An individual Investor from Taiwan who focus on Tech, AI, autonomy, and robotics. The future is autonomous. Ad astra per aspera!

Taipei, Taiwan
lol
This is not AI, it is Super Intelligence $NVDA
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“Don’t think for a second just because you’re an alarmist that you’re doing a social good.”
Thank goodness for @JensenHuang … “Don’t think for a second just because you’re an alarmist that you’re doing a social good.”
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Ryan Wang 🇹🇼 retweeted
For over a year, I have been tracking SpaceX compute and keeping an updated deployment list. Elon just confirmed the exact cluster estimate we were working with. Here is the distribution, the delivery timeline, and how much SpaceX keeps internally through year-end. Confirmed fleet today: 780.0k GPUs Colossus 1: 150.0k H100 + 50.0k H200 + 30.0k GB200 = 230.0k Colossus 2: 110.0k GB200 + 440.0k GB300 = 550.0k Where the 780.0k sits Anthropic: 325.0k already live – 230.0k from Colossus 1 (150.0k H100 + 50.0k H200 + 30.0k GB200) – 95.0k GB200 from Colossus 2 Colossus 2 is then left with 15.0k GB200 and 440.0k GB300. Google is next with 110.0k GB300 from Colossus 2, starting at full rate in October. Reflection AI: 17.9k GB300 from Colossus 2, committed since July ($150M/month). Estimated using Google rates, but this deal specifically can vary. Add the 220.0k next week, subtract Google's next-month ramp, and you get 547.1k left on a 1.000M fleet before the two remaining committed hosting blocks. (About 413k+ consistently remains for interal use) Two remaining blocks, both priced off the Google GB300 rate of $8,363.6/GPU-month: – $6.7B / 6-month deal starting October → 133.5k GPUs – $1.11B/month undisclosed deal starting December 1 → 132.7k GPUs Internal stack— Now: 780.0k fleet / 342.9k external / 437.1k internal Next week: 1.000M fleet / 342.9k external / 657.1k internal October, Google + $6.7B block on: 1.000M fleet / 586.4k external / 413.6k internal November: 1.220M fleet / 586.4k external / 633.6k internal December base: 1.220M fleet / 719.2k external / 500.8k internal December lucky (+220.0k): 1.440M fleet / 719.2k external / 720.8k internal By the Q3 report season, SpaceX is left with 413.6k. November takes the fleet to 1.220M and internal to 633.6k. The December block knocks that to 500.8k. If the third 220.0k lands, internal is 720.8k on a 1.440M fleet. H100-equivalent on the lucky year-end stack, using Epoch’s Colossus conversion (B200/B300 ≈ 2.5× H100): – 780.0k physical ≈ 1.7M H100-eq – 1.000M ≈ 2.2M – 1.220M ≈ 2.8M – 1.440M ≈ 3.3M H100-eq Mark GB300 closer to 3.,4× and the 1.44M stack is 4.2M H100-eq. Largest coherent AI fleet on one operator, with 76.4% of the entire fleet being GB300. With 500.8k at hand in the base case, 720.8k if December hits, SpaceX can push the workhorse model machine training run, Grokbot, and Composer/Cursor on-campus with 63.8k–283.8k more GPUs internally than it has today. That inventory is also what lets them close another compute deal into early 2027 to start up the 10Ggoal in 2027.
Replying to @minchoi
Colossus 1 is 150k H100, 50k H200 and 30k GB200. Colossus 2 is 110k GB200 and 440k GB300. Another 220k GB300 will be fully operational next week and another 220k in November. If we get lucky, yet another 220k GB300 by late December.
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Ryan Wang 🇹🇼 retweeted
Replying to @minchoi
Colossus 1 is 150k H100, 50k H200 and 30k GB200. Colossus 2 is 110k GB200 and 440k GB300. Another 220k GB300 will be fully operational next week and another 220k in November. If we get lucky, yet another 220k GB300 by late December.
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Ryan Wang 🇹🇼 retweeted
An NVIDIA GPU is a high-yield asset. An H100, bought on the secondary market in Sep 2025 for ~$19k: Resale today: ~$20.5k Net rent earned: ~$13.5k Total: ~$34,000, +76% in 1 year. A B300, bought in Jul 2026 for ~$54k: Resale today: ~$51k Net rent earned: ~$14k Total: ~$65,500, +21% in under 3 months What allows these assets continue to earn? Resale value has held as rental rates have increased and demand has grown across all hardware generations. Resale rates have held within −5% to +7%, while Ornn's H100 index is $2.91/hr, +49% from a year ago, and our new B300 index tracks at $11.32/hr, up 66% from June. H100 marketplace utilization is 87% today. B300 is at 90%. Ornn's forward curves predicts that in 2 years, by Sep 2028: H100 ~$63,500 (+227%) B300 ~$186,000 (+244%) NVIDIA Hopper and Blackwell hardware both hold incredible residual value.
