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🚨 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... show more

Herbert Ong

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27,751 次观看 • 2 个月前 •via X (Twitter)

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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

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 次观看 • 28 天前

Elon Musk just exercised 304 million $TSLA stock options, worth about $118 billion, and didn't sell a single share. CyberBull$ says the move boosts his voting power and brings his Tesla ownership close to 20%. Naturally, it's also fueling more Tesla-SpaceX merger speculation. Maybe it's nothing. Maybe it's preparation for something bigger down the road. Either way, when someone makes a $118 billion move and chooses not to cash out, it's probably worth paying attention to. $SPCX ----------------- Cyberbulls E196 🐂 The Bulls: Jeff Lutz Jeff Lutz 🔋 Cern Basher Cern Basher Larry Goldberg Larry Goldberg

Elon Musk just exercised 304 million $TSLA stock options, worth about $118 billion, and didn't sell a single share. CyberBull$ says the move boosts his voting power and brings his Tesla ownership close to 20%. Naturally, it's also fueling more Tesla-SpaceX merger speculation. Maybe it's nothing. Maybe it's preparation for something bigger down the road. Either way, when someone makes a $118 billion move and chooses not to cash out, it's probably worth paying attention to. $SPCX ----------------- Cyberbulls E196 🐂 The Bulls: Jeff Lutz Jeff Lutz 🔋 Cern Basher Cern Basher Larry Goldberg Larry Goldberg

Herbert Ong

176,132 次观看 • 29 天前

🚨 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

🚨 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

33,728 次观看 • 1 个月前

🚨 Tesla’s Robotaxi story keeps picking up speed! The first production Cybercab with no steering wheel or pedals is now testing in Austin, and Tesla has increased its registered Texas Robotaxi fleet to 102 Model Ys. FSD v14 Lite is also rolling out to early HW3 users, with strong early feedback despite AI3 having much less compute than AI4. On top of that, Lars Moravy has teased some “cool news” coming from Giga Texas. The rollout may not be happening as fast as many hoped, but the signs of scaling keep adding up. $TSLA ————————- Cyberbulls E198 The Bulls 🐂 Alexandra AleXandra Merz 🇺🇲 Jeff Jeff Lutz 🔋 Cern Cern Basher

🚨 Tesla’s Robotaxi story keeps picking up speed! The first production Cybercab with no steering wheel or pedals is now testing in Austin, and Tesla has increased its registered Texas Robotaxi fleet to 102 Model Ys. FSD v14 Lite is also rolling out to early HW3 users, with strong early feedback despite AI3 having much less compute than AI4. On top of that, Lars Moravy has teased some “cool news” coming from Giga Texas. The rollout may not be happening as fast as many hoped, but the signs of scaling keep adding up. $TSLA ————————- Cyberbulls E198 The Bulls 🐂 Alexandra AleXandra Merz 🇺🇲 Jeff Jeff Lutz 🔋 Cern Cern Basher

Herbert Ong

31,222 次观看 • 13 天前

🚨 Ron Baron says don’t assume Tesla and SpaceX will merge 👀 Jeff Lutz 🔋 says Baron believes there are good and bad reasons to combine the companies, but nobody really knows what Elon Musk will do. Baron also thinks SpaceX could someday be worth $10T–$30T+, while Starlink alone could become a $14T–$15T business through global internet and AI infrastructure. He reportedly plans to buy $1B of SpaceX shares during the IPO. 🚀 $SPCX $TSLA

🚨 Ron Baron says don’t assume Tesla and SpaceX will merge 👀 Jeff Lutz 🔋 says Baron believes there are good and bad reasons to combine the companies, but nobody really knows what Elon Musk will do. Baron also thinks SpaceX could someday be worth $10T–$30T+, while Starlink alone could become a $14T–$15T business through global internet and AI infrastructure. He reportedly plans to buy $1B of SpaceX shares during the IPO. 🚀 $SPCX $TSLA

Herbert Ong

40,256 次观看 • 2 个月前

🚀 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

🚀 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

15,014 次观看 • 22 天前

'xAI's Plans to Crush OpenAI, Meta, and Google in the AI Race' Wars are won with logistics. In this video, I'll walk you through why xAI is an absolute powerhouse in the AI world, and why it will not only maintain that lead, but increase it. It all comes down to the bitter lesson: More compute and data = better AI. And when it comes to rapidly deploying resources at massive scale, Elon Musk is a singular human being, plowing through limiting factors at ubelievable speed. YT version linked below. *Timestamps* 00:00 Introduction 02:18 The Birth of xAI 05:07 Colossus 1 - The Compute Explosion 08:20 Feeding the Beast 14:40 What about the competition? 15:49 Colossus 2 // Building Details 19:36 Colossus 2 // Timeline 25:26 Colossus 2 // Gigawatt Scale Power Demand 29:08 Summary

'xAI's Plans to Crush OpenAI, Meta, and Google in the AI Race' Wars are won with logistics. In this video, I'll walk you through why xAI is an absolute powerhouse in the AI world, and why it will not only maintain that lead, but increase it. It all comes down to the bitter lesson: More compute and data = better AI. And when it comes to rapidly deploying resources at massive scale, Elon Musk is a singular human being, plowing through limiting factors at ubelievable speed. YT version linked below. Timestamps 00:00 Introduction 02:18 The Birth of xAI 05:07 Colossus 1 - The Compute Explosion 08:20 Feeding the Beast 14:40 What about the competition? 15:49 Colossus 2 // Building Details 19:36 Colossus 2 // Timeline 25:26 Colossus 2 // Gigawatt Scale Power Demand 29:08 Summary

