Can we match visual features jointly across multiple frames?... Yes! Barbara Roessle's #ICCV2023 paper proposes a differentiable pose optimization for end2end feature matching across multiple frames, thus obtaining better poses!show more

Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation paper page:... Large text-to-image diffusion models have exhibited impressive proficiency in generating high-quality images. However, when applying these models to video domain, ensuring temporal consistency across video frames remains a formidable challenge. This paper proposes a novel zero-shot text-guided video-to-video translation framework to adapt image models to videos. The framework includes two parts: key frame translation and full video translation. The first part uses an adapted diffusion model to generate key frames, with hierarchical cross-frame constraints applied to enforce coherence in shapes, textures and colors. The second part propagates the key frames to other frames with temporal-aware patch matching and frame blending. Our framework achieves global style and local texture temporal consistency at a low cost (without re-training or optimization). The adaptation is compatible with existing image diffusion techniques, allowing our framework to take advantage of them, such as customizing a specific subject with LoRA, and introducing extra spatial guidance with ControlNet. Extensive experimental results demonstrate the effectiveness of our proposed framework over existing methods in rendering high-quality and temporally-coherent videos.show more

Meta releases VGGSfM Visual Geometry Grounded Deep Structure From... Motion Structure-from-motion (SfM) is a long-standing problem in the computer vision community, which aims to reconstruct the camera poses and 3D structure of a scene from a set of unconstrained 2D images. Classical frameworks solve this problem in an incremental manner by detecting and matching keypoints, registering images, triangulating 3D points, and conducting bundle adjustment. Recent research efforts have predominantly revolved around harnessing the power of deep learning techniques to enhance specific elements (e.g., keypoint matching), but are still based on the original, non-differentiable pipeline. Instead, we propose a new deep SfM pipeline VGGSfM, where each component is fully differentiable and thus can be trained in an end-to-end manner. To this end, we introduce new mechanisms and simplifications. First, we build on recent advances in deep 2D point tracking to extract reliable pixel-accurate tracks, which eliminates the need for chaining pairwise matches. Furthermore, we recover all cameras simultaneously based on the image and track features instead of gradually registering cameras. Finally, we optimise the cameras and triangulate 3D points via a differentiable bundle adjustment layer. We attain state-of-the-art performance on three popular datasets, CO3D, IMC Phototourism, and ETH3D.show more

Big News for the Community! We've partnered with AIDA... Ecosystem to bring you something special. 🤝 This collaboration with AIDA will unlock a new set of tools and features, all designed to make your trading experience better than ever. You can now: ✅ Access AI-powered analytics to find new opportunities. ✅ Trade seamlessly across multiple DEXs from a single terminal. ✅ Use a secure, built-in wallet for all your assets. The future of our ecosystem is now more powerful. #ICBNetwork #AIDA #AI #ICBX #Communityshow more

Depth Any Video with Scalable Synthetic Data AI physicists... and chemists continue to make strides in depth estimation from video. Check out this new paper featuring some impressive examples. See the thread for more details (unfortunately no code yet). Abstract: Video depth estimation has long been hindered by the scarcity of consistent and scalable ground truth data, leading to inconsistent and unreliable results. In this paper, we introduce Depth Any Video, a model that tackles the challenge through two key innovations. First, we develop a scalable synthetic data pipeline, capturing real-time video depth data from diverse game environments, yielding 40,000 video clips of 5-second duration, each with precise depth annotations. Second, we leverage the powerful priors of generative video diffusion models to handle real-world videos effectively, integrating advanced techniques such as rotary position encoding and flow matching to further enhance flexibility and efficiency. Unlike previous models, which are limited to fixed-length video sequences, our approach introduces a novel mixed-duration training strategy that handles videos of varying lengths and performs robustly across different frame rates 0 - even on single frames. At inference, we propose a depth interpolation method that enables our model to infer high-resolution video depth across sequences of up to 150 frames. Our model outperforms all previous generative depth models in terms of spatial accuracy and temporal consistency.show more

kling 2.6 motion control is actually insane for AI... ads you can swap any person in a video with a different person and it looks completely realistic, and its way better than wan 2.2 this unlocks massive testing potential for ads you can test the same ad concept across multiple different ICPs instantly here's the workflow: >generate your new character with nano banana pro >use kling 2.6 motion control to replace the person in your existing video generate a new voice with >elevenlabs to match the character you can take one winning ad and instantly create 10 variations targeting: -different age groups -different genders -different ethnicities -different aesthetics this is the future of ad testing at scaleshow more

