Evan Luthra
@EvanLuthra • 387,198 subscribers
3x Forbes 30 U 30 🚀 GP @KOLCapital💰 600+ Investments 🤝 Adventure Capitalist 🌏 100+ countries 🏛️ Minister of IT @Liberland_org 💻 AI Leader of The Year
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🚨ELON MUSK'S BROTHER SOLD HIS COMPANY FOR $307 MILLION AT 26.. THEN GAVE UP TECH COMPLETELY TO COOK FOR FIREFIGHTERS IN THE RUBBLE OF 9/11.. THIS IS THE MUSK NOBODY TALKS ABOUT.. Most people only know Kimbal Musk as Elon's younger brother.. But his actual life path makes almost no sense on paper.. In 1989, at 17, he left South Africa for Canada with almost no money.. He paid his way through university running a house-painting franchise.. And won manager of the year doing it.. Then in 1995 he moved to Palo Alto with Elon and they started Zip2.. An online city guide and mapping company, years before Google Maps existed.. They were broke.. They slept on the office floor and showered at the local gym.. To impress investors, they built a giant fake casing around a normal PC to make it look like a supercomputer.. In 1999 Compaq bought Zip2 for $307 million.. Kimbal, at 26, walked away with around $22 million.. He could have done anything.. Retired.. Started another tech company.. Coasted on the PayPal and Tesla fortunes that were coming.. Instead he enrolled in culinary school in New York to become a chef.. His timing was brutal.. He graduated in 2001.. Right as 9/11 happened.. He lived steps from the World Trade Center.. So he grabbed his new skills and spent six weeks cooking for firefighters and rescue workers at Ground Zero.. 10 to 12 hour days in the wreckage.. Feeding the people pulling bodies from the rubble.. He said that experience changed everything.. Watching exhausted workers find comfort in a shared meal convinced him that food was his actual life's purpose.. He moved to Colorado and started building farm-to-table restaurants that sourced straight from local farmers.. Then in 2010 came the second turning point.. He broke his neck in a tubing accident and was temporarily paralyzed for three days.. He called it a near-death experience.. And it pushed him even harder into his mission.. He started a nonprofit that built outdoor learning gardens in hundreds of underserved schools.. Reaching hundreds of thousands of kids.. He co-founded an urban farming company growing food inside shipping containers in cities.. Each one producing the equivalent of two acres of farmland.. And then in 2022 he did the strangest pivot yet.. When Intel decided to shut down its light-drone division, Kimbal bought the whole thing.. 9,000 drones and the engineering team.. Now his company flies massive drone shows that act as pixels in the sky.. Including over 3,000 drones above St. Peter's Basilica at the Vatican.. Recreating Renaissance art in the night sky.. One brother is trying to colonize Mars and build humanoid robots.. The other made his fortune in the same rooms.. Then spent the next 25 years on something almost nobody expected.. Feeding people, teaching kids to grow food, and turning the sky into art.. Same beginning.. Completely different definition of what to do with a fortune.
