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Autoregressive diffusion models drift for long videos? 📉 We fixed it.🚀 Speed + Stability = ✅ Meeting Test-Time Correction (TTC). We stop error accumulation in its tracks without any retraining. ✅ Training-free ✅ 1 minute+ stable generation ✅ Negligible overhead

Tengfei Wang

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16,460 просмотров • 4 месяцев назад •via X (Twitter)

Anya Rossi• Live Now

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❗️THE WORLDS #1 FOOTBALL TRAINING APP IS FINALLY HERE❗️ 🚫For PLAYERS & COACHES of ALL Levels🚫 Get it here ➡️ ✅Access to 1000s of DRILLS for players & coaches ✅You can now finally download it in the App & Google Stores 📲 ✅ Available on all devices, Apple, Android, iPad & now a DESKTOP version ✅ BRAND NEW COACHES ONLY SECTION: Session planning, How we coach Pros, Voice over series & more❗️ ✅ Features Include: Direct Messaging, access to a community of thousands of players & coaches, LIVE STREAM training, Download videos offline, Create custom playlists & much much more❗️ ✅ Detailed training programs for all levels ✅ Access to discount codes, promos & 1st access to Joner Football Camps ✅ FREE TO DOWNLOAD❗️ Link in bio to take your game to another level Worlds #1 Training App Joner Football

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🤔The world’s best small models? We immediately compared Mistral-3-8B with our previous-gen model, MiniCPM-4.1 (Both in thinking) 😂The findings are compelling: ✅MiniCPM is still ～2x faster, maintaining a massive speed lead ✅It remains a full generation ahead in capabilities (excluding math/code) For developers prioritizing efficiency and speed, MiniCPM is undeniably the world's best small model.

🤔The world’s best small models? We immediately compared Mistral-3-8B with our previous-gen model, MiniCPM-4.1 (Both in thinking) 😂The findings are compelling: ✅MiniCPM is still ～2x faster, maintaining a massive speed lead ✅It remains a full generation ahead in capabilities (excluding math/code) For developers prioritizing efficiency and speed, MiniCPM is undeniably the world's best small model.

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It is time... Areon Network launches #tesnet on September 20! 🎉 Join us as we test our technology and build Areon's Layer 1 future together! ✅ Discover #AreonChain and #AreonWallet ✅ Send & receive $AREA under 100 ms ✅ Experience up to 600,000 TPS performance ✅ Mint NFTs in your Areon Wallet But wait... there is more! 🙌 Stay tuned for the next tweet, we have another important announcement for you! 👀 #WeAreOn #AreonL1 #blockchain #crypto

It is time... Areon Network launches #tesnet on September 20! 🎉 Join us as we test our technology and build Areon's Layer 1 future together! ✅ Discover #AreonChain and #AreonWallet ✅ Send & receive $AREA under 100 ms ✅ Experience up to 600,000 TPS performance ✅ Mint NFTs in your Areon Wallet But wait... there is more! 🙌 Stay tuned for the next tweet, we have another important announcement for you! 👀 #WeAreOn #AreonL1 #blockchain #crypto

Areum

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Hello Mumbai, We are Papiya (37) & Debashish (35). ✅ We provide face cam verification & real meetings. ✅ This video is our demo & confirmation. ✅ All our programs are advance & paid in advance only. ✅ Meetings happen strictly at 3/4/5 star hotels. 👉 If you can afford it, feel free to contact us. Otherwise, there’s no need to waste time or risk disrespect. 👉 We don’t entertain excuses like “I’ll pay tomorrow” or “I’ll pay on the day of the program.” 👉 No advance = No meeting Because Time is Money for us #Cam Fun #PaidMeetings #Mumbai

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Debashis papiya MumbaiCouple

