We arrived! 🇭🇰🌏 WR Chess Team is ready to fight for the World Championship in Hong Kong. On 16 June at 09:45 AM, the Rosewood Hotel will host the only official press conference featuring Magnus Carlsen during his stay in Hong Kong. For the first time ever, World No. 1 Magnus Carlsen and World Championship Challenger Javokhir Sindarov will appear together at the same press conference. In addition, the entire WR Chess Team will be present: ♟️ Magnus Carlsen – Five-time World Champion and the highest-rated player in chess history. ♟️ Fabiano Caruana – Former World Championship Challenger and one of the strongest players of his generation. ♟️ Javokhir Sindarov – Official World Championship Challenger and one of the brightest young stars in world chess. ♟️ Wesley So – Fischer Random World Champion and one of the world’s leading grandmasters. ♟️ Maxime Vachier-Lagrave – Former World Blitz Champion and one of the most dynamic attacking players in modern chess. ♟️ Jan-Krzysztof Duda – World Cup winner and one of the strongest players in the world. ♟️ Alexandra Kosteniuk – Former Women’s World Champion and one of the most recognizable ambassadors of chess. ♟️ Aleksandra Goryachkina – Women’s World Championship Challenger and one of the strongest female players in the world. ♟️ H.E. Zandanshatar Gombojav – 34th Prime Minister of Mongolia and member of the WR Chess Team. ♟️ Jan Gustafsson – Team Captain, Grandmaster, commentator, and former second to Magnus Carlsen in World Championship matches. ♟️ Wadim Rosenstein – Founder of WR Chess and Chairman of WR Group Holding. Hong Kong is set to become the global capital of chess as the world’s best players gather for the FIDE World Team Rapid & Blitz Chess Championships 2026. We look forward to welcoming media representatives, partners, and chess fans from around the world. See you in Hong Kong. 🇭🇰🌏♟️ @MagnusCarlsen @FabianoCaruana @GMJSindarov @Zandanshatar @Vachier_Lagrave @GMJanGustafsson @chessqueen @WesleySo_ @GM_JKDuda

Sam Altman just crashed two stock markets in 4 hours and exposed the AI bubble. OpenAI is delaying its public listing until 2027 because Altman REFUSES to accept a single dollar under a $1 trillion valuation. Asia opened to the news and the panic was instant: SoftBank fell 13% in Tokyo, its worst day in months. The Nikkei dropped 4.5%. South Korea's KOSPI crashed 8% and the Korea Exchange triggered circuit breakers on the futures market, then halted trading entirely for 20 minutes when the bleeding refused to stop. Hong Kong and Shanghai followed. US futures slid before market open. One report triggered all of it in roughly four hours, erasing trillions in market cap across three continents. The world's most valuable private company just admitted it doesn't believe public markets will pay its asking price so Altman's own bankers presented him with two options: He could list this year at a lower valuation or he could wait until 2027 and try for the full trillion. He picked the wait, and the New York Times quoted a source saying he called any haircut a "non-starter." So basically: The man building "the most important technology in human history" doesn't think investors who actually have to mark their positions to market every day will hand him a trillion dollars right now. The reason he's right to be scared is sitting on the SpaceX ticker. Elon Musk's company IPO'd three weeks ago at a record $1.77 trillion valuation. The stock has since collapsed from $225 to $153, a 32% drop in seven trading days. Musk lost his trillionaire status in the process and every other AI-adjacent name has been dragged down with it. Altman watched that happen in real time and decided he'd rather burn another 18 months of compute cash than risk the same humiliation. Meanwhile the financials underneath the trillion-dollar number look like this: OpenAI did $13 billion in revenue last year on a $21 billion net loss. The company has committed roughly $600 billion in compute and hardware spending through 2030. Revenue is climbing to $2 billion a month, but the spending climbs faster. They are losing money at a scale that would have ended any other company in tech history, and the only thing keeping the lights on is the next funding round at the next higher number. The system Altman built depends on one thing: Each round has to price higher than the last, because that's what convinces the next round of investors to keep writing checks. The moment public markets refuse to pay the markup, the whole structure starts pricing itself the other direction. Anthropic already overtook OpenAI's last private valuation at $965 billion in May. SpaceX is showing what happens when reality finally hits. And SoftBank, the company that has bet $60 billion of borrowed money on OpenAI hitting that trillion-dollar mark, just had its worst session in weeks because the timer on Masayoshi Son's exit got pushed out another full year. Son spent yesterday at the shareholder meeting calling SoftBank "the goose that lays golden eggs." But the takeaway here is the TIMING: Altman's advisors told him retail enthusiasm "may be limited given current market jitters." That is banker code for "the bubble is showing cracks and you'll get embarrassed if you try this right now." The man who has been telling Congress, the press, and the public that AI will reshape civilization just looked at the order book and decided he doesn't want to find out what it's actually worth. The real story here goes beyond the delay itself. The most aggressive, hype-trained, valuation-obsessed CEO in modern technology just chose to wait rather than face a market that might say no. When the loudest believer flinches, the rest of us should probably pay attention.

