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AI compute might be turning into a whole new asset class! Cern Basher makes an interesting point: the AI buildout is getting way too expensive for tech companies to fund everything themselves. That’s where Wall Street comes in. Pension funds, insurers and big investment firms could finance the AI...

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Herbert Ong

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11,805 просмотров • 1 месяц назад •via X (Twitter)

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Ever wonder how Elon could actually fund something as massive as the $119B Terafab? Cern Basher thinks Jensen Huang may have just given us a clue! NVIDIA is working with Apollo, BlackRock, Blackstone, Goldman and KKR to bring $500B+ of outside capital into AI infrastructure. The idea is pretty simple: investors fund the AI factories, companies rent the compute, and the hardware pays for itself through revenue. Basically, AI compute could start getting financed the way airplanes and power plants are. If that model works, Elon may not need Tesla or SpaceX to write the entire Terafab check themselves. That changes the math quite a bit. $TSLA $SPCX $NVDA
3:59

Ever wonder how Elon could actually fund something as massive as the $119B Terafab? Cern Basher thinks Jensen Huang may have just given us a clue! NVIDIA is working with Apollo, BlackRock, Blackstone, Goldman and KKR to bring $500B+ of outside capital into AI infrastructure. The idea is pretty simple: investors fund the AI factories, companies rent the compute, and the hardware pays for itself through revenue. Basically, AI compute could start getting financed the way airplanes and power plants are. If that model works, Elon may not need Tesla or SpaceX to write the entire Terafab check themselves. That changes the math quite a bit. $TSLA $SPCX $NVDA

Herbert Ong

49,754 просмотров • 1 месяц назад

What if the biggest story for Tesla and SpaceX isn't Robotaxi anymore? Brian Wang nextbigfuture argues it could be AI! Tesla is growing FSD, Cybercab, Optimus, and its energy business, while SpaceX is quickly building an AI compute business with reported deals involving Anthropic, Google, and Reflection AI. If AI revenue grows faster than Robotaxi revenue, it could change how investors value both companies, and even affect how a future Tesla-SpaceX deal might be viewed! The question may no longer be who wins the Robotaxi race. It may be who builds the biggest AI business. 🔥 $TSLA $SPCX
1:14

What if the biggest story for Tesla and SpaceX isn't Robotaxi anymore? Brian Wang nextbigfuture argues it could be AI! Tesla is growing FSD, Cybercab, Optimus, and its energy business, while SpaceX is quickly building an AI compute business with reported deals involving Anthropic, Google, and Reflection AI. If AI revenue grows faster than Robotaxi revenue, it could change how investors value both companies, and even affect how a future Tesla-SpaceX deal might be viewed! The question may no longer be who wins the Robotaxi race. It may be who builds the biggest AI business. 🔥 $TSLA $SPCX

Herbert Ong

79,637 просмотров • 3 месяцев назад

The Tesla-SpaceX merger discussion isn't going away. CyberBull$ pointed to potential synergies in AI, GPUs, Terafab, energy, and compute as reasons some investors think the two companies could eventually come closer together. What's interesting is that neither Elon Musk nor Gwynne Shotwell has directly ruled out the possibility, which continues to fuel speculation. That said: this isn't about saying a merger should happen. Any deal would depend on valuation, terms, and whether it creates value for shareholders. The real takeaway is simpler: Tesla and SpaceX are already becoming more connected through AI, compute, and infrastructure. Whether they merge or not, the overlap between the two companies keeps growing. $TSLA $SPCX ----------------- Cyberbulls E196 🐂 The Bulls: Jeff Lutz Jeff Lutz 🔋 Cern Basher Cern Basher Larry Goldberg Larry Goldberg
4:46

The Tesla-SpaceX merger discussion isn't going away. CyberBull$ pointed to potential synergies in AI, GPUs, Terafab, energy, and compute as reasons some investors think the two companies could eventually come closer together. What's interesting is that neither Elon Musk nor Gwynne Shotwell has directly ruled out the possibility, which continues to fuel speculation. That said: this isn't about saying a merger should happen. Any deal would depend on valuation, terms, and whether it creates value for shareholders. The real takeaway is simpler: Tesla and SpaceX are already becoming more connected through AI, compute, and infrastructure. Whether they merge or not, the overlap between the two companies keeps growing. $TSLA $SPCX ----------------- Cyberbulls E196 🐂 The Bulls: Jeff Lutz Jeff Lutz 🔋 Cern Basher Cern Basher Larry Goldberg Larry Goldberg