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Here we go guys✅🚀 The jet engine survived the stress test✅ We pushed the engine to full power(100% throttle and 100% Afterburner) for about 12 minutes nonstop. It was critically loud, violent and powerful 🔥 My neighbor's police orderly said whenever they hear a very loud sound they know I'm back in town🤣 After the stress test the jet turbine blades still looked brand new✅, this means the exhaust design is near perfect ✅ The Exhaust Gas Temperature never exceeded 860 degrees Celsius even on afterburner mode✅, although the flame shooting out is over a thousand degrees Celsius ⚠️ For the first time, I saw some blue AB flames which looked cool🥶 On standard operation, the jet engine can now run for hours nonstop as long as there's fuel✅ The Afterburner mode pushes the engine power further, tho we have to limit it's duration due to the nature of the exhaust material currently being used. We are finally ready to take this beast to a runway and let it loose✅🚀 We will start making the arrangements immediately, thank you for your support, stay tuned as we do great things together 🙌 #Zedora #madeinEbonyi #madeinNigeria 🇳🇬

Ziko Abara

20,861 просмотров • 1 год назад

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.

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.

Ilir Aliu

21,844 просмотров • 1 год назад

Our ground speed⚠️ test video on the PROTOTYPE: We ran the Turbojet engine at 60% throttle & No afterburner for this test⚠️. The UAV prototype started accelerating to about 80km/h, as it approached high speed, control became difficult & instability set in, leading to a crash, we will need to redo the wheel placements & weight distribution✅. The UAV weighs about 65kg fully loaded, although our engine was capable of propelling it, we will need to redesign the build to reduce weight by about 40% to make flight possible & stable, we will be exploring a full aluminum or composite material build. After the crash, the wheels jammed up & misaligned, making further runway tests impossible, the power of the engine made the jammed tyres screech on the tarmac. We did not exceed 60% throttle talk more of using Afterburner mode because of control instability. We have more work and improvements to make⚡️ Things to improve : We need to reduce the weight of the build by 40%✅ We need to redesign the wheel placement for better stability on high speed✅ Alot has been learned from this outing, we will redesign the prototype to improve stability & we'll be back again Hopefully, we may be able to attempt flight #Zedora #madeinEbonyi #madeinNigeria 🇳🇬

Our ground speed⚠️ test video on the PROTOTYPE: We ran the Turbojet engine at 60% throttle & No afterburner for this test⚠️. The UAV prototype started accelerating to about 80km/h, as it approached high speed, control became difficult & instability set in, leading to a crash, we will need to redo the wheel placements & weight distribution✅. The UAV weighs about 65kg fully loaded, although our engine was capable of propelling it, we will need to redesign the build to reduce weight by about 40% to make flight possible & stable, we will be exploring a full aluminum or composite material build. After the crash, the wheels jammed up & misaligned, making further runway tests impossible, the power of the engine made the jammed tyres screech on the tarmac. We did not exceed 60% throttle talk more of using Afterburner mode because of control instability. We have more work and improvements to make⚡️ Things to improve : We need to reduce the weight of the build by 40%✅ We need to redesign the wheel placement for better stability on high speed✅ Alot has been learned from this outing, we will redesign the prototype to improve stability & we'll be back again Hopefully, we may be able to attempt flight #Zedora #madeinEbonyi #madeinNigeria 🇳🇬

Ziko Abara

143,422 просмотров • 9 месяцев назад

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🚀Introducing Hunyuan3D-PolyGen, our newly upgraded and industry-first art-grade 3D generative model. It brings effortless intelligent retopology, making AI-generated models ready for professional art pipelines. ✅ Superior Mesh Topology: Our self-developed mesh autoregressive model ensures higher-quality mesh topology that meets stringent art standards. ✅ Complex Object Modeling: Leveraging our high-compression BPT representation, we can generate models with 10K+ faces, enabling more complex geometry, higher topology precision, and better detail. ✅ Flexible Output: Supports both tri and quad meshes, meeting diverse pipeline requirements. Hunyuan3D-PolyGen enables direct application of AI-generated 3D assets in game development and significantly boosts artist modeling efficiency. It's a robust foundation for the future of 3D content creation. 👉Try it now:

Tencent Hy

161,346 просмотров • 1 год назад

I’m thrilled to announce that we just released GraspGen, a multi-year project we have been cooking at NVIDIA Robotics 🚀 GraspGen: A Diffusion-Based Framework for 6-DOF Grasping Grasping is a foundational challenge in robotics 🤖 — whether for industrial picking or general-purpose humanoids. VLA + real data collection is all the rage now but is expensive and scales poorly for this task. For every new gripper and/or scene, you’ll have to recollect the dataset in this paradigm for the best perf. 💡Key Idea: Since grasping is such a well-defined task in simulation - why can’t we just scale synthetic data generation and train a generative model for grasping? By embracing modularity and standardized grasp formats, we can make this a turnkey technology that works zero-shot for multiple settings. GraspGen is a modular framework for diffusion-based 6-DOF grasp generation that scales across embodiment types, observability conditions, clutter, task complexity. Key Features: ✅ Multi-embodiment support: suction, parallel-jaw, and multi-fingered grippers ✅ Generalization to partial + complete 3D point clouds ✅ Generalization to single-objects + cluttered scenes ✅ Modular design uses other robotics modules and foundation models (SAM2, cuRobo, FoundationStereo, FoundationPose). This allows GraspGen to focus on only one thing - grasp generation ✅ Training recipe: grasp discriminator is trained with On-Generator data from the diffusion model - so that it learns to correct the mistakes (if any) of the diffusion generator ✅ Real-time performance (~20 Hz) before any GPU acceleration; low memory footprint 📊 Results: • SOTA on the FetchBench [Han et al. CoRL 2024] benchmark • Zero-shot sim-to-real transfer on unknown objects and cluttered scenes • Dataset of 53M simulated grasps across 8K objects from Objaverse 📄 arXiv: 🌐 Website: 💻 Code: A huge thank you to everyone involved in this journey — excited to see what the community builds on top of it! Joint work with Clemens Eppner , Balakumar Sundaralingam , Yu-Wei, Jun Yamada Wentao Yuan and other collaborators #robotics #diffusionmodels #physicalAI #simtoreal

I’m thrilled to announce that we just released GraspGen, a multi-year project we have been cooking at NVIDIA Robotics 🚀 GraspGen: A Diffusion-Based Framework for 6-DOF Grasping Grasping is a foundational challenge in robotics 🤖 — whether for industrial picking or general-purpose humanoids. VLA + real data collection is all the rage now but is expensive and scales poorly for this task. For every new gripper and/or scene, you’ll have to recollect the dataset in this paradigm for the best perf. 💡Key Idea: Since grasping is such a well-defined task in simulation - why can’t we just scale synthetic data generation and train a generative model for grasping? By embracing modularity and standardized grasp formats, we can make this a turnkey technology that works zero-shot for multiple settings. GraspGen is a modular framework for diffusion-based 6-DOF grasp generation that scales across embodiment types, observability conditions, clutter, task complexity. Key Features: ✅ Multi-embodiment support: suction, parallel-jaw, and multi-fingered grippers ✅ Generalization to partial + complete 3D point clouds ✅ Generalization to single-objects + cluttered scenes ✅ Modular design uses other robotics modules and foundation models (SAM2, cuRobo, FoundationStereo, FoundationPose). This allows GraspGen to focus on only one thing - grasp generation ✅ Training recipe: grasp discriminator is trained with On-Generator data from the diffusion model - so that it learns to correct the mistakes (if any) of the diffusion generator ✅ Real-time performance (~20 Hz) before any GPU acceleration; low memory footprint 📊 Results: • SOTA on the FetchBench [Han et al. CoRL 2024] benchmark • Zero-shot sim-to-real transfer on unknown objects and cluttered scenes • Dataset of 53M simulated grasps across 8K objects from Objaverse 📄 arXiv: 🌐 Website: 💻 Code: A huge thank you to everyone involved in this journey — excited to see what the community builds on top of it! Joint work with Clemens Eppner , Balakumar Sundaralingam , Yu-Wei, Jun Yamada Wentao Yuan and other collaborators #robotics #diffusionmodels #physicalAI #simtoreal

