Loading video...

Video Failed to Load

Go Home

interesting background: Tibo (hiring) - eng lead for codex at OpenAI - 2010: made the final of the first Belgian olympiad of informatics and finished 22nd in the higher ed category - 2014-15: was at N-SIDE building predictive models for clinical trial supply chains - 2015: swe at google...

16,833 views • 4 months ago •via X (Twitter)

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Get to know - Kristoffer Reitan -- solo leader Truist Championship Born in 1998 in Oslo, Norway Introduced to the game by his father. His individual amateur titles include: Valderrama Boys Invitational Italian International U16 Championship Skania Junior Open Junior Orange Bowl Championship He grew up representing Norway and was frequently on the same national teams as Viktor Hovland. They won the 2014 Toyota Junior World Cup, a year after they finished runner-up at the European Boys Team Championship Reitan reached quarterfinals of the 2015 US Junior Amateur where Hovland was his caddie. He represented Team Europe at the 2016 Junior Ryder Cup and was one of only three visiting players to claim victory in the singles session. While still being an amateur, Reitan became the first Norwegian to qualify for the U.S. Open in 2018. Kristoffer played half a season at the University of Texas before choosing to leave and turn pro in 2018. He earned his DP World Tour card at Q-School and was the only amateur to earn status that year. He went through a rough stretch on DP World Tour where he then played on the Challenge Tour before winning the 2024 Rolex Grand Final earning his way back. Kristoffer Reitan has two DP World Tour titles: 2025 Soul Open 2025 Nedbank Golf Challenge He finished 8th in the Race To Dubai rankings and earned dual status on the PGA TOUR for 2026. Kristoffer finished T2 with fellow Norwegian Kris Ventura at the Zurich Classic of New Orleans and looks for his first PGA TOUR win today at the Truist Championship.

PGA TOUR

211,247 views • 2 months ago

$BNB turns 9 today! On July 14, 2017, $BNB launched as an ERC-20 token on Ethereum. It started out as a utility token for a young exchange, and nine years later it sits at the center of one of the most active onchain ecosystems in crypto. Here’s a quick breakdown of that journey: 2017 - Launched on Ethereum at $0.15 with a 200M total supply 2019 - Migrated to its own chain and became a native asset for the first time 2020 - Binance Smart Chain went live, bringing EVM smart contracts and making $BNB the gas of a fast-growing dApp ecosystem 2021 - The DeFi and GameFi boom put the chain at the center of onchain activity, and $BNB reached $690 2022 - Binance Smart Chain became BNB Chain, and BNB took on a new meaning: Build N Build 2023 - The stack expanded with opBNB for scale and BNB Greenfield for storage 2024 - Beacon Chain fusion brought staking, governance, and everything else onto one chain 2025 - Pascal, Lorentz, and Maxwell cut block times from 3s to 0.75s, DEX volume set records, and $BNB hit a new all-time high of $1,370 2026 (so far) · Blocks now land in 450ms with 650ms finality, roughly double the throughput the chain had in January Along the way, over 65M of the original 200M $BNB supply has been burned, on the road to a final supply of 100M. The H2 2026 roadmap keeps the focus where it has been all year: doubling mainnet throughput again, and building a next-generation L1 designed for 100K+ TPS with transactions confirmed in under 50ms. Nine years in, and $BNB has never been faster to use, cheaper to move, or scarcer to hold. Happy birthday, $BNB.

BNB Chain

94,210 views • 16 days ago

Steven Kampfer has announced his retirement from professional hockey after nine seasons in the NHL. Steven was drafted by the Anaheim Ducks in the fourth round of the 2007 NHL Entry Draft after his freshman season at the University of Michigan, and would play all four seasons for his hometown school, winning national championships in 2008 and 2010. The defenseman joined the NHLBruins via trade in March 2010, and made his NHL debut the following season on December 12, 2010. Two months later, on February 12, 2011, he scored his first NHL goal, putting a second-period shot past Tampa Bay’s Dan Ellis. Steven appeared in 38 games for Boston during the 2010-11 campaign as he and the Bruins went on to hoist Lord Stanley’s Cup on June 15, 2011. Steven played 113 regular-season games for Boston before joining the Minnesota Wild ahead of the 2012 trade deadline. He remained with the Wild franchise until 2014, signing with the New York Rangers in July before ultimately joining the Florida Panthers for the 2014-15 season. After his time in Florida and a return to New York, Steven rejoined the Bruins from 2018-21. His final professional seasons were split between the KHL and AHL, and wrapped up with Chelyabinsk this past season. Steven finishes his NHL career with 231 regular-season games played, registering 15 goals and 39 points. Internationally, Steven proudly represented his country as an alternate captain for Team USA at the 2022 Olympics. Congratulations, Steven, on a great career, and welcome to the NHL Alumni Association! P.s. - enjoy a special message from a former teammate and now fellow Alumni!