3D Gaussian Splatting for Real-Time Radiance Field Rendering paper... page: Radiance Field methods have recently revolutionized novel-view synthesis of scenes captured with multiple photos or videos. However, achieving high visual quality still requires neural networks that are costly to train and render, while recent faster methods inevitably trade off speed for quality. For unbounded and complete scenes (rather than isolated objects) and 1080p resolution rendering, no current method can achieve real-time display rates. We introduce three key elements that allow us to achieve state-of-the-art visual quality while maintaining competitive training times and importantly allow high-quality real-time (>= 30 fps) novel-view synthesis at 1080p resolution. First, starting from sparse points produced during camera calibration, we represent the scene with 3D Gaussians that preserve desirable properties of continuous volumetric radiance fields for scene optimization while avoiding unnecessary computation in empty space; Second, we perform interleaved optimization/density control of the 3D Gaussians, notably optimizing anisotropic covariance to achieve an accurate representation of the scene; Third, we develop a fast visibility-aware rendering algorithm that supports anisotropic splatting and both accelerates training and allows realtime rendering. We demonstrate state-of-the-art visual quality and real-time rendering on several established datasets.show more

Today we are launching Kaito Studio beta. Starting today,... we’re moving to a new model where brands and creators can more intentionally match based on mutual fit, selection, and expectations - launching with 16 partners, with more in the pipeline as details are finalized. Since launching our waitlist in February, a rapidly growing network of creators has joined Kaito Studio, representing 80 million collective followers and $14 billion in follower net worth. These creators span 118 countries, with English-focused creators making up the largest segment, and China and Korea representing the largest country cohorts. Around 30% have also joined with TikTok, Instagram, or YouTube accounts, positioning them to bring content cross-platform. From here, Kaito Studio will focus on solving three main problems, one step at a time: - Ambassador and creator matching - helping brands find the right ambassadors or creators based on data, audience, and subject alignment - Performance attribution - measuring real impact across influence, mindshare, and conversion - End-to-end orchestration - powering a repeatable workflow from creator matching and campaign execution to measurement, evaluation, and optimization We will ramp up opportunities over the coming weeks as more brands finalize their profiles and program details. As we continue building more features for the GenAI and agentic ecosystem, stay tuned for more opportunities ahead.show more

Introducing Zest Protocol Stacks Swap, The ultimate swap experience... for the stacks.btc ecosystem. Live now. Stacks swap is built with more routes, faster backend and UX than any DEx product previously built on Stacks. Stacks Swap compares hundreds of liquidity pools across every major DEX on Stacks and returns the route with the best output for every trade. How it works: 🟠 Smart order routing. Large swaps split across multiple pools and multiple DEXes at once. When no direct pool exists, the router chains hops through intermediate tokens. The full route executes as a single transaction. 🟠 All or nothing. Every swap is one atomic Stacks transaction. Either the full route completes and you receive at least the guaranteed minimum, or the entire transaction reverts and no tokens leave your wallet. 🟠 Price protection enforced on-chain. Every swap carries a minimum-received amount written into the transaction itself. If the market moves before confirmation, the swap reverts instead of filling at a worse price. No app, server, or operator can override this check. 🟠 Non-custodial by design. Tokens move from your wallet, through the pools, and back to your wallet within a single transaction. No deposits, no balances, no accounts. 🟠 Zero additional fees. Pool fees are set by the DEXes and already priced into every quote. Zest Protocol charges nothing on top. 🟠 Supported liquidity sources: Bitflow , Velar, ALEX 🟧 No. 1 Bitcoin DeFi, and Arkadiko Protocol 🟧🗿, plus direct protocol conversion through Stacking DAO for stSTXbtc swaps. The quote you approve is the worst case you can receive. The swap fills at that amount or better, or it does not happen at all. We built Stacks Swap using Zest Protocol's existing internal infrastructure. When we realised that it performed much better than existing DEx products, we decided it made sense to release it for the benefit of the ecosystem. Happy swapping.show more