The Limiting Factor

74,321 次观看 • 11 个月前

This is WILD! One week before SpaceX's historic IPO, Google signed a deal to pay SpaceX $920 million per month from October 2026 through June 2029 for access to 110,000 Nvidia GPUs, CPUs, and related infrastructure (Save this). That is $11 billion per year and up to $30 billion over the life of the contract. This comes less than a month after Anthropic committed $1.25 billion per month for full access to the Colossus 1 data center in Memphis, 200,000+ GPUs, 300+ megawatts of power capacity, through 2029. Two of the most consequential AI labs in the world combined committed value over $70 billion. The question that haunted SpaceX's IPO roadshow was why did Elon keep spending billions constructing Colossus, Macro Hard and Macro Harder, three facilities totaling nearly 2 gigawatts of AI compute when xAI's revenue wasn't yet on the same trajectory as OpenAI or Anthropic? Wall Street was pricing in a risk that Elon was building capacity ahead of revenue which would mean sustained cash burn without a clear payback timeline. That concern was legitimate on its face, because xAI had been aggressive on model development but had not yet demonstrated the enterprise revenue numbers to justify the infrastructure cost. The answer is that the compute itself was always the product. Amazon has AWS, Microsoft has Azure, Google has Google Cloud, Elon just confirmed that he has been quietly building the fourth major hyperscale AI cloud and his first two paying customers are Google and Anthropic, the very companies most aggressively competing in the AI race. xAI's Colossus facility in Memphis was built at a speed that no traditional data center developer could match, it went from groundbreaking to operational in roughly 122 days. That is what happens when you have direct Nvidia relationships, a construction operation built around SpaceX-style execution, and a founder who treats infrastructure buildout the same way he treats rocket launches: compress every timeline and eliminate every bottleneck. The result is that SpaceX now has three operational facilities, Colossus, Macro Hard, and Macro Harder with Macro Hard and Macro Harder in Blackwell architecture running 1.2 gigawatts combined. Colossus 1, built on H100s and optimized for inference, is the facility that went to Anthropic first. The Blackwell-era facilities are where the next-generation training workloads happen and Google's deal suggests they are renting into that capacity as it comes online through the second half of 2026. Elon's compute leasing business would generate approximately $45 billion in incremental annual revenue on top of the mid-$20 billion range analysts had been modeling for SpaceX more than enough to fully subsidize the infrastructure investment and take the financial pressure off xAI delivering immediate AI product revenue. That changes the entire valuation conversation of SpaceX completely! Milk road remains bullish on Space and come join Milk Road Pro and get our full SpaceX IPO breakdown, how we're thinking about the $1.75 trillion valuation and our entire AI thesis. Link below!

This is WILD! One week before SpaceX's historic IPO, Google signed a deal to pay SpaceX $920 million per month from October 2026 through June 2029 for access to 110,000 Nvidia GPUs, CPUs, and related infrastructure (Save this). That is $11 billion per year and up to $30 billion over the life of the contract. This comes less than a month after Anthropic committed $1.25 billion per month for full access to the Colossus 1 data center in Memphis, 200,000+ GPUs, 300+ megawatts of power capacity, through 2029. Two of the most consequential AI labs in the world combined committed value over $70 billion. The question that haunted SpaceX's IPO roadshow was why did Elon keep spending billions constructing Colossus, Macro Hard and Macro Harder, three facilities totaling nearly 2 gigawatts of AI compute when xAI's revenue wasn't yet on the same trajectory as OpenAI or Anthropic? Wall Street was pricing in a risk that Elon was building capacity ahead of revenue which would mean sustained cash burn without a clear payback timeline. That concern was legitimate on its face, because xAI had been aggressive on model development but had not yet demonstrated the enterprise revenue numbers to justify the infrastructure cost. The answer is that the compute itself was always the product. Amazon has AWS, Microsoft has Azure, Google has Google Cloud, Elon just confirmed that he has been quietly building the fourth major hyperscale AI cloud and his first two paying customers are Google and Anthropic, the very companies most aggressively competing in the AI race. xAI's Colossus facility in Memphis was built at a speed that no traditional data center developer could match, it went from groundbreaking to operational in roughly 122 days. That is what happens when you have direct Nvidia relationships, a construction operation built around SpaceX-style execution, and a founder who treats infrastructure buildout the same way he treats rocket launches: compress every timeline and eliminate every bottleneck. The result is that SpaceX now has three operational facilities, Colossus, Macro Hard, and Macro Harder with Macro Hard and Macro Harder in Blackwell architecture running 1.2 gigawatts combined. Colossus 1, built on H100s and optimized for inference, is the facility that went to Anthropic first. The Blackwell-era facilities are where the next-generation training workloads happen and Google's deal suggests they are renting into that capacity as it comes online through the second half of 2026. Elon's compute leasing business would generate approximately $45 billion in incremental annual revenue on top of the mid-$20 billion range analysts had been modeling for SpaceX more than enough to fully subsidize the infrastructure investment and take the financial pressure off xAI delivering immediate AI product revenue. That changes the entire valuation conversation of SpaceX completely! Milk road remains bullish on Space and come join Milk Road Pro and get our full SpaceX IPO breakdown, how we're thinking about the $1.75 trillion valuation and our entire AI thesis. Link below!