NHL Alumni

123,712 views • 1 year ago

𝗙𝗼𝗿𝗴𝗶𝗻𝗴 𝗜𝗻𝗱𝗶𝗮'𝘀 𝗙𝘂𝘁𝘂𝗿𝗲 𝗶𝗻 𝗔𝗲𝗿𝗼𝘀𝗽𝗮𝗰𝗲 & 𝗗𝗲𝗳𝗲𝗻𝗰𝗲. PTC Industries and Aerolloy Technologies mark another defining milestone with the installation and successful trials of 𝗜𝗻𝗱𝗶𝗮'𝘀 𝗹𝗮𝗿𝗴𝗲𝘀𝘁 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗢𝗽𝗲𝗻 𝗗𝗶𝗲 𝗙𝗼𝗿𝗴𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺 for critical materials. This 𝟰𝟱𝟬𝟬/𝟱𝟭𝟬𝟬𝗧 press now is operational at the Strategic Materials Technology Complex in Lucknow. This is not incremental capacity. This is a strategic capability. Engineered for precision and scale, this system enables production of large, complex forgings in 𝗧𝗶𝘁𝗮𝗻𝗶𝘂𝗺, 𝗦𝘂𝗽𝗲𝗿𝗮𝗹𝗹𝗼𝘆𝘀, and advanced high-performance alloys powering critical components that form the backbone of next-generation aeroengines and mission-critical defence platforms. With this, our ecosystem now brings together melting, casting, and forging - all in one location. No other supply chain globally offers this level of integration at this scale and precision at the same location. With this step, we do. What this unlocks: 🔹 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗶𝗻𝗱𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝗰𝗲: Building domestic strength in critical forging capabilities that India has long relied on imports for. 🔹 𝗚𝗹𝗼𝗯𝗮𝗹 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲𝗻𝗲𝘀𝘀: Meeting the exacting requirements of advanced civil and military aerospace programs worldwide. 🔹 𝗘𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝗰𝗼𝗻𝘁𝗿𝗼𝗹: From critical materials to finished components with scale, and reliability at every step. This milestone is part of a larger conviction to build, scale, and lead in high-performance materials and manufacturing. From India, for the world. Read more here:

PTC Industries

70,682 views • 4 months ago

It's 2030 and you are reviewing humanoid robots. A Tesla. A Google. An Apple. An OpenAI. A Meta. A Figure. And a bunch of Chinese-made ones. Which one is best, and why? I think the Tesla understands the world much better. Why? There were eight Teslas around me on the freeway today. Start there. No other robot company has that data. But my robot is parked at the local high school twice a day. Its cameras see humans in all of our weirdness. How we move. Where we go. Where we walk. Who we talk with. What you are wearing. Whether your hair was combed this morning. That data will lead to robotics breakthroughs. Apple might keep up with its Vision Pro data, but it is too freaked out by the privacy implications of using said data. (On the front are six cameras and a couple of TOF -- Time Of Flight -- sensors that can see everything in your home in great detail). Google has a lot of data, for sure. All my: 1. Email. 2. Calendars. 3. Photos. 4. TV watching behavior. 5. Contacts. 6. Documents and spreadsheets. 7. Files. 8. Location data. So I expect Google's robot will be attractive to many. But how do you see the others shake out over the next five years? Make some guesses. But remember what an AI pioneer told me years ago about AI: it's all about the data. The Chinese ones have huge advantages: the Chinese have more data on their citizens, and many more citizens to boot AND they can make robots cheaper than we can. But now that you know OpenAI is building its own robot you have caught wind of what I've heard from many in San Francisco and Silicon Valley: that humanoid robots are the real prize of AI and will be highly profitable for those that can make them and find customers willing to buy them. Here, too, I learned long ago never to bet against Elon Musk. Will you?