over the weekend, i built an app that i... sincerely hope you will never have a need for, but if you do happen to need a friendly, free, private mri viewer designed to make it easy for you to track tumor progression, you can try it here: here's the story: as some of you may know, last last september, my six year old daughter mira was diagnosed with an extremely rare brain tumor called an adamatinomatous craniopharyngioma, and since then our family has been doing everything we can possibly do to find a cure for her. we tortured chatgpt deep research, put together our own private research team, raised $1.4M and donated it all to Hankinson-Mitra Lab research thanks to $MIRA, explored every remotely applicable drug whether on the market or not, and even began working with md anderson to develop a personalized vaccine that we hope can lead to a more permanent cure unfortunately, we received the devastating news last march that the tumor has continued to grow since her initial surgery, and we had to start to consider more drastic options which would have seriously impacted mira’s quality of life. thankfully, with the help of dr. sabine mueller UCSF Benioff SF and the Hankinson-Mitra Lab at the university of colorado, in april, we started her on an alternative but extremely experimental treatment for this disease. to our unimaginable relief, her tumor has responded extraordinarily well to this treatment which combines tocilizumab (an arthritis drug that blocks IL6 receptors) with avastin (a colon cancer drug that inhibhits VEGF proteins). we know this, because mira gets an MRI scan of her brain every few months. and every time we get a new scan, the first thing we do is compare it against her last scan. so we have to find the matching weight of the scan, and then find the same plane, and then carefully find the slices of the scan where the tumor is visible, and then find the closest match to last month’s scan, then adjust the zoom, rotation, and brightness / contrast so they all look the same. we got pretty good at this. but it shouldn't be this hard. so i built last weekend using gemini 3 with some gpt 5.2 xhigh. you just import your DICOM MRI files (either zip, files or a folder), and you can align all of your scans across multiple dates instantly, just click and drag a rectangle around the tumor on any image, and it will use some very clever algorithms to automatically align up and find the closest matching slice from all your other scans, match the brightness / contrast, rotation, pan, zoom, and even shear to make sure the registration is as close as possible, and make it as easy to possible to compare tumor progression. it has a grid view so you can see all your scans for the same location all at once, and an overlay view so you can quickly compare two scans visually (by holding down the space bar to toggle quickly between two scans), along with tools to animate your scans both within the same sequence as well as over multiple scans to show progression. there is no server, it runs entirely locally on your browser - nothing ever gets uploaded and it's all open source: if you've found this useful, please consider a donation to the UCSF Benioff SF hospital foundation, who has given us extraordinary care over the past year or so:show more

Over the past few weeks, I’ve been looking for... different ways to access Seedance 2.0. Then TopviewAI told me that their platform supports Seedance 2.0 — and it can also seamlessly combine multiple clips together. I used the prompt below to create this video, and the result is absolutely amazing! Use 🩵Image 1 as the first frame, referencing the character design, outfit color palette, and overall visual style of 🩵Image 1. The girl is performing a high-speed downhill skateboard ride on a winding suburban mountain road. The shot uses a Steadicam follow perspective, with an intense sense of speed throughout. The powerful wind generated by the fast ride makes her hair and clothing whip violently in the air. At the beginning, the girl pushes off with one foot to gain speed, then lowers her body to reduce wind resistance and continues accelerating. The scene features heavy motion blur to emphasize the extreme speed of the skateboard. While riding, she repeatedly shifts her center of gravity downward and leans left and right through multiple turns on the road. As she carves into the corners, the arm on the inside of the turn lowers as if lightly trying to touch the ground. On straight sections, she bends forward, keeps her knees low, and places both hands behind her back to minimize drag. In the distance, fireworks are going off above a seaside town, while a passenger airplane flies across the sky. The overall visual style should be ultra-realistic, with highly lifelike image quality and realistic photographic cinematography. No background music, only environmental sound design.show more

