Walrus 🦭/acc

🦭 Walrus turns one and we want to hear YOUR voice. Write about why verifiable data matters–the tech, the use cases, the vision–for a chance to win up to $1000 in WAL. Share your take as a thread, article, or whatever format works for you. 🏆 Prizes 1st place: $1000 in WAL 2nd place: $600 in WAL 3rd place: $400 in WAL How to enter: 1. Write your take on why verifiable data matters (600 words minimum) 2. Post it to X as a thread, X article, or long form post 3. Reply to this post with a link to your submission 4. Tag @WalrusProtocol in your post Submit by April 17. Full details: 👇

@rohanpaul_ai AI shifts jobs, but builds new ones. The constant is the data behind it 🦭

Goldman Sachs released a report analyzing how AI will shift the job market. - Found that AI could automate tasks making up 25% of work hours in the US. - Globally this exposes about 300mn jobs to some level of automation. - This transition is expected to take around 10 years to fully unfold. - During this period roughly 6% to 7% of workers might face displacement. If this happens smoothly the unemployment rate would only rise by 0.6%. - But the technology will also create entirely new categories of work. - Building the physical infrastructure for AI requires massive labor. The US alone needs 500,000 new workers by Dec-30 to handle electrical power demands. - Construction jobs related to data centers already grew by 216,000 since Oct-22.

@MilkRoadAI As physical infrastructure gets automated, the real moat shifts to the data layer. Ownership is one thing. Verifiability is another 🦭

One of the richest men alive just put a target on every factory worker's job in America. This is a $100 billion fund built to acquire physical companies and gut them with AI. Jeff Bezos said it himself, AI is the new electricity, it will be inside everything, underneath everything, powering everything. Project Prometheus already raised $6.2 billion, recruited top engineers away from OpenAI, DeepMind, and Meta, and has been operating in near-total secrecy. The playbook is simple and brutal. Find manufacturers that AI is already disrupting, buy them at a discount, then automate whatever human labor remains Bezos has his sights on aerospace firms, computer manufacturers, and automobile companies. The investors he is courting are not small players either. He has been in talks with JPMorgan's Jamie Dimon and Abu Dhabi's sovereign wealth fund, two of the most powerful pools of capital on Earth. Analysts are already comparing this to J.P. Morgan in the 1890s, when he bought failing railroads and steel mills and consolidated 67% of U.S. steel production under one roof. Bezos already controls the cloud infrastructure that most of the world's businesses run on. And now he wants to own the physical factories that build everything those businesses sell. He turned a bookstore into the backbone of global commerce. He is running the exact same playbook again, just with assembly lines instead of warehouses. He is not betting on one company winning the AI race. He is building the infrastructure layer underneath all of them, physical, automated, and impossible to ignore.

@AlexHormozi Capability compounds fast. The edge is in how you use it and the data behind it 🦭

New entrepreneurs worry way too much about whether something is scalable and not enough about whether it's valuable. Solve real problems and real money follows.

@kucoincom of course X

First app you open in the morning. Be honest.

@Poloniex infra

Which crypto narrative is currently underpriced and overlooked? ✏️___________.

@Ric_RTP As capability expands, the real limit becomes vision. And the data behind it 🦭