Milk Road AI

761,033 次观看 • 1 个月前

Elon Musk just made one if the biggest moves in taking over the programming industry “SpaceX just bought Cursor for $60 billion. Do you realize how big this is? SpaceX went public — the biggest IPO in history. $75 billion raised, almost a $2 trillion valuation and the first thing to do with that money? Buy the most popular AI coding tool on the planet. Here's why that changes everything. Elon now owns 3 layers: the compute, Colossus data centers, the models, Grok through xAI, and now the tool that developers actually use every day. It's the full stack. And here's what makes Cursor different from Claude Code or Codex. Cursor is model agnostic. You can run Claude in it, GPT, Gemini, whatever model you want. It's not locked to any one company, and now it has SpaceX's resources behind it. Cursor said they were bottlenecked by compute. Well, that bottleneck has just been removed. $4 billion in annual revenue, over half the Fortune 500 already uses it, and now it's backed by a $2 trillion company. OpenAI has Codex, Anthropic has Claude Code, and now Elon has Cursor.” Let me break this down in simple terms Elon Musk now controls more of the full AI picture: - Massive computers, power (data centers like Colossus) - Smart AI models (Grok from xAI) - The actual tool millions of developers use every day (Cursor) For every day users this means Faster and smarter apps and websites in the future. More developers using powerful AI tools means new apps, games, websites, and features get built quicker and cheaper. This means better video games, smoother streaming, smarter phone apps and better programs For Developers they can describe what they want in plain English (“make a feature that does X”) and the AI handles more of the heavy lifting

Elon Musk just made one if the biggest moves in taking over the programming industry “SpaceX just bought Cursor for $60 billion. Do you realize how big this is? SpaceX went public — the biggest IPO in history. $75 billion raised, almost a $2 trillion valuation and the first thing to do with that money? Buy the most popular AI coding tool on the planet. Here's why that changes everything. Elon now owns 3 layers: the compute, Colossus data centers, the models, Grok through xAI, and now the tool that developers actually use every day. It's the full stack. And here's what makes Cursor different from Claude Code or Codex. Cursor is model agnostic. You can run Claude in it, GPT, Gemini, whatever model you want. It's not locked to any one company, and now it has SpaceX's resources behind it. Cursor said they were bottlenecked by compute. Well, that bottleneck has just been removed. $4 billion in annual revenue, over half the Fortune 500 already uses it, and now it's backed by a $2 trillion company. OpenAI has Codex, Anthropic has Claude Code, and now Elon has Cursor.” Let me break this down in simple terms Elon Musk now controls more of the full AI picture: - Massive computers, power (data centers like Colossus) - Smart AI models (Grok from xAI) - The actual tool millions of developers use every day (Cursor) For every day users this means Faster and smarter apps and websites in the future. More developers using powerful AI tools means new apps, games, websites, and features get built quicker and cheaper. This means better video games, smoother streaming, smarter phone apps and better programs For Developers they can describe what they want in plain English (“make a feature that does X”) and the AI handles more of the heavy lifting

Wall Street Apes

212,830 次观看 • 28 天前

With companies like SpaceX, Anthropic, and OpenAI potentially heading toward IPOs, investors are already debating which one will be the biggest winner. My view is that trying to pick a single champion is a mistake. SpaceX gives you exposure to Elon Musk and the success of Starlink, which is already a highly profitable business. Anthropic has impressed me personally after rolling out Claude across my organization, it quickly became a tool I use every day. And OpenAI remains one of the most important players in the space. The reality is nobody knows how this race will play out once these companies are public. That’s why I’d rather own all of them on a diversified basis instead of trying to predict a winner. When a sector is moving this fast, the smarter bet is often on the entire trend, not a single stock.

With companies like SpaceX, Anthropic, and OpenAI potentially heading toward IPOs, investors are already debating which one will be the biggest winner. My view is that trying to pick a single champion is a mistake. SpaceX gives you exposure to Elon Musk and the success of Starlink, which is already a highly profitable business. Anthropic has impressed me personally after rolling out Claude across my organization, it quickly became a tool I use every day. And OpenAI remains one of the most important players in the space. The reality is nobody knows how this race will play out once these companies are public. That’s why I’d rather own all of them on a diversified basis instead of trying to predict a winner. When a sector is moving this fast, the smarter bet is often on the entire trend, not a single stock.

Kevin O'Leary aka Mr. Wonderful

34,397 次观看 • 1 个月前

Elon just created the most valuable private company in history. And the VISION behind this move is going to win him the AI race. Yesterday, SpaceX and xAI combined in a $1.25 TRILLION deal, But this isn’t just a merger. Elon is literally solving AI’s biggest bottleneck: AI needs INSANE amounts of electricity. Every major AI company is hitting the same wall: Power constraints. OpenAI, Google, Anthropic are all racing to build bigger data centers. But they're all stuck on Earth fighting for the same limited power grid. Elon's solution: Move the data centers to SPACE. Last Friday, SpaceX filed with the FCC to launch up to 1 MILLION satellites. Not for internet. For compute. Solar-powered AI data centers in orbit that run 24/7 with zero cooling costs and unlimited energy from the sun. Look: On Earth, you need massive power plants, cooling systems, and infrastructure that costs billions and takes years to build. But in space? You have direct solar power. No cooling needed. Near-constant sunlight. According to Elon: "Within 2-3 years, space will be the lowest-cost way to generate AI compute." The numbers behind this are crazy: SpaceX made $8 billion profit on $15 billion revenue in 2025. xAI was valued at $230 billion standalone. Combined entity: $1.25 trillion heading into what could be the biggest IPO in history. And here's why this actually makes sense: SpaceX already dominates launches. 80% of their revenue comes from launching Starlink satellites. They've perfected reusable rockets. Launch costs keep dropping. Now instead of just launching communication satellites, they're launching compute infrastructure. xAI gets unlimited scalable compute without fighting for power grid access. SpaceX gets a customer that will need constant satellite refreshes and launches for decades. The vertical integration is incredible: SpaceX builds and launches the satellites. xAI runs the AI models on them. Grok gets trained on infrastructure no competitor can access. Starlink provides the communication backbone. Nobody else can replicate this. OpenAI can't launch rockets. Google can't either. What you have to understand about the upcoming IPO: This isn't just "rocket company goes public." It's "AI infrastructure company that happens to own the launch capability" goes public. Investors get exposure to both the AI race AND space commercialization in one ticker. That's why the $1.25 trillion valuation makes sense to Wall Street. Now here's the rational take: This is extremely ambitious. Maybe too ambitious. xAI is burning $1 billion per month right now competing with OpenAI. Space-based data centers have never been done at scale. The satellite constellation would be the largest in history by 100X. Technical challenges are massive. Regulatory approval isn't guaranteed. But if it works? Elon isn't just winning the AI race. He's changing WHERE the race happens. Imagine training AI models with 10X the compute power at 1/10th the cost because you're not constrained by Earth's power grid. That's game over for competition. The timeline to watch: Mid-2026: SpaceX/xAI IPO (largest in history) Late 2026: First orbital compute satellites launch 2027-2028: Proof of concept for space-based AI training If this actually delivers, we're looking at: The first trillion-dollar private company IPO. A new category of infrastructure (orbital compute). AI development unconstrained by terrestrial power limits. If it doesn't deliver? Well, it's still SpaceX with $8B in annual profit and dominance in launch services. Plus xAI with a $230B valuation and Grok. The risk-reward here is asymmetric. Downside: You own the world's most valuable rocket company. Upside: You own the infrastructure layer for all future AI development. Do you think datacenters in space could work?