Herbert Ong

18,719 просмотров • 3 месяцев назад

“It’s about $1 million a megawatt all-in, between infrastructure and compute, to build a Bitcoin mining site. The AI site, just the infrastructure without compute, is $10 to $15 million a megawatt.” $MARA CEO Fred Thiel points out the math of Bitcoin miners pivoting to AI: An AI data center costs 10-15x more per megawatt to build than a Bitcoin mine but it earns far more per unit of power. And because the tenants are companies like Google, banks will actually finance it. The pricier build is the easier one to fund. Don’t miss the full interview streaming now.
5:46

“It’s about $1 million a megawatt all-in, between infrastructure and compute, to build a Bitcoin mining site. The AI site, just the infrastructure without compute, is $10 to $15 million a megawatt.” $MARA CEO Fred Thiel points out the math of Bitcoin miners pivoting to AI: An AI data center costs 10-15x more per megawatt to build than a Bitcoin mine but it earns far more per unit of power. And because the tenants are companies like Google, banks will actually finance it. The pricier build is the easier one to fund. Don’t miss the full interview streaming now.

Natalie Brunell ⚡️

45,375 просмотров • 2 месяцев назад

In AI, the bottleneck isn't talent or models anymore. It's compute. Jo Bhakdi points to a claim that Anthropic and OpenAI could slow down sharply if they can't secure enough compute next year. Elon's reply is that SpaceX becoming the most valuable AI company is "one of the possible outcomes" if it reaches 10 gigawatts. On the ground, a gigawatt of AI compute costs $40 to $50 billion today. So 10 GW would be $400 to $500 billion of data centers. Elon says orbital compute gets much cheaper by 2028. The bigger play is SpaceX selling that compute, on the ground and in orbit, instead of keeping it all. Demand isn't slowing either. Nvidia is reportedly planning a big testing framework for AI agents, and Anthropic's IPO filing spends a lot of pages on agent risk. Testing all of that takes even more compute. $SPCX $TSLA
5:10

In AI, the bottleneck isn't talent or models anymore. It's compute. Jo Bhakdi points to a claim that Anthropic and OpenAI could slow down sharply if they can't secure enough compute next year. Elon's reply is that SpaceX becoming the most valuable AI company is "one of the possible outcomes" if it reaches 10 gigawatts. On the ground, a gigawatt of AI compute costs $40 to $50 billion today. So 10 GW would be $400 to $500 billion of data centers. Elon says orbital compute gets much cheaper by 2028. The bigger play is SpaceX selling that compute, on the ground and in orbit, instead of keeping it all. Demand isn't slowing either. Nvidia is reportedly planning a big testing framework for AI agents, and Anthropic's IPO filing spends a lot of pages on agent risk. Testing all of that takes even more compute. $SPCX $TSLA

Herbert Ong

10,861 просмотров • 3 дней назад

Meet $BUILDOUT, the Reserve AI Infrastructure DTF. Underneath every AI model is a massive physical stack. Compute and memory to process tokens. Foundries and equipment to produce the chips. Networking to connect them. Power and thermal infrastructure to keep it all running. We may not know which model will come out on top, but they all depend on the same underlying hardware. BUILDOUT brings 25 US-listed companies building that infrastructure into a single DTF, onchain. Watch the explainer ↓
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Meet $BUILDOUT, the Reserve AI Infrastructure DTF. Underneath every AI model is a massive physical stack. Compute and memory to process tokens. Foundries and equipment to produce the chips. Networking to connect them. Power and thermal infrastructure to keep it all running. We may not know which model will come out on top, but they all depend on the same underlying hardware. BUILDOUT brings 25 US-listed companies building that infrastructure into a single DTF, onchain. Watch the explainer ↓