Adithya Murali

24,106 просмотров • 1 год назад

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CryptoTelugu

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🚀 We launched The Studio by Mirror Mirror AI. Generating fashion campaigns with AI should save you time and budget—without compromising your brand’s identity or aesthetic. That’s why we built The Studio. ✨ The Studio lets brands create campaign-quality imagery in minutes, not weeks: ✅ Drag & drop your products and models—no prompting needed ✅ Instantly generate on-brand visuals ✅ Transform any shot with Editorial Mode polish After a year refining this with high-end fashion teams, it’s finally here. Early Access is now open—reserve your spot: Thank you to everyone who helped us bring this to life.

Yusan Lin

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Gumvue Studio

18,594 просмотров • 1 месяц назад

#ATXCouncil When I was elected to serve a half term two years ago, there was a very clear sense in this community that city government had lost the plot. It was clear that dramatic action was necessary - and dramatic action is exactly what we delivered. Over the past 24 months: ✅ We rebuilt our city management team ✅ We made historic changes to our land development code and streamlined our development review process to help create more - and more affordable - housing ✅ We launched a different economic development paradigm focused on new job training programs, like the Infrastructure Academy, to help Austinites build high-wage careers, even without a 4-year degree ✅ We took a new approach to fighting homelessness, which promises real results ✅ We adopted a new energy generation plan that delivers reliability and affordability while reducing the emissions that threaten our climate and air quality ✅ We transformed our 911 emergency system from a system that fell well below national standards to one that, in 2024, met those standards throughout ✅ We signed a new contract with our police officers that lays the groundwork to improve public safety across the board. In short … we got stuff done at City Hall. And I think Austin voters saw it, and liked it, and want more of it. They saw stable government getting results. And they want more. Watch the 2025 Austin City Council Inauguration Ceremony Live:

#ATXCouncil When I was elected to serve a half term two years ago, there was a very clear sense in this community that city government had lost the plot. It was clear that dramatic action was necessary - and dramatic action is exactly what we delivered. Over the past 24 months: ✅ We rebuilt our city management team ✅ We made historic changes to our land development code and streamlined our development review process to help create more - and more affordable - housing ✅ We launched a different economic development paradigm focused on new job training programs, like the Infrastructure Academy, to help Austinites build high-wage careers, even without a 4-year degree ✅ We took a new approach to fighting homelessness, which promises real results ✅ We adopted a new energy generation plan that delivers reliability and affordability while reducing the emissions that threaten our climate and air quality ✅ We transformed our 911 emergency system from a system that fell well below national standards to one that, in 2024, met those standards throughout ✅ We signed a new contract with our police officers that lays the groundwork to improve public safety across the board. In short … we got stuff done at City Hall. And I think Austin voters saw it, and liked it, and want more of it. They saw stable government getting results. And they want more. Watch the 2025 Austin City Council Inauguration Ceremony Live:

Mayor Kirk Watson

39,172 просмотров • 1 год назад

🚨 BIG NEWS for Illinois Homeowners! 🚨 Illinois’ property tax system just got called UNCONSTITUTIONAL by a federal judge — following the Supreme Court in Tyler v. Hennepin County (2023). Translation: The government can no longer take your home and keep your equity without consequence. That era is OVER. ⸻ Why this matters: •Taxes have skyrocketed in Illinois •Seniors and working families are losing their homes •Downtown businesses left, budgets exploded, and migrant crisis spending made it worse The federal courts said NO MORE. ⸻ What we are demanding NOW: ✅ Full forensic audit of property taxes ✅ Transparency on skyrocketing bills ✅ Property Tax Postponement Program to protect seniors & long-time homeowners ✅ Correction of unconstitutional assessments ✅ Accountability for city/county spending ⸻ What YOU can do: 📌 Don’t accept another unfair tax increase 📌 Challenge your assessments 📌 Demand answers from your alderman & state reps 📌 Stand with Chicago Flips Red to protect our homes & families ⸻ 💥 This is a once-in-a-generation opportunity to stop the government from taking what’s ours. We fight together. We win together. ALL HANDS ON DECK 🇺🇸🎯💫 #ChicagoFlipsRed