Elon just created the most valuable private company in history. And the VISION behind this move is going to win him the AI race. Yesterday, SpaceX and xAI combined in a $1.25 TRILLION deal, But this isn’t just a merger. Elon is literally solving AI’s biggest bottleneck: AI needs INSANE amounts of electricity. Every major AI company is hitting the same wall: Power constraints. OpenAI, Google, Anthropic are all racing to build bigger data centers. But they're all stuck on Earth fighting for the same limited power grid. Elon's solution: Move the data centers to SPACE. Last Friday, SpaceX filed with the FCC to launch up to 1 MILLION satellites. Not for internet. For compute. Solar-powered AI data centers in orbit that run 24/7 with zero cooling costs and unlimited energy from the sun. Look: On Earth, you need massive power plants, cooling systems, and infrastructure that costs billions and takes years to build. But in space? You have direct solar power. No cooling needed. Near-constant sunlight. According to Elon: "Within 2-3 years, space will be the lowest-cost way to generate AI compute." The numbers behind this are crazy: SpaceX made $8 billion profit on $15 billion revenue in 2025. xAI was valued at $230 billion standalone. Combined entity: $1.25 trillion heading into what could be the biggest IPO in history. And here's why this actually makes sense: SpaceX already dominates launches. 80% of their revenue comes from launching Starlink satellites. They've perfected reusable rockets. Launch costs keep dropping. Now instead of just launching communication satellites, they're launching compute infrastructure. xAI gets unlimited scalable compute without fighting for power grid access. SpaceX gets a customer that will need constant satellite refreshes and launches for decades. The vertical integration is incredible: SpaceX builds and launches the satellites. xAI runs the AI models on them. Grok gets trained on infrastructure no competitor can access. Starlink provides the communication backbone. Nobody else can replicate this. OpenAI can't launch rockets. Google can't either. What you have to understand about the upcoming IPO: This isn't just "rocket company goes public." It's "AI infrastructure company that happens to own the launch capability" goes public. Investors get exposure to both the AI race AND space commercialization in one ticker. That's why the $1.25 trillion valuation makes sense to Wall Street. Now here's the rational take: This is extremely ambitious. Maybe too ambitious. xAI is burning $1 billion per month right now competing with OpenAI. Space-based data centers have never been done at scale. The satellite constellation would be the largest in history by 100X. Technical challenges are massive. Regulatory approval isn't guaranteed. But if it works? Elon isn't just winning the AI race. He's changing WHERE the race happens. Imagine training AI models with 10X the compute power at 1/10th the cost because you're not constrained by Earth's power grid. That's game over for competition. The timeline to watch: Mid-2026: SpaceX/xAI IPO (largest in history) Late 2026: First orbital compute satellites launch 2027-2028: Proof of concept for space-based AI training If this actually delivers, we're looking at: The first trillion-dollar private company IPO. A new category of infrastructure (orbital compute). AI development unconstrained by terrestrial power limits. If it doesn't deliver? Well, it's still SpaceX with $8B in annual profit and dominance in launch services. Plus xAI with a $230B valuation and Grok. The risk-reward here is asymmetric. Downside: You own the world's most valuable rocket company. Upside: You own the infrastructure layer for all future AI development. Do you think datacenters in space could work?

Ricardo

78,777 次观看 • 5 个月前

Musk has restructured his companies into one major group. X is owned by xAI, and xAI is now fully owned by SpaceX. SpaceX has filed for its IPO and aims to go public in mid June with a valuation over 1.7 trillion dollars. Elon Musk holds roughly 42 percent equity in SpaceX but controls around 85 percent of the voting power through a dual class structure. Buying shares in SpaceX will give investors indirect ownership of X, Grok, Starlink, and the big AI infrastructure plans. This combines social media data, rockets, and advanced AI under one public company. Under this new structure, how do you think content creator pay will fare?

Musk has restructured his companies into one major group. X is owned by xAI, and xAI is now fully owned by SpaceX. SpaceX has filed for its IPO and aims to go public in mid June with a valuation over 1.7 trillion dollars. Elon Musk holds roughly 42 percent equity in SpaceX but controls around 85 percent of the voting power through a dual class structure. Buying shares in SpaceX will give investors indirect ownership of X, Grok, Starlink, and the big AI infrastructure plans. This combines social media data, rockets, and advanced AI under one public company. Under this new structure, how do you think content creator pay will fare?