Reserve 🌐

11,939 просмотров • 23 дней назад

🚨 SpaceX is partnering with Anthropic to boost Claude’s compute power Anthropic will reportedly use SpaceX’s 300MW Colossus-1 data center, helping Claude raise API limits, reduce throttling, and improve performance. The interesting part? Elon Musk is helping a major OpenAI competitor while xAI shifts training to Colossus-2. This looks less like a compute shortage, and more like SpaceX turning AI infrastructure into a business. ------------ CyberBulls E190 The Bulls: Jeff Lutz Jeff Lutz 🔋 Cern Basher Cern Basher Phil Beisel phil beisel $TSLA
12:30

🚨 SpaceX is partnering with Anthropic to boost Claude’s compute power Anthropic will reportedly use SpaceX’s 300MW Colossus-1 data center, helping Claude raise API limits, reduce throttling, and improve performance. The interesting part? Elon Musk is helping a major OpenAI competitor while xAI shifts training to Colossus-2. This looks less like a compute shortage, and more like SpaceX turning AI infrastructure into a business. ------------ CyberBulls E190 The Bulls: Jeff Lutz Jeff Lutz 🔋 Cern Basher Cern Basher Phil Beisel phil beisel $TSLA

Herbert Ong

27,812 просмотров • 4 месяцев назад

Is compute scarcity masking the real economics of AI? interesting point from Peter Fenton: open-weight models are still complex to run well. For now, the big labs have the bundle: model + compute + reliability + access... and thus pricing power. But if compute supply loosens and open model tooling gets easier, routine AI work can more easily move to cheaper/open models.
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Is compute scarcity masking the real economics of AI? interesting point from Peter Fenton: open-weight models are still complex to run well. For now, the big labs have the bundle: model + compute + reliability + access... and thus pricing power. But if compute supply loosens and open model tooling gets easier, routine AI work can more easily move to cheaper/open models.

Deirdre Bosa

50,558 просмотров • 2 месяцев назад

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
1:23

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 просмотров • 2 месяцев назад

BREAKING: Elon Musk says Google and Anthropic are leasing AI compute from SpaceX amid a growing power shortage, adding that SpaceX has brought AI compute online better than anyone else so far. “Even before next year, there are challenges with power, which is why Google, Anthropic and many other companies are leasing compute from SpaceX. We’ve been able to bring AI compute online better than anyone else so far. Constructing our own power plants is the only way we were able to do it”
1:29

BREAKING: Elon Musk says Google and Anthropic are leasing AI compute from SpaceX amid a growing power shortage, adding that SpaceX has brought AI compute online better than anyone else so far. “Even before next year, there are challenges with power, which is why Google, Anthropic and many other companies are leasing compute from SpaceX. We’ve been able to bring AI compute online better than anyone else so far. Constructing our own power plants is the only way we were able to do it”

DogeDesigner

6,251,028 просмотров • 1 месяц назад

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
2:24

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

KanekoaTheGreat

39,709 просмотров • 3 месяцев назад

🚨 Elon Musk's reported Terafab project could be bigger than most people realize. 👀 Jo Bhakdi says the planned Tesla-SpaceX facility could reach 100 million square feet, about 10 times larger than Giga Texas, with a goal of producing around 1 terawatt of AI chips per year. He also highlighted Elon’s vision for AI in space, with plans to rapidly increase compute power in orbit over the next few years. If these plans become reality, SpaceX and Tesla may not just be building products. They could be building the infrastructure that powers the future of AI. $TSLA $SPCX
6:33

🚨 Elon Musk's reported Terafab project could be bigger than most people realize. 👀 Jo Bhakdi says the planned Tesla-SpaceX facility could reach 100 million square feet, about 10 times larger than Giga Texas, with a goal of producing around 1 terawatt of AI chips per year. He also highlighted Elon’s vision for AI in space, with plans to rapidly increase compute power in orbit over the next few years. If these plans become reality, SpaceX and Tesla may not just be building products. They could be building the infrastructure that powers the future of AI. $TSLA $SPCX

