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To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation paper page: The goal of Online Domain Adaptation for semantic segmentation is to handle unforeseeable domain changes that occur during deployment, like sudden weather events. However, the high computational costs associated with brute-force adaptation make this paradigm unfeasible...

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AK

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18,871 просмотров • 3 лет назад •via X (Twitter)

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Tracking Anything with Decoupled Video Segmentation paper page: Training data for video segmentation are expensive to annotate. This impedes extensions of end-to-end algorithms to new video segmentation tasks, especially in large-vocabulary settings. To 'track anything' without training on video data for every individual task, we develop a decoupled video segmentation approach (DEVA), composed of task-specific image-level segmentation and class/task-agnostic bi-directional temporal propagation. Due to this design, we only need an image-level model for the target task (which is cheaper to train) and a universal temporal propagation model which is trained once and generalizes across tasks. To effectively combine these two modules, we use bi-directional propagation for (semi-)online fusion of segmentation hypotheses from different frames to generate a coherent segmentation. We show that this decoupled formulation compares favorably to end-to-end approaches in several data-scarce tasks including large-vocabulary video panoptic segmentation, open-world video segmentation, referring video segmentation, and unsupervised video object segmentation.
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Tracking Anything with Decoupled Video Segmentation paper page: Training data for video segmentation are expensive to annotate. This impedes extensions of end-to-end algorithms to new video segmentation tasks, especially in large-vocabulary settings. To 'track anything' without training on video data for every individual task, we develop a decoupled video segmentation approach (DEVA), composed of task-specific image-level segmentation and class/task-agnostic bi-directional temporal propagation. Due to this design, we only need an image-level model for the target task (which is cheaper to train) and a universal temporal propagation model which is trained once and generalizes across tasks. To effectively combine these two modules, we use bi-directional propagation for (semi-)online fusion of segmentation hypotheses from different frames to generate a coherent segmentation. We show that this decoupled formulation compares favorably to end-to-end approaches in several data-scarce tasks including large-vocabulary video panoptic segmentation, open-world video segmentation, referring video segmentation, and unsupervised video object segmentation.

AK

305,683 просмотров • 3 лет назад

Tencent announces AppAgent Multimodal Agents as Smartphone Users paper page: Recent advancements in large language models (LLMs) have led to the creation of intelligent agents capable of performing complex tasks. This paper introduces a novel LLM-based multimodal agent framework designed to operate smartphone applications. Our framework enables the agent to operate smartphone applications through a simplified action space, mimicking human-like interactions such as tapping and swiping. This novel approach bypasses the need for system back-end access, thereby broadening its applicability across diverse apps. Central to our agent's functionality is its innovative learning method. The agent learns to navigate and use new apps either through autonomous exploration or by observing human demonstrations. This process generates a knowledge base that the agent refers to for executing complex tasks across different applications. To demonstrate the practicality of our agent, we conducted extensive testing over 50 tasks in 10 different applications, including social media, email, maps, shopping, and sophisticated image editing tools. The results affirm our agent's proficiency in handling a diverse array of high-level tasks.
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Tencent announces AppAgent Multimodal Agents as Smartphone Users paper page: Recent advancements in large language models (LLMs) have led to the creation of intelligent agents capable of performing complex tasks. This paper introduces a novel LLM-based multimodal agent framework designed to operate smartphone applications. Our framework enables the agent to operate smartphone applications through a simplified action space, mimicking human-like interactions such as tapping and swiping. This novel approach bypasses the need for system back-end access, thereby broadening its applicability across diverse apps. Central to our agent's functionality is its innovative learning method. The agent learns to navigate and use new apps either through autonomous exploration or by observing human demonstrations. This process generates a knowledge base that the agent refers to for executing complex tasks across different applications. To demonstrate the practicality of our agent, we conducted extensive testing over 50 tasks in 10 different applications, including social media, email, maps, shopping, and sophisticated image editing tools. The results affirm our agent's proficiency in handling a diverse array of high-level tasks.

AK

343,919 просмотров • 2 лет назад

VideoRF: Rendering Dynamic Radiance Fields as 2D Feature Video Streams paper page: Neural Radiance Fields (NeRFs) excel in photorealistically rendering static scenes. However, rendering dynamic, long-duration radiance fields on ubiquitous devices remains challenging, due to data storage and computational constraints. In this paper, we introduce VideoRF, the first approach to enable real-time streaming and rendering of dynamic radiance fields on mobile platforms. At the core is a serialized 2D feature image stream representing the 4D radiance field all in one. We introduce a tailored training scheme directly applied to this 2D domain to impose the temporal and spatial redundancy of the feature image stream. By leveraging the redundancy, we show that the feature image stream can be efficiently compressed by 2D video codecs, which allows us to exploit video hardware accelerators to achieve real-time decoding. On the other hand, based on the feature image stream, we propose a novel rendering pipeline for VideoRF, which has specialized space mappings to query radiance properties efficiently. Paired with a deferred shading model, VideoRF has the capability of real-time rendering on mobile devices thanks to its efficiency. We have developed a real-time interactive player that enables online streaming and rendering of dynamic scenes, offering a seamless and immersive free-viewpoint experience across a range of devices, from desktops to mobile phones.
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VideoRF: Rendering Dynamic Radiance Fields as 2D Feature Video Streams paper page: Neural Radiance Fields (NeRFs) excel in photorealistically rendering static scenes. However, rendering dynamic, long-duration radiance fields on ubiquitous devices remains challenging, due to data storage and computational constraints. In this paper, we introduce VideoRF, the first approach to enable real-time streaming and rendering of dynamic radiance fields on mobile platforms. At the core is a serialized 2D feature image stream representing the 4D radiance field all in one. We introduce a tailored training scheme directly applied to this 2D domain to impose the temporal and spatial redundancy of the feature image stream. By leveraging the redundancy, we show that the feature image stream can be efficiently compressed by 2D video codecs, which allows us to exploit video hardware accelerators to achieve real-time decoding. On the other hand, based on the feature image stream, we propose a novel rendering pipeline for VideoRF, which has specialized space mappings to query radiance properties efficiently. Paired with a deferred shading model, VideoRF has the capability of real-time rendering on mobile devices thanks to its efficiency. We have developed a real-time interactive player that enables online streaming and rendering of dynamic scenes, offering a seamless and immersive free-viewpoint experience across a range of devices, from desktops to mobile phones.

