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50 Sites That Show What Billionaires Buy and Read for Free🤯 1.) → Current portfolios of famous investors 2.) → Quarterly fund trades 3.) → Stock transactions of US politicians 4.) → Executives' own company stocks 5.) → Making fund filings readable 6.) → Companies' official reports 7.) → Buffett's letters since 1977 8.) → Video archive of Buffett meetings 9.) → Howard Marks' investor memos 10.) → Research from Ray Dalio's firm 11.) → Dalio's principles for free 12.) → Jeremy Grantham's market notes 13.) → Quantitative fund research 14.) → Damodaran's valuation data 15.) → Valuation professor's blog 16.) → Morgan Housel's money writings 17.) → Mental models for decision-making 18.) → JPMorgan's free market guide 19.) → Innovation-focused fund research 20.) → Venture capital essays 21.) → Value investing lecture notes 22.) → Columbia's value investing archive 23.) → Fed's economic data archive 24.) → Fed decisions and statements 25.) → European Central Bank data 26.) → Reports from the central bank of central banks 27.) → Countries' economic indicators 28.) → Companies' long-term charts 29.) → Company financials for free 30.) → Companies' market cap rankings 31.) → Stock screener and heat map 32.) → Portfolio backtesting 33.) → Charts and market analysis 34.) → Professional market screener 35.) → Company activity reports archive 36.) → SEC's investor education site 37.) → Passive investing encyclopedia 38.) → Financial terms dictionary 39.) → Free finance guides 40.) → CFA research publications 41.) → Fund and stock evaluations 42.) → Companies' visual analysis 43.) → Archive of selected investment theses 44.) → Seeing what's inside funds 45.) → European fund backtests 46.) → Investment writings with data 47.) → Market history notes 48.) → Investor psychology writings 49.) → Explaining the economy with charts 50.) ourfiniteworld? → (see note) The rich don't hoard information. They just don't tell you where it is. Save it, follow @Liyana_Coder you'll need it. Not investment advice. @Liyana_Coder

Boca Chica Beach is not for sale, and SpaceX isn’t attempting to buy it. The beach is an important part of the Rio Grande Valley community, and SpaceX is investing substantial resources to preserve and improve it →

Everyone believes CUDA is NVIDIA's moat, the reason we've maintained our dominance in the AI era. I've never believed that. NVIDIA has only one true moat: its people. And the most important of them is Jensen Huang. I've worked on CUDA compilers, libraries, and DSLs for eight years, from Volta to Rubin. I think I've earned the right to share my perspective on what NVIDIA's moat really is. I hope you'll bear with me. 1. What is CUDA? Many people think CUDA is just a programming language and its compiler, and that NVIDIA's moat comes from the massive amount of software written in CUDA, making it impossible for developers to leave NVIDIA GPUs. This is completely wrong. It's an incredibly naive understanding of CUDA. To me, CUDA is everything NVIDIA does. CUDA isn't just a language, software, or hardware architecture. It's a product defined by a unique customer experience. When you find GPU programming too difficult, CUDA gives you an easier way. When your GPU code isn't fast enough, NVIDIA engineers respond and help you solve it. When a handful of GPUs can no longer push your technology forward, NVIDIA has already scaled its computing platform from desktops to massive data centers. When you need more data centers than anyone else can supply, NVIDIA has already secured wafer and HBM capacity years in advance to meet your demand. That experience is CUDA. It's made possible by the relentless, day-to-day work of everyone at NVIDIA. And the person who brings all these people together, who gives them a shared vision and purpose, is Jensen Huang. 2. What made CUDA possible? Patience. Perseverance. An unwavering commitment to a vision. Around 2006, NVIDIA bet that the future would demand far more computing power, and began transforming GPUs from graphics processors into a platform for general-purpose computing. Initially, it was a commercial disaster. The added costs hurt margins, the market wasn't ready, and the strategy faced enormous skepticism and pressure, including questions from the board. But Jensen persisted. For roughly a decade, NVIDIA kept investing in CUDA, building its hardware, software, and developer ecosystem long before the commercial payoff became clear. Eventually, deep learning arrived. And NVIDIA was ready. Today, this sounds like an inspiring story. But for those who lived through it, it meant a decade of perseverance, doubt, and being misunderstood. Looking back at the history of technology, how many people could have done the same? This is what I've always loved most about NVIDIA. And now, Jensen has been pushed out. This won't kill NVIDIA. The company can still create tremendous commercial value. But it has killed NVIDIA's soul. And how far can a body go without its soul? If this is how Jensen Huang is treated today, how will those of us who built CUDA be treated tomorrow? I love NVIDIA deeply, but I have to say it: NVIDIA is dead.