Herbert Ong

23,227 просмотров • 3 месяцев назад

Citadel CEO shares a secret with Stanford - how his fund uses AI to control $69B in capital 42-min AI masterclass from the founder of one of the world’s top investment funds Bookmark & watch it - it’s the best interview on the use of AI in finance. Then listen how Ken Griffin borrowed $265k and turned it into $90B
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Citadel CEO shares a secret with Stanford - how his fund uses AI to control $69B in capital 42-min AI masterclass from the founder of one of the world’s top investment funds Bookmark & watch it - it’s the best interview on the use of AI in finance. Then listen how Ken Griffin borrowed $265k and turned it into $90B

bodila

294,997 просмотров • 5 месяцев назад

AI IS ABOUT TO RESET THE WORLD’S INDUSTRIES 🤯 NVIDIA CEO Jensen Huang says we’re entering the largest industrial buildout in human history driven by AI. Entire sectors are being rebuilt around AI infrastructure: 🤖 AI factories and chip plants 🤖 Robotics across $50T manufacturing 🤖 AI-powered telecom networks 🤖 Agentic retail and customer service 🤖 Real-time AI in media, gaming, and live video 🤖 Quantum + GPU hybrid systems Even telecom towers -- the backbone of the internet -- could soon become AI compute platforms at the edge. The message from NVIDIA’s GTC stage was clear: The next wave of AI isn’t just software -- it’s a global infrastructure buildout.
2:11

AI IS ABOUT TO RESET THE WORLD’S INDUSTRIES 🤯 NVIDIA CEO Jensen Huang says we’re entering the largest industrial buildout in human history driven by AI. Entire sectors are being rebuilt around AI infrastructure: 🤖 AI factories and chip plants 🤖 Robotics across $50T manufacturing 🤖 AI-powered telecom networks 🤖 Agentic retail and customer service 🤖 Real-time AI in media, gaming, and live video 🤖 Quantum + GPU hybrid systems Even telecom towers -- the backbone of the internet -- could soon become AI compute platforms at the edge. The message from NVIDIA’s GTC stage was clear: The next wave of AI isn’t just software -- it’s a global infrastructure buildout.

CryptosRus

28,976 просмотров • 6 месяцев назад

🚨 Google and Anthropic are reportedly paying SpaceX more than $2.1 billion per month for AI compute capacity That's a revenue run rate of roughly $26 billion per year! Jeff Lutz 🔋 says the bigger story isn't the money. It's that some of the world's leading AI companies are choosing SpaceX to power their AI ambitions. A few years ago, SpaceX was known for rockets. Today, it may be becoming one of the most important AI infrastructure companies in the world. 🚀 $SPCX
15:32

🚨 Google and Anthropic are reportedly paying SpaceX more than $2.1 billion per month for AI compute capacity That's a revenue run rate of roughly $26 billion per year! Jeff Lutz 🔋 says the bigger story isn't the money. It's that some of the world's leading AI companies are choosing SpaceX to power their AI ambitions. A few years ago, SpaceX was known for rockets. Today, it may be becoming one of the most important AI infrastructure companies in the world. 🚀 $SPCX

Herbert Ong

33,815 просмотров • 3 месяцев назад

🚀 Elon Musk has confirmed STARMIND as the name of SpaceX's future AI satellite network. FutureAzA says this is just one piece of a much bigger strategy. SpaceX is rapidly building an AI compute business, with reported customers including Google, Anthropic, and Reflection AI. The Reflection agreement alone is reportedly worth up to $6.3 billion through 2029. At the same time, Tesla continues expanding its energy business with a 25 GWh storage agreement through NatPower and a new partnership with Sunrun and Renew Home to help power AI infrastructure. AI, energy, compute, and space are starting to come together into one ecosystem. The more you zoom out, the more connected Tesla and SpaceX begin to look. $TSLA $SPCX
1:20

🚀 Elon Musk has confirmed STARMIND as the name of SpaceX's future AI satellite network. FutureAzA says this is just one piece of a much bigger strategy. SpaceX is rapidly building an AI compute business, with reported customers including Google, Anthropic, and Reflection AI. The Reflection agreement alone is reportedly worth up to $6.3 billion through 2029. At the same time, Tesla continues expanding its energy business with a 25 GWh storage agreement through NatPower and a new partnership with Sunrun and Renew Home to help power AI infrastructure. AI, energy, compute, and space are starting to come together into one ecosystem. The more you zoom out, the more connected Tesla and SpaceX begin to look. $TSLA $SPCX