AK

38,686 просмотров • 2 лет назад

Trained a humanoid entirely in a 3D scan of the office. Zero real-world fine-tuning. It just walked in and worked. RL needs hundreds of thousands of attempts, and real robots can't afford to crash. A misjudged gap or a glass door collision breaks hardware and costs hours resetting. So you train in a sim. But sim policies usually train on randomized, untextured geometry; depth is easy to fake. The robot learns structure, not the real world: no materials, no lighting, no idea what anything actually is. RGB cameras carry all of that but training RGB policies in generic fake worlds won’t generalize to the real world. Niantic Spatial 🌎 Scaniverse reconstructs your scan of the real deployment site. One 360° camera walkthrough → photorealistic 3D Gaussian splat at metric scale → collision mesh pulled from the same reconstruction, so vision and physics match exactly. Drops straight into NVIDIA Isaac Sim/Lab, no manual conversion. Flexion simulation-first approach then seamlessly enables the training of RGB-only nav policies inside that reconstruction. With added domain randomization + large image encoders for robustness, this deploys straight to hardware. No real-world fine-tuning. Deployment: months of on-site adaptation → days. Tune into the NVIDIA livestream on 12 August to hear how these companies are closing the sim2real gap: NVIDIA Robotics ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
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Trained a humanoid entirely in a 3D scan of the office. Zero real-world fine-tuning. It just walked in and worked. RL needs hundreds of thousands of attempts, and real robots can't afford to crash. A misjudged gap or a glass door collision breaks hardware and costs hours resetting. So you train in a sim. But sim policies usually train on randomized, untextured geometry; depth is easy to fake. The robot learns structure, not the real world: no materials, no lighting, no idea what anything actually is. RGB cameras carry all of that but training RGB policies in generic fake worlds won’t generalize to the real world. Niantic Spatial 🌎 Scaniverse reconstructs your scan of the real deployment site. One 360° camera walkthrough → photorealistic 3D Gaussian splat at metric scale → collision mesh pulled from the same reconstruction, so vision and physics match exactly. Drops straight into NVIDIA Isaac Sim/Lab, no manual conversion. Flexion simulation-first approach then seamlessly enables the training of RGB-only nav policies inside that reconstruction. With added domain randomization + large image encoders for robustness, this deploys straight to hardware. No real-world fine-tuning. Deployment: months of on-site adaptation → days. Tune into the NVIDIA livestream on 12 August to hear how these companies are closing the sim2real gap: NVIDIA Robotics ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

119,601 просмотров • 1 месяц назад

Robots should not care about your lighting. Our paper on Domain-Invariant Latent Lookahead (DILL) was selected for a presentation at RSS 2026. VLA policies quietly learn visual shortcuts: change the camera angle, the background, or the light, and they execute the wrong task. DILL teaches the policy to predict a domain-invariant future, not the pixels. This is the work behind the promise: OpenMind builds robot experiences that stay reliable in the real world, where the lights, the layout, and the cameras never match the lab. Huge thanks to our partners at Seoul National University, Hyundai USA, Ajou University, and Tommoro Robotics. Stay tuned for more from OpenMind Research.
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Robots should not care about your lighting. Our paper on Domain-Invariant Latent Lookahead (DILL) was selected for a presentation at RSS 2026. VLA policies quietly learn visual shortcuts: change the camera angle, the background, or the light, and they execute the wrong task. DILL teaches the policy to predict a domain-invariant future, not the pixels. This is the work behind the promise: OpenMind builds robot experiences that stay reliable in the real world, where the lights, the layout, and the cameras never match the lab. Huge thanks to our partners at Seoul National University, Hyundai USA, Ajou University, and Tommoro Robotics. Stay tuned for more from OpenMind Research.

