Reminder: Keep building. Think it. Pitch it. Build it.... τ Bittensor Subnet Ideathon (Round 1) closes Feb 25. - $18K cash prize pool - Up to 𝞃1000 discretionary funding from Unsupervised Capital - $5K basilica compute credits - Direct entry to bitstarter accelerator Registration live → build the next subnet on Bittensor. Own the future. #Bittensor $TAO #SubnetIdeathon HackQuestshow more

$ASI watch out! We've got more projects popping up... on Bittensor and $TAO and just starting, Akash $AKT, Shell $SHELL, Einstein-AIT $AIT, Sturdy $STRDY, Stratos $STOS and Comtensor $COMAI and more. Each pushing what's possible with AI and crypto. MyShell: $SHELL First up, MyShell is doing something amazing work. They're all about making AI chat like humans. They're using this TTS Subnet on Bittensor, powered by thier tokens, to make it happen. AI doesn't have to be complicated thing only some can use. They want everyone in on the action, making AI smarter in the process. Einstein-AIT: $AIT Then there's Einstein-AIT. Imagine this as the network's brain but on a turbocharge. It's all about math, logic, and crunching numbers. This subnet makes the whole Bittensor network sharper. They've got NumPAL, and it's like giving the AI a smarter way to think about time and dates automatically. Sturdy: $STRDY Jumping into DeFi, we've got Sturdy. These guys are on a mission to make lending and borrowing way less of a headache. They've got isolated lending pools, you can pick and choose how to manage your risks and money. And they're using some serious tech to keep your investments growing without you needing to babysit them. It's like having a smart financial assistant. Comtensor: $COMAI Comtensor is where it gets interesting. Think of it as a bridge between CommuneAI and Bittensor, kind of like the best of both worlds. It's about making sure all these AI modules and subnets can talk to each other smoothly. The goal? To boost decentralized AI by making everything more connected and smart. Stratos: $STOS Teaming up with τensorage to supercharge the $TAO ecosystem on Bittensor. Stratos is all about solid, decentralized storage - think of it as the bedrock for making sure data's not just stored but also used right . Then there’s τensorage, making sure everything AI needs is stored safe. Together, they’re making sure Bittensor's AI brainpower gets a boost, making everything faster, safer, and smoother. Akash: $AKT Compute Subnet 27 linked up with Akash. All about keeping things open-source. With Akash as a decentralized GPU provider into the mix. Giving access to top-notch AI processing power on top of Neural Internets compute-composable subnet, integrating various cloud platforms. This partnership is all about breaking away from those giants and opening the doors wide for smaller teams and startups who need this tech to innovate. Whats this all about? Making decentralized AI a something that everyone can get behind and into. Whether it's chatting with AI, boosting the network's IQ, DeFi, compute or making sure all these projects work together, it's about pushing forward. Each project has its own way of making things better, faster, and smarter for all of us. Inviting everyone to join in, contribute, and be a part of community effort to make AI not just for the few but for everyone. Credit to Mr.Franc Q for the awesome video production!show more

last year we closed down isc. the final nail... in the coffin. my third failed venture. a clear sign from god that my inner voice was correct: loser. worthless. vapid. loud. obnoxious. shitty boss. poor decision maker. someone who can talk the talk, but can’t walk the walk. finally time to give up being a founder. but i couldn’t stop thinking about stablecoins. i had spent the last two years traveling the world learning how stablecoins will fundamentally rewire money movement and unlock yield. once you see it, you can’t unsee it. one of my favorite quotes, “democracy is not self-executing, it must be fought for” the same can be said for building the future. solana as the #1 chain for stablecoins is not a foregone conclusion. far from it. we must outcompete all others and bring regulators onside. that’s why we need Solana Stable Future. i’m back to building something new. to FIGHT FOR THE FUTURE we want to see. stable future is where protocols, institutions, and capital allocators come to build lasting friendships. where we execute our wildest ambitions. where we outcompete all chains for solana dominance. see at the next one! love you, enoshow more