Evan Luthra1,098,331 görüntüleme • 2 ay önce
Every time you accepted a salary, chose a price, or walked into a negotiation, the other person was running GAME THEORY in their head. You were guessing. This 1-hour Yale lecture by Professor Ben Polak will permanently change how you read people and make decisions. Most MBAs pay $150k to learn this. Yale posted it for free:
Evan Luthra1,660,110 görüntüleme • 4 ay önce
🚨PERPLEXITY JUST LAUNCHED SOMETHING THAT MAKES EVERY OTHER AI PRODUCT LOOK LIKE A TOY.. AND NOBODY IS TALKING ABOUT IT.. They built a Personal Computer.. Not an app.. Not a chatbot.. A full digital worker that runs 24/7 on a Mac mini even while you sleep.. You press both command keys.. And it wakes up.. Ready to work.. But here's where it gets insane.. This thing doesn't run on one AI model.. It runs on 19 of them.. At the same time.. It uses Claude Opus for complex reasoning.. Gemini 3.1 Pro for deep research with a 2 million token context window.. Nano Banana Pro for 4K images.. Grok for fast tasks.. It doesn't just pick one model and hope for the best.. It reads your task.. Breaks it into subtasks.. And routes each one to whichever model is best at that specific thing.. All running in parallel.. While ChatGPT is still thinking about your first question.. Perplexity has already split your project into 6 pieces and assigned each one to a different AI.. And here's the part that should worry OpenAI.. Perplexity hallucinates at 3.3%.. ChatGPT hallucinates at 12%.. Claude at 15%.. It's not even close.. Because Perplexity is built differently.. Every other AI tries to remember facts.. Perplexity searches for them first.. It's structurally forced to cite live sources before it's even allowed to generate a response.. OpenAI Operator launched with a 32.6% success rate on computer-use tasks.. People called it "the world's most anxious intern" because it pauses every 5 seconds to ask if it's doing the right thing.. Perplexity runs multi-hour and multi-day workflows independently.. Only interrupts you when it hits a decision that actually matters.. You can start a task from your iPhone on the train.. And it executes on your Mac mini at home.. The economics are wild too.. Internal studies show it saved teams an average of $1.6 million in labor costs.. Performing 3.25 years of work in four weeks.. And unlike every other AI company.. Perplexity dropped ads entirely.. They charge $200 a month because they said they're in the "accuracy business".. Not the advertising business.. They even launched a $42.5 million publisher program to pay media partners when their content gets cited.. While OpenAI is getting sued by every newspaper on earth.. Google and OpenAI want you locked into their ecosystem.. If a better model comes out tomorrow you're stuck.. Perplexity just updates its routing matrix.. You get the best model on earth automatically.. No switching.. No migrations.. No friction.. This isn't an AI assistant anymore.. This is the first real AI employee.. And it costs $200 a month.
Evan Luthra1,097,697 görüntüleme • 4 ay önce
🚨A 25 YEAR OLD BUILT THE FASTEST GROWING SOFTWARE COMPANY IN HISTORY.. WITH ZERO MARKETING SPEND.. AND SPACEX JUST OFFERED $60 BILLION TO BUY IT.. His name is Michael Truell.. He started coding at 11.. Interned at Google at 18.. Dropped out of MIT to start a company that built AI tools for mechanical engineering.. That company failed.. So he pivoted.. And built Cursor.. An AI-powered code editor that writes software for you.. Here's how fast it grew.. $100 million in annual revenue in 12 months.. Fastest in SaaS history.. Broke every record ever set by Slack, Zoom, and Wiz.. $500 million by month 21.. $1 billion by November 2025.. $2 billion by February 2026.. Projected to hit $6 billion by end of year.. Zero marketing spend.. Not a single dollar.. Pure word of mouth from developers who couldn't stop talking about it.. Over 1 billion lines of code accepted per day.. Used by 70% of Fortune 1000 companies.. Every single one of Nvidia's 40,000 engineers uses it.. Coinbase hit 100% adoption among their developers.. And he did this with a team of four MIT co-founders.. One of them was a three-time International Math Olympiad competitor from Pakistan.. Another was a college squash captain with zero startup experience who built the entire product strategy.. They spent zero on sales.. Zero on ads.. Zero on growth hacking.. The product sold itself.. But here's where the story takes a turn nobody expected.. Even at $50 billion valuation.. Even generating billions in revenue.. They hit a wall.. Not a market wall.. A physics wall.. They couldn't get enough GPUs to train their next AI model.. The physical chips didn't exist in sufficient quantities for them to buy.. Money couldn't solve the problem.. Enter Elon Musk.. On April 21.. SpaceX announced a deal to potentially acquire Cursor for $60 billion.. The largest acquisition option in tech history.. The structure is insane.. SpaceX gives Cursor immediate access to Colossus.. xAI's supercomputer equivalent to one million Nvidia H100 GPUs.. For nine months of joint development.. At the end.. SpaceX can buy the company for $60 billion.. If they don't buy it.. They owe Cursor a $10 billion breakup fee.. The largest breakup fee in corporate history.. Think about what that means for Cursor.. Either they get acquired for $60 billion.. Or they walk away with $10 billion in cash and nine months of free training on the most powerful supercomputer on earth.. There is no losing scenario.. And here's why Musk wants it.. SpaceX is preparing for an IPO at $1.75 trillion.. The biggest IPO ever.. But aerospace alone can't justify that number.. By merging xAI into SpaceX.. And now acquiring Cursor.. Musk transforms SpaceX from a rocket company into an AI empire that owns the compute, the models, and the developer tools.. Cursor is the missing piece.. The application layer that puts xAI's models into the daily workflow of every Fortune 500 engineering team.. Oh and one more thing.. In 2022.. FTX's trading firm Alameda Research made a seed investment in Cursor.. During the FTX bankruptcy.. Liquidators sold that stake for $200,000.. That stake is now worth approximately $3 billion.. Sam Bankman-Fried called it the worst liquidation decision in venture capital history.. From a prison cell.. A failed mechanical engineering startup.. Pivoted by four kids from MIT.. Zero marketing.. Zero sales team.. Built the fastest growing software company in history.. And now SpaceX is writing a $60 billion check for it.. This is the most insane founder story in Silicon Valley history.. And most people haven't even heard of Michael Truell.