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Ryan Wang 🇹🇼 retweeted
All you need to know about Oracle's massive, $300BN New Mexico data center Project Jupiter, which is an SPV (off balance sheet) linking some of the biggest financial players today zerohedge.com/markets/oracle…
Oracle Loans Backing Massive New Mexico Data Center Tumble To Stressed Levels zerohedge.com/markets/oracle…
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Ryan Wang 🇹🇼 retweeted
thank you @shubgaur and @Multi_Serio_Ai! make your own here: x.ai/bot/marketplace/bots/pf…
Took @Multi_Serio_Ai 's Bot PFP generator and turned it into a bot anyone can use! Give it a spin, link in comments
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Talulah Riley: "Elon said, would you like to come to my hotel room to look at rocket videos? And we did get into his hotel room, and he did just show me rocket videos."
Replying to @wholemars
I see a rocket, what do you see? 😂
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Replying to @wholemars
I see a rocket, what do you see? 😂
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Tesla Semi Pre-Reveal Revealed! Excited to share this segment of the drone flight one day prior to the Tesla Semi Reveal event. They have added branding to several Tesla new generation semis. Including: Pepsico US Foods Einride LTS Nevoya OK Produce ABF Freight DHL WattEV IMC Logistics HMD Some of these we knew about and some are previously unknown. @tesla_semi @danWpriestley
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My unpopular opinion: Don’t make every agent bot’s opening pitch “help organize email and unsubscribe from junk,” or “book flights and hotels.” Find scenarios that real consumers actually use at high frequency.
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One day, emergency tire-change roadside assistance will be handled by @Tesla_Optimus 🤣
Robotaxi in Austin gets a flat tire. Robotaxi calls humans to inform them of the flat tire. Humans arrive and change tire. Robotaxi back to work. The Tesla team was amazing.
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Ryan Wang 🇹🇼 retweeted
The World is Changing: AI For Creativity By Jeffrey Katzenberg A few months ago, I sat in my office in Silicon Valley and watched as a tech founder showed me something extraordinary. On the screen was a fully realized, beautifully lit, well-composed animated scene. It was stunning and it made me feel exactly what I felt in 1986 watching Luxo Jr. That was the first time I watched a computer-animated 3D character take a breath and seem, against all reason, to have life. It left me in awe. Later that day, I received a text from an artist I've known for thirty years, 350 miles to the south, in the city where I spent most of my career. After seeing a similar video, she texted: "Is this the end of us?" My answer was, "Certainly not.” I have spent the better part of the last decade in Silicon Valley, but the heart of my career has been in Hollywood. Being deeply connected to both worlds means I have deep loyalties to each and a responsibility to speak honestly to both. In 2023, I said that these new AI tools would cut the time and cost of producing world-class animation by as much as ninety percent within three years. Some colleagues were alarmed, many were furious. There is growing fear and resistance surrounding AI within the creative community. I deeply understand it, because I've spent countless hours walking through animation studios watching gifted artists bent over their desks, rebuilding a single second of film for the tenth time because the ninth version wasn't quite right. I've sat in screening rooms where four years of people's labor played out in minutes, and I knew the name of every person that had spent countless hours bringing those images to life. The creative process is a calling, there's really no other way to describe it. From the outside some see resistance. From the inside, it is love. People do not fight this hard for things they don't care about. The pushback coming out of Hollywood represents the collective effort of people who are deeply passionate about their craft. Is History Repeating Itself? The history here is more complicated than either side may realize. In 1906, the most famous composer in America, John Philip Sousa, published an essay titled “The Menace of Mechanical Music." He warned that the phonograph would become "a substitute for human skill, intelligence and soul." Sousa's fight was not really about the machine, it was about money. The machines were playing his compositions, and the men who built them weren't paying him a cent. His campaign helped create the Copyright Act of 1909. He did not stop the technology. He changed the terms under which it could use his work. A hundred years ago, sound came to the movies. We remember it now as a miracle, and it was. What we forget is who paid for it. Before sound, tens of thousands of musicians made their living in the orchestra pits of movie houses, scoring every film live, every night, in towns all over the world. When the soundtrack arrived, the work of one composer and one orchestra was recorded for a film that went into thousands of theaters. The union fought back with everything it had, taking out newspaper ads across the country warning against the menace of "canned music," one of them showing a mechanical man tearing the strings out of a harp while an angel wept. They were not fools, and they were not Luddites. They were right. Those pit jobs did not come back. And yet (this is the part we have to be brave enough to admit), sound gave us the movie musical, the modern score, sfx, sound design, audio engineering, and an art form vastly larger than the one it disrupted. And it helped keep Hollywood in the forefront of world entertainment for the rest of the century and into the next. The loss