🎮 𝐅𝐞𝐛𝐫𝐮𝐚𝐫𝐲 𝟐𝟎𝟐𝟓 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐔𝐩𝐝𝐚𝐭𝐞 🚨 Big updates across... multiple areas of Varsity this month! • Coach Schemes in Dynasty Mode – Every coach now has a unique scheme and playstyle, influencing how your team plays. Do you stick with your staff and try new strategies, or hire a coach who specializes in your preferred system? • Audio & Settings Enhancements – A custom Varsity marching band drumline is being composed to add more energy to the game. Plus, menus now have sound effects, and new resolution options (16:9 and 16:10 ultrawide) have been added. • 3D Player & Stadium Models – The new player models are fully integrated, showcasing enhanced customization and animations. Pro-style stadiums for playoffs and championships are also in development! • Motion Capture Upgrades – Defensive back (DB) movements have been refined using motion capture for better realism. We’ve also improved base locomotion (running, turning, and movement) and are hiring a full-time AAA animation specialist. This month was all about refining core gameplay features and bringing more realism to Varsity. Stay tuned for more updates as we keep pushing towards launch! Support us on Patreon for Steam Pre-Alpha PlayTest access, and don’t forget to wish list on Steam! #Varsity #HSFootballVideoGame #DynastyMode #FootballGaming #HighSchoolFootball #CoachSchemes #3DModels #MotionCaptureshow more

The Visual Studio Code insiders version that just shipped... and will ship in the next few days will come with an insane amount of new capabilities. A few highlights: - You can now run sub-agents in parallel. Yes, really. I even attached a video. - Major UX improvements for sub agents, especially visible in the chat window - A new search tool wrapped as a sub-agent that iteratively runs multiple search tools: semantic_search, file_search, grep_search Which connects nicely to the point above: multiple searches running in parallel, efficiently and fast - Anthropic’s Message API is now enabled by default - You can choose the model for the cloud agent (three available, all premium) - Extended thinking support when using the Claude cloud agent This is part of the broader multi-vendor cloud support under AgentsHQ I wrote about a few weeks ago - Tasks sent to the background agent (basically the CLI tool) now always run in isolation, each with its own git worktree - In a multi-repo workspace, assigning a task to a cloud agent prompts you to choose the target repo Same behavior when opening an empty workspace with no repo - Support for building an external index for files not supported by GitHub’s default indexing - UI/UX improvements for starting new sessions and switching between local / background / cloud agents - Skills are now first-class citizens, just like prompt files, with better UX indicating when a skill is loaded - Improved API for dynamic contribution of prompt files New V2 includes skills as part of the model. Curious to see the extensions that will leverage this - Finally, initial support for showing context usage percentage per session - Skills are enabled by default - Resizable chat window and session view. Small thing, but it was driving me crazy 😁 - A new integrated browser meant to replace the old simple browser Maybe the beginning of real browser use? - Better UI/UX for token streaming in chat - Ability to index external files not supported by GitHub There’s a lot more. Some of it hasn’t fully landed yet, but everything that has is already in Insiders. The next stable release should drop in early February. As usual, I’m just shocked by the volume of features this team ships every month. After the holiday slowdown, this one is shaping up to be a wild release.show more