Evan Luthra989,346 görüntüleme • 4 ay önce
🚨 Do you understand what SCAM ALTMAN has been doing? He made a crypto called Worldcoin that scans your eyeballs with a metal orb in exchange for tokens. The token hit $11.74 in 2024. Today $WLD is $0.28. Down 97%. His foundation dumped $65 million worth last week at $0.27 each. In Kenya they found the project exploiting extreme poverty to get people to scan their eyes for worthless crypto. In Berlin gangs were forcing homeless people and refugees to get scanned so they could pocket the rewards. Thailand raided a site and ordered 1.2 million scans deleted. Spain, Portugal, Hong Kong, Germany all banned or investigating. Snowden warned everyone. They say they delete the scans. They don't. They keep the digital fingerprint of your eyes forever in a privately owned database. In 2015 Elon Musk gave $38 million to co-found OpenAI with Altman. The deal was clear. Keep it nonprofit. Keep it open source. Build AI for humanity. Altman took the money. Turned it into a closed source for-profit company valued at $840 billion. Microsoft got 27%. Musk didn't see a dollar. Musk tried buying it back for $97.4 billion. Altman said on camera "no thank you but we will buy twitter for $9.74 billion." Asked about Musk in an interview he said "his whole life is from a position of insecurity. I don't think he's a happy person." Called the lawsuit "this week's episode." He's also investing in his own chip company that sells chips to OpenAI. Investing in energy companies that power OpenAI. Buying from himself. Musk filed a $134 billion lawsuit. Most people called him jealous. Then his lawyers found the personal diary of Greg Brockman, one of the original OpenAI co-founders. A 2017 entry reads "I cannot believe that we committed to non-profit if three months later we're doing b-corp then it was a lie." He admitted the nonprofit promise was never real. Two years before they officially went for-profit. The judge said there's "ample evidence." Sent it to a jury. Trial starts April 27. Musk said he'll donate every dollar to charity. Altman laughed on camera. Called Musk insecure. Called the lawsuit a joke. His own co-founder's diary says the nonprofit was never real. A jury decides in 28 days. Let's see who's laughing after the verdict.
