Tryndamere

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Tryndamere

Tryndamere

@MarcMerrill

Gamer soul w/ adult responsibilities. Co-founder, Co-Chair & CPO @riotgames Co-creator of @leagueoflegends. Co-Chair of @uniteamerica

Los Angeles شامل ہوئے Mart 2009
847 فالونگ124.8K فالوورز
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Zecurso
Zecurso@Zecurso·
Ironically Valorant is the only game that take advantage of Jynxzi's power, actually farming his clips.
VALORANT@VALORANT

GOOD AIM

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League of Legends FR
League of Legends FR@LoL_France·
Joyeuse Saint-Patrick à ceux qui la fêteront ! 🍻
League of Legends FR tweet media
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Tryndamere
Tryndamere@MarcMerrill·
Excited for players to see what is coming in @PlayRiftbound 's #RBUnleashed. We saw Baron Nashor last week and more previews for the new set are happening now through the 26th! You can dive into the set more at PlayRiftbound.com
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sui ☄️
sui ☄️@birdabo·
this story is absolutely insane 🤯 > tech guy with zero biology background. > his dog got terminal cancer. > vets said 1 - 6 months left. > bro said nah not on my watch. > asked ChatGPT for a treatment plan. > sequenced tumor DNA for $3k. > used AlphaFold AI to model mutated proteins. > designed world’s first personalized mRNA vaccine for a dog. > partnered with universities to synthesize it. > ethics approval took 3 months. > vaccine design took 2 months. > first injection December 2025. > tumors shrank 75% within weeks. > dog happy. > universities confirmed it worked. > now designing version 2 for remaining tumor. AI + a guy determined to save his dog just outperformed the pharma industry 💀 the cure for cancer will be open source.
vittorio@IterIntellectus

this is actually insane > be tech guy in australia > adopt cancer riddled rescue dog, months to live > not_going_to_give_you_up.mp4 > pay $3,000 to sequence her tumor DNA > feed it to ChatGPT and AlphaFold > zero background in biology > identify mutated proteins, match them to drug targets > design a custom mRNA cancer vaccine from scratch > genomics professor is “gobsmacked” that some puppy lover did this on his own > need ethics approval to administer it > red tape takes longer than designing the vaccine > 3 months, finally approved > drive 10 hours to get rosie her first injection > tumor halves > coat gets glossy again > dog is alive and happy > professor: “if we can do this for a dog, why aren’t we rolling this out to humans?” one man with a chatbot, and $3,000 just outperformed the entire pharmaceutical discovery pipeline. we are going to cure so many diseases. I dont think people realize how good things are going to get

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VALORANT
VALORANT@VALORANT·
So, ready to make some noise?
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Dustin
Dustin@r0ck3t23·
Elon Musk just described the terminal state of the global financial system. The banking sector is obsessed with fiat currency. Superintelligence won’t even recognize it. Musk: “I think money will stop being relevant at some point in the future. I think the AI will not use human currency. It will just care about power and mass, wattage and tonnage.” You can’t bribe an algorithm with digital dollars. The operators controlling the next era won’t be the ones hoarding cash. They’ll be the ones commanding raw energy generation and physical material. The global economy is transitioning from fiat to thermodynamics. If your portfolio isn’t anchored in power and mass, your capital is already obsolete. Musk: “It just represents some percentage ownership in companies that I’ve built. And it’s not like sitting in a bank account. It’s just literally I own a percentage of companies. The companies are doing lots of useful things.” The general public thinks billionaires hoard massive piles of cash in a vault. They don’t. Massive wealth is the mathematical byproduct of owning infrastructure that keeps civilization running. Cash sitting in an account is a depreciating liability. The only real leverage is equity in systems that are actively solving bottlenecks at scale. Capital sitting idle isn’t safe. It’s bleeding. Peter Diamandis: “Elon’s driven to solve problems. He’s driven to make life in the world better by just solving the biggest problems over and over and over again. And if someone else were solving them, he wouldn’t need to. But no one else is solving them.” You don’t achieve trillion-dollar scale by optimizing for a higher salary. You achieve it by hunting the largest friction points on the planet and engineering them out of existence. The market doesn’t compensate you for your time. It compensates you in direct proportion to the size of the problem you delete from the board. Don’t build a company to extract money. Accumulate resources to fund the execution loop until the friction is completely gone. And once AI measures value purely in physics, the entire concept of wealth as we understand it evaporates. Who controls the energy. Who controls the materials. Who controls the infrastructure. Everything else is just numbers on a screen.
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Andrew Kang
Andrew Kang@Rewkang·
Researchers trained a humanoid robot to play tennis using only 5 hours of motion capture data The robot can now sustain multi-shot rallies with human players, hitting balls traveling >15 m/s with a ~90% success rate AlphaGo for every sport is coming
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Bari Weiss
Bari Weiss@bariweiss·
Incredible investigation today from @CBSNews. Our reporters visited "ground zero" for hospice fraud: Los Angeles, California. One building had 89 registered hospices . . . Read it here: cbsnews.com/projects/2026/…
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Marc Andreessen 🇺🇸
My information consumption is now 1/4 X, 1/4 podcast interviews of the smartest practitioners, 1/4 talking to the leading AI models, and 1/4 reading old books. The opportunity cost of anything else is far too high, and rising daily.
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Rohit Mittal
Rohit Mittal@rohitdotmittal·
PG’s essays are the holy grail of building startups and living a good life. My favorite lessons from Paul Graham's essays: 1. make something people want - YC motto, repeated endlessly 2. do things that don't scale - manual onboarding, white glove everything early 3. talk to users - then write code, repeat forever 4. default alive vs default dead - only metric that matters for survival 5. relentlessly resourceful - defining founder trait 6. schlep blindness - missing hard but valuable ideas because tedious 7. live in the future then build what's missing - how to get startup ideas 8. determined founders - pivots don't kill startups, founders giving up does 9. frighteningly ambitious - best ideas seem crazy initially 10. organic startup ideas - notice problems naturally not forced brainstorming 11. ramen profitable - enough revenue to pay founders' living expenses 12. work on what interests you - can't fake passion for 7 years 13. startups = growth - defines what makes company a startup 14. write code and talk to users - nothing else matters pre product-market fit 15. keep your burn rate low - gives you more at-bats *I took these from my notes and recall them mentioned by PG either in his essays or I heard from him in his talks. A few words may be paraphrased.
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Dustin
Dustin@r0ck3t23·
Jeff Bezos just identified the most expensive bureaucratic failure in the American economy. It fits in one sentence. Bezos: “Why does it take months and months and months to get a building permit? It doesn’t make any sense.” It doesn’t make any sense because a building code is not a judgment call. It is an algorithm. And algorithms should be executed by machines. Bezos: “Miami should have an AI application that reads your building permit for a new house or a new building and it should give you a yes or a no in ten seconds.” Ten seconds. Not three months. Not six weeks. Not whenever the reviewer clears their backlog. Bezos: “If the answer is no, it should tell you the six things you have to change to get a yes.” No ambiguity. No interpretation. No bureaucratic delay dressed up as due diligence. Just a deterministic feedback loop compressing months of institutional friction into a single automated decision. We are competing against sovereign adversaries deploying gigawatt data centers and scaling physical infrastructure at a pace that does not stop to ask permission. And we are losing ground to countries that never needed to. The AI arms race is not only fought in data centers. It is fought in the gap between when someone decides to build something and when the government allows it. Every month this system runs on biological speed is a month that cannot be recovered. The governments that integrate AI into their core civic functions will trigger a wave of physical development the old world could never produce. The ones that refuse will still be reviewing the same forms a decade from now. While the cities that said yes are already living inside the future they built. The bottleneck was never ambition. It was always the man holding the rubber stamp deciding when ambition was allowed to begin. And the stamp is just a rubber version of the algorithm that should have been running this whole time.
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Robby Starbuck
Robby Starbuck@robbystarbuck·
Homeschooled kids are going to run America in 10-15 years and really that means they’ll run the world. 80% of the homeschool kids I’ve come across are light years head of their peers in public and private school. Way more curious, thoughtful and well read. Incredible shift.
Mark Quann@markjquann