SafetySwipe

24,609 次观看 • 1 个月前

The most overlooked part of the SpaceX IPO thesis is the model and most people are completely missing it (Save this) Everyone has been focused on the Anthropic compute deal and the Colossus revenue because those are numbers you can put in a spreadsheet. Six months ago, xAI was competing reasonably well on model performance but was not clearly on the frontier. Then SpaceX exercised its option to acquire Cursor for $60 billion, the largest startup acquisition in history just days after completing the largest IPO in history at $75 billion. Cursor is a team of 700 to 800 people, was on track to exit 2026 at up to $10 billion in revenue, had millions of professional developers using it daily, and had already built a team with the genuine potential to compete at the frontier, the one thing holding them back was compute. SpaceX just gave them the largest GPU cluster in the world to work with. Grok 4.3, a 1.5 trillion parameter model, is currently training with Cursor's proprietary coding data being injected directly into pre-training, not just fine tuning which is a fundamentally more powerful integration than anything the market is currently modeling. The prior version, Grok 4, was already on the Pareto frontier as of 10 to 12 days ago, the most intelligent 500 billion parameter model in the world, sitting alongside Google Gemini, Anthropic, and OpenAI as one of only four systems at the true frontier. Composer 2.5, the previous Cursor model was Pareto dominant in coding tasks just before the acquisition closed, meaning SpaceX inherited a model that was already best-in-class in the highest-value AI use case in the market. The AWS parallel is the one everyone keeps missing. Bezos built data center capacity for Black Friday, sat on idle infrastructure the rest of the year, and monetized it into what was at the time the most profitable technology business in history and investors hated it in 2009 and 2010 because he was burning free cash flow on capacity that had no obvious revenue yet. SpaceX is in exactly that position, it built Colossus for xAI's own training needs, is monetizing excess capacity to Anthropic at $1.25 billion per month across 220,000 Nvidia GPUs, and has reportedly secured up to 20% of Nvidia's early Vera Rubin allocation, giving it the most powerful and scarcest GPU infrastructure in the world during the critical window when those chips are hardest to get. The $60 billion Cursor acquisition closed at a moment when SpaceX had essentially unlimited compute, a team already at the frontier, and a product with deep enterprise distribution, three things no other model lab had simultaneously when it was at this stage. The market is pricing the compute business conservatively and ignoring the model call option entirely, and coding is the fastest path to AGI, once you are on the Pareto frontier with that compute, revenue scales fast. Anthropic went from negligible revenue to $30 billion annualized in under 18 months and that is the existence proof. Bullish on SpaceXAI and Elon Musk

The most overlooked part of the SpaceX IPO thesis is the model and most people are completely missing it (Save this) Everyone has been focused on the Anthropic compute deal and the Colossus revenue because those are numbers you can put in a spreadsheet. Six months ago, xAI was competing reasonably well on model performance but was not clearly on the frontier. Then SpaceX exercised its option to acquire Cursor for $60 billion, the largest startup acquisition in history just days after completing the largest IPO in history at $75 billion. Cursor is a team of 700 to 800 people, was on track to exit 2026 at up to $10 billion in revenue, had millions of professional developers using it daily, and had already built a team with the genuine potential to compete at the frontier, the one thing holding them back was compute. SpaceX just gave them the largest GPU cluster in the world to work with. Grok 4.3, a 1.5 trillion parameter model, is currently training with Cursor's proprietary coding data being injected directly into pre-training, not just fine tuning which is a fundamentally more powerful integration than anything the market is currently modeling. The prior version, Grok 4, was already on the Pareto frontier as of 10 to 12 days ago, the most intelligent 500 billion parameter model in the world, sitting alongside Google Gemini, Anthropic, and OpenAI as one of only four systems at the true frontier. Composer 2.5, the previous Cursor model was Pareto dominant in coding tasks just before the acquisition closed, meaning SpaceX inherited a model that was already best-in-class in the highest-value AI use case in the market. The AWS parallel is the one everyone keeps missing. Bezos built data center capacity for Black Friday, sat on idle infrastructure the rest of the year, and monetized it into what was at the time the most profitable technology business in history and investors hated it in 2009 and 2010 because he was burning free cash flow on capacity that had no obvious revenue yet. SpaceX is in exactly that position, it built Colossus for xAI's own training needs, is monetizing excess capacity to Anthropic at $1.25 billion per month across 220,000 Nvidia GPUs, and has reportedly secured up to 20% of Nvidia's early Vera Rubin allocation, giving it the most powerful and scarcest GPU infrastructure in the world during the critical window when those chips are hardest to get. The $60 billion Cursor acquisition closed at a moment when SpaceX had essentially unlimited compute, a team already at the frontier, and a product with deep enterprise distribution, three things no other model lab had simultaneously when it was at this stage. The market is pricing the compute business conservatively and ignoring the model call option entirely, and coding is the fastest path to AGI, once you are on the Pareto frontier with that compute, revenue scales fast. Anthropic went from negligible revenue to $30 billion annualized in under 18 months and that is the existence proof. Bullish on SpaceXAI and Elon Musk

Milk Road AI

69,446 次观看 • 1 个月前

SpaceX may be headed for a $2T public debut just as Anthropic takes the ARR crown from OpenAI. Add in lunar missions, orbital data centers, and AI that’s getting cheaper and more dangerous at the same time, and this week feels like a preview of the 2030s. -- NASA is back in deep space: Artemis II put humans around the Moon for the first time in 54 years. -- The one-person unicorn era has begun: one founder hit $41M in year-one revenue and a $1.8B valuation. -- Anthropic just threw a punch at OpenAI: ~$30B ARR vs. OpenAI’s ~$24–25B, while Mythos is rumored to be 400x better than humans on key AI research benchmarks -- OpenAI reportedly shut down Sora after it was losing $1M per day in compute

SpaceX may be headed for a $2T public debut just as Anthropic takes the ARR crown from OpenAI. Add in lunar missions, orbital data centers, and AI that’s getting cheaper and more dangerous at the same time, and this week feels like a preview of the 2030s. -- NASA is back in deep space: Artemis II put humans around the Moon for the first time in 54 years. -- The one-person unicorn era has begun: one founder hit $41M in year-one revenue and a $1.8B valuation. -- Anthropic just threw a punch at OpenAI: ~$30B ARR vs. OpenAI’s ~$24–25B, while Mythos is rumored to be 400x better than humans on key AI research benchmarks -- OpenAI reportedly shut down Sora after it was losing $1M per day in compute