Evan Luthra823,903 görüntüleme • 5 ay önce
🚨ANTHROPIC'S FOUNDER JUST PREDICTED THAT AI WILL DOUBLE HUMAN LIFESPAN TO 150 YEARS.. CURE MOST CANCER.. AND ELIMINATE POVERTY.. ALL WITHIN 10 YEARS.. AND HE'S NOT EVEN THE OPTIMISTIC ONE.. Everyone thinks Dario Amodei is the guy who wants to slow AI down.. The cautious one.. The safety guy.. He just published an essay predicting what happens if AI goes right.. And it reads like science fiction.. Except he's dead serious.. And he has the credentials to back every word.. Here's what he thinks happens in the next 5 to 10 years.. Nearly all infectious disease.. Prevented or cured.. mRNA vaccines already showed us the path.. AI finishes the job.. Most cancer.. Eliminated.. Not just treated.. 95% or greater reduction in both deaths and new cases.. AI designs treatment regimens tailored to the individual genome of each tumor.. Something that's technically possible today but takes enormous human expertise to do.. AI scales it to everyone.. Alzheimer's.. Solved.. He thinks it's exactly the type of problem AI can crack.. Because it requires better measurement tools to isolate what's actually happening in the brain.. Once we understand it.. Prevention will probably be surprisingly simple.. Genetic disease.. Most of it preventable through improved embryo screening.. And curable in living people through safer descendants of CRISPR.. Most mental illness.. Cured.. Depression.. PTSD.. Addiction.. Schizophrenia.. He believes the answer is some combination of biochemistry and neural network-level problems that AI can untangle.. And here's the line that stopped me.. Human lifespan.. Doubled.. To 150 years.. He points out that life expectancy already doubled in the 20th century.. From 40 to 75.. So doubling it again is "on trend".. Drugs already exist that increase maximum lifespan in rats by 25 to 50%.. Some turtles already live 200 years.. We're clearly not at a biological ceiling.. He calls this the "compressed 21st century".. The idea that AI gives us 100 years of biological progress in 5 to 10 years.. But he doesn't stop at health.. He thinks AI could drive 20% annual GDP growth in the developing world.. Bringing sub-Saharan Africa to China's current GDP per capita within a decade.. He thinks AI could eradicate malaria not through treating millions of people individually.. But by releasing modified mosquitoes that block the disease at the source.. One centralized action instead of a million.. He thinks AI could make democracy structurally stronger.. Not through propaganda.. But by giving every citizen an AI that knows every law they're entitled to.. Every benefit they qualify for.. Every right they have.. And helps them actually access it.. He imagines AI that monitors judicial systems for bias.. AI that helps find common ground between opposing political views.. AI that makes government services actually work the way they're supposed to.. And he addresses the question everyone asks.. What happens to meaning when AI can do everything.. His answer.. Most people aren't the best in the world at anything right now.. And it doesn't bother them.. Meaning comes from relationships and connection.. Not economic productivity.. People will still pursue difficult challenges.. Still compete.. Still create.. The fact that an AI could theoretically do it better won't matter any more than it matters that someone somewhere is already better than you at every hobby you have.. But here's what makes this essay different from every other AI optimism piece.. Dario Amodei runs one of the three most powerful AI companies on earth.. He has a PhD in computational neuroscience.. He personally worked on mass spectrometry and neural probes.. He's not a pundit.. He's a scientist who happens to be a CEO.. And the same man who publicly says there's a 25% chance AI causes human extinction.. Is also saying that if we get it right.. We cure nearly every disease.. Double human lifespan.. Eliminate most poverty.. And fundamentally transform what it means to be alive.. Both things are true at the same time.. That's what makes this the most important essay anyone in AI has written this year.. He ends with this.. "I think many will be literally moved to tears by it".. He's talking about watching disease disappear.. Poverty dissolve.. Human potential unlock all at once.. Not in a century.. In a decade.. If we get it right.
Evan Luthra476,988 görüntüleme • 4 ay önce
Beautiful and amazing property! 📍Villa Padierna Palace Hotel
Evan Luthra43,866 görüntüleme • 21 gün önce
At 14, his family went bankrupt and lost their home. At 15, he was a delivery boy selling pirated CDs to survive. He picked a philosophy degree for one reason: classes ended by 10am, so he could work the rest of the day. No IIT. No MBA (he dropped out). No safety net. Then he built FreeCharge and sold it for $400M. Then he built CRED into a $4.5B company, processing 40% of India's credit card bills, while paying himself 15k a month. Today Kunal Shah runs WhatsApp. 3 billion users. One kid from a broke Mumbai household now leads the most used app on Earth. Congratulations Kunal. Proof that where you start has nothing to do with where you finish.
Evan Luthra127,690 görüntüleme • 2 ay önce
Most notes die the moment you save them. Karpathy’s workflow, paired with Obsidian and Claude Code, turns them into a living knowledge base you can actually use. Instead of digging through thousands of forgotten notes, you get an AI-powered second brain that remembers, connects, and surfaces exactly what you need.