Dear Hunters, It has come to the development team's... notice that some illegally gained material "leaks" are spreading on multiple platforms. We are sorry for this situation. We are sorry if this illegal leak undermines the ceremonial first meeting between you and Sylus. Every love interest's first meeting with the hunter is a precious memory that cannot be repeated. For a long time in the past, planning content, promoting development, optimization and modification... We have been trying our best to prepare for this surprising "first meet." However, this incident disrupted the plan and undermined the experience for all players. Meanwhile, we also believe that the first glimpse may not be everything, because you and Sylus will have countless days of surprise that are worth looking forward to. Rather than let malicious leaks disrupt the pace, it is better to go forward bravely—debut of Sylus's Preview. The development team will continue to prepare for your formal first meeting. We sincerely hope that after he comes to your side, you two will gradually get to know each other and get along well. If the future ahead is good enough, the regret caused by this incident will be soothed. To whom behind this illegal and vicious incident, Obtaining and maliciously leaking business secrets through illegal means may give you a certain sense of accomplishment, but these acts will not escape the law. The investigation of this incident has been fully launched, and we will take all necessary rights protection measures, including but not limited to civil and criminal rights protection, according to the results of the investigation, to pursue to the end, and severely investigate the legal responsibility of the infringer. We sincerely call on Deepspace Hunters to join us in stopping the spread of this leak. The special mailbox for collecting information and clues about vicious access and leaks related to confidential content has been opened. If you encounter related behaviors or clues that are suspected of malicious leaking, stealing, and spreading undisclosed game content, you are welcome to send relevant information to the following email address: [[email protected]], the relevant departments will follow up the first time. Thank you again for your understanding and support through all this time. I hope we can work together to maintain a healthy and harmonious community environment and protect Linkon City for every player. Love and Deepspace Global Teamshow more

🚀 A better, faster co-folding-based binding affinity model. Predicting... how tightly a drug candidate binds to its target is critical in drug discovery. It also requires massive computational resources. State-of-the-art models can take 20 seconds to a minute per prediction, impractical for the demands of large scale early-stage programs . 💠 Today, Recursion’s Valence Labs is releasing Nesso-1: the fastest open-source co-folding-based binding affinity model available. At 1 second per prediction, it’s roughly 20x faster than our previous collaboration on Boltz-2 while matching or surpassing its accuracy across public and internal benchmarks. By leveraging NVIDIA Healthcare cuEquivariance, we’ve been able to further accelerate both training and inference by an additional 2-3x. We look forward to continuing to improve Nesso-1 in collaboration with NVIDIA. Weights and code are fully open-sourced. The core architectural ideas behind Nesso-1 build on the insight that coarse-grained co-folding representations can match full-atom models for affinity prediction at a fraction of the cost. Nesso-1 is the first open implementation of this approach with no proprietary dependencies, trained entirely on public data, built to be reproducible and extensible. We’re already using Nesso-1 internally in active drug discovery programs. Fast, reliable affinity prediction at scale is foundational to the kind of autonomous design loops that define our vision for Autonomous Precision Design and Nesso-1 is a meaningful step toward that. 👉 Report: 👉 Github: 👉 HF:show more

