🚨 IN-SPACe has invited Indian companies to take over the complete development, operation and commercialisation of ISRO's LVM3 rocket. follow @india_plus_

If you think this car is ugly you need your head checked.

Trump says Makary is out as FDA commissioner, following industry and White House backlash cnbc.com/2026/05/12/trump-fd…

RAKUTEN MAKES $1.1BN PROFIT ON THEIR AST SPACEMOBILE POSITION Rakuten invested $104m in the company, participating in two rounds which secured them 31,020,155 shares Now the trading plan has finished, they still hold 15,510,078 shares but have made 1,100% return🤯 $ASTS

Truly amazing. I’m upping my price target, from $ibrx 208/ share to 1,000 , making #immunitybio the first trillion dollar biotech in the world , by 2032 (Retweet for max sharing, is caring) 1) Video for prior price target: IBRX $208 Price Target: How to Discount $23B Revenue at 20x P/S youtu.be/eC2PUinHWgM 2) Video for 2027 explosion: IBRX Is About to Blow Up in 2027 – And the X-factor will surprise you! youtu.be/efvBVt2dOQw

My life story is worthy of a bestseller book. From the very beginning I have been supported by God through good people who came my way. The most recent example of that was when my husband was diagnosed with an aggressive cancer, and @DrPatrick and the @ImmunityBio team decided to support his treatment with ANKTIVA. But before we get to this in more detail, I would like to give you a bit of background on myself and my life. I come from Moldova, a small country in Europe. I was born with a progressive genetic disease, spinal muscular atrophy (SMA). When I was two, my mother abandoned me and I almost ended up in an orphanage. My father’s parents stepped in and took on the challenge of raising me. Thanks to their love and determination, I was able to earn two university degrees, found my own NGO back in Moldova, become a diplomat, serve on a mission in France, marry a loving husband, move to Vienna, Austria, and continue working in the international sphere while also becoming a life coach and blogger. All of this I achieved while being very physically dependent, not even able to lift a glass of water by myself. After my grandparents passed away, my husband became my only support and the one trusted person in this world. Throughout my entire journey, which was never easy or smooth, I have been carried forward by the kindness of people with good hearts who appeared exactly when I needed them most. When the latest big challenge hit with my husband’s diagnosis, Dr. Patrick did not remain indifferent. He extended his helping hand to us both and made ANKTIVA available for treatment. I am grateful beyond words. I look forward with faith to the treatment working well, and I believe we will continue to have a fulfilling life, albeit at times challenging, filled with purpose and the same quiet miracles that have guided me so far.​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​ @LoriMills4CA42 @RobertKennedyJr @DrMakaryFDA @newstart_2024 @seanspicershow @bullishbruk @ChrisCuomo @richadcock @jenni_jerread @drjamesbjoyce @WillingWitness @ChiayuChenMD @hubermanlab @seanspicer @joerogan @Acyn

I am the patient Dr Patrick is referring to. The treatment made all the difference. EPOCH R chemo failed. Radiation failed. CAR T failed. Dr Patrick’s Anktiva helped make my T cells and NK cells more effective. It is proven in my bloodwork. As my Lag3 and PD1 levels showed less T cell exhaustion, the tumor shrank and SUV reduced to remission levels

We're sharing our latest update, highlighting year-over-year revenue growth and financial metrics that support continued progress in our broader efforts. Access the full announcement: immunitybio.com/immunitybio-…

BREAKING: Amazon ‌reportedly in talks to buy $9 billion satellite company Globalstar.

$IBRX I’ve read and reread the FDA’s warning letter about ImmunityBio’s alleged “misleading statements” on Anktiva multiple times now, and something still doesn’t add up. It feels like the agency may have overstated the claims, stretched the interpretation, and come across as overzealous—potentially misleading the public in the process. Think about it. @DrPatrick @LoriMills4CA42

September 2009. Jensen Huang walks onto a small stage at the Fairmont hotel in San Jose. About 1,500 people are in the room. He runs a company that makes chips for video games. He spends the next 8 minutes doing math on a whiteboard, explaining why the future of computing won't come from making CPUs faster. He calls it "CEO math" and apologizes in advance to every computer science professor in the audience. Then he lays out an argument that almost nobody took seriously at the time: the way to make computers dramatically faster is to pair a regular CPU with hundreds of tiny parallel processors, the kind that already exist inside graphics cards. One CPU for the sequential stuff. Hundreds of GPU cores for everything else. He calls it "heterogeneous computing." He shows the math. A workload that can be split into many pieces at once gets up to 200x faster on this combined system. A workload that has to run one step at a time loses nothing. "The most important thing in creating a new architecture," he says, "is to make sure it does no harm." This was the first GPU Technology Conference. NVIDIA had launched a software platform called CUDA three years earlier, in 2006, to let developers write programs that run on graphics cards instead of just regular processors. Almost nobody cared. GPUs were for rendering Call of Duty, not for scientific computing. The academic world was polite but skeptical. The enterprise world ignored it entirely. By this point, Huang had been making this argument for years. NVIDIA was a $7 billion company. It competed with AMD and Intel for market share in the graphics market. That was the whole business. Jensen kept saying the GPU wasn't just a gaming chip; it was a computing platform. He kept saying parallel processing would reshape every industry from medicine to finance to physics simulations. People kept nodding, then doing nothing. Then deep learning happened. Around 2012, AI researchers discovered that training a neural network, which means teaching a computer to recognize patterns by running the same calculation millions of times across huge datasets, was exactly the kind of workload Jensen had been describing. GPUs can train AI models 10 to 50 times faster than CPUs. The architecture he outlined in this 2009 talk, with one CPU handling step-by-step tasks while hundreds of GPU cores crunch through massive amounts of parallel data, is now the literal blueprint for every AI data center on earth. ChatGPT runs on NVIDIA GPUs. Claude runs on NVIDIA GPUs. Gemini, Llama, Midjourney, nearly every major AI model you've heard of was trained on NVIDIA hardware using CUDA, the software platform Jensen built for a market that didn't exist yet. NVIDIA was worth about $7 billion when Jensen gave this talk. It is worth over $4.4 trillion today. That's a 600x increase. Jensen Huang, who founded the company at a Denny's in 1993 with two friends, now has a net worth of over $160 billion. He made Forbes' list of the 10 richest people for the first time this year. GTC 2026 is currently ongoing. 17,000 people are packing a hockey arena to watch the same guy explain what comes next. In 2009, 1,500 people showed up at a hotel ballroom, most of them for gaming graphics.