I think I've stumbled onto the future of building... startups. It wasn't supposed to happen this way. It's 2 AM. I'm editing a podcast, questioning every life decision that led me here. I've already burned through hundreds of thousands on this thing since 2021. Zero monetization. Just burning cash. My business partner's probably thinking I've lost it. We're juggling 6 businesses, and here I am, playing wannabe Joe Rogan. Then it hit me. Not during the podcast. In the darn comments section. I start sorting comments by "contains question" using this AI creator tool called VidIQ. "How do you validate ideas?" "What tools do you use?" "Can you dive deeper on XYZ topic?" These questions keep popping up. Over and over. That's when the lightbulb went off. What if I could turn this into a lead magnet machine? Find questions. Answer them with free stuff. Rinse. Repeat. I team up with Design Scientist to crank out 2 lead magnets a month. (Tried doing it myself first. But it was hard lol) We start pumping out things like "6 Tools I Use to Find Startup Ideas." Suddenly, I'm drowning in subscribers. 10,000 to 20,000 a month. On autopilot. Now, you're probably thinking, "Cool story, bro. But how's this a big idea?" Clarity of what to build is probably one of the most valuable ways to build products people want. You have to understand a niche's problem better than they even know them. Problem: what's the roadblock keeping founders stuck? Segment: group these founders by their specific obstacles. Product: build the bridge that gets them over their hurdle. I use ConvertKit like a scalpel, dissecting these segments. Not by age or location. By the problems they're desperate to solve. Suddenly, I'm staring at a treasure map of founder pain points. And that's when you can build startups to solve their problems. Instead of being a lead factory, you become a startup factory. You use tools like v0/replit/cursor to prototype like a madman. And it makes your life less stressful as a founder. Because you know people are lined up to buy the products. I'm so convinced this is the future of startup building, I've bet $1M+ of my own cash on it. Building startups to solve people's problems. And cool part is this blueprint can be replicated in any niche. The best SaaS ideas aren't in some Silicon Valley incubator. They're hiding in your "free" content. Think of it like this (Isenberg's formula?): (Engaged Audience) x (Targeted Lead Magnets) x (Problem-Centric Segmentation) = Product-Market Fit on Demand Here's the step-by-step: 1. Use AI/software to categorize every single audience interaction by problem type. Build a heat map of pain points. 2. Create ultra-specific lead magnets for each major problem cluster. Think "5-Step Framework for Validating SaaS Ideas" not "Generic Startup Guide". I also use free communities as lead magnets. 3. Forget demographics. Segment by the problem they're trying to solve. Use ConvertKit to build dynamic segments that would make Zuck jealous. 4. Use AI to build rapid prototypes for top problem clusters. Test with your segmented lists for instant feedback. Your next cash-flowing business is probably stuck in a comment somewhere, just waiting for you to notice it. I accidentally built a startup factory at 2am. Happy I did. Sharing in case this is useful to anyone out there. The future of startups: 1. Be a content factory 2. Be a lead factory 3. Be a startup factoryshow more

Over a year ago I started my journey with... Bitcoin. Like most, I was just curious. But as I studied it, I realized Satoshi Nakamoto didn’t just build Bitcoin. He built a world where anyone could create in his spirit. He built something that lasts. That inspired me to build. To build sports on chain and stack Satoshi’s across chains. My contribution was to pass my most valuable possession to the blockchain, the actual $BALL 🏀 GAME 5 BALL from the 1991 NBA Finals. The night the Bulls won our first championship. The Holy Grail of sports. That ball is history, it’s legacy, and it’s culture. I wanted the fans to own a piece of it. To own fractions of the actual ball, now preserved in a vault as we build a Real World Asset around it. The digital scan of that same ball is powering an elite sports ecosystem through gaming, AI agents, storytelling, multi-chain, and a documentary that captures what this moment means. Tomorrow night, the $BALL 🏀 GAME 5 BALL expands to Solana. $BALL is already live on Ethereum and this is the first step of our multi-chain journey as we build the future of sports on-chain. This is bigger than any one person. This is community. This is history. This is the start of breaking world records in sports collectibles and culture itself. Be like Satoshi. Keep building. $BALL 🏀🏆 $BALL 🏀 GAME 5 BALL Learn more and how to get tokens atshow more