Household chores created using a movement sheet as reference... to animate the entire scene using ChatGPT Image 2.0 and Seedance 2.0 on Yapper GPT Image 2 Prompt; [VISUAL STYLE] Monochrome grayscale composition featuring a highly detailed 3D-rendered female character. Designed like a professional instructional guide with a technical, diagram-inspired layout. Clean white background, soft studio lighting, and strong contrast to highlight posture, actions, and object interaction. [GRID LAYOUT] Structured 4×4 panel grid (16 frames total), evenly spaced with thin black divider lines. Each panel is identical in size and clearly numbered from 1 to 16, showing a continuous sequence of household activities. [CHARACTER] Use the provided reference image for the face and overall likeness. Same facial features, skin tone, and proportions Natural makeup, soft expression Consistent identity across all 16 panels Realistic proportions and clean hairstyle (loose or tied back) [WARDROBE] Modern, modest casual outfit: Fitted crop top (not revealing, clean neckline, practical for movement) High-waisted straight or slightly wide-leg jeans (full length, neat fit) Optional minimal sneakers or barefoot indoor styling Fabric should react naturally to movement (subtle folds and tension) [SCENE APPROACH] Minimal, clean environment per panel — only essential props related to the chore. No clutter, no complex backgrounds — focus stays on the subject and action. [PANEL STRUCTURE – EACH FRAME] Top-left: Step number + task title (e.g., “Step 4 – Vacuum Floor”) Center: Full-body pose performing the chore Bottom-left: 3–4 concise instruction lines Overlay: Motion arrows and directional guides showing action flow [CHORE SEQUENCE EXAMPLES] Make the Bed Tidy Up Room Dust Surfaces Vacuum Floor Sweep Floor Mop Floor Do Laundry Hang Clothes Fold Clothes Clean Kitchen Counter Wash Dishes Take Out Trash Water Plants Clean Bathroom Organize Shelves Final Room Reset [MOTION INDICATORS] Curved arrows → fluid actions (wiping, folding) Straight arrows → directional movement Circular arrows → repetitive motions (scrubbing, mopping) [RENDER QUALITY] High-detail sculpted 3D style with smooth grayscale shading, soft shadows, and clean linework. Polished, concept-art level finish with clarity in every pose and object interaction. [RESTRICTIONS] No color, no unnecessary background detail, no extra characters, no revealing clothing, no clutter — only the subject, props, and instructional elements.show more

Made this cinematic AI video in minutes using Getvivix... Prompt used below 👇 STORYBOARD 1 "THE KNIGHT" PROJECT TYPE: 10-second cinematic fantasy storyboard CHARACTER LOCK: single consistent knight — original fictional STYLIZED fantasy warrior (not a real person). Full ornate plate armor, VISOR DOWN the entire sequence (face never visible — safe by design), tattered surcoat + banner, mounted on an armored warhorse. Identical armor/horse across all frames. STYLE: epic dark-fantasy, cinematic, painterly film stills PACING & FLOW: slow, weighty, EPIC — no rush. One continuous charge → clash → melee → hero arc. Gradual camera moves; the action carries unbroken from frame to frame (each beat is the next instant of the last). Transitions are match-on-motion — the horse's stride and the sword's arc bridge every cut, never a hard jump. FRAMES (8 shots, 0–10s) — angle | lens | motion | lighting | environment | → into next: 1 (0–1.5s): wide establishing | 24mm | knight reined at a hill crest, banner snapping, slow push-in | cold dawn backlight, mist | battlefield below → camera drifts down as the horse shifts weight 2 (1.5–3s): 3/4-rear tracking | 35mm | horse breaks into a canter down the slope | low sun raking | churned mud, distant ranks → match-on-stride into the gallop 3 (3–4.5s): side tracking | 50mm | full gallop toward the enemy line, dust plume | side rim light, haze | spears + banners ahead → he lowers the lance, carrying the motion 4 (4.5–6s): low-angle hero | 35mm | lance leveled mid-gallop, visor catching light | backlit dust glow | closing on the line → impact begins 5 (6–7s): impact wide | 50mm | lance strikes, enemy hurled back, splinters | harsh flash + sparks | clash of the lines → horse rears from the hit 6 (7–8s): low 3/4 | 35mm | warhorse rears amid the melee, sword drawn | embers, torchlight | swirling battle → the blade sweeps down 7 (8–9s): tracking the blade | 50mm | sweeping arc through foes, motion-blur trail | sparks on steel | bodies + banners → camera settles, pulls back 8 (9–10s): hero hold | 24mm | horse reared, sword raised, banner behind, silhouette | dramatic backlight, battle haze | the field beyond → freeze LAYOUT: film sheet — left: 3 dynamic mounted poses (charging 3/4, rearing, mid-swing — in-scene, visor down); center: 8-frame grid; right: director notes; bottom: 0–10s. VISUAL STYLE: cinematic dark-fantasy, painterly, volumetric dawn light, dust + embers + mist, shallow DOF, motion blur, anamorphic; stylized — NOT photorealistic, not real human skin; FACE NEVER SHOWN (visor down). Seedance on Getvivix lets you generate high-end cinematic visuals for around 1000 credits (~$1), making pro-level video creation cheap and scalable. Try it here:show more