Herbert Ong

15,070 просмотров • 3 месяцев назад

🚨 AI + Tesla Optimus is about to rewrite the global economy. In our latest episode with Cern Basher, we break down why Tesla’s humanoid robots + robotaxis could drive double-digit GDP growth… and why this could ignite a Bitcoin supercycle. Key takeaways: - $TSLA Optimus ramp: 1M → 10M robots/year - One robot factory could generate output comparable to the GDP of an entire country - Robotaxis scaling could happen MUCH faster than Wall Street expects - AI agents will flood cyberspace… and Bitcoin may become the security gate - “AI consumes compute. Bitcoin prices compute.” - Strategy’s flywheel $MSTR + $STRC could be setting up the next massive phase This episode connects the dots between AI deflation, government printing, and why $BTC may become the backbone of the AI economy. 00:00 Introduction Cern Basher 02:11 AI Agents Pick Bitcoin (It’s Already Happening) 03:01 Elon’s Master Plan: xAI + SpaceX + Tesla Merger? 06:34 Why Bitcoin Might Be the BEST AI Investment 10:43 “AI Consumes Compute… Bitcoin Prices Compute” 13:46 MSTR / Strategy: Why Bitcoin Treasury Companies Win 19:16 Strategy’s New Flywheel: STRC + ATM Explained 25:04 Elon Predicts Double-Digit GDP Growth (Is He Right?) 34:55 Tesla Optimus Timeline: 1M → 10M Robots Per Year 40:16 Tesla Robotaxis Are Scaling FAST (Doubling Every Month?) 43:11 Why Robotaxi Delays Don’t Matter (Tesla Still Wins) 46:46 When Will Tesla Start Buying Bitcoin Again? 50:05 Nvidia + Bitcoin? Big Tech May Flip Soon 53:18 Why Most People STILL Don’t Understand Bitcoin 56:00 US Military Studying Bitcoin for Cybersecurity? 59:27 Final Warning: Every Country Must Build Robot Factories
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🚨 AI + Tesla Optimus is about to rewrite the global economy. In our latest episode with Cern Basher, we break down why Tesla’s humanoid robots + robotaxis could drive double-digit GDP growth… and why this could ignite a Bitcoin supercycle. Key takeaways: - $TSLA Optimus ramp: 1M → 10M robots/year - One robot factory could generate output comparable to the GDP of an entire country - Robotaxis scaling could happen MUCH faster than Wall Street expects - AI agents will flood cyberspace… and Bitcoin may become the security gate - “AI consumes compute. Bitcoin prices compute.” - Strategy’s flywheel $MSTR + $STRC could be setting up the next massive phase This episode connects the dots between AI deflation, government printing, and why $BTC may become the backbone of the AI economy. 00:00 Introduction Cern Basher 02:11 AI Agents Pick Bitcoin (It’s Already Happening) 03:01 Elon’s Master Plan: xAI + SpaceX + Tesla Merger? 06:34 Why Bitcoin Might Be the BEST AI Investment 10:43 “AI Consumes Compute… Bitcoin Prices Compute” 13:46 MSTR / Strategy: Why Bitcoin Treasury Companies Win 19:16 Strategy’s New Flywheel: STRC + ATM Explained 25:04 Elon Predicts Double-Digit GDP Growth (Is He Right?) 34:55 Tesla Optimus Timeline: 1M → 10M Robots Per Year 40:16 Tesla Robotaxis Are Scaling FAST (Doubling Every Month?) 43:11 Why Robotaxi Delays Don’t Matter (Tesla Still Wins) 46:46 When Will Tesla Start Buying Bitcoin Again? 50:05 Nvidia + Bitcoin? Big Tech May Flip Soon 53:18 Why Most People STILL Don’t Understand Bitcoin 56:00 US Military Studying Bitcoin for Cybersecurity? 59:27 Final Warning: Every Country Must Build Robot Factories