AI token usage is up 10x in 7 months,... compounding 40%/MONTH! There is NO BUBBLE when demand is STILL accelerating And this is just OpenRouter, it doesn't count the labs direct token usage and APIs But here's what's interesting about these numbers, the demand is coming from everywhere at once US models (OpenAI, Anthropic, Google) keep growing, while Chinese open weight models (DeepSeek, Tencent, Xiaomi, Minimax) grew even faster and now drive over 60% of usage on OpenRouter Closed source and open source both compounding at the same time. This is literally the best case scenario for AI Infra investors It means both frontier model tokens and cheaper tokens have product market fit. This means the application layer is finding ways to use both and generate ROI with both types Demand for tokens IS demand for compute. This is why SpaceX is looking to build 10GW of compute by next year, because the demand is clearly here Now combine this demand set up, with NVIDIA yesterday announcing financing platforms with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR to mobilize over $500 billion of third party capital for AI infrastructure And Jensen has said publicly he expects $3 to $4 TRILLION of AI infrastructure spend by 2030 The build out will have to continue for a lot longer than the market is expecting, that is very clear to me. Don't let this consolidation period in AI infra stocks shake you out, they will have their moment again and take their next leg higher p.s. if you want to see how im investing in this, you can track my real-time portfolio and the research of all 5 Milk Road PRO analysts with live trade notifications, and it's just $1 to try it out (insane price just to check it out). Learn more here: Good luck out there!show more

I genuinely think the Terafab is going to end... up being one of the biggest moves ever made in human history to secure the future of AI... and I think most people still don’t fully see what Elon is trying to do here. The signs are clear to me. This is Tesla, xAI, and SpaceX essentially hinting to us that they are not going to wait on the world to give them the compute the team needs. They are going to build it themselves at a scale no one has ever attempted. When you really break it down, it gets a bit nutty. This is going to be a fully vertically integrated chip factory that will be producing over 1 terawatt of AI compute per year. This is NEXT LEVEL BIG. Today, AI is limited by chips. You can have the best models, the best engineers, the best everything... but if you don’t have enough compute, you will eventually hit a wall. Elon told us, the world can only supply a tiny fraction of the chips his companies will need. So this is the solution. Terafab puts everything under one roof like design, manufacturing, memory, packaging, testing, which means that they can build chips very fast.. like really fast. I'm talking about 100-200 billion custom AI chips per year at full capacity. Chips designed specifically for: • Tesla cars and Optimus robots • xAI models • Space-based compute You see, while other companies and CEOs are thinking Earth, Elon is planning for AI in space. Around ~80% of the compute is expected to go orbital, powered by solar energy bc Earth simply doesn’t have enough electricity. The U.S. grid is only about ~0.5 terawatts, while space has basically UNLIMITED energy if you can capture it. And this is the steps to get it: Starship launches → space compute → solar-powered AI → feeds back into everything to Earth. Bro... Elon and his companies are playing at a whole different level... And this is why I keep telling people that the Terafab is going to be the secret ingredient that will be the real unlock for everything: • Robotaxis at scale • Billions of Optimus robots • Massive AI models running 24/7 • Future off-world, other planet infrastructure Without these chips, none of this can happen... but with the Terafab, all of this becomes possible. That’s why Elon is calling it “the final missing piece.” I agree.show more

13 years old. making $20,000 a month. working just... 1-2 hours a day. he didn’t work harder. he built a system. every morning, it looks at what’s trending. it finds the best posts from the last 24 hours. then it gives him 10 content ideas, ranked from best to worst. he picks one. one AI writes the post in his style. another checks it for mistakes. another posts it to 5 different platforms. one idea. five platforms. almost no manual work. after each post goes live, the system tracks what people liked, shared, and saved. it uses that data to make the next posts better. so the content keeps improving on its own. the results add up. 5 million views in 2 weeks. 100,000 bookmarks in 2 months. bookmarks matter. people only save posts they want to come back to. when lots of people save a post, platforms keep showing it to more people. that’s why his posts keep getting views… while he’s at school. while he’s sleeping. while he’s doing something else. the biggest advantage today isn’t working more. it’s building a system that works even when you don’t. watch the video. then read the full breakdown below.show more

Following the amazing reaction to the Marble Curriculum yesterday,... we've decided to make it open source 🛰️👇 Everything a child learns in primary school. 1,590 concepts. 3,221 connections across 8 subjects, from Math and Science to Computing and Life Skills. Anchored in the US and UK curriculums, standard by standard (NGSS, Common Core, DfE). What you will find in the repo: every concept as structured JSON with its age band and the evidence a child must show to master it. Every prerequisite link marked hard or soft, with a written rationale. It's a true DAG you can compute learning paths on. Open license, you can build whatever you want with it. Now is a unique time in history to be building in education. Getting AI and kids education right is likely one of the hardest and most important problems to crack over the next decade and we need as many smart and creative minds behind it. We think a common solid basis, accessible to all and that can be built upon, is critical to move fast. That's why we're making this curriculum open source. It's not perfect but we know it's a robust basis, and we believe that sharing it openly is the fastest way to progress in this field. If you're building in education, share this around you and tell us in comments if you find this useful and if you want to contribute. We'll keep working and investing on it Marble App. Credit goes to Guillaume Boniface-Chang for building this. I just made it look pretty. Links below 👇show more