Our objective is to transform $TOAD from a memecoin... into a recognizable, scalable and culturally relevant digital brand one capable of existing far beyond the boundaries of crypto. The strategy is built around several layers: 1. Build the culture first. Strong brands are not manufactured overnight. They are built through identity, consistency and community. TOAD needs its own visual language, recognizable characters, narratives, humor and values something people can identify instantly without even seeing the ticker. 2. Expand beyond the crypto-native audience. Crypto is our starting point, not our ceiling. The long-term ambition is to introduce TOAD to audiences that may know nothing about Solana, liquidity pools or market caps, but understand entertainment, collectibles, fashion, gaming and internet culture. 3. Turn attention into intellectual property. Attention is temporary. IP can compound for years. The goal is to progressively develop the TOAD universe through original characters, storytelling, digital content, collaborations, merchandise and eventually products or experiences capable of standing independently from the token itself. 4. Build strategic distribution. Growth cannot depend exclusively on X or short-term speculation. We want TOAD represented across multiple platforms and formats, with creators, artists, developers and strategic partners contributing to an ecosystem that continuously expands its reach. 5. Create real brand equity. Market capitalization is one metric. Brand recognition is another. The ultimate objective is to build something whose cultural value becomes increasingly difficult to replicate where the community, identity, distribution and IP collectively form a genuine competitive moat. 6. Think in years, not candles. There will always be volatility. What matters is whether every month leaves TOAD stronger than the month before: better infrastructure, stronger branding, broader distribution, more relationships, more holders and a deeper culture. Solana gave TOAD the infrastructure. The community gave TOAD its momentum. Now our responsibility is to give it direction, identity and longevity. We are not building around the question: “How high can this token go?” We are building around a much bigger one: “How far can the TOAD brand go?” The token is the beginning. The brand is the vision. $TOADshow more