World Lung is in full swing, which means the press releases are coming fast (before the papers or the sessions). 🫁 Why do we care in GI? Because all the shiny things start in lung and eventually make their way over here. HARMONi-2 compared ivonescimab vs pembrolizumab in PD-L1+ advanced NSCLC. We already knew the PFS result was kind of wild (in a China-only study): 11.1 vs 5.8 months HR 0.51 Now OS: 🔥 30.8 vs 22.6 months 🔥 HR 0.73 PD-L1 ≥50%: HR 0.58 PD-L1 1–49%: HR 0.85 So now this PD-1 x VEGF bispecific has beaten pembrolizumab for both PFS and OS in a randomized phase III trial. Yes, China only. Yes, pembro monotherapy is not really the comparator most of us would want for PD-L1 1–49%. Still. An 8-month OS difference is quite a bit. GI oncologists should be paying attention because this is already cooking in the first line mCRC setting with HARMONi-GI3. mFOLFOX6 + ivonescimab vs mFOLFOX6 + bevacizumab Is this an end-run around patent protection laws and PD1/PDL1's run out of time? (yes) Does the strategy have synergystic benefit? Time will tell. @OncoAlert @TheGutOncLab @Onco_Nexus

I flew my drone through Austin while riding in a Tesla Cybercab. No driver. No steering wheel. No pedals. Nobody up front. I got in, set my temperature, pressed one button, and the car took me where I wanted to go. That’s it. The closest thing I can compare it to is an elevator. You don’t get into an elevator and think about who’s operating it. You press a button. The doors close. You arrive. Cybercab felt exactly like that… except it was moving me through Austin. And after experiencing it, I keep coming back to one thought... How does Uber compete with this long term? An Uber is still built around a human driver. You’re getting into somebody else’s car. Their music. Their smell. Their temperature. Their mood. Their driving style. Maybe they want to talk. Maybe they’re on the phone. Maybe they miss a turn. Maybe you just want to sit there quietly and get where you’re going. Cybercab removes all of that. The car pulls up. The doors open. You get in. Set the cabin the way you want it. Press Start Ride. And go. No awkward small talk. No tipping. No wondering who is picking you up. No driver needing to earn enough $ money from the trip. No business model built around constantly finding, paying, and managing millions of human drivers. Uber’s biggest asset today is its driver network. But in a world where the driver disappears… what happens to that advantage? Tesla builds the vehicle. Tesla builds the autonomy. Tesla controls the software. Tesla controls the app. Tesla can operate the network. And Cybercab itself was designed from day one around the passenger instead of around somebody sitting behind a steering wheel. That is a completely different model. Uber connects you with someone willing to drive you. Tesla is trying to make the driver unnecessary. Those are not the same game. And once Cybercabs become abundant, I'm talking in the millions, I think calling a stranger to come pick you up in their personal car is going to start feeling incredibly old-fashioned. That was the biggest thing I took away from riding Cybercab. It was how quickly every other ride-hailing company stopped feeling futuristic. After a few minutes, it just felt normal. And once transportation becomes that simple, I have a hard time seeing why anyone would choose anything else...

I just sent where I’m going this evening to my Tesla. I’ll get in the car, press “Start Self-Driving,” and I’ll never touch another button or input anything that will impact the vehicle. The future is here.

I was burning through tokens. And something more valuable: my time. Dan Sanchez showed me how to use ChatGPT Codex to edit Press Start. It could take a longer video, pick the storyline, and put the pieces together. I went from extreme stress to complete elation. Then I used up a lot of its tokens. And I had a thought: I'm already paying for Claude. May as well use that. What took Chat less than 10 minutes took Claude a lot longer. It did a pretty good job, but then it got caught up on the smallest things. Like accidentally cutting off words. And I was stubborn. I finally realized I could take what Claude had learned and bring it back into Chat. My time was worth more than I was giving it credit for. Has saving money ever cost you time? Finish this sentence in the comments: "I thought I was saving, but..." Press Start: The Road to 3,000. #SocialMediaExaminer# #SMMW27# #AIVideoEditing# #SunkCostBias#