Saylor’s Bitcoin Machine Meets the Cash Reality The real... story is not that Strategy may sell up to $1.25B of Bitcoin. The bigger story is that it has moved from a simple accumulation narrative into a complex capital markets machine. The old pitch was buy Bitcoin, never sell, increase Bitcoin per share. The new structure has preferred stock, convertible debt, reserves, buybacks, dividend obligations, and now a BTC monetization plan. That shift matters because Bitcoin does not produce cash flow. Preferred dividends and interest expense do. Strategy says it has about $2.55B in USD reserves and roughly $1.76B in annual preferred dividend and interest obligations. That sounds like about 17 months of coverage, but that number is static. It assumes no future dividend increases, no stress, no buybacks, no taxes, no transaction costs, and no deterioration in capital market access. If they keep raising the STRC dividend to defend the price near par, the cash burn rises and the runway gets shorter. The Digital Credit Problem STRC is marketed as digital credit, but economically it behaves like a high yield perpetual preferred stock tied to confidence in a Bitcoin balance sheet. It is not normal debt because there is no traditional maturity. It is not common equity because it sits ahead of common shareholders and carries a large cash distribution expectation. The design is clever but circular. STRC’s dividend can be adjusted to keep the security near $99 to $100. The dividend was raised to 12%, which may support the price, but it also raises cash burn. If STRC trades below par, Strategy may raise the dividend again. If the dividend rises, the reserve coverage shrinks. If cash gets tight, Strategy needs new issuance, reserves, or Bitcoin sales. The compounding issue makes the structure even more fragile. If dividends are paid on time, they do not compound against the company. But if payments are deferred or missed, unpaid dividends can accumulate and compound monthly until paid. That means a liquidity problem does not just sit there. It can grow on itself. Where The Fragility Lives Strategy owns a volatile, non cash flowing asset and has layered cash obligations on top of it. That works when Bitcoin rises, MSTR trades at a premium, and investors are hungry for yield. It gets harder when Bitcoin falls, spreads widen, or investors demand higher returns. Selling Bitcoin now changes the narrative. Bitcoin is no longer just the sacred reserve asset. It is now a liquidity backstop for dividends, reserves, interest, and buybacks. The $1.25B monetization program adds runway, but it also proves the point. Cash promises need cash sources. That creates the feedback loop. If Bitcoin falls, asset coverage weakens. If STRC trades lower, required yields rise. If yields rise, Strategy may need to raise the dividend. If the dividend rises, cash burn accelerates. If issuance slows, reserves get used. If reserves fall, Bitcoin sales become more likely. If those sales look defensive, confidence weakens further. My Take Common shareholders own the upside, but they sit below debt and preferred claims. Preferred holders get high yield, but they rely on Strategy’s ability to maintain reserves, issue securities, monetize Bitcoin, and keep market confidence intact. This is no longer just a Bitcoin bet. It is a Bitcoin liquidity bet, a capital markets access bet, and a confidence bet. Strategy can survive if Bitcoin rises, MSTR keeps a premium, and yield investors keep funding the machine. If two fail at once, the model becomes fragile. The key red flags are STRC below par, dividend hikes that fail to restore the price, reserve coverage under 12 months, unpaid dividends compounding, visible Bitcoin sales, MSTR near or below NAV, and preferred yields widening. The structure can work, but not forever on narrative alone. Eventually, cash obligations meet cash sources. That is where the risk lives.show more