🚨 BIG NEWS for Illinois Homeowners! 🚨 Illinois’ property tax system just got called UNCONSTITUTIONAL by a federal judge — following the Supreme Court in Tyler v. Hennepin County (2023). Translation: The government can no longer take your home and keep your equity without consequence. That era is OVER. ⸻ Why this matters: •Taxes have skyrocketed in Illinois •Seniors and working families are losing their homes •Downtown businesses left, budgets exploded, and migrant crisis spending made it worse The federal courts said NO MORE. ⸻ What we are demanding NOW: ✅ Full forensic audit of property taxes ✅ Transparency on skyrocketing bills ✅ Property Tax Postponement Program to protect seniors & long-time homeowners ✅ Correction of unconstitutional assessments ✅ Accountability for city/county spending ⸻ What YOU can do: 📌 Don’t accept another unfair tax increase 📌 Challenge your assessments 📌 Demand answers from your alderman & state reps 📌 Stand with Chicago Flips Red to protect our homes & families ⸻ 💥 This is a once-in-a-generation opportunity to stop the government from taking what’s ours. We fight together. We win together. ALL HANDS ON DECK 🇺🇸🎯💫 #ChicagoFlipsRed

Chicago Flips Red

64,334 просмотров • 7 месяцев назад

🚨 By popular demand, our swap technology is NOW LIVE outside of Internet Money Wallet on Android, iOS and Chrome. ✅ Users of ANY WALLET can now utilize our one of a kind swap dApp on Ethereum, Base, PulseChain, BNB Smartchain, Polygon, Avalanche and Arbitrum. 🧠Some special features include: ✅ Higher yielding swaps than going directly to a single DEX ✅ Extremely fast quote finding (under 2 seconds) ✅ Auto-tax detection and calculation (very important for tax token communities. NO SLIPPAGE INPUT REQUIRED!) ✅ Generate quotes without your wallet being connected ✅ If you are a $TIME holder on any of the supported chains, you just unlocked another stream of revenue 🤝 ✍️ Note: the dApp is in beta. Any bugs you find or feature requests, please let us know. We will continue to build it over time!

🚨 By popular demand, our swap technology is NOW LIVE outside of Internet Money Wallet on Android, iOS and Chrome. ✅ Users of ANY WALLET can now utilize our one of a kind swap dApp on Ethereum, Base, PulseChain, BNB Smartchain, Polygon, Avalanche and Arbitrum. 🧠Some special features include: ✅ Higher yielding swaps than going directly to a single DEX ✅ Extremely fast quote finding (under 2 seconds) ✅ Auto-tax detection and calculation (very important for tax token communities. NO SLIPPAGE INPUT REQUIRED!) ✅ Generate quotes without your wallet being connected ✅ If you are a $TIME holder on any of the supported chains, you just unlocked another stream of revenue 🤝 ✍️ Note: the dApp is in beta. Any bugs you find or feature requests, please let us know. We will continue to build it over time!