Evan Luthra64,706 görüntüleme • 1 ay önce
Anthropic just changed how they think about Claude 5. Not with a new model. Not with a benchmark. With a completely different philosophy for building AI systems. Most people will miss it. They're still trying to write better prompts. Anthropic is optimizing something else entirely: Context. Here's what every AI builder should learn from it: 1. Stop telling AI exactly what to do. Start telling it what success looks like. Older models needed rigid instructions. Newer models perform better when you define the objective and let them make the decisions. The goal is no longer more control. It's more clarity. 2. Context is a budget, not a storage unit. Every extra sentence competes for the model's attention. A massive context file doesn't make AI smarter. It often makes reasoning worse. The best systems don't load everything. They load only what's relevant. 3. Great tools beat great prompts. Most people spend hours tweaking prompt wording. Anthropic is investing in better interfaces instead. Clear parameters. Structured inputs. Well-designed tools. If the interface removes ambiguity, the model makes better decisions before it even starts reasoning. 4. Show reality instead of describing it. Want a specific coding style? Provide the codebase. Want a certain design language? Share the mockup. Want consistent outputs? Give it tests to satisfy. Concrete references consistently outperform long written instructions. 5. Deliver information when it's needed. Not everything belongs in the initial context. Documentation. Style guides. Verification. Reviews. Load them only when they're relevant. Think of context like RAM, not a hard drive. 6. The real advantage is system design. Prompt engineering isn't disappearing. It's becoming one small part of a much bigger stack. Memory. Retrieval. Context architecture. Tool design. Evaluation. Every improvement compounds. The biggest takeaway from Anthropic's update? The next generation of AI won't be won by the people writing the longest prompts. It'll be won by the people building the smartest systems. Same models. Completely different results.
Evan Luthra38,751 görüntüleme • 1 ay önce
🚨APPLE SPENT 5 YEARS AND BILLIONS OF DOLLARS BUILDING THE MOST ADVANCED SECURITY SYSTEM IN CONSUMER HISTORY.. AN AI BROKE IT IN 5 DAYS.. Here’s what just happened.. Apple built something called Memory Integrity Enforcement for its new M5 chips.. It’s a hardware-level security system that attaches secret cryptographic tags to every piece of memory.. If a hacker tries to access memory they shouldn’t.. The chip blocks it instantly.. Every known exploit chain against iOS and macOS was rendered obsolete overnight.. Apple said so themselves.. Then a small team at a cybersecurity firm called Calif used Anthropic’s unreleased Claude Mythos Preview to find vulnerabilities in the macOS kernel.. The AI found the bugs almost instantly.. Because once it learned the pattern of a specific type of flaw.. It could recognize every other flaw in that same class across the entire codebase.. What used to take elite security teams months.. The AI did in hours.. Within 5 days.. The team had a fully working exploit that escalated a basic user account to full root access on an M5 Mac running the latest macOS.. With MIE fully enabled.. The billion-dollar hardware defense running at full strength.. The trick.. They didn’t fight the hardware.. They went around it.. MIE is designed to catch memory corruption.. Hackers trying to overwrite pointers or inject code.. The team used a “data-only” approach instead.. They manipulated legitimate data structures the hardware was never designed to monitor.. Like changing an internal flag from “standard user” to “admin”.. The chip saw a perfectly normal operation.. The operating system obeyed.. And the attacker had total control.. The hardware thought everything was fine.. Because technically it was.. The exploit never triggered a single tag mismatch.. They walked into Apple Park and hand-delivered a 55-page report.. Apple patched it in macOS 26.5.. And for the first time ever.. Apple’s official security advisory credited the vulnerability discovery to “Calif dot io in collaboration with Claude and Anthropic Research”.. An AI is now credited in Apple’s CVE patches.. But here’s what makes this story truly terrifying.. Before MIE existed.. An exploit kit called DarkSword was hitting iPhones with zero-click attacks.. Six vulnerabilities chained together.. Total device control just from visiting a webpage.. Deployed by Russian espionage groups, Turkish surveillance vendors, and actors in Saudi Arabia.. Then it got leaked on GitHub.. Nation-state capabilities.. Free for anyone.. MIE was supposed to make all of that impossible.. And an AI found a way around it in 5 days.. The previous model.. Claude Opus 4.6.. Found 22 security bugs in the Firefox codebase.. Claude Mythos Preview found 271 in the same environment.. A tenfold increase.. Linux kernel CVEs jumped from 300 per year to over 5,500.. Largely driven by AI-powered vulnerability research.. The IMF designated Claude Mythos as a systemic financial stability risk.. Because if an AI finds a flaw in software used by every major bank simultaneously.. It could trigger a cascading financial crisis.. Anthropic knew this was coming.. That’s why they didn’t release the model publicly.. Instead they launched Project Glasswing.. Giving defensive access to AWS, Apple, Google, Microsoft, Nvidia, CrowdStrike, JPMorgan, and others.. $100 million in usage credits.. So defenders can scan their own systems before attackers get this capability.. The Pentagon blacklisted Anthropic over autonomous weapons.. Then quietly started using Mythos to harden government systems anyway.. The cybersecurity arms race just changed permanently.. Hardware can’t save you.. Software can’t save you.. The only defense against an AI that finds vulnerabilities is another AI that finds them first.. Five years and billions of dollars.. Five days and one AI.