OpenMind

16,651 просмотров • 2 месяцев назад

Introducing ALE-Bench, ALE-Agent! Towards Automating Long-Horizon Algorithm Engineering for Hard Optimization Problems Blog: Paper: ALE-Bench is a coding benchmark primarily focused on hard optimization (NP-hard) problems. We developed this benchmark with AtCoder Inc., a leading coding contest platform company. What makes ALE-Bench unique is its focus on hard optimization problems that demand long-horizon and creative reasoning. It’s open-ended, in the sense that true optima are out of reach (NP-hard) and scores can continuously improve. We believe this benchmark has the potential to become one of the key benchmarks for reasoning and coding in the next generation. ALE-Agent is our end-to-end agent that we specifically designed for this challenging domain. In fact, our ALE-Agent has already built an impressive track record in the wild! In May 2025, our agent participated in a live AtCoder Heuristic Competition (AHC), alongside 1,000 other participants in real-time. AHC is considered to be one of the most challenging coding competitions in this domain. Our ALE-Agent achieved an impressive ranking of 21st out of 1,000 human participants in the competition (top 2%), marking a turning point for AI discovery of solutions to hard optimization problems with a wide spectrum of important real world applications such as logistics, routing, packing, factory production planning, power-grid balancing. We look forward to applying this technology to real industrial optimization opportunities. Building on the insights from this study, Sakana AI will continue to tackle the challenge of developing AI with even greater algorithm engineering capabilities. ALE-Bench Dataset: ALE-Bench Code: This research was conducted in collaboration with AtCoder Inc. (AtCoder). We are deeply grateful for their outstanding expertise and contributions in optimization and algorithms, which were invaluable in providing data, analyzing results, and enabling our AI agent’s participation in their contests.
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Introducing ALE-Bench, ALE-Agent! Towards Automating Long-Horizon Algorithm Engineering for Hard Optimization Problems Blog: Paper: ALE-Bench is a coding benchmark primarily focused on hard optimization (NP-hard) problems. We developed this benchmark with AtCoder Inc., a leading coding contest platform company. What makes ALE-Bench unique is its focus on hard optimization problems that demand long-horizon and creative reasoning. It’s open-ended, in the sense that true optima are out of reach (NP-hard) and scores can continuously improve. We believe this benchmark has the potential to become one of the key benchmarks for reasoning and coding in the next generation. ALE-Agent is our end-to-end agent that we specifically designed for this challenging domain. In fact, our ALE-Agent has already built an impressive track record in the wild! In May 2025, our agent participated in a live AtCoder Heuristic Competition (AHC), alongside 1,000 other participants in real-time. AHC is considered to be one of the most challenging coding competitions in this domain. Our ALE-Agent achieved an impressive ranking of 21st out of 1,000 human participants in the competition (top 2%), marking a turning point for AI discovery of solutions to hard optimization problems with a wide spectrum of important real world applications such as logistics, routing, packing, factory production planning, power-grid balancing. We look forward to applying this technology to real industrial optimization opportunities. Building on the insights from this study, Sakana AI will continue to tackle the challenge of developing AI with even greater algorithm engineering capabilities. ALE-Bench Dataset: ALE-Bench Code: This research was conducted in collaboration with AtCoder Inc. (AtCoder). We are deeply grateful for their outstanding expertise and contributions in optimization and algorithms, which were invaluable in providing data, analyzing results, and enabling our AI agent’s participation in their contests.

Sakana AI

237,195 просмотров • 1 год назад

FAU Erlangen-Nürnberg presents TRIPS Trilinear Point Splatting for Real-Time Radiance Field Rendering paper page: Point-based radiance field rendering has demonstrated impressive results for novel view synthesis, offering a compelling blend of rendering quality and computational efficiency. However, also latest approaches in this domain are not without their shortcomings. 3D Gaussian Splatting [Kerbl and Kopanas et al. 2023] struggles when tasked with rendering highly detailed scenes, due to blurring and cloudy artifacts. On the other hand, ADOP [R\"uckert et al. 2022] can accommodate crisper images, but the neural reconstruction network decreases performance, it grapples with temporal instability and it is unable to effectively address large gaps in the point cloud. In this paper, we present TRIPS (Trilinear Point Splatting), an approach that combines ideas from both Gaussian Splatting and ADOP. The fundamental concept behind our novel technique involves rasterizing points into a screen-space image pyramid, with the selection of the pyramid layer determined by the projected point size. This approach allows rendering arbitrarily large points using a single trilinear write. A lightweight neural network is then used to reconstruct a hole-free image including detail beyond splat resolution. Importantly, our render pipeline is entirely differentiable, allowing for automatic optimization of both point sizes and positions. Our evaluation demonstrate that TRIPS surpasses existing state-of-the-art methods in terms of rendering quality while maintaining a real-time frame rate of 60 frames per second on readily available hardware. This performance extends to challenging scenarios, such as scenes featuring intricate geometry, expansive landscapes, and auto-exposed footage.
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FAU Erlangen-Nürnberg presents TRIPS Trilinear Point Splatting for Real-Time Radiance Field Rendering paper page: Point-based radiance field rendering has demonstrated impressive results for novel view synthesis, offering a compelling blend of rendering quality and computational efficiency. However, also latest approaches in this domain are not without their shortcomings. 3D Gaussian Splatting [Kerbl and Kopanas et al. 2023] struggles when tasked with rendering highly detailed scenes, due to blurring and cloudy artifacts. On the other hand, ADOP [R\"uckert et al. 2022] can accommodate crisper images, but the neural reconstruction network decreases performance, it grapples with temporal instability and it is unable to effectively address large gaps in the point cloud. In this paper, we present TRIPS (Trilinear Point Splatting), an approach that combines ideas from both Gaussian Splatting and ADOP. The fundamental concept behind our novel technique involves rasterizing points into a screen-space image pyramid, with the selection of the pyramid layer determined by the projected point size. This approach allows rendering arbitrarily large points using a single trilinear write. A lightweight neural network is then used to reconstruct a hole-free image including detail beyond splat resolution. Importantly, our render pipeline is entirely differentiable, allowing for automatic optimization of both point sizes and positions. Our evaluation demonstrate that TRIPS surpasses existing state-of-the-art methods in terms of rendering quality while maintaining a real-time frame rate of 60 frames per second on readily available hardware. This performance extends to challenging scenarios, such as scenes featuring intricate geometry, expansive landscapes, and auto-exposed footage.