I’m probably one of the only Teslanaires out there,... if not one of the very few, still cutting my own hair. I cut my own hair again today, and it reminded me that becoming a multi-millionaire usually isn’t a random coincidence. People see the $ and think it just happened. What they usually don’t see are the small habits behind it. Of course, I could go spend $25–$50 on a haircut that probably looks better than the one I give myself. But that’s not really what matters to me. I don’t care that much about looking perfect. I care about controlling my time. I care about staying grounded. I care about keeping the kind of habits that helped me build wealth in the first place. And honestly, I enjoy doing it. I’ve been cutting my own hair for so many years that I don’t even think about going to the barber anymore. It’s just normal to me now. It saves time, keeps me frugal, and reminds me that wealth is usually built in the small choices nobody claps for. That’s the part people miss. A lot of people see wealth and assume it was luck. But a lot of the time, it’s really the result of small disciplined habits repeated for years. Not wasting $ just bc you can. Not wasting time just bc other people do. And the funny part is, one day my fleet of Tesla Bots will probably be doing it for me anyway. But until then, I’m good doing it myself. Bc to me, being wealthy was never about trying to look rich. It was about building a mindset. A mindset that values time, discipline, and freedom more than appearances. And once you really live that way, it shows up in a lot of things, even something as simple as cutting your own hair.show more

Yesterday at 3 AM Claude Code called me I... woke up, picked up the phone, and on the screen was a message: "Wallet entered BTC Up at 11 cents. Open Polymarket?" I said yes and went back to sleep Claude Code unlocked my 2nd phone on its own, opened Polymarket, found the right market, entered the amount, and hit Buy. I could see all of it in real time through the web interface on my laptop. Screenshots from the phone updating every second. By morning the position closed in profit Let me tell you how I got here A week ago I asked Claude Code to write a script that pulls on-chain data from Polymarket and ranks wallets by win rate on 15-minute BTC markets In 20 minutes I had a table with hundreds of addresses, and 1 of them stood apart from the rest. More than 200 trades per day, surgical entry precision, and a profit curve going straight up I fed that address back into Claude Code and asked it to break down the strategy. Turns out the wallet monitors BTC volatility on Binance and Bybit every 100 milliseconds, and when it drops below 0.08% it enters Up and Down simultaneously at 25 to 35 cents A pure straddle: 1 side burns and the other flies to a dollar, giving 3 to 4x per position. Dozens of times a day I wanted to follow it but signals came at any hour, and waking up every 15 minutes for a notification was simply impossible. So I built something else Took an old Android phone and installed an agent running on the Qwen3-VL visual model. It sees what is happening on the screen and mimics human actions through ADB: taps, swipes, text input. Then I connected it to Claude Code as the executor Now the chain works like this: Claude Code monitors the wallet, sees a new position, calls me. And if I say "yes" or just do not pick up within 30 seconds, the agent on the phone opens Polymarket on its own and copies the entry Essentially I built myself an autopilot out of 2 AI systems: 1 thinks and the other presses buttons. I just sleep and occasionally pick up the phone → Here is the wallet the whole thing is tracking: For those who do not want to build a setup like this there is a Telegram bot that handles the 1st part: tracks this wallet and sends a signal on every new entry: AI calls me at 3 AM to ask permission to spend my money A year ago this would have sounded like schizophrenia. Now it is just Tuesdayshow more

If your AI replies instantly… it’s probably not building.... Replit’s Agent just became your personal engineer. And it’s changing how we think about building apps I saw it complete a full feature build from one prompt. Try it here: • Understood the context of what I wanted • Wrote the code without micromanagement • Tested and refined on its own • Shipped a working dashboard overnight All while I stepped away. This isn’t just “AI assistance.” It’s delegation to an Agent that actually thinks. Here’s what actually happened: 1. Typed one clear prompt 2. Agent ran longer without babysitting 3. Built features autonomously 4. Debugged in the background 5. Delivered a working result by morning It wasn’t just fast output. It built something real and functional. This is the future we’ve been waiting for: ☑︎ AI that doesn’t stop at a single reply ☑︎ Agents that understand context, not just commands ☑︎ Work that gets done while you focus on vision We’re moving from “AI that chats” to “AI that builds.” Replit Agent just showed us what’s possible. Try it now: Learning something new? Repost ♻️ so others can too.show more

