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Introducing the new Data Grid, rebuilt on TANSTACK Table v9 for shadcn: ✅ Headless by design: own the TanStack instance. ✅ Base UI and Radix by WorkOS support, identical API. ✅ Compatible with 8 shadcn/ui styles. ✅ One feature bundle, zero row-model wiring. ✅ Sorting, filtering, faceting, grouping. ✅...

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🔥 Pi Network Has Officially Entered Beast Mode – Global Payment Giants Now Support It! While others doubted, we built. While the world watched, Pi Network quietly integrated with the biggest financial platforms on Earth. And now… we’re ready. 💪🌎 💥 The Walls Are Down. Pi Is Borderless. The Open Mainnet is live, the infrastructure is in place, and now the final pieces are falling into place — Pi Network is supported by a massive alliance of global payment powerhouses, including: 🛡️ Exchange Titans & Fiat Gateways: •✅ Binance P2P •✅ Binance Connect •✅ Transak •✅ Sardine •✅ Topper •✅ UTORG •✅ Paybis •✅ Onmeta •✅ Onramp Money •✅ •✅ TransFi •✅ DFX •✅ Alchemy Pay •✅ Banxa •✅ BTC Direct •✅ Coinify •✅ MoonPay •✅ Fonbnk •✅ GateConnect •✅ Unlimit •✅ Guardarian •✅ Koywe •✅ LocalRamp •✅ Yellow Card 💳 World-Class Fintechs Now Support Pi: •✅ Stripe •✅ Skrill Crypto •✅ Revolut 🌐 This Is Bigger Than Just Crypto Stripe and Skrill aren’t just crypto services — they’re global payment kings. And now they’re helping Pi bridge traditional finance with the new digital economy. Revolut is a top fintech unicorn, and it’s already supporting Pi. Binance is the biggest crypto exchange in the world — and it’s ready. Let that sink in. 🔥 🚀 Why This Changes Everything •🌍 Anyone can access Pi, anywhere in the world •🏦 Buy and sell Pi directly with bank cards, local fiat, Apple Pay, and more •💼 Businesses can now prepare to integrate Pi into payments •🧠 Investors now see the foundation for real-world use and massive growth This is what true mass adoption looks like — infrastructure before hype. Utility before listing. Power before price. 🔮 The World’s Not Ready, But We Are. While other coins chased listings, Pi Network built alliances. While others pumped and dumped, Pi built its own economy. And now? The rocket is fully fueled. We’re not waiting for the future — we’re building it. “You don’t have to be first. You just have to be the one who finishes the race prepared. And Pi Network is ready to dominate.” 📢 Pioneers, Stand Tall Your patience, your faith, your mining, your contribution — it’s all paying off. With 40+ global financial platforms now supporting Pi, we’ve gone from an idea… to an unstoppable force. 🎯 Pi Network is not just another crypto project. 🚀 Pi is the people’s currency — and now the world is opening its gates to it. 📣 Share this. Shout it. Post it. Let every Pioneer know — Pi is ready. Let every skeptic watch — we told you so. Let every investor understand — the game has changed. Pi is no longer coming. Pi is here. 🔥 And the world is about to feel it. Pi Network Nicolas Kokkalis Chengdiao Fan ✅✅✅✅🚀🚀🚀🚀🚀🚀🚀🚀