Peter H. Diamandis, MD

29,454 次观看 • 3 个月前

Elon is a genius and there's no other way to explain what he built. The bears biggest argument against SpaceX's $1.75–2 trillion IPO valuation has always been the orbital data center play. Space based compute is unproven, technically complex, and expensive at a scale that defies easy modeling. SpaceX's own S-1 acknowledged it directly that these data centers may not achieve commercial viability. Critics were right to flag it as speculative but what they missed was that Elon was already building the hedge. While the debate about orbital compute was still theoretical, he was assembling the largest terrestrial AI infrastructure footprint on Earth. Colossus 1, now leased to Anthropic houses 230,000+ GPUs at 500 MW. Colossus 2 (Macro-Hard) runs 550,000 Blackwell GPUs targeting over 1 gigawatt enough to power roughly 750,000 American homes. The third facility, Macro-Harder, adds another ~500 MW of capacity across 810,000 square feet in Southaven, Mississippi, pushing the total campus toward 2 gigawatts and over 1 million GPUs. He secured all of this, the land, the power contracts, the chips before the rest of the market understood that power and compute would become the single most constrained resource in the AI economy. Now that constraint is everywhere and he owns the supply. Starlink is already generating $11.4 billion in annual revenue with 63% EBITDA margins and 10 million+ subscribers. The company is projecting $20 billion in total revenue across the combined entity in 2026 and that existing cash engine now funds the entire AI buildout and the Anthropic compute deal alone is estimated to generate an incremental $4–5 billion in revenue this year. The orbital data center bet may still pay off on top of all of this. But it doesn't have to, the terrestrial capacity alone, at current utilization rates, subsidizes Grok training, generates hyperscaler revenue, and floors the SpaceX valuation story against every bear case scenario. Elon didn't just build rockets but rather he built the infrastructure layer that the entire AI industry now depends on and then started selling access to the people who need it most. Go PRO at Milk Road to see how our analysts are positioning for what could become the trade of a lifetime, the SpaceX IPO and the AI infrastructure supercycle. Link below!

Elon is a genius and there's no other way to explain what he built. The bears biggest argument against SpaceX's $1.75–2 trillion IPO valuation has always been the orbital data center play. Space based compute is unproven, technically complex, and expensive at a scale that defies easy modeling. SpaceX's own S-1 acknowledged it directly that these data centers may not achieve commercial viability. Critics were right to flag it as speculative but what they missed was that Elon was already building the hedge. While the debate about orbital compute was still theoretical, he was assembling the largest terrestrial AI infrastructure footprint on Earth. Colossus 1, now leased to Anthropic houses 230,000+ GPUs at 500 MW. Colossus 2 (Macro-Hard) runs 550,000 Blackwell GPUs targeting over 1 gigawatt enough to power roughly 750,000 American homes. The third facility, Macro-Harder, adds another ~500 MW of capacity across 810,000 square feet in Southaven, Mississippi, pushing the total campus toward 2 gigawatts and over 1 million GPUs. He secured all of this, the land, the power contracts, the chips before the rest of the market understood that power and compute would become the single most constrained resource in the AI economy. Now that constraint is everywhere and he owns the supply. Starlink is already generating $11.4 billion in annual revenue with 63% EBITDA margins and 10 million+ subscribers. The company is projecting $20 billion in total revenue across the combined entity in 2026 and that existing cash engine now funds the entire AI buildout and the Anthropic compute deal alone is estimated to generate an incremental $4–5 billion in revenue this year. The orbital data center bet may still pay off on top of all of this. But it doesn't have to, the terrestrial capacity alone, at current utilization rates, subsidizes Grok training, generates hyperscaler revenue, and floors the SpaceX valuation story against every bear case scenario. Elon didn't just build rockets but rather he built the infrastructure layer that the entire AI industry now depends on and then started selling access to the people who need it most. Go PRO at Milk Road to see how our analysts are positioning for what could become the trade of a lifetime, the SpaceX IPO and the AI infrastructure supercycle. Link below!

Milk Road AI

63,920 次观看 • 2 个月前

🚨 Tesla just trademarked "Megapod" The filing describes it as modular hardware for AI computing, which has sparked a lot of speculation about what Tesla could be building next. Jeff Lutz 🔋 pointed out that this comes just months after Elon Musk talked about deploying millions of dedicated "Digital Optimus" units at Supercharger locations. If that's the direction Tesla is heading, Superchargers could eventually become more than charging stations. They could also serve as distributed AI hubs powered by Tesla batteries, compute hardware, and potentially even Starlink connectivity. Nothing is confirmed yet, but it's an interesting idea! Most people see a charging network. Tesla may see a future AI infrastructure network. 👀 $TSLA

🚨 Tesla just trademarked "Megapod" The filing describes it as modular hardware for AI computing, which has sparked a lot of speculation about what Tesla could be building next. Jeff Lutz 🔋 pointed out that this comes just months after Elon Musk talked about deploying millions of dedicated "Digital Optimus" units at Supercharger locations. If that's the direction Tesla is heading, Superchargers could eventually become more than charging stations. They could also serve as distributed AI hubs powered by Tesla batteries, compute hardware, and potentially even Starlink connectivity. Nothing is confirmed yet, but it's an interesting idea! Most people see a charging network. Tesla may see a future AI infrastructure network. 👀 $TSLA