From the Rio Grande Valley, TX to Cochise County, AZ, we’re building more than supercomputers. We’re creating jobs, investing in critical infrastructure, expanding local tax bases, and working alongside communities to build a future that benefits the people who live there →

Today, @llama_index is an applied research lab for document OCR and document work. Our core focus is investing in building the best-in-class models+ agents at the pareto frontier of accuracy/cost/latency for document processing. To do this, we have to invest in all the different components around the research infra stack: 1. Building comprehensive and fair benchmarks. Today we have ParseBench, ExtractBench, and ExtractBench Pro. They're already the most popular benchmarks in parsing and extraction today, and we're just getting started. 2. Investing in data curation and synthetic data generation. 3. Investing in compute and our training pipeline. This has produced models like OCRia-1. 4. Investing in agent optimization - tune everything around the models to further hillclimb cost and accuracy. 5. Closing the loop based on feedback - whether from active usage of our product, implicit/explicit customer feedback, or automated verification. We are accelerating our capabilities at a crazy pace. Today, our work is documented in our research page: There is a lot more to come!

1confirmation has invested in every Polymarket round ever and we keep doubling down. We are a seed stage fund and investing late stage is not our mandate. Here’s why we broke our rules: - There’s a 100+ year history of people wanting skin in the game on things like politics and culture and the time to accelerate that is now in an AI world where the biggest problem young people have is knowing what’s true. Everyone is becoming a trader/investor, and a product that converts that energy into better information and more truth is truly unique. - Polymarket is much more than sports and global. In the U.S. right now sports is all the rage. A better sportsbook is fine but it’s not the most enduring aspect of a prediction market business. Better information and more truth on politics, geopolitics and culture is the why and most young people you talk to IRL know that Polymarket is in a class of its own on this front even though that discourse here can get lost. - The business is leveling up. I’ve seen a lot over the past 6 years and it’s far from perfect but the exec team in place now is exceptional, the US product is best in class and the revenue is making new highs. I have not loved the messaging about a token at times bc it’s always best to underpromise and overdeliver by quietly delivering value to users. But the idea that a token is dead is foolish. - Shayne has a will to win like none other and is the most direct and transparent person I know. He’s just himself and authenticity wins. Posting here for transparency. Talk soon.

🚨 BREAKING: President Trump OFFICIALLY announces @anduriltech is investing $3.7 BILLION in Arsenal-2, a TWO MILLION sq. ft. shipbuilding facility in Maryland It'll create 3,100 new permanent jobs, and support over 14,000 jobs overall. The LARGEST US shipyard since WWII "You'll build the next generation of American submarines, including autonomous subs, torpedo tubes, and critical components for our cutting edge Virginia class attack submarines, the greatest and quietest ever built." America has really slipped in our shipbuilding capacity over recent decades, but luckily, it's coming back strong 🔥 Great job, @PalmerLuckey!

Breaking: Nvidia, $NVDA, now accounts for 5.21% of the MSCI All Country World Index (ACWI), putting it close to its all-time high weighting. The MSCI ACWI spans roughly 85% of global equity markets and includes large- and mid-cap companies across 23 developed markets and 24 emerging markets. Nvidia’s weight in the index has more than doubled since 2024. What’s even more remarkable: Nvidia now carries a larger weighting than Japan, which stands at 5.16% and is the world’s third-largest stock market. Nvidia’s index contribution is also more than twice the weight of Germany at 1.79%, France at 1.93%, and China at 2.31%. By comparison, the UK accounts for 2.95% and Canada represents 2.91%. One company now carries more weight than entire major economies. Nvidia is in a league of its own. #NVDA# #Nvidia# #AI# #Stocks# #Investing# #WallStreet#

Elon Musk on the meeting that saved Tesla. "Everything works in PowerPoint." In January 2009, Daimler executives came to Tesla grumpy and ready to walk out of the slide deck. So Elon stopped the slides: "Would you like to drive the car?" His team had bought a Smart car in Mexico and stuffed a Roadster powertrain into it. Daimler had never seen anything like it. "What it did lead to, which was really essential, was Tesla getting saved by Daimler investing $50 million." He told us this story in our 2022 interview at Giga Texas. 4 days until the 10/10 𝕏 Takeover at Giga Texas. @elonmusk @theXtakeover Demo or slide deck: which one wins you the room?