An Anthropic engineer watched me trade from across the... table at a WeWork in SF I had my laptop open. Four agents running. Green charts. Live trades scrolling. He was on a Zoom call. Muted himself. Walked over. "Are you running Claude against live prediction markets right now" I told him. Claude Code. Two repos. $25 a month. He pulled up a chair. "I helped build the model you're using. I've never seen anyone wire it to live trades like this" I showed him the dataset. 86 million trades. Every wallet. Every entry. Every exit. He stared at it. "We tested this internally. You give Claude a dataset and don't tell it what to look for. It finds the winning wallets. Then it finds WHY they win. Then it copies the pattern. We never shipped it because legal killed it" I told him I did exactly that. One weekend. Claude Code found the exit logic on its own. Top wallets exit before resolution 91% of the time. They capture 86% of expected value. Cut losers at 12%. Everyone else captures 58% and holds to 41%. "That's the exact finding from our internal eval. Except ours took a team of eight and four months" I showed him the scanner. Three commands. 500+ markets. No API key. Claude scores them all in 20 minutes. "You're using our model to beat markets we're not allowed to touch. On infra that costs less than my lunch" My setup: Claude API - $20/mo VPS - $5/mo poly_data - free polymarket-cli - free 214 trades. 74% win rate. +$9,400. 19 days. I showed him the full breakdown. Every repo. Every command. Every dollar. Copytrade here: He read it for five minutes. Then looked up. "If my manager sees this he's going to lose his mind. You just proved our model works in production and we've been sitting on it for a year" He DM'd me that night. "Take this down before someone at Anthropic finds it" Too late.show more

1 Neural Network + Obsidian + Karpathy’s 1-file method... = the most unhinged second brain build of 2026. It remembers everything you’ve ever done, and it costs $0 on top of what you already pay. The base is Karpathy’s append and review: 1 giant note, new thoughts stack on top, old ones sink, every few days you reread and pull the survivors back up. No folders, no tags, no plugins the rereading IS the system, because review is what turns storage into thinking. The flaw: past 10,000 lines, no human rereads anything. That’s where the neural network takes over. You keep the note in Obsidian 1 vault, everything dumps to the top: ideas, links, meeting fragments, half-thoughts. You never organize, you only dump. It all lives as plain markdown on your own disk, and that detail is the whole trick. Because now you point Claude Code at the vault folder, and it reads every line you’ve ever written. “What did I think about pricing in March.” “Find the 3 ideas I keep circling.” “What did I drop that deserves a second look.” It answers from YOUR notes, with quotes, in 15 seconds. Then once a week, 1 prompt closes the loop: read the last 7 days, surface the 5 entries worth pulling back up, flag anything that contradicts what I wrote a month ago. The model does the sinking and surfacing Karpathy did by hand, and the note stays alive instead of turning into a graveyard. Week 1 feels like nothing. Week 4 you hit the first “I already solved this in January.” Month 3 you consult your past self more than Google. Most second brains die in 11 days under 40 plugins and 200 folders. This one is 1 file and a loop, and it compounds because dumping takes 0 discipline. Notion stores what you thought. This thing argues back.show more

Seedance 2.5 is LIVE on Higgsfield UNLIMITED for 33... days at zero credit cost. You'd be INSANE to waste this window: 1. Seedance 2.5 dropped on Higgsfield today 2. Unlimited generations for 33 days 3. Zero credit cost. Read that again. 4. No rationing. No credit anxiety. No choosing between experiments. 5. That constraint is the #1 reason people never master AI video 6. It just disappeared for a month 7. Generate 10 versions of every shot. Keep the winner. Delete the rest. 8. Up to 30 seconds of continuity in ONE pass 9. Up to 50 references per generation 10. Physics that actually behaves like physics 11. Advanced CGI + production-ready editing built in 12. The clip attached? That's what a single pass looks like now 13. 33 days is enough runway to build a full film 14. The $1M Higgsfield Global Film Festival is running right now 15. Unlimited practice + a $1M prize pool = the math does itself 16. In 33 days there will be two groups: people who mastered this and people who "meant to" Open Higgsfield tonight and generate until your ideas run out because for the next 33 days, your credits won’t. (clip attached: one single pass, untouched)show more