Herbert Ong

22,462 次观看 • 25 天前

In Ackman's latest interview he divides the AI market, stating that it is not a bubble at the foundational layer, but highly risky at the software/model layer. He sees "near infinite demand" for compute. He believes infrastructure providers such as Microsoft, Amazon, Meta, and even SpaceX will earn massive returns on their data center investments. He is highly skeptical of pure model layer businesses like OpenAI and Anthropic. He notes they face massive capital burn rates and an existential threat from open-source models such as Chinese model and SpaceX that are driving the cost of AI access effectively to zero. A business model reliant on charging for proprietary models will collapse if open-source alternatives are essentially free. $AMZN $META $MSFT $SPCX

In Ackman's latest interview he divides the AI market, stating that it is not a bubble at the foundational layer, but highly risky at the software/model layer. He sees "near infinite demand" for compute. He believes infrastructure providers such as Microsoft, Amazon, Meta, and even SpaceX will earn massive returns on their data center investments. He is highly skeptical of pure model layer businesses like OpenAI and Anthropic. He notes they face massive capital burn rates and an existential threat from open-source models such as Chinese model and SpaceX that are driving the cost of AI access effectively to zero. A business model reliant on charging for proprietary models will collapse if open-source alternatives are essentially free. $AMZN $META $MSFT $SPCX

CapexAndChill

131,711 次观看 • 3 天前

SpaceX has officially acquired xAI and this is a HUGE deal, probably bigger than most people realize. SpaceX + xAI together are about to build a single, vertically integrated engine that connects AI, rockets, space based internet, and real time information all into one unified system. At the core of this announcement is the fact that AI can’t scale forever on Earth. Think about it. Data centers are already running into hard limits with power, cooling, land, and environmental cost. On top of this, global AI electricity demand is exploding, and doing all of this on the ground just doesn’t scale long term. Therefore Space changes this. In orbit, you can get things like near-constant solar power, you don’t have cooling problems, there’s minimal land/environmental impact, and you can build systems that can run continuously with minimal maintenance. This is why space-based AI is actually very practical and there’s only one company that can do it, which is SpaceX! The scale that SpaceX is aiming for is pretty wild. Elon is talking about 1/ 1 million satellites acting as orbital data centers, and 2/ Launching ~1 million tons of satellites per year Which means 3/ At 100 kW per ton, that’s 100 gigawatts of AI compute every year 4/ And that can scale to 1 terawatt per year. FYI, adding 100 GW of new compute capacity annually in space would be like building out roughly 20-25% of the USA’s total average electricity demand every single year. And scaling to 1 TW/year would exceed the nation’s entire power usage, ALL without burdening Earth’s grids! Bro… this is next level… I repeat, as of today, SpaceX is the ONLY company positioned to do this, especially with Starship - the largest flying vehicle ever. In the future, Elon’s saying the team is going to have Starship launch 200 tons at a time, on an HOURLY basis… WTF?! That’s is absolutely mind boggling. In my opinion, whichever company builds the lowest cost AI compute is going to be the first company that defines the next era of AI, which will all be in space… and my $ is that SpaceX is going to be the first one to do it. Then, when you zoom out even further, this will unlock things most people aren’t even thinking about yet today bc it’s too sci-fi. Like, • Powering lunar bases • In-space propellant transfer • Manufacturing in orbit and on the Moon • Deep-space AI infrastructure using massive solar collectors • Self-growing civilizations on the Moon, Mars, and beyond By tapping into space’s unlimited solar energy, this is how we get to a Kardashev-level civilization! So for SpaceX, the faster Starship progresses, there will be massive new revenue streams and will lead in building out space-based AI infrastructures. For xAI, AI scales without ruining Earth, deeply integrated with everything SpaceX is building, further understanding the universe. For us humans, AI will grow without destroying the planet, and there’s a real path to becoming multi-planetary. I believe SpaceX acquiring xAI is officially the blueprint for where AI, energy, and humanity are headed. Congratulations to everyone, this is such an exciting time to be alive!

SpaceX has officially acquired xAI and this is a HUGE deal, probably bigger than most people realize. SpaceX + xAI together are about to build a single, vertically integrated engine that connects AI, rockets, space based internet, and real time information all into one unified system. At the core of this announcement is the fact that AI can’t scale forever on Earth. Think about it. Data centers are already running into hard limits with power, cooling, land, and environmental cost. On top of this, global AI electricity demand is exploding, and doing all of this on the ground just doesn’t scale long term. Therefore Space changes this. In orbit, you can get things like near-constant solar power, you don’t have cooling problems, there’s minimal land/environmental impact, and you can build systems that can run continuously with minimal maintenance. This is why space-based AI is actually very practical and there’s only one company that can do it, which is SpaceX! The scale that SpaceX is aiming for is pretty wild. Elon is talking about 1/ 1 million satellites acting as orbital data centers, and 2/ Launching ~1 million tons of satellites per year Which means 3/ At 100 kW per ton, that’s 100 gigawatts of AI compute every year 4/ And that can scale to 1 terawatt per year. FYI, adding 100 GW of new compute capacity annually in space would be like building out roughly 20-25% of the USA’s total average electricity demand every single year. And scaling to 1 TW/year would exceed the nation’s entire power usage, ALL without burdening Earth’s grids! Bro… this is next level… I repeat, as of today, SpaceX is the ONLY company positioned to do this, especially with Starship - the largest flying vehicle ever. In the future, Elon’s saying the team is going to have Starship launch 200 tons at a time, on an HOURLY basis… WTF?! That’s is absolutely mind boggling. In my opinion, whichever company builds the lowest cost AI compute is going to be the first company that defines the next era of AI, which will all be in space… and my $ is that SpaceX is going to be the first one to do it. Then, when you zoom out even further, this will unlock things most people aren’t even thinking about yet today bc it’s too sci-fi. Like, • Powering lunar bases • In-space propellant transfer • Manufacturing in orbit and on the Moon • Deep-space AI infrastructure using massive solar collectors • Self-growing civilizations on the Moon, Mars, and beyond By tapping into space’s unlimited solar energy, this is how we get to a Kardashev-level civilization! So for SpaceX, the faster Starship progresses, there will be massive new revenue streams and will lead in building out space-based AI infrastructures. For xAI, AI scales without ruining Earth, deeply integrated with everything SpaceX is building, further understanding the universe. For us humans, AI will grow without destroying the planet, and there’s a real path to becoming multi-planetary. I believe SpaceX acquiring xAI is officially the blueprint for where AI, energy, and humanity are headed. Congratulations to everyone, this is such an exciting time to be alive!

