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Aaukat Gurchestham Ready ga undu Source :- ABO / T2b Live ☑️

NTR Holic 🐉

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Next year chinnaswamy lo finals anta ready ga undu SunRisers Hyderabad 😙😙

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$NEIROETH Neiro On Ethereum perpetual futures now live and ready to trade! Why choose Kraken Pro futures: ☑️ 30+ collateral options ☑️ Diverse profit payouts ☑️ 280+ markets Open NEIROETH perp: *Geo restrictions apply

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Intear Wallet is live. After 3 weeks of active development, the fastest open-source wallet is ready. Why switch to Intear Wallet? Read below 👇

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D-Ecosystem's AIRDROP is finally live! 🔥 Ready to embark on the pinnacle of your crypto career? ⚡️ Visit to join! ☑️ For airdrop details, visit our medium blog: Be part of the D-Emocracy, be part of D-Ecosystem! 🔥

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GROK IS LIVE—NO 𝕏? NO PROBLEM Elon’s AI is officially live, serving up real-time answers, killer image generation, and futuristic modes like Visualize. No 𝕏 account needed—just log in with your email and let Grok do its thing. This is next-level AI, ready to roll. Source: 𝕏

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113,619 views • 1 year ago

PHASE 3: #Node Rental Onboarding! 🔥 We’ve successfully completed all setup operations, and our Nodes are primed and ready for use! After extensive testing of both our platform and hardware, we’ve fine-tuned each node to ensure peak performance for their designated tasks. ✅ Phase 1: Setup ✅ Phase 2: Testing ☑️ ➤ Phase 3: Launch ☑️ Phase 4: Scaling For this phase we are focussed on customer onboarding, as well as monitoring the performance and energy use of our Nodes for future refinement. Our #NodeRental service officially goes live: 🗓 Wed 16th Oct | 5 PM UTC

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LAKE

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X PAYMENTS GOES LIVE: FINANCE, UNCHAINED Elon just dropped X payments, and it’s ready to start moving markets. * P2P payments launched Dec 18, live across the U.S. in beta * Zero-fee instant transfers via wallet: bank, card, crypto (coming Q1) * Over 1M sign-ups in 72 hrs, app downloads jumped 12% globally * “X Credit” offers up to $1,000 in instant loans for verified users * Bypasses banks entirely: fast, direct, and built for scale No legacy gatekeepers. No friction. Just alternative payments with the X factor. Source: xAI, TechCrunch

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Mario Nawfal

753,549 views • 7 months ago

$\🐯 関西在住以外の虎ファンに朗報🐯/ 阪神優勝パレードin 御堂筋なんと YouTube虎バンチャンネルでの LIVE配信が決定🎉 ☑️11月22日（土）スマホで、どこからでも楽しめます👀🔥 チャンネル登録して！ユニフォームを着て！メガホンをもって！ Are you ready…🐯$

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ＡＢＣは虎バン主義。

350,892 views • 8 months ago

🚨 ROBOT NANNIES ARE READY TO RAISE OUR KIDS Forget the Jetsons - your future babysitter might come with firmware updates and zero gossip about the neighbors. Humanoids are out there pushing a baby stroller like it’s "Real Housewives of 2099.” Genius’ G1 bot is strutting its nanny moves in live tests, gliding along with perfect posture, never rolling its eyes, and definitely not asking for paid vacation. Raise your hand if you’re slightly terrified... but also, can they walk dogs too? Source: cyberroboo