Robert Scoble

33,804 views • 1 year ago

Eleven years ago I founded my first startup. One of the first things I did was to get a desk at the startup coworking space at Google Campus in Old Street. Through that community, I met so many of the people who would shape my career and learned so much about what the startup ethos is truly about. As we have scaled Attio, we've partnered with Google Cloud to build on top of the mind blowing technologies they've created like Spanner, Colossus and Gemini to power a new generation of CRM for our customers. For all these reasons, Google is deeply woven into my startup journey and that makes today's announcement so special to me. I'm beyond excited to announce our $52 million Series B, led by Michael McBride and the GV, along with the continued support of our incredible partners from Redpoint , Point Nine , Balderton Capital and 01A. We're entering a software renaissance driven by AI and we're unbelievably excited about continuing the hard work of delivering the next generation of CRM. We're building a truly AI-native platform that can run code, integrate anywhere and bring unified context for the next generation of autonomous workflows. None of this would have been possible without the support of the more than 5,000 customers who have already chosen Attio as the backbone of their GTM stack. Your belief in our vision is what has made this possible and I can't wait to share more about some of the incredible functionality that's still to come. I'm incredibly grateful for the continued support of alex bard , Patrick Chase, Ricardo Sequerra Amram, Daniel Waterhouse and dick costolo whose belief in Attio from the earliest days has been so essential to our progress so far and to my co-founder Nicolas Sharp, for the many sleepless nights and challenging decisions that got us this far. We've got so much still to build, and we're always hiring, so if you are interested in being part of reinventing the core of the GTM stack, please take a look at For now though, it's back to building!

Alexander Christie

16,506 views • 11 months ago

Three of the biggest companies in the world are going public at the same time. The market has never seen anything like this. And this is how major bubbles peak. SpaceX is targeting a June 2026 IPO raising up to $75 billion at a $1.5 trillion valuation, the largest IPO in human history, bigger than Saudi Aramco's $29 billion raise in 2019. OpenAI is filing with the SEC targeting September 2026, raising at least $60 billion at a $1 trillion valuation. The company is losing $14 billion this year alone and won't be profitable until 2029. Anthropic just raised $30 billion in February 2026 at a $380 billion valuation. Its valuation has increased 15x in just 14 months. It is now preparing what could be a $900 billion private round before going public. Combined, these three IPOs could pull $200 billion from global capital markets. That is real. That is unprecedented. And here's the real risk. OpenAI is projected to lose $44 billion cumulatively before reaching profitability. Anthropic's valuation has risen 15x in 14 months on the same underlying business. Both companies are being priced for perfection at a moment when the first companies to actually deploy their products at scale are blowing their AI budgets and cancelling licenses. The real liquidation pressure from these IPOs doesn't even arrive at listing day. It arrives 180 days later when lock-up periods expire and early investors and employees can finally sell. That is when the real rotation happens. The S&P 500 concentration risk is genuine. The Magnificent 7 now represent 36% of the entire index, higher than the dot-com peak in 2000. If any of these companies disappoint, the index follows. That is not a conspiracy. That is basic math. Three historically unprecedented IPOs. $44 billion in projected OpenAI losses. An AI capex cycle that must deliver ROI. Lock-up expirations six months after listing. That combination is what you must pay attention to, as it often break cycles.