Teslaconomics

148,521 次观看 • 5 个月前

Elon Musk is changing the world SpaceX is making space travel much cheaper by reusing rockets. Launch costs dropped 85% and they now launch over 80% of everything going into orbit Most of SpaceX’s money actually comes from Starlink, their satellite internet service with 10 million customers, not just rocket launches Elon Musk is combining SpaceX with his other companies, xAI, Groq, and X. He’s planning to take it public through a huge IPO The big vision: Build giant AI data centers in space. Why space? - Unlimited cheap solar power from the sun - Very cold temperatures, perfect for cooling computers - No angry neighbors or strict environmental rules This would cost a fortune, so they want to raise money from public investors This in my opinion is the best part, Elon Musk is making sure he stays in control of decisions Musk will have 10x voting power over the whole company If you invest, you’re mostly betting on Elon Musk himself This is exactly what you want. You want Musk making the decisions not being overruled by people with other motives

Elon Musk is changing the world SpaceX is making space travel much cheaper by reusing rockets. Launch costs dropped 85% and they now launch over 80% of everything going into orbit Most of SpaceX’s money actually comes from Starlink, their satellite internet service with 10 million customers, not just rocket launches Elon Musk is combining SpaceX with his other companies, xAI, Groq, and X. He’s planning to take it public through a huge IPO The big vision: Build giant AI data centers in space. Why space? - Unlimited cheap solar power from the sun - Very cold temperatures, perfect for cooling computers - No angry neighbors or strict environmental rules This would cost a fortune, so they want to raise money from public investors This in my opinion is the best part, Elon Musk is making sure he stays in control of decisions Musk will have 10x voting power over the whole company If you invest, you’re mostly betting on Elon Musk himself This is exactly what you want. You want Musk making the decisions not being overruled by people with other motives

Wall Street Apes

28,675 次观看 • 1 个月前

Bill Ackman was asked how he would underwrite SpaceX at $750 billion and his answer was the most honest thing anyone has said about the biggest IPO in history (Save this). "You underwrite SpaceX the way you underwrite a venture capital investment." His business school professor taught him a framework that has guided his entire career, it's people, opportunity, context, deal. On all three of the first criteria, People, Opportunity, and Context Ackman's verdict was the same, SpaceX is one of one, and nothing else in the market comes close. He even acknowledged feeling bad for Blue Origin before noting that their being so far behind is not harmful to SpaceX but rather a structural tailwind that leaves SpaceX with a near monopoly on low cost orbital access for years to come. And at $1.75 trillion, the number SpaceX is actually targeting on June 12, the question is no longer whether this is the best business on earth, but what the present value math looks like when you extend it five years forward and stress test every assumption about Starlink, launch economics, and AI compute revenue. He said that even Amazon is going to have to become a bigger SpaceX customer, because Blue Origin is so far behind that Amazon has no real alternative for low-cost orbital access. He also said something that almost no one is giving enough weight heading into Thursday's listing: "Time has become increasingly valuable in the AI era. You lose a month, you lose a couple months today, and it means a lot." The Colossus and Macro Hard facilities are compounding infrastructure assets where every month of operational delay means less contracted revenue, less negotiating leverage with customers like Google and Anthropic, and a progressively weaker moat against the hyperscalers who are now racing to build competing compute capacity. Come join Milk Road Pro for our full SpaceX IPO breakdown, how we're stress-testing the Deal leg of Ackman's framework at $1.75 trillion, what our five-year revenue model actually looks like, and our full AI thesis. Link below.

Bill Ackman was asked how he would underwrite SpaceX at $750 billion and his answer was the most honest thing anyone has said about the biggest IPO in history (Save this). "You underwrite SpaceX the way you underwrite a venture capital investment." His business school professor taught him a framework that has guided his entire career, it's people, opportunity, context, deal. On all three of the first criteria, People, Opportunity, and Context Ackman's verdict was the same, SpaceX is one of one, and nothing else in the market comes close. He even acknowledged feeling bad for Blue Origin before noting that their being so far behind is not harmful to SpaceX but rather a structural tailwind that leaves SpaceX with a near monopoly on low cost orbital access for years to come. And at $1.75 trillion, the number SpaceX is actually targeting on June 12, the question is no longer whether this is the best business on earth, but what the present value math looks like when you extend it five years forward and stress test every assumption about Starlink, launch economics, and AI compute revenue. He said that even Amazon is going to have to become a bigger SpaceX customer, because Blue Origin is so far behind that Amazon has no real alternative for low-cost orbital access. He also said something that almost no one is giving enough weight heading into Thursday's listing: "Time has become increasingly valuable in the AI era. You lose a month, you lose a couple months today, and it means a lot." The Colossus and Macro Hard facilities are compounding infrastructure assets where every month of operational delay means less contracted revenue, less negotiating leverage with customers like Google and Anthropic, and a progressively weaker moat against the hyperscalers who are now racing to build competing compute capacity. Come join Milk Road Pro for our full SpaceX IPO breakdown, how we're stress-testing the Deal leg of Ackman's framework at $1.75 trillion, what our five-year revenue model actually looks like, and our full AI thesis. Link below.

Milk Road AI

434,893 次观看 • 1 个月前