Mr Spock 𝛑

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🤩 Here is the real Show-off Card in the true sense – Amex Platinum Charge Card! Woah! What an unboxing experience 🤯✨ A real working high-quality LED video screen with sound, memory storage and switches built right into the card box itself! 🥳🎥🔊 And the best part? You can upload your own videos and photos on this LED video player. Got all this even before activating the card and without committing a single rupee towards the joining fee (joining fee is charged only if the card is activated). btw I activated it.. And here is what you get after activating 👇👇 🎁 Welcome Benefits ✅ ₹60,000 worth of The Postcard Hotel vouchers OR ✅ ₹50,000 worth of Taj Experiences Gift Cards (usable for stays, dining, spa, beverages etc. at Taj properties) 🎯 Referral Offer (Till 30th June 2026) ✅ 25,000 Amex Points as referral bonus 👉 My Referral Link: 🏨 Premium Hotel Memberships & Elite Statuses ✅ Accor Explorer Membership ✅ Taj Epicure Plus Membership ✅ Marriott Bonvoy Gold Elite Status (for both self and one add-on card member) ✅ Hilton Honors Gold Status (for both self and one add-on card member) ✅ Radisson Rewards Premium Status (for both self and one add-on card member) ✅ Hertz Gold Plus Rewards Status (for both self and one add-on card member) ✅ The Postcard Hotels Sunshine Club Platinum Status (for both self and one add-on card member) These memberships can enhance overall travel experience which otherwise cost thousands of rupees if you pay on your own for hotel upgrades, discounts etc. 🏨✨ 🍽️ Lifestyle Benefits ✅ EazyDiner Prime Membership ✅ Ace by Times Prime Membership Includes complimentary subscriptions of: • Amazon Prime • JioHotstar • Sony LIV • Discovery+ • Lionsgate Play • Uber One • And more 🎬 Entertainment Benefits ✅ Buy One Get One Free Movie Ticket on PVR (up to ₹500 per free ticket) ✅ Complimentary PVR Food & Beverage Voucher every month ✈️ Premium Airport Lounge Access Unlimited access for Primary + One Add-on Card holder ✅ The Centurion® Lounge ✅ Priority Pass™ Lounges ✅ Delta Sky Club® Lounges (when flying Delta) ✅ Escape Lounges ✅ Domestic Partner Lounges in India 👨‍👩‍👧 Family Benefits ✅ One complimentary guest access at Centurion Lounges ✅ Complimentary access for children below 12 years at Centurion Lounges when accompanied by the primary cardholder ✅ Complimentary Platinum Charge Add-on Card for one family member ⛳ Golf Benefits ✅ Complimentary Golf Games ✅ Complimentary Golf Lessons (For both primary and one add-on card member) 🏨 Luxury Hotel Programs ✅ Fine Hotels + Resorts (FHR) Benefits • Complimentary breakfast • Room upgrades (subject to availability) • Early check-in / late checkout • Property credits at select hotels ✅ The Hotel Collection Benefits • Hotel credits • Room upgrades at participating hotels 🎩 Premium Services ✅ Concierge Services ✅ Global Travel Assistance ✅ Emergency Card Replacement Support ✨ And many other premium travel and lifestyle benefits. 💰 Joining Fee: ₹77,880 (including GST) My Take 👇 This card is a premium lifestyle card and definitely NOT for everyone. I took it only for the first year because of the heavily loaded welcome benefits, referral bonus points, elite hotel memberships and premium travel privileges, many of which are quite useful for my upcoming travel plans. ✈️🌍 The premium lounge programs are a nice add-on, but for me the real value lies in: 🏨 Hotel memberships 🎁 Welcome benefits ✈️ Travel privileges 🎯 Referral bonus points Looking at the overall value proposition, my effective first-year cost is negligible for my use case. Will I renew it next year? Most probably not, unless they provide a great renewal offer😄 But as a one-time experience, the unboxing, welcome gifts, premium memberships and overall treatment make it a true Platinum experience. 🤩 #creditcard #spendwisely #creditcard

SpendWisely

23,557 Aufrufe • vor 1 Monat

A team tested Pi0, Pi0 Fast, Gr00t, and ACT on real robot arms in manufacturing tasks. (🔖 Bookmark this for later!) The task was precise: place thin rectangular frames from a messy stack into a holder. The team fine-tuned each model on 100 real trajectories and compared training time, inference speed, motion quality, and success rates. ⬇️ Here’s a breakdown of what they found Pi0 (Original) ✅ Strongest overall performance in precise pick-and-place ✅ High success rate even in edge cases ✅ Longest training time (~11 hours, ~$30 per run) ✅ Inference time of 80 ms causes short pauses between actions Despite delays, it handles complex scenarios well… solid for high-precision tasks, but slow to train. Gr00t ✅ Trains fast (~2 hours, ~$5 per run) ✅ Performs almost as well as Pi0 on large-object tasks ✅ Struggles with fine precision; random movement in some trials ✅ More training didn’t fix jitter or random offsets Best suited for tasks where exact precision isn’t critical. Not ready for manufacturing-grade accuracy without more tuning. Pi0 Fast ✅ Promised faster training, but results were underwhelming ✅ Training at 6 hours still showed low success rates ✅ Inference was slower than expected ✅ Not reliable for generalizing even slightly new tasks Currently too unstable for real-world deployment. Doesn’t live up to the “Fast” name yet. ACT (Baseline) ✅ 200MB model—lightweight, but limited ✅ Struggles with stacked objects or ambiguous scenes ✅ Success rates around 70% in best-case setups ✅ Can’t match newer models on precision or generalization Still a solid baseline, but clearly a generation behind in robustness. 🚨 Extra Notes All newer models share a common issue: •Inference takes longer than a frame (80 ms vs 33 ms), so robots “pause” between chunks. •This results in jittery movements, but not a dealbreaker unless tasks are time-sensitive. Language-conditioned tasks also fell short: after training on two labeled tasks, the model couldn’t generalize to a third unseen combination using only text prompts. ✅ The good news? These models adapt well to new robot arms with quick fine-tuning. ❌ The bad news? There’s still no plug-and-play solution for improving performance after deployment. Reinforcement learning or DAgger-style data collection during real-world operation may be the next big step, something many teams in robotics are actively working on.

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Decentralised News

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