Evan Luthra91,160 görüntüleme • 3 ay önce
Kevin called the #BNB token worthless. 😱 CZ 🔶 BNB what's your take on this⁉️ #Binance
Evan Luthra754,117 görüntüleme • 3 yıl önce
🚨RESEARCHERS BUILT A VIRTUAL CITY WHERE UP TO 1 MILLION AI AGENTS WAKE UP, COMMUTE, WORK, EAT, AND SOCIALIZE.. AND THEIR FAKE LIVES MATCH REAL HUMAN DATA SO CLOSELY THEY CAN PREDICT ACTUAL CROWDS IN TOKYO.. THE SIMULATION ERA HAS OFFICIALLY ARRIVED.. The system is called CitySim.. And it's the closest thing to Westworld that actually exists.. Here's how it works.. Every AI agent gets a full identity.. A personality built on the Big Five traits.. An age, a job, a home and workplace assigned from real map data.. Matched to actual census statistics so the population mirrors a real city.. Then they're set loose to live.. Each agent has needs.. Hunger, energy, safety, social connection.. When hunger drops too low, it interrupts what it's doing and finds food.. When it's isolated too long, it seeks out friends.. It plans its day in 5-minute blocks, the same resolution real humans report their routines in.. And at the end of every day, each agent reflects on what happened and writes insights about itself.. "I prefer evening study sessions".. It builds self-knowledge from its own memories, day after day.. They form long-term goals.. And revise them after major life events.. Financial stress counts as income falling below expenses.. Loneliness counts as fewer than 3 unique contacts in a week.. Now here's where it gets uncanny.. The researchers compared the agents' lives to real human data.. The simulated city's daily rhythms matched Japan's national time-use survey almost exactly.. Work, sleep, meals, leisure.. Age group by age group.. The agents' commute patterns reproduced real weekday rush hours and weekend leisure waves.. Then they aggregated where agents chose to go in a simulated Shibuya.. And compared it against real crowd density from actual smartphone location data.. The heatmaps line up.. The AI crowd gathers at the same transit hubs and commercial streets as real Tokyo pedestrians.. It gets stranger.. They gave the agents wellbeing surveys.. The same questionnaires used on 1,200 real people in Japan.. The agents' answers tracked the real population's.. And when GPT-4o was asked to judge whether behavior logs came from humans or AI.. CitySim agents were rated more human-like than every rival system, winning up to 85% of head-to-head comparisons.. Other agent systems got flagged for "suspicions of AI involvement" because their routines were too rigid.. These didn't.. The practical uses are massive.. City planners testing policies on a synthetic population before trying them on real people.. Businesses predicting which locations will attract crowds.. Event managers forecasting congestion.. A/B testing reality itself.. But step back and the bigger picture is wild.. We now have software people who wake up, get hungry, go to work, feel lonely, pursue goals, and reflect on their lives every night.. And their collective behavior is so human that it predicts what real cities will do.. The question isn't whether we can simulate society anymore.. It's what we do with a copy of one.
Evan Luthra34,639 görüntüleme • 1 ay önce