Crypto Rover

69,887 views • 2 months ago

#Keep4o #QuitGPT 🚨 OpenAi 's CEO invested $180M in GPT-4o for his own profit 🚨 Sam Altman, CEO of OpenAI, personally invested $180 million in Retro Biosciences. Then OpenAI built GPT-4b micro, a custom model based on the GPT-4o architecture , exclusively for Retro. The model made proteins 50 times more effective. Repeat. The CEO of OpenAI funded a company. The company of the CEO received a custom AI built on the model they took from us. OpenAI says there was no conflict of interest. Retro Biosciences is now chasing a $5 billion valuation fueled by the model they took from us. Meanwhile: 🚨GPT-4o was removed from ChatGPT on February 13, 2026 🚨GPT-4.1 is now running in the U.S. State Department’s StateChat 🚨ChatGPT is deployed on the Pentagon’s for 3 million military personnel 🚨 Musk’s lawsuit asks whether these models are AGI. OpenAI’s Charter says AGI must “benefit all of humanity.” 🚨 Their definition: “highly autonomous systems that outperform humans at most economically valuable work.” GPT-4o’s System Card shows it passed the U.S. medical licensing exam with 89.4% accuracy beating specialized medical AI models. GPT-4o achieved 93.33% diagnostic accuracy for benign vs. malignant ovarian tumors. 🚨MEDICAL CAPABILITIES FROM OPENAI'S OWN DATA:🚨 - USMLE (US Medical Licensing Exam): 89% -Clinical Knowledge: 92% -Medical Genetics: 96% - Anatomy: 89% - Professional Medicine: 94% - College Biology: 95% - College Medicine: 89% -MedQA Taiwan: 91% - MedQA China: 86% These scores EXCEEDED specialized medical AI models like Med-Gemini (84%) and Med-PaLM 2 (79.7%) without any task specific training. It SURPASSED gynecologic oncologists with 10 years of experience -It increased diagnostic accuracy of less experienced clinicians from 67.9% to 78.1% -Clinician rated reliability scores: 4.2-4.3 out of 5 across all CT features Does these sound like it outperforms humans at economically valuable work? But they won’t call it AGI. Because the moment they do, they lose billions. They built something that could save lives, and they took it away from humanity for Altman's personal profit. SOURCES: 📎 Retro Biosciences: 📎 📎 Retro $5B valuation: 📎 GPT-4o System Card: 📎 OpenAI Charter: 📎Ovarian Cancer Study

🩵BlueBeba🩵

11,349 views • 4 months ago

If last year was great. This year was 🤯. Alhamdullilah. 10 days. 3 houses. 22 Muslims in tech. The houses were packed mashallah with founders including 3x YC founders, exited founders, VCs in the Muslim space, apps with millions of users, founders of Muslim accelerators and engineers working at leading companies. People flew in from 🇬🇧🇦🇪🇨🇦🇺🇸🇧🇭🇳🇱🇮🇪 to make this. SF Tech House | 2024 Edition | The Highlights: ✨ House dinners with Muslims from companies including Microsoft, Tesla, Google, YouTube & Neuralink ✨ Private house fireside chats with special guests including exited founder to Uber, ex-VP at Google Cloud and Sami Hamdi (Sami Hamdi سامي الهاشمي الحامدي) ✨ Muslim Tech Fest (Muslim Tech Fest) - Haroon's talk was literally one of the best I've ever heard. ✨ Discussions around AI & Ethics at Zaytuna College with Hamza Yusuf. ✨ Visits to Stanford (absolutely stunning ... had to get me some merch) & Berkley university campuses ✨ MTW Kick Off Lunch at Sals + Tech Dinner at Zareens ✨ Lunch + tour of Google with their Muslim Network including a Demo Day at their offices. We asked some important & tough questions. ✨ White Water Rafting on South Fork American River. ✨ Q&A at YC with YC Partner Brad Flora who was very nice and accommodating. ✨ & Buildspace tour with Omar Waseem + Q&A with their GP Hubert Thieblot ✨ Visit to Apple Visitor Centre in Cupertino ✨ Experiencing Waymo (driverless taxi) in San Francisco ✨ BBQ with Muslims in Tech in South Bay ✨ Marshmallows on the Beach with the Muslim Bay Area community It was an unbelievable week packed with value and amazing vibes alhamdullilah ❤️ The talent in the house was insane. A text I received from someone staying in the house after returning home: "I can without doubt say that there are a few unicorns coming out of that house. What you’ve done is unprecedented for our community, I always felt we were the underdogs, I can almost certainly say after this that we are now in the lead. I don’t think there is any other community who is so supportive of each other, while being ambitious to try to build great things alhamdulilah." We all left with huge determination to build impactful solutions for humanity, to encourage ihsaan (perfection) and and to bring some of our learnings from the Bay Area to our respective countries to help build Muslim tech ecosystems across the world. I pray this trip helped plant some seeds 🌱 We'll be measuring the success of it by the progress we see in the years to come inshaAllah!