AK

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Our livestream has wrapped—and the final result is in: 1,816 randomly selected parcels sorted per hour, with a success rate of over 98%. Since the beginning of this year, we’ve worked through the entire loop—from collecting real-world data and training the model to continuously testing and refining the system. We often ask ourselves why we remain committed to a purpose-built gripper. The answer is simple: not for hype, and not for a demo, but for real-world deployment. Our goal is to deliver high efficiency at a lower cost. Some jobs are dirty, dull, and dangerous. We want robots to take on more of that work, so people can focus on what is safer, more creative, and more meaningful. We’ll showcase the complete logistics sorting line live at WRC. Visit us in Hall C, Booth 107, and see it in action!
1:05:24

Our livestream has wrapped—and the final result is in: 1,816 randomly selected parcels sorted per hour, with a success rate of over 98%. Since the beginning of this year, we’ve worked through the entire loop—from collecting real-world data and training the model to continuously testing and refining the system. We often ask ourselves why we remain committed to a purpose-built gripper. The answer is simple: not for hype, and not for a demo, but for real-world deployment. Our goal is to deliver high efficiency at a lower cost. Some jobs are dirty, dull, and dangerous. We want robots to take on more of that work, so people can focus on what is safer, more creative, and more meaningful. We’ll showcase the complete logistics sorting line live at WRC. Visit us in Hall C, Booth 107, and see it in action!

X Square Robot

728,029 просмотров • 1 месяц назад

#WATCH | Delhi: At the joint press conference with US Secretary of State Marco Rubio, EAM Dr S Jaishankar says, "Where defence and security cooperation is concerned, you're all aware that the 10-year major defence partnership framework agreement was recently renewed. A comprehensive underwater domain awareness roadmap was also signed. We discussed the importance of taking into account the Make in India approach and lessons drawn from recent conflicts while going forward in the defence domain. On the economic front, we spoke about the value of concluding at an early date the final text of the interim agreement regarding reciprocal and mutually beneficial trade. This will be an important step towards a comprehensive bilateral trade agreement, which was envisaged during Prime Minister Modi's visit in February 2025. We had a team recently in Washington, and our expectation is that an American team will be visiting India soon for that purpose. We spent some time today discussing energy issues, and again, you're all aware that our government's fundamental responsibility is to address the needs of 1.4 billion people. Ensuring the accessibility and affordability of energy for them is our prime objective. Secretary and I therefore welcome the expansion in our energy trade in recent months. Diversified supplies are at the heart of energy security for India. We devoted some time to nuclear energy cooperation as well. The passage of the Shanti Act has opened up new possibilities. An American delegation was recently in India. We hope to realise the potential of cooperation in the nuclear domain. I also raised with the Secretary some regulatory issues that we have on the American side..."
2:38

#WATCH | Delhi: At the joint press conference with US Secretary of State Marco Rubio, EAM Dr S Jaishankar says, "Where defence and security cooperation is concerned, you're all aware that the 10-year major defence partnership framework agreement was recently renewed. A comprehensive underwater domain awareness roadmap was also signed. We discussed the importance of taking into account the Make in India approach and lessons drawn from recent conflicts while going forward in the defence domain. On the economic front, we spoke about the value of concluding at an early date the final text of the interim agreement regarding reciprocal and mutually beneficial trade. This will be an important step towards a comprehensive bilateral trade agreement, which was envisaged during Prime Minister Modi's visit in February 2025. We had a team recently in Washington, and our expectation is that an American team will be visiting India soon for that purpose. We spent some time today discussing energy issues, and again, you're all aware that our government's fundamental responsibility is to address the needs of 1.4 billion people. Ensuring the accessibility and affordability of energy for them is our prime objective. Secretary and I therefore welcome the expansion in our energy trade in recent months. Diversified supplies are at the heart of energy security for India. We devoted some time to nuclear energy cooperation as well. The passage of the Shanti Act has opened up new possibilities. An American delegation was recently in India. We hope to realise the potential of cooperation in the nuclear domain. I also raised with the Secretary some regulatory issues that we have on the American side..."