Jensen Huang just called out every CEO who’s been firing people “because of AI.” Jim Cramer asked him why companies are laying people off if AI is supposed to make everyone MORE productive. Jensen's answer: "For companies with imagination, you will do more with more. For companies where the leadership is just out of ideas, they have nothing else to do. They have no reason to imagine greater than they are. When they have more capability, they don't do more." Read that again. The man who built the most important tech company on Earth just told you that if your CEO is using AI to cut headcount, it means one thing: They have no imagination. They have no vision for what comes next. They got handed the most powerful tool in human history and their FIRST instinct was to fire people. This is the CEO of NVIDIA. The company whose chips power every AI system on the planet. If anyone on Earth has the right to say "AI replaces workers," it's Jensen Huang. And he said the OPPOSITE. He said every carpenter could become an architect. Every plumber could become an architect. AI elevates capability. It doesn't eliminate it. But here's where it gets really interesting... During the same interview, Jensen revealed something nobody's talking about: He said AI startups like OpenAI and Anthropic are seeing their revenues increase by one to two billion dollars a WEEK. And he wishes these companies were public so the world could see what he sees. One to two billion per week. That's a $50 to $100 BILLION annualized run rate. For companies that most people think are burning cash and making nothing. The entire Wall Street narrative that "AI companies aren't profitable" might be completely wrong. Jensen sees their numbers. He sees their compute orders. He sees their growth. And he's saying the revenue is real. So if the money IS real, why are other companies firing people? Because they're not building AI products. They're not creating new revenue streams. They're not using AI to expand into new markets. They're using AI as an EXCUSE to cut costs because they ran out of ideas 3 years ago and need something to tell the board. Jensen's company added $500 billion in new orders in 5 months. He expects $1 trillion in cumulative revenue through 2027 from just two product lines. That number doesn't include the new chips, systems, or partnerships announced this week. And he's not cutting people. He's hiring. Because when you have imagination, more capability means MORE opportunity. Not less headcount. Meanwhile Salesforce cut thousands. Meta cut thousands. Amazon cut thousands. All blaming "AI efficiency." Jensen's response: You're out of imagination. He also said something that stuck with me. Cramer asked if he ever thought he'd build a $10 to $20 trillion company while waiting tables at Denny's. His answer: "I was just trying to make it through the shift." Biggest tip he ever got? Two, three dollars. Now he's building tech that increased computing demand by one million times in two years. He announced OpenClaw, which he says is as big as ChatGPT. And he's got 21 months of new business that isn't even counted in the trillion dollar figure yet. When asked how long he plans to keep working? "I'm hoping to die on the job. And I'm not hoping to die anytime soon." This is a man who believes every single thing he's building. And his message to every CEO using AI to justify layoffs is simple... You're not innovating. You're surrendering. The technology wasn't built to shrink companies. It was built to make them limitless. If your leadership can't see that, the problem isn't AI. It's THEM.

@WSJ As industries automate, the real edge is in the data behind them. That’s where Walrus comes in 🦭

Breaking: Jeff Bezos is in talks to raise $100 billion for a new fund that would buy manufacturing companies and use AI to automate them wsj.com/tech/jeff-bezo…

@Ledger GM! I love this idea hahah

gm, on a mission to get 1000 gm's today!

@herrmanndigital honestly? blink once and you’re already behind 😅

How do you all keep up with all the AI shit? Like it's insane.

@addyosmani Taste still matters. Walrus keeps it verifiable 🦭

AI doesn't replace taste. It multiplies whatever taste you already have.

@Cointelegraph of course walrus 🦭

Which crypto project actually has the strongest community on X right now? Let’s test it 👇

@krakenfx diamond hands are forged. verified data is what you hold 🦭

Diamond hands are made under pressure.

@Kylechasse As agents take over workflows, the question becomes what data they rely on and whether it can be trusted 🦭

🚨 PEOPLE ARE USING AI TO RUN ENTIRE BUSINESSES NOW AI agents are handling complete workflows autonomously. Snowflake's SnowWork queries datasets, generates reports, and prepares presentations in one go. Mandel AI manages supplier quotes, tracks orders, and alerts disruptions 24/7. 85% of routine coordination runs without humans touching it. 40% of enterprise apps will have AI agents by end of 2026. Delegation, not assistance.

@NoahKingJr adoption always follows utility. the shift is already happening 🦭

People who hate AI today will depend on it tomorrow.

@itszach Privacy only works when data access is verifiable and controlled 🦭

Privacy is a fundamental human right. Identity systems should protect it, not exploit it.

@okx gm gm

gm group chat say it back

@animocabrands @AvaLabs @avax As adoption scales, so does the need for verifiable, reliable data.

We are announcing a strategic investment in and partnership with @AvaLabs, the company dedicated to advancing the adoption and scalability of the Avalanche ecosystem. The aim of the partnership is to support the @avax ecosystem’s growth and adoption. By aligning Avalanche’s scalable architecture with institutional access and distribution channels, the partnership aims to strengthen Avalanche’s position as a leading platform for real-world blockchain adoption. Details: buff.ly/tzFq3De

@JuliaEMcCoy AI levels access. Verifiable data keeps it honest 🦭

AI is the greatest equalizer in human history. It doesn’t care about your zip code, your skin color, your degree, or your last name. It only cares about what you do with it.

@AltcoinDaily Big step for Sui. Bitcoin finally gets real utility here.

JUST IN: SUI launches Hashi devnet, allowing #Bitcoin holders to earn yield, lend, and borrow without selling. A new era of Bitcoin finance on #Sui. 🚀