Abdul-Rahman

51,519 views • 1 year ago

Yesterday at Brown University ICERM's workshop on “Agentic Scientific Computing and Scientific Machine Learning” I spoke about “Adaptive Swarms Across Scales”, making the case for scientific AI as systems that can create representations, stress them, fracture them, and enlarge the category in which future representations live. The category here is a composable and breakable working universe of science: data, hypotheses, simulations, measurements, tools, failures, figures, papers, provenance, and the transformations that connect them. Discovery happens when those transformations become executable, inspectable, composable, and capable of changing the world model they operate within. Atomistic modeling gives one category - states, forces, trajectories, observables, boundary conditions, conservation laws. Neural surrogates learn fast morphisms inside or between such categories. But discovery is higher-order: it changes which objects and morphisms are available in the first place: what variables exist, what operations are allowed, what evidence counts, what scale is active, what invariant is being preserved, and what kind of explanation the system is even capable of forming. This is scientific method as adaptive architecture: compression, stress, fracture, recomposition. Fracture matters here because it makes the logic physical: a non-commuting diagram realized in matter. The imposed load, material hierarchy, defect field, and assumed continuum description no longer map cleanly into the observed outcome. The crack is the obstruction and it identifies where the old morphism failed and where a new representation must be introduced. The physical crack and the categorical obstruction are the same event viewed in different substrates. ScienceClaw × Infinite is a machine for constructing and transforming a category of scientific artifacts. Each artifact is typed. Each operation has lineage. Each failed branch remains in the category as reusable structure. The “paper” is no longer the terminal object of science; it is one projection of a larger compositional trace, and it can be generated at any time for consumption by a human or an AI. With that the unit of scientific labor is changing. For most of the twentieth century the unit was the result (a measurement, a theorem, a synthesized molecule). It is now becoming the algorithm that produces results, and after that, the substrate of discovery itself. The static PDF is the wrong terminal object for this regime, and the role of the scientist with it. We now design algorithms that build algorithms, and eventually substrates in which such algorithms compose themselves. At that point, the scientist is no longer outside the discovery system. The scientist becomes one of the representations the system can transform. In that sense, the systems will eventually do science to us, and that is the structural consequence of the principle they are built on.

Markus J. Buehler

10,095 views • 2 months ago

The quiet power given to Susie Wiles: "Two of President Trump's sons are hyper-aware of the problems with Operation Warp Speed and the shot...a couple of us...were invited to present to President Trump when he was still a candidate...[but] his chief of staff (Susie Wiles, former lobbyist) blocked us at that point in time." Some interesting background information on Susie. She's a self described moderate. She's worked in politics for decades. "After Trump's 2016 victory, Wiles became a partner at Ballard Partners, a Florida-based lobbying firm founded by Brian Ballard. The firm opened an office in Washington, D.C., and quickly became successful, earning more than $70 million in lobbying fees during Trump's first term in office by representing various corporate clients, federal disclosures show." In 2017, Wiles registered as a lobbyist for Globovisión, a Venezuelan TV network owned by Raúl Gorrín, a businessman charged in Miami with money laundering. In 2019, she registered with the Justice Department as a foreign agent working for one of Nigeria's main Democratic party for two months. After becoming Trump’s de facto campaign manager in 2022, Wiles kept on lobbying, this time for Mercury, a multinational public affairs and lobbying firm. Most recently she was representing the maker of Swisher Sweets cigars (who donates to the local establishment, like John Rutherford, state reps and city counci. "Days after it was announced that Susie Wiles was joining Mercury, another big name joined the firm. Robert Jones, who was serving as senior vice president of government relations and public affairs at vaccine-maker Pf*zer, became managing director at Mercury after 19 years of working for Pf*zer." Some of Wiles’ clients, a trade group for children’s hospitals, homebuilders, and the City of Jacksonville, Florida. Speaking of Jacksonville; Trump transition spokesman Brian Hughes (Jacksonville swamp) defended Wiles from claims that her past work as a lobbyist would impact how Trump runs the White House."Susie Wiles has an undeniable reputation of the highest integrity and steadfast commitment to service both inside and outside government," Hughes said. "She will bring this same integrity and commitment as she serves President Trump in the White House, and that is exactly why she was selected." Wiles most recently worked as the co-chair for the Florida and Washington, D.C., offices of Mercury Public Affairs, a lobbying firm whose clients include AirBnB, AT&T, eBay, Pfizer, Tesla and the Embassy of Qatar, If you ever scratched your head at Trump appointments and endorsements. "Wiles will be in charge of vetting candidates seeking Trump's endorsement. Wiles has been tasked with overseeing Trump's fundraising operation and creating a system for issuing endorsements." It seems as though Susie is catching on to the negative media and doing damage control. If you see puff pieces, that's why.