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🚨 One photo of your face. That's all someone needs to become you on a live video call. In real time. Right now. The tool is free and open source. It's called Deep-Live-Cam. One image. One click. You become anyone on a live webcam feed. No training. No datasets. No waiting. Instant. Your face. Your expressions. Your mouth movements. All stolen from a single photo. Here's what this thing does: → Upload one photo of any face → Turn on your webcam → You are now that person. Live. In real time. → It matches your pose, your expressions, even your lighting → Mouth masking so the swapped face moves its lips when you talk → Multi-face mapping. Swap different faces on different people in the same call. → Virtual camera output. Plug it into Zoom, Google Meet, Teams. Nobody knows. → Works on NVIDIA, AMD, Intel, and Apple Silicon Here's the part that should terrify you: Your boss could be on a Zoom call with someone wearing your face right now. A scammer could call your parents looking exactly like you. A stranger could take your LinkedIn photo and become you in a video meeting. IShowSpeed's reaction when he saw it: "What the F**! This shit is crazy!" SomeOrdinaryGamers: "That's fucking freaky dude... that's so wild." This was the #1 trending repo on GitHub the day it launched. 1,600 stars in 24 hours. 80K+ stars today. No one is ready for what this means. And it's already out there. 100% Open Source.

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Introducing MiniMax H3 on Argil Some days, the future decides to accelerate. Two days ago, we launched the new version of Argil. Today, I’m extremely happy to announce our partnership with MiniMax (official): H3 is live in Argil. We tested it internally. The quality is really solid. An intelligence that reads text, images, video and audio as one language. That captures creative intent at a glance and already delivers production-ready content. MiniMax H3 will soon be open source. And that’s a real game changer. For the occasion, Golden Ticket: 40% off Pro & Business yearly during MiniMax Hive until tonight. Comment "argil" I’ll send you the code in DM. To those who create: the field just got wider. Link 👇

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23,030 views • 13 days ago

NVIDIA just made AI detect objects 10x faster by deleting one step. It's called LocateAnything, and it removes the biggest bottleneck no one else was fixing in vision-language models. Normally a model builds each bounding box one coordinate token at a time. 100 objects means thousands of tokens before an answer. NVIDIA scrapped that: their Parallel Box Decoding predicts the whole box in a single forward pass, as one atomic unit. → 12.7 boxes/sec on one H100 → 10x faster than Qwen3-VL → +3.8% F1 on LVIS, accuracy up, not down → 3B params, runs on one consumer GPU Treating the box as one unit keeps its coordinates tied together, which is why accuracy climbed instead of falling. One model handles detection, GUI grounding, OCR, and document understanding, ready for computer-use agents, robotics, and document pipelines. 100% open source, weights, code, demo, and paper all live.

NVIDIA just made AI detect objects 10x faster by deleting one step. It's called LocateAnything, and it removes the biggest bottleneck no one else was fixing in vision-language models. Normally a model builds each bounding box one coordinate token at a time. 100 objects means thousands of tokens before an answer. NVIDIA scrapped that: their Parallel Box Decoding predicts the whole box in a single forward pass, as one atomic unit. → 12.7 boxes/sec on one H100 → 10x faster than Qwen3-VL → +3.8% F1 on LVIS, accuracy up, not down → 3B params, runs on one consumer GPU Treating the box as one unit keeps its coordinates tied together, which is why accuracy climbed instead of falling. One model handles detection, GUI grounding, OCR, and document understanding, ready for computer-use agents, robotics, and document pipelines. 100% open source, weights, code, demo, and paper all live.

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201,595 views • 1 month ago

Fable 5 is INSANE for creating ads i built an agent that studies your competition and thousands of viral ads, then gives you a full viral blueprint for your brand to copy just feed it a product photo and a landing page link and competitors names, 3 minutes later you've got a proven creative playbook for your ads, here's how it works: - scans your brand's own website (copy, offers, structure, CTAs) - scans competitor websites (you list them, or Claude finds likely ones for you) - pulls live ad data straight from Meta Ad Library + TikTok via spytools - extracts proven hooks, scripts, and visual/creative patterns from every source - synthesizes everything into one swipe-file library - output is a ready-to-paste doc, drop it into Claude and generate new ad scripts from proven angles instantly - runs locally, one command, your own API keys, no video generation step slowing you down runs 100% local, without $300/mo on spytool subscriptions or agency fees, full control, and API cost only RT + reply w/ "AGENT" and i'll send it to you so you can use it for your brand (must follow so i can DM)