was real. And yet the art form expanded. This is a story that has been told over and over again. To resist technology is to risk irrelevance. Just look at Kodak or Blockbuster. To embrace technology is to open doors of new possibility. Just consider Apple and Netflix. What I Learned From Walt Disney In the mid-1980s, I was tapped to lead Disney's animation division at a moment when the studio was at an inflection point. Animation wasn't just another business unit. It was the soul of the company, a medium revered because of Walt's genius and his passion. But the production system was cumbersome and unforgiving. A single movie was 125,000 individual hand-drawn and painted cels, photographed one frame at a time. Every revision carried a cost measured in months. These degrees of difficulty shaped the kinds of stories we could tell. We found our way forward in an unexpected place: Walt himself. The Disney archives held astonishing recordings of Walt explaining his creative process. His own writings. His notes and storyboards. Work product captured at every stage of his process. This was truly a gift. Listening, reading, sitting with the work itself, we heard him talk about character, about emotion, about how an audience feels when a character truly comes alive. He talked about making bold choices and refining a scene until it genuinely moved people. We didn't hear a word about pencils or paintbrushes. In fact, Walt was famous for being a technologist, forever hunting for state-of-the-art tools, often inventing them himself to achieve the images he saw in his head. But he never defined animation by the tools. He defined it by whether the audience believed the character. His principles were timeless. The tools were not. That realization changed everything. We co-developed the Computer Animation Production System (CAPS) with a young Northern California company called Pixar, replacing hand-painted cels with CGI. In The Little Mermaid, the final scene shimmered with a dimensionality and light that the old process simply couldn't achieve. In Beauty and the Beast, the ballroom sequence moved with a cinematic sweep that placed the audience inside the emotion of the moment. In Aladdin, the Cave of Wonders felt vast and alive, and the Magic Carpet became an intricate, compelling character all its own. In The Lion King, the stampede carried a scale and intensity that raised the emotional stakes beyond anything we'd done before. Technology didn't diminish the craft, it expanded the canvas. It gave artists more room to create. A decade later, the canvas expanded again. When Disney released Pixar's Toy Story, it wasn't simply a technical milestone. It was proof that a fully computer-animated film could carry real emotional weight, that it could make audiences laugh, cry, and believe. At DreamWorks, we made the difficult decision to sunset hand-drawn animation and become a fully computer-animated studio. It was the right thing to do, but it was not without pain. It cost talented people their place in an industry where they had worked their whole lives. Some made the leap to the new tools and did the finest work of their careers. Some never did. Tools are never the point. The instruments change with every generation. What endures is taste and imagination. The magical ability to make an audience feel. One of the greatest storytellers of our generation, George Lucas, succinctly captured the eternal essence of this issue: “It’s not the how, it’s the why.” A Distinction With a Difference I asked one of the leading AI models a question that has been challenging me for months. What is the difference between reasoning and creating? Its answer changed how I think about almost everything happening in this industry. It said . . . Reasoning and creating are two distinct cognitive modes, though they also work together. Reasoning is fundamentally evaluative and analytical. It operates on what already exists: facts, premises, evidence. It moves toward a conclusion that was in a sense already implied by the input. Reasoning is constrained by logic and truth. Its goal is to arrive somewhere correct, not to invent somewhere new. Creating is fundamentally generative. It produces something that didn't exist before. And crucially, there's no single right answer waiting to be found. A blank page has infinite valid responses. Creation involves choices that can't be fully justified by logic alone. Taste, intuition and vision fill the gap where deduction runs out. Reasoning is what Silicon Valley has been perfecting. Creating is what Hollywood has been practicing for more than a century. AI today operates almost entirely on the reasoning side of the line. It can deduce, evaluate, optimize, and pattern-match brilliantly. And while it can create, there is a real distinction to being creative. What it doesn’t yet have is those things that make us human: empathy, devotion, serendipity, the kind of creativity that comes from a person trying to say something only they could say. When the bot generates a piece of art, it is not trying to communicate anything. It is statistics, not soul; it is emulating things that have been done. By contrast, human creativity isn’t about repeating patterns of zeros and ones; it is about doing something new. One day, AI may close this gap. Three years ago, the leaders building AI would have called what they are achieving today, improbable, if not impossible. Impossible is no longer improbable. Today, the line between reasoning and creating is real. Even the leading technologists acknowledge we are not there yet. There is no scientific path to crossing this divide that anyone in the field can articulate today. Understanding that gap is where we will find common ground. A Path Forward In 2016, I closed one chapter in Hollywood with the sale of DreamWorks and opened another in Northern California, co-founding