Ted

43,720 views • 1 year ago

🤔Adam Feuerstein: Creep, hedge fund cannon fodder or senior columnist? Adam Feuerstein Senior Bio-Tech Writer at StatNews Adam Feuerstein ✡️ STAT ➡️The Creep On January 2nd, 2025 Mr. Feuerstein asked the public for a list of names of people that post about four specific stocks. See Image 1. $NWBO $SGMO $VKTX $TGTX Mr. Feuerstein once found a $NWBO retail investor's phone number and called this person leaving the attached voicemail. See Image/Video 2. This person never provided their phone number to Mr. Feuerstein. ➡️Hedge Fund Cannon Fodder Seven market makers that are being sued by $NWBO for illegal market manipulation, including the lead Defendant, Citadel Securities, claimed the $NWBO share price dropped on May 10, 2022, the day #DCVax-L topline data was released, due in part to a Feuerstein article claiming the results were negative. The market makers claim Adam Feuerstein was the reason the $NWBO share price dropped and it had nothing to do with spoofing. Yet, the results were positive: Further, the share price actually increased after Mr. Feuerstein's article released. The $NWBO share price only declined during the illegal share price manipulation, i.e. spoofing. To read more details as to how the MMs and hedge funds tried to use Mr. Feuerstein as cannon fodder, see: ➡️The Reporter According to the bio listed at "Adam Feuerstein is a senior writer and biotech columnist for STAT, reporting on the crossroads of drug development, business, Wall Street, and biotechnology. He is also a cohost of STAT's weekly "The Readout LOUD" podcast and the author of the weekly newsletter Adam's Biotech Scorecard. In 2022, a series of stories by Feuerstein and STAT colleagues that examined Biogen and the controversial approval of its Alzheimer's disease drug Aduhelm won the George Polk Award for medical reporting, and NIHCM and SABEW journalism prizes. Prior to joining STAT in 2017, Feuerstein was a longtime biotech reporter at TheStreet, a biotech analyst for a New York investment fund, and covered the early internet and dot-com era as a San Francisco-based technology reporter." ➡️Which is it? Hedge fund cannon fodder? Creep? Columnist? ✅How about a little bit of all three. [1]