MAX

143,429 views • 1 month ago

Impeccable 3.7 brings linting to design. Until now it was a skill you asked for help. Now it's a design-system-aware feedback loop that runs while your agent builds, catching slop and design drift before they land. 🪝 Design hooks for Claude, Codex, and Cursor They run after every UI edit and quietly nudge your agent to fix slop and drift. The output isn't another wall of lint: it separates new findings from already-seen ones, flags clean scans, and asks the agent to use judgment. Fix real issues, leave intentional demos alone, save exceptions to config instead of littering your source. 🎨 Slop detection is now project-aware Reads your actual design system from DESIGN.md, your typography, palette, radius scale, and tokens, and flags drift from your system, not just generic AI slop: • this font isn't in your design system • this color is outside your documented palette • this radius doesn't match your rounded scale The same engine powers both the hooks and the CLI, and it's where we're investing next. 🖥️ Live Mode, ready for real projects Svelte/SvelteKit now preview variants as temporary framework components with live params, then accept cleanly back into your source component. Manual text edits got evidence / apply / discard routes, insertions preserve their anchors, and mapped lists and JSX slots clean up far more reliably. ⚡ Leaner core, sharper detector Rule-level evals across 3 providers and 4 niches cut guidance with no measurable lift and dropped examples that taught models bad patterns. The detector now skips hidden and screen-reader-only elements, understands OKLCH alpha and Sass-like inputs, and tightened checks for repeated kickers, oversized H1s, clipped overflow, and cramped padding. 🛠️ CLI caught up impeccable detect loads DESIGN.md by default, motion findings name the exact token or cubic-bezier instead of just "bounce," and impeccable ignores gives real CRUD for exceptions. Hooks and CLI share the same ignores. No split-brain config. Plus a much-improved interactive installer with hooks setup built in. Upgrade: npx impeccable install npm i -g impeccable

Impeccable 3.7 brings linting to design. Until now it was a skill you asked for help. Now it's a design-system-aware feedback loop that runs while your agent builds, catching slop and design drift before they land. 🪝 Design hooks for Claude, Codex, and Cursor They run after every UI edit and quietly nudge your agent to fix slop and drift. The output isn't another wall of lint: it separates new findings from already-seen ones, flags clean scans, and asks the agent to use judgment. Fix real issues, leave intentional demos alone, save exceptions to config instead of littering your source. 🎨 Slop detection is now project-aware Reads your actual design system from DESIGN.md, your typography, palette, radius scale, and tokens, and flags drift from your system, not just generic AI slop: • this font isn't in your design system • this color is outside your documented palette • this radius doesn't match your rounded scale The same engine powers both the hooks and the CLI, and it's where we're investing next. 🖥️ Live Mode, ready for real projects Svelte/SvelteKit now preview variants as temporary framework components with live params, then accept cleanly back into your source component. Manual text edits got evidence / apply / discard routes, insertions preserve their anchors, and mapped lists and JSX slots clean up far more reliably. ⚡ Leaner core, sharper detector Rule-level evals across 3 providers and 4 niches cut guidance with no measurable lift and dropped examples that taught models bad patterns. The detector now skips hidden and screen-reader-only elements, understands OKLCH alpha and Sass-like inputs, and tightened checks for repeated kickers, oversized H1s, clipped overflow, and cramped padding. 🛠️ CLI caught up impeccable detect loads DESIGN.md by default, motion findings name the exact token or cubic-bezier instead of just "bounce," and impeccable ignores gives real CRUD for exceptions. Hooks and CLI share the same ignores. No split-brain config. Plus a much-improved interactive installer with hooks setup built in. Upgrade: npx impeccable install npm i -g impeccable