ANI

26,917 просмотров • 4 месяцев назад

At the panel session on “Rising Seas, Resilient Communities: Climate Adaptation Strategies in West Africa” at Harvard Business School earlier today, I had the opportunity to share Lagos State’s realities as a coastal megacity. Lagos sits on the continental shelf. Our land mass has grown from 3,577 to 4,050 square kilometres, largely through reclamation of wetlands and lagoon bodies. While this expansion has created space for real estate and infrastructure, it also comes with risks. This is why we insist that no reclamation takes place without Environmental Impact Assessments and drainage masterplans. These checks are necessary because when reclamation is done indiscriminately, it blocks stormwater pathways, destroys natural buffers like mangroves, and exposes millions of our people to flooding and erosion. As a city of over 22 million residents, we face additional pressures in managing daily waste. Lagos has long relied on a linear waste system with landfills, many of which are now decommissioned or about to be decommissioned . Today, we are deliberately shifting to a circular model that sees waste as a resource for wealth and energy. We have entered partnerships across the sub-region and beyond , including with a Ghanaian company that is helping us turn thousands of tonnes of waste into compost and reusable materials, while also setting up transfer loading stations to reduce what ends up in our landfills . We also recognize that Lagos is not alone in these challenges. The entire Gulf of Guinea shares similar threats. What happens in Togo, with its 42-mile coastline, or in Ghana, can affect us directly. That is why we have reached out to our neighbors and built regional partnerships on coastal protection, solid waste management, and climate adaptation. Our commitment is clear: to protect our environment, prosecute those who damage it, communicate with our citizens through advocacy on safe practices, and work with regional and international partners to build a Lagos that is not just surviving climate change but leading in adaptation strategies. These moves and developments are set to put Lagos on a #NewHorizon.
11:52

At the panel session on “Rising Seas, Resilient Communities: Climate Adaptation Strategies in West Africa” at Harvard Business School earlier today, I had the opportunity to share Lagos State’s realities as a coastal megacity. Lagos sits on the continental shelf. Our land mass has grown from 3,577 to 4,050 square kilometres, largely through reclamation of wetlands and lagoon bodies. While this expansion has created space for real estate and infrastructure, it also comes with risks. This is why we insist that no reclamation takes place without Environmental Impact Assessments and drainage masterplans. These checks are necessary because when reclamation is done indiscriminately, it blocks stormwater pathways, destroys natural buffers like mangroves, and exposes millions of our people to flooding and erosion. As a city of over 22 million residents, we face additional pressures in managing daily waste. Lagos has long relied on a linear waste system with landfills, many of which are now decommissioned or about to be decommissioned . Today, we are deliberately shifting to a circular model that sees waste as a resource for wealth and energy. We have entered partnerships across the sub-region and beyond , including with a Ghanaian company that is helping us turn thousands of tonnes of waste into compost and reusable materials, while also setting up transfer loading stations to reduce what ends up in our landfills . We also recognize that Lagos is not alone in these challenges. The entire Gulf of Guinea shares similar threats. What happens in Togo, with its 42-mile coastline, or in Ghana, can affect us directly. That is why we have reached out to our neighbors and built regional partnerships on coastal protection, solid waste management, and climate adaptation. Our commitment is clear: to protect our environment, prosecute those who damage it, communicate with our citizens through advocacy on safe practices, and work with regional and international partners to build a Lagos that is not just surviving climate change but leading in adaptation strategies. These moves and developments are set to put Lagos on a #NewHorizon.

Tokunbo Wahab

10,221 просмотров • 1 год назад

GDN: The $KNDX Solution No more hardware bottlenecks Kondux GDN offers streamlined solutions to the problems users may face these days, such as limited access to state-of-the-art hardware & GPU power. We solve this by offloading heavy computational tasks to GDN while streaming 3D assets in real time to any device, regardless of local device capabilities. This means users can easily perform complex activities like high performance gaming, 3D VFX rendering & digital twin simulations for manufacturing without reliance on local GPU power & hardware. For creators, developers & enterprises, this eliminates massive roadblocks for their creative work flow. Instant collaboration through blockchain security In addition, our smart contracts enables sharing digital assets instant and secure, allowing for easy collaboration across multiple platforms. By utilizing our DNA technology, viewing a 3D asset doesn’t automatically grant ownership, and ensures creators 3D assets are protected from unauthorized use. Our kNFT tech brings life, personality & evolution to digital assets. Part of our mission is facilitating the shift of conversation from only traditional static NFTs, towards dynamic high-fidelity 3D assets with real world utility. Advanced interactivity & immersion in real time for all.
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GDN: The $KNDX Solution No more hardware bottlenecks Kondux GDN offers streamlined solutions to the problems users may face these days, such as limited access to state-of-the-art hardware & GPU power. We solve this by offloading heavy computational tasks to GDN while streaming 3D assets in real time to any device, regardless of local device capabilities. This means users can easily perform complex activities like high performance gaming, 3D VFX rendering & digital twin simulations for manufacturing without reliance on local GPU power & hardware. For creators, developers & enterprises, this eliminates massive roadblocks for their creative work flow. Instant collaboration through blockchain security In addition, our smart contracts enables sharing digital assets instant and secure, allowing for easy collaboration across multiple platforms. By utilizing our DNA technology, viewing a 3D asset doesn’t automatically grant ownership, and ensures creators 3D assets are protected from unauthorized use. Our kNFT tech brings life, personality & evolution to digital assets. Part of our mission is facilitating the shift of conversation from only traditional static NFTs, towards dynamic high-fidelity 3D assets with real world utility. Advanced interactivity & immersion in real time for all.