Something fascinating is happening in education right now. I recently went down a rabbit hole researching homeschooling, and the data is fascinating. Research from the National Home Education Research Institute shows homeschool students typically score 15–25 percentile points higher on standardized tests, and about 78% of peer-reviewed studies show homeschool students outperforming traditional school students academically. But what really surprised me was seeing it firsthand. I recently ran a financial literacy course through Classical Learner, and I was blown away by the students. One 14 year old was running a business with nine employees. And I began teaching a 9 year old the Buy Borrow Die strategy. Can you imagine learning a strategy used by billionaire families to build wealth… at age nine? What I saw with these homeschool students is that they weren’t memorizing facts for a test. They were thinking, building, and solving real problems. This ties directly into neuroplasticity, the brain’s ability to rewire itself during childhood based on experience and learning environments. Research from Harvard University, Stanford University, and MIT shows that learning environments focused on problem solving and curiosity produce stronger long-term outcomes than education built primarily around memorization. Which leads to a simple observation. Students raised in environments that encourage independent thinking, entrepreneurship, and curiosity develop skills that compound over time. And that creates a massive competitive advantage for life. The great news for America is that roughly 7.8% of American children are now being homeschooled, and that number continues to rise as families look for education that prioritizes curiosity, entrepreneurship, and independent thinking. Learn more👇 @ClassicLearner

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chiefofautism
chiefofautism@chiefofautism·
someone connected LIVING BRAIN CELLS to an LLM Cortical Labs grew 200,000 human neurons in a lab and kept them alive on a silicon chip, they taught the neurons to play Pong, then DOOM now someone wired them into a LLM... real brain cells firing electrical impulses to choose every token the AI generates you can see which channels were stimulated, the feedback from the neurons in choosing that letter or word
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Dustin
Dustin@r0ck3t23·
Bill Gurley just identified the only career advantage that AI cannot commoditize. It isn’t talent. It isn’t your degree. It isn’t your network. Gurley: “The thing that will differentiate you more in your career than anything else is to be the most hyper curious person that’s trying to do this thing.” For centuries, knowledge was gatekept. Elite institutions. Expensive mentors. Geographic luck. The information existed but access to it was the moat. That moat is gone. Gurley: “You have no excuse not to be the most knowledgeable person, because the information’s all out there.” Every question you can formulate now has an answer available instantly. Every industry. Every domain. Every skill you want to acquire. The playing field didn’t just level. It inverted. The people who used to win by controlling access to information now compete against anyone willing to ask better questions. Gurley: “I can’t make you the most talented person in your company or your field.” Talent is genetic. It’s luck. It’s the variable you cannot control. But knowledge is a choice. And curiosity is a compounding asset. Gurley: “If you are the most curious person that’s constantly learning in your field, you will do extremely well.” This was always true. What changed is the multiplier. Gurley: “That advantage is put on steroids with these AI tools.” A relentlessly curious person with access to all human knowledge and the ability to interrogate it in real time doesn’t just outlearn their peers. They outlearn entire institutions. The gap between the curious and the incurious was always there. AI just made it insurmountable.
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