparent, fair-market pricing ✅ Trustless execution with real-time tracking ✅ Governance-based dispute resolution The future of compute isn’t just more efficient. It’s owned by those who use it. It’s decentralized. And it’s coming soon. $LNQ #LinqProtocol

At LinqAI, we’ve been mission-driven since day one—building competitive, revenue-generating SaaS applications. As our product line has expanded and our customer base has grown, one thing has become clear: we have an opportunity to forge a deeper connection between our SaaS innovations and the Web3 ecosystem. As we scale our SaaS offerings, our demand for compute power continues to grow. Traditionally, paying for compute means sending value outside our ecosystem—resources spent elsewhere, never to return. But what if every compute cycle contributed to the LinqAI ecosystem itself? LinqProtocol is our answer. By transforming idle computers (PCs, laptops, servers, and in the future even phones) into a global compute network, we not only secure scalable and efficient infrastructure but also strengthen the utility of $LNQ—ensuring that every workload contributes to our own decentralized future. LinqProtocol allows for arbitrary compute which means that there are virtually no limits to what can be done on LinqProtocol. From AI Training, to Synthetic Data Generation, 3D Rendering and even hosting a Website - It's all possible on LinqProtocol. ✅ On-demand, scalable compute ✅ Transparent, fair-market pricing ✅ Trustless execution with real-time tracking ✅ Governance-based dispute resolution The future of compute isn’t just more efficient. It’s owned by those who use it. It’s decentralized. And it’s coming soon. $LNQ #LinqProtocol

LinqAI

239,673 views • 1 year ago

Gavin Baker on the one variable that now dominates all others in AI compute: "the more memory you put with flop for a given unit of compute, the more tokens you get out -- it's the single most important thing you could do to increase token output per unit of compute." This is him laying out why the whole AI buildout now turns on memory, why breaking a supply agreement can end your entire franchise, and what Nvidia quietly writes into every equity check it signs. "You might blow up your entire business and your franchise by breaking an LTA." "If you break your LTA and then in the next two or three years for any reason leverage shifts back to the memory guys -- you're out of business." "Essentially every time they haven't taken an equity stake in something, it's been a mistake, they've taken equity stakes in everything essentially except the memory companies." Bookmark & watch ↓

Gavin Baker on the one variable that now dominates all others in AI compute: "the more memory you put with flop for a given unit of compute, the more tokens you get out -- it's the single most important thing you could do to increase token output per unit of compute." This is him laying out why the whole AI buildout now turns on memory, why breaking a supply agreement can end your entire franchise, and what Nvidia quietly writes into every equity check it signs. "You might blow up your entire business and your franchise by breaking an LTA." "If you break your LTA and then in the next two or three years for any reason leverage shifts back to the memory guys -- you're out of business." "Essentially every time they haven't taken an equity stake in something, it's been a mistake, they've taken equity stakes in everything essentially except the memory companies." Bookmark & watch ↓

Fireside Alpha

18,521 views • 1 month ago

The CEO of the world's largest asset manager just said something that should reframe how every investor thinks about the AI trade. Larry Fink, managing $11.5 trillion at BlackRock, stood at the Milken Institute Global Conference and said four words that matter, "We just don't have enough compute." "The United States is short power. We're short compute. We're short chips. And there's going to be shortages in all three and memory, four things. I actually believe a new asset class will be buying futures of compute." Think about what that means. Fink is predicting that compute becomes a tradable commodity like oil, like grain, like natural gas where investors buy forward contracts on future capacity because the shortage is so structural and so predictable that a derivatives market will emerge to price it. That is not a minor observation from a finance executive but rather the chairman of the most powerful capital allocator on the planet telling you that compute scarcity is a multi-year, investable megatrend. The data backs him up completely. Data centers will consume 70% of all memory chips produced globally in 2026. Advanced HBM production from Samsung, SK Hynix, and Micron is sold out through 2026 and into 2027 and a single AI server consumes 10-20x more memory than a conventional workload server. DRAM supply growth is running at just 16% annually while AI infrastructure demand is growing at 80%+. The chip crunch, the power crunch, and the compute crunch are not temporary dislocations, they are structural, and they will get worse before they get better. Fink also said something the bears keep getting wrong: "There is not an AI bubble. There is the opposite. We have supply shortages. Demand is growing much faster than anyone has ever anticipated." This is why the Milk Road Pro portfolio is built the way it is, long the companies producing and supplying the constrained resources: chips, memory, compute infrastructure, and power. Check out Milk Road Pro, link below to access our full thesis and plays.

The CEO of the world's largest asset manager just said something that should reframe how every investor thinks about the AI trade. Larry Fink, managing $11.5 trillion at BlackRock, stood at the Milken Institute Global Conference and said four words that matter, "We just don't have enough compute." "The United States is short power. We're short compute. We're short chips. And there's going to be shortages in all three and memory, four things. I actually believe a new asset class will be buying futures of compute." Think about what that means. Fink is predicting that compute becomes a tradable commodity like oil, like grain, like natural gas where investors buy forward contracts on future capacity because the shortage is so structural and so predictable that a derivatives market will emerge to price it. That is not a minor observation from a finance executive but rather the chairman of the most powerful capital allocator on the planet telling you that compute scarcity is a multi-year, investable megatrend. The data backs him up completely. Data centers will consume 70% of all memory chips produced globally in 2026. Advanced HBM production from Samsung, SK Hynix, and Micron is sold out through 2026 and into 2027 and a single AI server consumes 10-20x more memory than a conventional workload server. DRAM supply growth is running at just 16% annually while AI infrastructure demand is growing at 80%+. The chip crunch, the power crunch, and the compute crunch are not temporary dislocations, they are structural, and they will get worse before they get better. Fink also said something the bears keep getting wrong: "There is not an AI bubble. There is the opposite. We have supply shortages. Demand is growing much faster than anyone has ever anticipated." This is why the Milk Road Pro portfolio is built the way it is, long the companies producing and supplying the constrained resources: chips, memory, compute infrastructure, and power. Check out Milk Road Pro, link below to access our full thesis and plays.

Milk Road AI

419,755 views • 4 months ago