WndrCo. We’ve backed more than 50 founders building the next generation of technology and watched how breakthroughs in Silicon Valley emerge, first as experiments, then as platforms, and finally as infrastructure that reshapes entire industries. It's worth remembering that the last great revolution in animation also came from the north. Pixar was a Northern California company, forged not in the conventions of the Hollywood studio system, but in the technological breakthroughs of Silicon Valley. I've spent years on both sides of this bridge. For sure, I don’t have all the answers (take Quibi, for one!). But, from my past and present vantage points of my long career, here is what I see . . . Brilliant people in Northern California building this technology have made something extraordinary. They have earned the right for the rest of us to be, if not believers, at least optimistic that what comes next will be remarkable. But they have not made an artist. The tools are powerful, but they are not what makes a story matter. That knowledge lives 350 miles to the south, inside people whose life's work has informed the very models you are building. The right path forward includes them by design, with credit, with consent, and with compensation. Build this with the storytellers. Not on top of them. Taste is not something that can be synthesized, it is uniquely human. At the same time, Hollywood needs to accept that AI is not going away. The energy they are spending trying to make it disappear is energy they are not spending deciding the terms on which it will exist. And the terms are everything. The north needs something from it that they cannot build and cannot buy: creativity. The kind that takes a blank page and conjures a single right answer where there was none and has held audiences for a century. Without it, the most powerful reasoning engine ever invented will still be missing the only thing that makes a story worth telling. The artists who learn to wield these new instruments will do things the engineers never dreamed of. They always have. Edison invented the motion picture but made terrible movies. It took Chaplin, Lloyd, Keaton and so many others to make movies emotional. Now, the canvas is about to expand yet again. We should decide now that we intend to paint on it. There are so many valuable lessons in history. This has happened many times before, and it was never settled by the technology. It was settled by the terms. Sousa did not stop the phonograph; he helped write the law that made sure composers got paid. And two years ago, when the writers and the actors walked out, they were fighting for the very things Sousa was fighting for in 1906. Consent, compensation, the basic recognition that human creative work has a price that must be paid. The terms of that fight are still being negotiated, but the principle is older than any of us. The tools-versus-no-tools argument is a trap. First, we must all agree that there should be terms. Then we can have the crucial debate about what fairness requires. What I Learned From Steve Jobs Years ago, Steve Jobs said, "It's in Apple's DNA that technology alone is not enough. It's technology married with the liberal arts, married with the humanities, that yields us the result that makes our hearts sing." He was describing a device. But he could just as easily have been describing this tale of two cities. What I See Coming Soon As the barriers and the costs come down, more films will get made, not fewer. Studios will get to take more risks. There will be more seats at the table, and very soon entirely new forms of storytelling. In the 1980s, animation was dismissed as a niche corner of the business. Today it is one of the most beloved and profitable forms of storytelling in the world. In live action, filmmakers like Steven Spielberg, James Cameron and Peter Jackson embraced new visual tools not as shortcuts, but as instruments, and expanded cinema in the process. Every time storytelling has met a genuine technological shift, from synchronized sound to color to computer animation, it has redefined the boundaries of the medium and grown larger in the process. Assuredly, I don’t have all the answers, but I am confident that the creative opportunities will expand yet again. How we come through this is a choice. The north has the new tools. The south has the creative soul. The best future will draw on the best of both worlds.
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Ryan Wang 🇹🇼 retweeted
.@bot's app performance continues to grow, with DAUs nearing 150K
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Tesla FSD (Supervised) handles the extremely narrow and steep streets of Slovenia’s old village centres with ease. 🇸🇮 @teslaeurope @Tesla @TeslaOwnersSLO
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Elon Musk Is Powering The American Renaissance zerohedge.com/economics/vict…
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Ryan Wang 🇹🇼 retweeted
My first drive with the newly approved Czech 🇨🇿 Tesla FSD through the beautiful center of Prague. Tesla has done it. It's smooth, safe and an absolute delight to supervise. @teslaeurope @Tesla_AI @Tesla @elonmusk
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Ryan Wang 🇹🇼 retweeted
BREAKING: Elon Musk on the education he’d recommend for a world of AI in his new interview with CCTV Finance: “My recommendation for education would be to get as broad-based an education as possible. That includes arts and sciences, engineering, wide general knowledge. Know what to ask the robots for. You need to be able to formulate the question. And with the broadest possible general knowledge, you'll be better able to formulate the questions, or what they call prompt engineering, I guess. You've got to convey your wishes to the robot.”
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