Impeccable

232,003 views • 1 month ago

I took this lesson a few days ago,one of the clearest breakdowns of how Jupiter Swap works. Let me walk you through it. So first,what even IS a Swap? Think of it like Spot Trading in traditional finance. You’re just trading one currency for another at the current market rate, except here it’s digital assets. USDC for SOL. Instant. On-chain. Simple enough. But here’s where it gets interesting…... The moment you go to swap, Jupiter doesn’t just grab the first price it sees,it aggregates liquidity from major sources. That's where Ultra V3 kicks in — think of it like an institutional trading desk firing up behind the scenes. It scans the ENTIRE market, aggregates liquidity from every major source, and routes your trade through the most efficient path possible. You’re not just getting A price for your trade. You’re getting THE best price. But it doesn’t stop there….. 🎯 Real-Time Slippage Estimation (RTSE) is running simultaneously — monitoring slippage live so your swap tolerance stays as tight as possible. No surprises. No overpaying. And on qualifying pairs? Jupiter covers the gas entirely. You just swap. That’s the Gasless feature, look for the icon when you’re executing. 📚 Two concepts you need to understand 💧 Liquidity —> How deep the market is. Deep liquidity means you can make large trades without moving the price against yourself. Jupiter taps the deepest pools on the network. 📉 Slippage —> The gap between what you were quoted and what you actually get. Volatile markets cause this. Ultra V3’s RTSE exists specifically to close that gap. ━━━━━━━━━━━━━━━ 🚀 Ready to swap? Here’s all you do ━━━━━━━━━━━━━━━ 1️⃣ Open the Trade tab → pick your Sell & Buy assets 2️⃣ Check the Execution Path — Jupiter shows you exactly how it’s routing your trade 3️⃣ Spot the Gasless icon if it applies 4️⃣ Hit Swap. Done. On-chain in seconds. And this is why the saying exists — If you want to swap smarter, Just Use Jupiter.

I took this lesson a few days ago,one of the clearest breakdowns of how Jupiter Swap works. Let me walk you through it. So first,what even IS a Swap? Think of it like Spot Trading in traditional finance. You’re just trading one currency for another at the current market rate, except here it’s digital assets. USDC for SOL. Instant. On-chain. Simple enough. But here’s where it gets interesting…... The moment you go to swap, Jupiter doesn’t just grab the first price it sees,it aggregates liquidity from major sources. That's where Ultra V3 kicks in — think of it like an institutional trading desk firing up behind the scenes. It scans the ENTIRE market, aggregates liquidity from every major source, and routes your trade through the most efficient path possible. You’re not just getting A price for your trade. You’re getting THE best price. But it doesn’t stop there….. 🎯 Real-Time Slippage Estimation (RTSE) is running simultaneously — monitoring slippage live so your swap tolerance stays as tight as possible. No surprises. No overpaying. And on qualifying pairs? Jupiter covers the gas entirely. You just swap. That’s the Gasless feature, look for the icon when you’re executing. 📚 Two concepts you need to understand 💧 Liquidity —> How deep the market is. Deep liquidity means you can make large trades without moving the price against yourself. Jupiter taps the deepest pools on the network. 📉 Slippage —> The gap between what you were quoted and what you actually get. Volatile markets cause this. Ultra V3’s RTSE exists specifically to close that gap. ━━━━━━━━━━━━━━━ 🚀 Ready to swap? Here’s all you do ━━━━━━━━━━━━━━━ 1️⃣ Open the Trade tab → pick your Sell & Buy assets 2️⃣ Check the Execution Path — Jupiter shows you exactly how it’s routing your trade 3️⃣ Spot the Gasless icon if it applies 4️⃣ Hit Swap. Done. On-chain in seconds. And this is why the saying exists — If you want to swap smarter, Just Use Jupiter.

Sam || Jupiter Legion 😺😺

34,502 views • 4 months ago