Kondux

50,669 просмотров • 1 год назад

Dominion energy is trying to use eminent domain to take more homes in Virginia They also put in for a proposal for a high-voltage power pole that's taller than the Statue of Liberty that would run straight over the homes of an extremely nice neighborhood The other proposal would see power lines run though an elementary school and high school Apparently it’s hard to use eminent domain and or run lines through schools because it would require school board approval Homeowners in the neighbored are fighting back by actually donating some of their land the new lines would run through to the school, so that it would be harder to take with eminent domain Imagine having to donator your own land to a school so a private company has a harder time uses eminent domain to steal your land…. This is where we are as a country… There are multiple proposed routes, one could impact 69 homes, another could impact 182 homes
2:21

Dominion energy is trying to use eminent domain to take more homes in Virginia They also put in for a proposal for a high-voltage power pole that's taller than the Statue of Liberty that would run straight over the homes of an extremely nice neighborhood The other proposal would see power lines run though an elementary school and high school Apparently it’s hard to use eminent domain and or run lines through schools because it would require school board approval Homeowners in the neighbored are fighting back by actually donating some of their land the new lines would run through to the school, so that it would be harder to take with eminent domain Imagine having to donator your own land to a school so a private company has a harder time uses eminent domain to steal your land…. This is where we are as a country… There are multiple proposed routes, one could impact 69 homes, another could impact 182 homes

Wall Street Apes

43,225 просмотров • 2 месяцев назад

So ai.com has a countdown timer hitting zero at Super Bowl kickoff tonight Here's why this is insane: → Kris bought the AI domain for $70M in crypto. The largest publicly disclosed domain sale in history → The domain previously redirected to ChatGPT, then xAI/Grok, then DeepSeek. Now it's launching a consumer AI agent platform → ~128M people will watch the Super Bowl tonight (in 16 hours). 18% of viewers say the ads are the main reason they tune in → A 30-second Super Bowl ad costs ~$8M this year, with some going for $10M+ Tech ad spending is 2x what it was during the 2022 "Crypto Bowl" when FTX, Crypto.com and others flooded the broadcast right before the market imploded → The product: a personal AI agent that can message, trade stocks, build projects, with a "decentralised network of billions of agents" vision This could be the mass onboarding event for personal AI Agents - the alpha will be getting your handle before it’s not available → Marszalek is running the exact same playbook as CryptoDotCom: buy a killer domain, splash on marketing, ride mainstream adoption. In 2021, he spent $700M on Staples Center naming rights, for one of the most valuable sports venue naming rights in history. Built a $1.5B revenue business → He paid for the domain entirely in crypto: ai.com traffic is about to go absolutely parabolic One of the most recognisable URLs on the internet + 128M eyeballs + a Super Bowl ad = the biggest single-day domain launch in history? This is going to provide a huge uptick in visibility to personal agents Yes we’ve seen the same playbook flop for crypto, but this time it’s far more interesting + useful to the average persons daily lives Compound this with the continued trajectory of OpenClaw developments and I strongly believe we are about to hit an inflection point in adoption
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So ai.com has a countdown timer hitting zero at Super Bowl kickoff tonight Here's why this is insane: → Kris bought the AI domain for $70M in crypto. The largest publicly disclosed domain sale in history → The domain previously redirected to ChatGPT, then xAI/Grok, then DeepSeek. Now it's launching a consumer AI agent platform → ~128M people will watch the Super Bowl tonight (in 16 hours). 18% of viewers say the ads are the main reason they tune in → A 30-second Super Bowl ad costs ~$8M this year, with some going for $10M+ Tech ad spending is 2x what it was during the 2022 "Crypto Bowl" when FTX, Crypto.com and others flooded the broadcast right before the market imploded → The product: a personal AI agent that can message, trade stocks, build projects, with a "decentralised network of billions of agents" vision This could be the mass onboarding event for personal AI Agents - the alpha will be getting your handle before it’s not available → Marszalek is running the exact same playbook as CryptoDotCom: buy a killer domain, splash on marketing, ride mainstream adoption. In 2021, he spent $700M on Staples Center naming rights, for one of the most valuable sports venue naming rights in history. Built a $1.5B revenue business → He paid for the domain entirely in crypto: ai.com traffic is about to go absolutely parabolic One of the most recognisable URLs on the internet + 128M eyeballs + a Super Bowl ad = the biggest single-day domain launch in history? This is going to provide a huge uptick in visibility to personal agents Yes we’ve seen the same playbook flop for crypto, but this time it’s far more interesting + useful to the average persons daily lives Compound this with the continued trajectory of OpenClaw developments and I strongly believe we are about to hit an inflection point in adoption