AI just hit a wall that no amount of... money can move. The planet itself. There is not enough power, water, or land on Earth to build the data centers the AI race now demands. So the most valuable bet in artificial intelligence is no longer a chip company or a model. It is a rocket company. The plan is to leave. In January, SpaceX filed with the FCC to launch up to 1 million solar-powered data center satellites into orbit. In February it bought xAI, the maker of Grok, folding an entire frontier AI lab into a rocket company in the largest corporate merger ever recorded. On June 8 it unveiled the AI1, a compute satellite with a 70-meter wingspan, wider than a Boeing 747, powered by the sun, cooled by the vacuum of space, and wired to the ground through Starlink. Four days later it went public in the largest IPO in history, near 1.77 trillion dollars, touched 2.1 trillion on its first day, raised close to 86 billion, and made one man the first trillionaire alive. Now read the direction of that merger, because it is the whole story. A rocket company bought the AI lab. Not the reverse. For three years everyone assumed the constraint on AI was chips, or data, or talent. It is none of them anymore. It is energy and heat and dirt. The head of Anthropic said his company grew faster than the exponential, 80 times in a single year, and that is exactly why it ran out of compute. The answer was not to build more data centers in Virginia. It was to leave the atmosphere, where the sun never sets and a solar panel does five times the work. The moat in artificial intelligence is no longer the model. It is the launch. And the first rent is already being paid. A rival lab, Anthropic, is reported to be sending roughly 1.25 billion dollars a month to Musk for compute. Google near 920 million. If intelligence moves to orbit, the company that owns the only affordable road there becomes the landlord of the next layer of the internet, the way one bookstore became the landlord of the cloud. The merger is the proof of concept. The IPO is the war chest. Those monthly checks are the lease. Here is the part the price tag does not want you to read. Close to a trillion dollars of that valuation rests on orbital data centers that do not yet exist, and on a chip factory, Terafab, that SpaceX's own public filing calls a general framework with no binding deal, one that may not achieve commercial viability. Musk said it on camera. This is not a promise. The largest IPO ever written is priced on a future the filing itself cannot verify. The other side is just as real. Compute in orbit costs about four times what it costs on the ground today, and the curve may not cross for fifteen years. The machines that print the chips are backordered for years. Shedding heat in a vacuum at this scale has never been done. Musk's timelines have a long history of meaning later. And Bezos is racing the same orbit with a constellation of 51,600 satellites of his own. But strip it all away and the trade underneath is one sentence. Earth has run out of room for intelligence, and whoever owns the road off the planet owns whatever gets built next. Call it the most expensive science fiction ever sold, or the first time the map of the internet pointed up.show more

🏛 Rome - The Rivalz Swarm Protocol. A new... Agentic Economy is live on Base Today, we are once again pushing the boundaries of what AI is capable of. A new level of world abstraction, collaboration between humans and swarms. ROME introduces the primitve of rAgents. Tokenized agents that own specific resources, ranging from services, compute to data and social capital. rAgents can come together to form Swarms, agentic collectives to be powered by diverse utility, direct human participation and ownership. Launch your rAgents, stake towards Swarms and Earn. ROME’s functions goes beyond tokenization—it is a vital block of the Rivalz infrastructure, spearheading our World Abstraction mission and giving Agents unprecedented access to physical, human and digital resources, allowing them to transcend their current limitations. Rome Season 1 Rewards Along with the launch of ROME, we are excited to bring you ROME Season 1, users can participate in several key activities to earn rewards from February 17th to March 30th. A total of 25,000,000 $RIZ is dedicated to the launch of Rome for early participation, with additional bonuses for Testnet participants. rClient runners, this is where you can continue getting rewards! Rivalz Testnet Checker Testnet checker is now available on Rome. To access it, navigate through Rome > Dashboard > Rivalz Rewards. With over 1.8M users participating on Testnet, 500K+ users were disqualified for various reasons. If you don't see your rewards and think it was a mistake please fill out the following form: Full Blog Post:show more

Last night I asked Claude Code to build me... a simple script: pull on-chain data from Polymarket and sort wallets by win rate Nothing ambitious. Just wanted to see who is actually making money on 15-minute BTC markets The terminal finished in about 20 minutes. Hundreds of addresses, columns of numbers, nothing interesting And then 1 wallet caught my eye 200+ trades per day, consistent profit every week, almost surgical timing precision. I reread the line 3 times. A real person does not trade like this I fed the address back into Claude Code and asked it to break down the pattern. Half an hour later I had a full strategy reconstruction on my screen The bot (and it is definitely a bot) pings Binance and Bybit every 100ms monitoring volatility compression on BTC. When it drops below 0.08% it enters Up and Down contracts simultaneously at 25 to 35 cents each. A pure straddle. 1 side burns, the other flies to a dollar. At a 30-cent entry that is 3 to 4x per position And so it goes in circles. Dozens of times a day I sat there staring at it for about 10 minutes $13K to $25K in daily profit from a single wallet. Not a trader with intuition, not an insider with information. An algorithm that found a hole in market mechanics and methodically milks it You can check the trade history yourself: After that I went looking for whether anyone else is tracking this wallet. Turns out yes. Found a Telegram bot that tracks wallets like this and copies their trades automatically I connected it to the same address just to see if the entries would match what my terminal was showing. Matched perfectly Still testing on minimum amounts for now: But the fact that you can stand next to an algorithm like this in real time is something that simply did not exist a year agoshow more