One Chair

17,947 просмотров • 7 месяцев назад

Architect is now pre-onboarding individuals and institutions to trade US-listed compute futures on the American Innovation Exchange, launching imminently. Open an account on our website or app, trade the first-ever US GPU futures and options, join our liquidity programs: American Innovation Exchange futures are purpose-built for the US AI ecosystem: • Compute consumers (AI labs, model developers, hyperscalers) can hedge forward GPU pricing and reduce earnings volatility. • Compute producers and neocloud operators can hedge inventory, generate yield through covered strategies, and better finance expansion. • Asset managers, hedge funds, and proprietary trading firms gain efficient, regulated long/short exposure to compute as a distinct asset class. • The broader market benefits from transparent price discovery, a visible forward curve for deprecation, and supply/demand forecasting, and reduced basis risk through collaboration with index providers. Trading will be supported across desktop, mobile, and API, with order book and block trading capabilities. The launch of Architect’s compute futures marks a significant step in developing mature US financial markets for AI infrastructure and supporting the critical buildout of American compute capacity. We look forward to offering a seamless trading experience with low fee and favorable margin treatment to individuals and firms across AI and finance.
0:22

Architect is now pre-onboarding individuals and institutions to trade US-listed compute futures on the American Innovation Exchange, launching imminently. Open an account on our website or app, trade the first-ever US GPU futures and options, join our liquidity programs: American Innovation Exchange futures are purpose-built for the US AI ecosystem: • Compute consumers (AI labs, model developers, hyperscalers) can hedge forward GPU pricing and reduce earnings volatility. • Compute producers and neocloud operators can hedge inventory, generate yield through covered strategies, and better finance expansion. • Asset managers, hedge funds, and proprietary trading firms gain efficient, regulated long/short exposure to compute as a distinct asset class. • The broader market benefits from transparent price discovery, a visible forward curve for deprecation, and supply/demand forecasting, and reduced basis risk through collaboration with index providers. Trading will be supported across desktop, mobile, and API, with order book and block trading capabilities. The launch of Architect’s compute futures marks a significant step in developing mature US financial markets for AI infrastructure and supporting the critical buildout of American compute capacity. We look forward to offering a seamless trading experience with low fee and favorable margin treatment to individuals and firms across AI and finance.

Brett Harrison

10,259 просмотров • 2 месяцев назад

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.
3:31

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.

Karl Mehta

16,619 просмотров • 3 месяцев назад

Elon Musk explains how data centers in Space could help the US compete with China in AI “Given that Chinese AI companies are doing as well as they are with a relatively small amount of compute, it seems that if they had a lot of compute, there’s a good chance they would be the leaders. The constraints on AI are essentially electricity and AI chips. China is very strong in digital AI, and it has far more electricity than the United States. In fact, China already has more electricity than the United States, Europe and India combined. The US government can prevent US companies from using Chinese models, but it can’t stop the rest of the world from using them. That won’t stop China from becoming the leader in AI. Digital intelligence comes down to how much AI compute, how many chips and how much electricity you have. The current constraint is electricity outside China. In China, the constraint is chips. China is also closer than most people realize to solving the lithography problem, which would enable it to make AI chips in very large volumes. Once we address the power constraint with AI data centers in space, the constraint will once again be chips outside China.”
4:51

Elon Musk explains how data centers in Space could help the US compete with China in AI “Given that Chinese AI companies are doing as well as they are with a relatively small amount of compute, it seems that if they had a lot of compute, there’s a good chance they would be the leaders. The constraints on AI are essentially electricity and AI chips. China is very strong in digital AI, and it has far more electricity than the United States. In fact, China already has more electricity than the United States, Europe and India combined. The US government can prevent US companies from using Chinese models, but it can’t stop the rest of the world from using them. That won’t stop China from becoming the leader in AI. Digital intelligence comes down to how much AI compute, how many chips and how much electricity you have. The current constraint is electricity outside China. In China, the constraint is chips. China is also closer than most people realize to solving the lithography problem, which would enable it to make AI chips in very large volumes. Once we address the power constraint with AI data centers in space, the constraint will once again be chips outside China.”

DogeDesigner

246,547 просмотров • 2 месяцев назад