Internet Money | Crypto Wallet

15,304 просмотров • 6 месяцев назад

💥Another #Airdrop for our community 😉If u followed my guide on Babylon testnet 🌽U r eligible for CORN Airdrop 🪙4,800,000 Points 💯FREE 💰$6.7M funding ✅Binance backed 🪙U can claim 4.8M - 9.6M Kernel points if u followed my Babylon guide 🪙Kernel points = Corn 🪂 ⚠️Little confusing to link Bitcoin wallet, so follow steps exactly as below 👇Steps to claim your bonus points 🔗 ✅Access my sheet with invitation links ✅Click any available link ✅Join using EVM wallet (MetaMask) ✅Now logout ✅Click on Join Button ✅Select "with eligible wallet" tab ✅Now copy your sBTC taproot address (starts with tb1pj...) ✅Paste it ✅Hit "check" 💥Now u can see 4,800,000 bonus for Babylon testnet task ✅Hit "sign & join" ✅Connect Ethereum wallet ⚠️Use same metamask wallet u used to join above ✅Verify EVM wallet ✅Hit "Assign" ✅Sign txn in OKX wallet with sBTC address 💥Done, u successfully claimed points to your Ethereum address 🪙U can earn more points by staking eligible assets ✅U can withdraw them any time ✅Also link you're Galxe account to get points for Galxe task we did 🤔Is this 4.8M points big? 😉Yes, reason👇 🪙For $1000 stake I am able to farm 6000 points a day 🤯So I need to stake $1000 for 800 days to earn 4.8M points 📸Post your points screenshot in comments section, if u claimed 💙Like 🔁RT

💥Another #Airdrop for our community 😉If u followed my guide on Babylon testnet 🌽U r eligible for CORN Airdrop 🪙4,800,000 Points 💯FREE 💰$6.7M funding ✅Binance backed 🪙U can claim 4.8M - 9.6M Kernel points if u followed my Babylon guide 🪙Kernel points = Corn 🪂 ⚠️Little confusing to link Bitcoin wallet, so follow steps exactly as below 👇Steps to claim your bonus points 🔗 ✅Access my sheet with invitation links ✅Click any available link ✅Join using EVM wallet (MetaMask) ✅Now logout ✅Click on Join Button ✅Select "with eligible wallet" tab ✅Now copy your sBTC taproot address (starts with tb1pj...) ✅Paste it ✅Hit "check" 💥Now u can see 4,800,000 bonus for Babylon testnet task ✅Hit "sign & join" ✅Connect Ethereum wallet ⚠️Use same metamask wallet u used to join above ✅Verify EVM wallet ✅Hit "Assign" ✅Sign txn in OKX wallet with sBTC address 💥Done, u successfully claimed points to your Ethereum address 🪙U can earn more points by staking eligible assets ✅U can withdraw them any time ✅Also link you're Galxe account to get points for Galxe task we did 🤔Is this 4.8M points big? 😉Yes, reason👇 🪙For $1000 stake I am able to farm 6000 points a day 🤯So I need to stake $1000 for 800 days to earn 4.8M points 📸Post your points screenshot in comments section, if u claimed 💙Like 🔁RT

CryptoTelugu

173,783 просмотров • 1 год назад

🚨 Keith Neumeyer: This Silver Rally is DIFFERENT WHY THIS SILVER RALLY IS DIFFERENT ✅ 2011 move: "Paper-driven short covering" ✅ 2024 move: "ALL PHYSICAL demand driven" ✅ "People waking up to silver as critical mineral" ✅ "This metal is required for everything - we can't travel, drive, or operate homes without it" THE STRUCTURAL DEFICIT REALITY ✅ 5 consecutive years of silver deficits ✅ Total deficit: ~1 BILLION ounces over 5 years ✅ Mine production: 850M oz/year | Consumption: 1.2B oz/year ✅ "These ounces are coming from investment hoards - that will end" WHY MINERS CAN'T SAVE US ✅ "Takes 3 years to drive tunnels to new discoveries" ✅ Mill upgrades require "years of work" ✅ No major silver mines coming online ✅ "We're not going to solve this at $50 silver" NEW DEMAND DRIVERS EMERGING ✅ India: 75M ounces imported recently ✅ AI data centers: "How are you going to build them without silver?" ✅ Nuclear renaissance: 30+ plants planned - all require silver PRICE PREDICTION & OUTLOOK ✅ "We're destined to go through new highs" ✅ "Wouldn't be surprised at $60-65 by year-end" ✅ Previous $40 prediction already shattered ✅ "This correction is healthy - settling before next leg up" According to one of silver's most respected CEOs, we're in a fundamentally different bull market driven by physical consumption that miners simply cannot meet - and the structural deficit means higher prices are inevitable, not speculative. HT: Kai Hoffmann Keith Neumeyer First Majestic #Silver #KeithNeumeyer #FirstMajestic #SilverSqueeze #PhysicalSilver #SupplyDeficit #Mining #CriticalMinerals #Investing