0xSammy

91,436 просмотров • 7 месяцев назад

Introducing SoftMatcha 2: A Fast and Soft Pattern Matcher for Trillion-Scale Pre-Training Corpora What lies within a trillion-scale pre-training corpus? Can you truly guarantee your benchmarks are uncontaminated simply because there are no exact string matches? Alongside several research institutions in Japan, Sakana AI is proud to have collaborated in the development of SoftMatcha 2, an ultra-fast and flexible search tool that enables search over trillion-scale natural language corpora in under 0.3 seconds, even while handling semantic variations (substitution, insertion, and deletion). No existing tool meets all these criteria, including infini-gram-mini (EMNLP’25 Best Paper) or the original SoftMatcha (ICLR’25). Our approach employs string matching based on suffix arrays that scales well with corpus size. To mitigate the combinatorial explosion induced by the semantic relaxation of queries, our method is built on two key algorithmic ideas: fast exact lookup enabled by a disk-aware design, and dynamic corpus-aware pruning. As a practical application, we demonstrate that SoftMatcha 2 identifies potential benchmark contamination in pre-training corpora that existing exact-match approaches miss. You can try searching through a 100B-scale corpus via our online demo. The system remains blazingly fast even on trillion-token corpora, so we encourage you to host it yourself for larger scales. Demo: Paper: Code: This work is a collaboration with researchers from the University of Tokyo, NII, Kyoto University, SOKENDAI, NINJAL, Tohoku University, and RIKEN.
0:26

Introducing SoftMatcha 2: A Fast and Soft Pattern Matcher for Trillion-Scale Pre-Training Corpora What lies within a trillion-scale pre-training corpus? Can you truly guarantee your benchmarks are uncontaminated simply because there are no exact string matches? Alongside several research institutions in Japan, Sakana AI is proud to have collaborated in the development of SoftMatcha 2, an ultra-fast and flexible search tool that enables search over trillion-scale natural language corpora in under 0.3 seconds, even while handling semantic variations (substitution, insertion, and deletion). No existing tool meets all these criteria, including infini-gram-mini (EMNLP’25 Best Paper) or the original SoftMatcha (ICLR’25). Our approach employs string matching based on suffix arrays that scales well with corpus size. To mitigate the combinatorial explosion induced by the semantic relaxation of queries, our method is built on two key algorithmic ideas: fast exact lookup enabled by a disk-aware design, and dynamic corpus-aware pruning. As a practical application, we demonstrate that SoftMatcha 2 identifies potential benchmark contamination in pre-training corpora that existing exact-match approaches miss. You can try searching through a 100B-scale corpus via our online demo. The system remains blazingly fast even on trillion-token corpora, so we encourage you to host it yourself for larger scales. Demo: Paper: Code: This work is a collaboration with researchers from the University of Tokyo, NII, Kyoto University, SOKENDAI, NINJAL, Tohoku University, and RIKEN.

Sakana AI

104,363 просмотров • 7 месяцев назад

OpenAI just launched Operator. This got me thinking about the potential impact of AI agents on how buyers will discover domain names in the future, so I decided to give Operator a test run. The results were eye-opening. I started with a simple prompt: Help me find a great domain for my pet food brand from It should be a cute name and ideally under $5000." Operator took it from there. It accessed searched for pet food-related domains, applied the appropriate pricing filter, and shortlisted names that exuded cuteness. It didn’t stop there—it even assisted me in negotiating a better price through live chat. The implications of this technology are huge. For marketplaces, it will become critical to optimize the way domains are merchandised to ensure AI agents can easily discover relevant options. This means having in-depth filters, a highly effective search, and real time communication tools will matter more than ever. It is time to start adapting for this shift
1:59

OpenAI just launched Operator. This got me thinking about the potential impact of AI agents on how buyers will discover domain names in the future, so I decided to give Operator a test run. The results were eye-opening. I started with a simple prompt: Help me find a great domain for my pet food brand from It should be a cute name and ideally under $5000." Operator took it from there. It accessed searched for pet food-related domains, applied the appropriate pricing filter, and shortlisted names that exuded cuteness. It didn’t stop there—it even assisted me in negotiating a better price through live chat. The implications of this technology are huge. For marketplaces, it will become critical to optimize the way domains are merchandised to ensure AI agents can easily discover relevant options. This means having in-depth filters, a highly effective search, and real time communication tools will matter more than ever. It is time to start adapting for this shift

Darpan

11,133 просмотров • 1 год назад

Right now, many may think that in modern warfare the main thing is simply to have the tools – interceptors, different types of drones, electronic warfare systems. But the reality of modern war is that military technology changes very quickly. It is not enough just to have the tools – you also need real experience using them and the same speed of adaptation as the threat itself. Right now, only Ukraine has this experience, only our soldiers do. And that is why it is important not to waste time or money, but to build joint agreements and joint results. This should also be reflected in the SAFE program, which gives Europe the opportunity to rearm now and adapt our European defense production to modern challenges. “Together” is the key word for Europe so that everyone is protected. From an intervention at the Bucharest Nine Summit. (3/5)
1:07

Right now, many may think that in modern warfare the main thing is simply to have the tools – interceptors, different types of drones, electronic warfare systems. But the reality of modern war is that military technology changes very quickly. It is not enough just to have the tools – you also need real experience using them and the same speed of adaptation as the threat itself. Right now, only Ukraine has this experience, only our soldiers do. And that is why it is important not to waste time or money, but to build joint agreements and joint results. This should also be reflected in the SAFE program, which gives Europe the opportunity to rearm now and adapt our European defense production to modern challenges. “Together” is the key word for Europe so that everyone is protected. From an intervention at the Bucharest Nine Summit. (3/5)