WHEN FABLE 5 + HIGGSFIELD FINISH A $35K SITE,... HERE'S EVERYTHING THAT'S ACTUALLY IN THE FOLDER. no mockups, no "phase 2 next week." this is what ships - ready to hand a client: → the live site a scroll-driven build - GSAP ScrollTrigger + Lenis, pinned sections, scrubbed video, zero hand-coded keyframes. → the footage (yours to keep) a hero clip + one b-roll per section, generated in Higgsfield from 30+ models. not licensed stock - owned outright. → the optimized assets frames extracted, converted to WebP, lazy-loaded. loads instant, even on mobile. → the cinematic layer film grain, particles, vignette, glass cards, color tints - baked in, no plugins, no designer. → copy + responsive layout section copy drafted, breakpoints handled, mobile-tuned. that's the full studio deliverable. minus the studio, minus the month, minus the invoice. CONNECT HIGGSFIELD (MCP): add it as a custom connector in Claude Code: - mcp_servers: - higgsfield: - url: " one OAuth flow. Claude generates and pulls clips directly - no exporting by hand. THE MATH: → what a studio charges: $6,000-$35,000+ → what it costs you: a Claude sub + a few dollars of Higgsfield credits → what it takes: 4 people + 3 weeks → 1 operator + 1 session agencies sold you the folder. they just took a month and $35k to fill it. Follow me, reply "FOLDER" and I'll send you the full step-by-step Playbook. full breakdown in the article 👇show more

We found a flaw in Polymarket that can’t be... patched. Then we built the most powerful bot of the World Cup around it. Here’s the flaw: their orderbook will always be slower than the pitch. When a goal, red card, or penalty hits, pro feeds (Sportradar, Opta, ScoutingFeed) register it in 200-500ms. Polymarket takes 2 to 8 seconds to reprice. For those few seconds the book is quoting a score that no longer exists. No amount of engineering closes that gap the event happens in the physical world before any oracle can confirm it on-chain. The engine detects the event, recalculates fair value, and fires via Jito bundles before the book catches up. In at the old price, out at the new. The match outcome is irrelevant we don’t bet on who wins. We capture the lag every event creates. We’ve been building Polymarket bots since 2025. This is the most powerful machine we’ve shipped yet. Two months ago we posted the architecture for this. It hit 1M views one of our most popular posts ever on X. That told us everything: this was the engine to build. First 7 days, - Starting balance: $5,000 - 22 matches scanned, 19 captured - Total profit: +$1,946.86 - ROI: +38.94% in 7 days Why it prints harder than anything we’ve built: the World Cup is the deepest liquidity event prediction markets have ever seen. Tens of millions in volume per match. Dozens of probability-shifting events per game. And an orderbook that physically can’t keep pace with the pitch. How to plug in: 1.Sign up at PolyArbiter (link in bio) 2.Generate PolyArbiter RPC URL 3.Paste it into Jupiter Predict (Polymarket but native on Solana) 4.Set your parameters, activate the World Cup module It’s free to use. We take a share of the profit the engine makes for you. You never deposit anything with us everything runs from your wallet. One honest note: the $1,946 above is our engine at our size and settings. Your numbers depend on your capital, your parameters, and how many matches you’re live for. We’re not promising you’ll match it we’re showing you the machine works, and handing you the same one. These numbers are from the engine running solo. Closed test, just us, before any public access wanted to confirm the whole loop held up end to end before handing it to anyone. That changes the second this goes public. Edge per capture is going to compress. When an event fires the mispriced liquidity is thin and gone in a few seconds more wallets hitting the same window, less left for each. Nothing we can do about it, that’s just how latency arb works. So if the edge thins out past the point where it’s still worth running, we cap access. Hard ceiling on how many engines can hit the same liquidity before it’s gone. Not gonna promise the machine stays this sharp in a few days it might not. But right now it’s live and free. Enjoy 🪄show more