🚨 Keith Neumeyer: This Silver Rally is DIFFERENT WHY THIS SILVER RALLY IS DIFFERENT ✅ 2011 move: "Paper-driven short covering" ✅ 2024 move: "ALL PHYSICAL demand driven" ✅ "People waking up to silver as critical mineral" ✅ "This metal is required for everything - we can't travel, drive, or operate homes without it" THE STRUCTURAL DEFICIT REALITY ✅ 5 consecutive years of silver deficits ✅ Total deficit: ~1 BILLION ounces over 5 years ✅ Mine production: 850M oz/year | Consumption: 1.2B oz/year ✅ "These ounces are coming from investment hoards - that will end" WHY MINERS CAN'T SAVE US ✅ "Takes 3 years to drive tunnels to new discoveries" ✅ Mill upgrades require "years of work" ✅ No major silver mines coming online ✅ "We're not going to solve this at $50 silver" NEW DEMAND DRIVERS EMERGING ✅ India: 75M ounces imported recently ✅ AI data centers: "How are you going to build them without silver?" ✅ Nuclear renaissance: 30+ plants planned - all require silver PRICE PREDICTION & OUTLOOK ✅ "We're destined to go through new highs" ✅ "Wouldn't be surprised at $60-65 by year-end" ✅ Previous $40 prediction already shattered ✅ "This correction is healthy - settling before next leg up" According to one of silver's most respected CEOs, we're in a fundamentally different bull market driven by physical consumption that miners simply cannot meet - and the structural deficit means higher prices are inevitable, not speculative. HT: Kai Hoffmann Keith Neumeyer First Majestic #Silver #KeithNeumeyer #FirstMajestic #SilverSqueeze #PhysicalSilver #SupplyDeficit #Mining #CriticalMinerals #Investing

Mark

82,890 просмотров • 8 месяцев назад

Open-sourcing the first unified LLM routing library 🔥 Meet LLMRouter 16+ routers in ONE framework. Stop reimplementing routing papers from scratch, simply run pip install llmrouter-lib And instantly deploy SOTA LLM routing tailored to your exact needs! 🔗 Get Started with LLMRouter 🚀 Code: 🌐 Project Page: 💸 Why LLMRouter? Why pay GPT-5 prices for "What's the weather?" Smart routing = Significant Savings Simple query → Cheap model Complex query → Powerful model Save 30–50% on inference costs without sacrificing quality 🧭 The 16+ Router Arsenal Switch between state-of-the-art methods with a single flag change. We cover every paradigm: ✅ Single-Round: From classic ML (KNN, SVM) to neural approaches (Graph, Contrastive). ✅ Multi-Round: RL-powered reasoning that "thinks" before routing. ✅ Agentic: Breaks down complex tasks and routes step-by-step. ✅ Personalized: Learns from user history to fit unique needs. 🛠️ Complete "Out-of-the-Box" Toolchain We didn't just ship the code; we shipped the pipeline. ✅ Unified CLI: Train, infer, and chat with any router. ✅ Interactive UI: Full Gradio interface included. ✅ Benchmarks: 11 datasets ready to use + full data generation pipeline. From LLM routing research to production in minutes. 🚀