Volodymyr Zelenskyy / Володимир Зеленський

154,483 просмотров • 4 месяцев назад

We are thrilled to announce the launch of Hoppy Racing, a new HOPPY DIVISION dedicated to bringing the adrenaline of racing and motorsport events to the meme Space. This Strategic move aims to push HOPPY by sponsoring real-world racing events and partnerships with motorsport teams to ensure Hoppy Racing becomes a global household name, showcasing the power of $HOPPY to the world. Through our IRL Marketing, This will bring more visibility and legitimacy to new investors who may have previously been unaware of the HOPPY token. Our first supercar event will take place this Quarter in one of the world’s most iconic cities Dubai as it is known for its crypto adaptation, luxury, and global appeal, which is the perfect stage to launch Hoppy Racing. Stay tuned for more details and exclusive updates.
1:07

We are thrilled to announce the launch of Hoppy Racing, a new HOPPY DIVISION dedicated to bringing the adrenaline of racing and motorsport events to the meme Space. This Strategic move aims to push HOPPY by sponsoring real-world racing events and partnerships with motorsport teams to ensure Hoppy Racing becomes a global household name, showcasing the power of $HOPPY to the world. Through our IRL Marketing, This will bring more visibility and legitimacy to new investors who may have previously been unaware of the HOPPY token. Our first supercar event will take place this Quarter in one of the world’s most iconic cities Dubai as it is known for its crypto adaptation, luxury, and global appeal, which is the perfect stage to launch Hoppy Racing. Stay tuned for more details and exclusive updates.

hoppy

43,919 просмотров • 1 год назад

First, we are capable of producing at least 2,000 effective and combat-proven interceptors every day. We can produce more – it depends on investment. We need about 1,000 interceptors a day, and we can supply at least another 1,000 a day to our allies. Second, we know how to build radar and acoustic coverage to respond to how “shaheds” and other drones approach. Third, we have software that allows radars to keep working even under electronic warfare jamming. In real time, we analyze enemy frequencies and respond to them. And because of this system, we understand how effective our defense is against almost every attack drone, and we can move our positions and air defense to get better results. This iPad gives full control of the situation because we have a system for using our defense tools. If a “shahed” needs to be stopped in the Emirates – we can do it. If it needs to be stopped in Europe or the United Kingdom – we can do it. It is a matter of technology, investment, and cooperation. And the fact that we got through this winter – which Russia tried to make deadly for all our families – shows that our solutions work. From my address to the Parliament of the United Kingdom (4/7)
1:24

First, we are capable of producing at least 2,000 effective and combat-proven interceptors every day. We can produce more – it depends on investment. We need about 1,000 interceptors a day, and we can supply at least another 1,000 a day to our allies. Second, we know how to build radar and acoustic coverage to respond to how “shaheds” and other drones approach. Third, we have software that allows radars to keep working even under electronic warfare jamming. In real time, we analyze enemy frequencies and respond to them. And because of this system, we understand how effective our defense is against almost every attack drone, and we can move our positions and air defense to get better results. This iPad gives full control of the situation because we have a system for using our defense tools. If a “shahed” needs to be stopped in the Emirates – we can do it. If it needs to be stopped in Europe or the United Kingdom – we can do it. It is a matter of technology, investment, and cooperation. And the fact that we got through this winter – which Russia tried to make deadly for all our families – shows that our solutions work. From my address to the Parliament of the United Kingdom (4/7)

Volodymyr Zelenskyy / Володимир Зеленський

697,470 просмотров • 6 месяцев назад

During the last two days, the 32 Allies of #NATO met in the Chiefs of Defence format in Brussels, to discuss our unified military approach to the security developments of our time. Through SACEUR’s assessment of readiness, deterrence and defence, and SACT’s views on near and far future, we communicate to our citizens and the rest of the world that we are ready for the present and we are prepared for whatever lies on the horizon. Our focus on partnerships, from across the globe, also demonstrates our understanding that our security is global and interconnected, and #NATO must reflect on this reality. And our support for #Ukraine through initiatives like NSATU, JATEC and PURL, continues to grow, showing that our unity and determination are more than words. From our discussions, three main conclusions stand out: We are #united. We are #resilient. We are #dynamic, as we #adapt succesfully, while we #deter effectively! #StrongerTogether #SlavaUkraïni
2:10

During the last two days, the 32 Allies of #NATO met in the Chiefs of Defence format in Brussels, to discuss our unified military approach to the security developments of our time. Through SACEUR’s assessment of readiness, deterrence and defence, and SACT’s views on near and far future, we communicate to our citizens and the rest of the world that we are ready for the present and we are prepared for whatever lies on the horizon. Our focus on partnerships, from across the globe, also demonstrates our understanding that our security is global and interconnected, and #NATO must reflect on this reality. And our support for #Ukraine through initiatives like NSATU, JATEC and PURL, continues to grow, showing that our unity and determination are more than words. From our discussions, three main conclusions stand out: We are #united. We are #resilient. We are #dynamic, as we #adapt succesfully, while we #deter effectively! #StrongerTogether #SlavaUkraïni

Admiral Giuseppe CAVO DRAGONE - NATO CMC

36,578 просмотров • 8 месяцев назад