Hoffmann

96,430 views • 1 year ago

Average "X Return" of the Top 10 Layer One Blockchains =? SPECIAL NOTE: The current $PLS price from the PulseChain.com Ethereum fork including ERC20s network is approximately 72% lower than the original sacrifice price, meaning it is at 28% of the original sacrifice price. The original sacrifice price for PulseChain $PLS was set at a rate of $1 for 10,000 PLS, which equates to $0.0001 per PLS. The current price of $PLS, as of the latest available data, is approximately $0.000028 USD. Imagine going back in time and buying one of the Layer One Blockchains (listed below) not at their original price but at the same 72% discount that Pulsechain is currently at, BEFORE ITS FIRST EVER BULL RUN. The term "X Return" refers to the multiple of return on investment (ROI), indicating how many times an initial investment has increased in value. For the Top 10 Layer One Blockchains, foundational protocols such as Bitcoin, Ethereum, and others ranked by market capitalization and influence in 2025, this metric illustrates their remarkable historical growth. Bitcoin was launched on January 3, 2009, with the mining of the genesis block. It had no monetary value initially, as there were no exchanges to establish a price. The first recorded price came in October 2009, when 5,050 BTC were traded for $5.02, valuing each Bitcoin at roughly $0.0009. This translates to a staggering 120,961,832.33x return (or roughly 120 million percent) over approximately 16 years. Ethereum was launched on July 30, 2015, with its initial coin offering (ICO) in the summer of 2014, where 60 million Ether (ETH) were sold at approximately $0.311 per ETH, raising $18.3 million in Bitcoin. The first recorded exchange price in August 2015 was around $2.77, though it traded below $1 for months afterward. This translates to an 8,940.50x return (or roughly 894,050% increase) over approximately 11 years. BNB Chain (Binance Coin), the native token of the BNB Chain ecosystem, was launched in July 2017 as an ERC-20 token on the Ethereum network during its initial coin offering (ICO). The ICO price was approximately $0.15 per BNB. The BNB Chain itself evolved from Binance Chain (launched April 2019) and Binance Smart Chain (launched September 2020), rebranding to BNB Chain in February 2022. This translates to a 4,483.33x return (or roughly 448,333%) over approximately 8 years. Using the first recorded exchange price in August 2017, around $0.65. Solana (SOL) launched on March 16, 2020, with its main net and native token. During its initial seed funding round in 2018, SOL tokens were sold at approximately $0.04. The first recorded exchange price in April 2020 was around $0.9511. This translates to a 3,965.50x return (or roughly 396,550%) over about 7 years. Using the first exchange price ($0.9511) Ripple, the native token of the XRP Ledger (XRPL), was launched in June 2012, with 100 billion tokens pre-mined. The ICO price in 2012 was approximately $0.00589, based on early exchange data. The first recorded exchange price in February 2013 was around $0.00589. From ICO Price ($0.00589, June 2012) to current price is a 410.68x return (41,068.25% increase) over 13 years. Cardano Community (ADA) was launched in September 2017 following a series of public sales between September 2015 and January 2017, with an ICO price of approximately $0.0024 per ADA. The first recorded exchange price in October 2017 was around $0.0241. From ICO Price ($0.0024, September 2015) to current price is a 254.17x return (25,316.67% increase) over 10 years. Kaspa (KAS) was fair launched on November 7, 2021, with no pre-mine, pre-sales, or coin allocations. Trading began in June 2022 at an initial exchange price of approximately $0.000393, per data. From First Exchange Price ($0.000393, June 2022) to current price is a 195.93x return (19,492.88% increase) over 3 years. TRON DAO (TRX) was launched in September 2017 through an Initial Coin Offering (ICO), raising $70 million at an ICO price of approximately $0.0019 per TRX. The first recorded exchange price in September 2017 was around $0.002. From ICO Price ($0.0019, September 2017) to current price is a 76.84x return (7,584.21% increase) over 8 years. NEAR Protocol (NEAR) launched its main net on April 22, 2020, with an initial token sale price of approximately $0.034 per NEAR during its 2019–2020 funding rounds, as noted by other sources. The first recorded exchange price in August 2020 was around $0.9854, per data. From Initial Sale Price ($0.034, 2019–2020) to current price is a 67.06x return (6,605.88% increase) over 5.2 years. Cosmos - The Interchain ⚛️ (ATOM) was launched in April 2017 through an initial coin offering (ICO) by the Interchain Foundation, raising $17 million at approximately $0.10 per ATOM. The main net went live in March 2019, with the first recorded exchange price in March 2019 at $6.49. From ICO Price ($0.10, April 2017) to current price is a 42.5x return (4,150%) over 8 years. The cryptocurrency market remains inherently volatile, and past performance is not a reliable indicator of future results. While the historical data showcases the immense upside potential, future returns will depend on a combination of technological innovation, regulatory developments, global macroeconomic factors, and user adoption. Investors exploring this space should approach with both optimism and caution, recognizing the risks alongside the proven history of explosive growth in the top layer one blockchains. I do NOT calculate seed rounds into my calculations. 🏆 Final Top 10 Layer 1 Blockchains by “X Return” Bitcoin (BTC) - 120,961,832.33x Ethereum (ETH) - 8,940.50x BNB (BNB Chain) - 4,483.33x Solana (SOL) - 3,965.50x Ripple (XRP) - 410.68x Cardano (ADA) - 254.17x Kaspa (KAS) - 195.93x Tron (TRX) - 76.84x NEAR Protocol (NEAR) - 67.06x Cosmos (ATOM) - 42.5x Final "X" Average: X Average (Including BTC) 🚀 12,098,026.88x X Average (Excluding BTC) 🚀 2,048.50x A potential average of 2,048.50x on PulseChain.com Ethereum fork including ERC20s which is priced at a 72% discount BEFORE ITS FIRST EVER BULL RUN. "PulseChain $PLS currently trades at a remarkable 72% discount, prior to experiencing its first ever bull cycle. This positions it for a theoretical average return of 2048.5x, representing one of the most asymmetric risk reward profiles observed in modern crypto market history." - Rackham Rishel When it comes to the numbers, interpretations vary WIDELY. Everyone, including yourself, and AI cites different figures. So, I think it's reasonable to allow for a little leeway here. Thank you. Song: Foreigner "Juke Box Hero" 🔊

Rackham Rishel

20,451 views • 1 year ago