Open-sourcing the first unified LLM routing library 🔥 Meet LLMRouter 16+ routers in ONE framework. Stop reimplementing routing papers from scratch, simply run pip install llmrouter-lib And instantly deploy SOTA LLM routing tailored to your exact needs! 🔗 Get Started with LLMRouter 🚀 Code: 🌐 Project Page: 💸 Why LLMRouter? Why pay GPT-5 prices for "What's the weather?" Smart routing = Significant Savings Simple query → Cheap model Complex query → Powerful model Save 30–50% on inference costs without sacrificing quality 🧭 The 16+ Router Arsenal Switch between state-of-the-art methods with a single flag change. We cover every paradigm: ✅ Single-Round: From classic ML (KNN, SVM) to neural approaches (Graph, Contrastive). ✅ Multi-Round: RL-powered reasoning that "thinks" before routing. ✅ Agentic: Breaks down complex tasks and routes step-by-step. ✅ Personalized: Learns from user history to fit unique needs. 🛠️ Complete "Out-of-the-Box" Toolchain We didn't just ship the code; we shipped the pipeline. ✅ Unified CLI: Train, infer, and chat with any router. ✅ Interactive UI: Full Gradio interface included. ✅ Benchmarks: 11 datasets ready to use + full data generation pipeline. From LLM routing research to production in minutes. 🚀

Jiaxuan You

75,244 просмотров • 7 месяцев назад

💥 Simple guide on BULK Testnet, Mainnet staking & Discord roles 💰Funding - $8M 🆕Perp DEX on Solana 💯 Testnet is free to try 👇Testnet Steps 🔗 ✅Connect wallet ✅Claim test tokens ✅Trade in Testnet ⚠️No confirmed Airdrop or points for Testnet 👇 $SOL Staking Steps ✅Go to stake tab ✅Choose one of the staking option ✅Native staking is low risky but withdraw takes 2-3 days ✅Stake mainnet $SOL ⚠️No points for staking announced 🤷But there is "Aura" tab on the page, mostly points may come soon 👇Discord Roles 🔗 ✅Join Discord ✅Currently 2 roles available OG & Contributor ✅Post quality content about project & be active in discord discussions for roles ⚠️No spam ⚠️No AI stuff 💥 Done 🤷I know Testnet may not be of any use, but Lighter gave some points for Testnet users 😅Also we have nothing to do much, so it is better to interact with this ⚠️Don't keep any hopes 🤔 May be Aura points for $SOL Staking, as it's on mainnet 😉And it is already good to farm project during such bare market, as many won't interact 🤔Should I post more interaction guides? Let me know if u r interested 💙Like 🔁RT

💥 Simple guide on BULK Testnet, Mainnet staking & Discord roles 💰Funding - $8M 🆕Perp DEX on Solana 💯 Testnet is free to try 👇Testnet Steps 🔗 ✅Connect wallet ✅Claim test tokens ✅Trade in Testnet ⚠️No confirmed Airdrop or points for Testnet 👇 $SOL Staking Steps ✅Go to stake tab ✅Choose one of the staking option ✅Native staking is low risky but withdraw takes 2-3 days ✅Stake mainnet $SOL ⚠️No points for staking announced 🤷But there is "Aura" tab on the page, mostly points may come soon 👇Discord Roles 🔗 ✅Join Discord ✅Currently 2 roles available OG & Contributor ✅Post quality content about project & be active in discord discussions for roles ⚠️No spam ⚠️No AI stuff 💥 Done 🤷I know Testnet may not be of any use, but Lighter gave some points for Testnet users 😅Also we have nothing to do much, so it is better to interact with this ⚠️Don't keep any hopes 🤔 May be Aura points for $SOL Staking, as it's on mainnet 😉And it is already good to farm project during such bare market, as many won't interact 🤔Should I post more interaction guides? Let me know if u r interested 💙Like 🔁RT

CryptoTelugu

88,035 просмотров • 3 месяцев назад