As we prepare to launch several projects, we're eager... to provide a general update to our community. We are steadily approaching our end goal, thanks to the daily progress we're making toward our vision. Achieving our objectives will bring about a significant transformation in cross-chain interoperability and the flow of liquidity within protocols. This will address crucial challenges and drive mass adoption. Our future-focused approach and effective team collaboration keep us moving forward in an organized manner. Let’s delve deeper into the state of development of our current products and upcoming projects. Tao Bridge Starting with the Tao Bridge, which enables the #Bittensor community to unlock DeFi opportunities with their $TAO via a highly efficient blockchain like #MultiversX, known for its security, speed, and affordability. We deeply admire #Bittensor and believe a project like that is crucial for the future of not just the crypto space but also humanity, as it addresses the major challenges AI faces today: centralization, siloed and isolated work, which pose risks and hinder the technology's potential. We are committed to the vision of subnets and dynamic $TAO, convinced that this ecosystem is as groundbreaking as #Ethereum or #Bitcoin. We will continue to support #Bittensor wherever possible, and our bridge will also expand to other chains with Hatom V2. The TAO Bridge, deployed on and accessible through will launch on the Mainnet in 14 days, on March 27th. You can follow the countdown on the lending page at Given that our main priorities are security and stability, this period will be primarily focused on quality assurance to ensure a flawless Mainnet launch. The launch will also introduce TAO Liquid Staking at along with the integration of both $wTAO and $swTAO on the lending page. This allows #Bittensor users to leverage liquid stake, employ short or long strategies, among other DeFi strategies, or simply access stablecoin liquidity while maintaining exposure to their $TAO. Up to $1M will be distributed as additional incentives on top of the supply APYs at the launch of the $wTAO and $swTAO money markets, with $200K allocated for the first month specifically for bootstrapping. Initially, 70% of rewards will go to liquidity providers, and 30% to those using $HTM to boost their lending positions. This changes to a 50-50 split in the second month, and by the third month, all incentives are directed through the Booster. This approach encourages early participation and sustained engagement with $HTM. Introducing $TAO to #MultiversX will result in the creation of Liquidity Pools (LPs) on both AshSwap 🔥 and xExchange ⚡. These LPs will be incentivized by both entities, and Hatom will distribute extra rewards at launch. The goal is to make #MultiversX a one-stop hub for $TAO holders. Upon stabilizing the volumes, there will also be plans to integrate it on AshPerp 🔥. Furthermore, with the release of $USH, users will have the ability to mint it while retaining exposure to their $TAO. The TAO Bridge and TAO Liquid Staking smart contracts have been audited by Runtime Vеrification and @arda_project, while penetration testing and DevSecOps have been performed on our infrastructure by CertiK. We're excited to announce our exclusive partnership with TAONEW one of the top 5 validators on #Bittensor. TAONEW has been extremely helpful and supportive from day one. By sharing 50% of its service fee with its stakers, TAONEW enables Hatom to offer an optimized Staking APY to its users. Since our initial reference, #Bittensor has grown sevenfold, becoming the largest AI project in the crypto sphere. We reiterate our commitment to contribute to such technology and hope to address some of its current DeFi challenges. Syfy Moving forward, today marks a significant milestone, not only for our decentralized protocols but also for our development companies, which currently stand as the sole and primary contributors to the Hatom Labs and Soul Labs. We’re excited to unveil Syfy, the evolved identity of Hatom Labs and Soul Labs, now serving as the parent entity for our burgeoning development companies. Organization is crucial for scalability, which is why Syfy was established to cultivate an environment where our teams can collaborate more seamlessly, enhancing our effectiveness and efficiency. At the same time, we remain committed to upholding the financial independence of each project, supported by its own community of funding contributors. Feel free to explore our website at for more information! Additionally, don't forget to follow Syfy and explore their Genesis article highlighted in their initial post: Booster V2 The Booster V2 will introduce a range of new features and opportunities for $HTM holders: Optimized Position Boosting: Previously, boosting was done individually for each money market, necessitating $HTM token distribution and periodic rebalancing due to price fluctuations. With Booster V2, the system now considers the overall position, eliminating the need for manual rebalancing. Gas Fee Reduction: Booster V2 implements optimizations that result in reduced gas fees, making transactions more cost-effective for users. Incorporation of Governance: Users staking $HTM tokens gain voting rights directly within the Booster, allowing them to participate in governance decisions while maintaining their staked positions. (Note: Only $HTM tokens are considered for governance; LP tokens are not included.) Enhanced Boosting Mechanism: The Booster V2 enables LP Tokens to boost positions within the Booster, leveraging trading fees from swaps and farm incentives while boosting lending positions. Smart Contract Completion: The Booster smart contract has been completed and audited by @arda_project, ensuring security and reliability. Frontend Implementation: The frontend design for Booster V2 has been successfully implemented, providing users with an intuitive interface. Collaboration with xExchange: Exploration is ongoing for collaboration with xExchange ⚡ to enable LP creation, farming, and meta-staking within the Booster. Upon finalization of testing, we will launch the Booster V2 on the devnet to gather community feedback and begin preparations for the mainnet release. Soul Before delving into Soul Labs's developments, it's essential to summarize its core functionality briefly: Soul Labs seamlessly connects different lending protocols and blockchains, facilitating lending and borrowing across platforms like Aave, Compound Labs, and Hatom Labs, consolidating liquidity and users' borrowing capabilities. Utilizing LayerZero Labs and other messaging layers for cross-chain communication, Soul Labs bypasses asset bridging or synthetics, unlocking novel DeFi strategies and solidifying its position as the ultimate solution for cross-lending dilemmas. Soul V1 will be permissionless, holding censorship-resistant features, incorporating multiple redundancy mechanisms, and providing support for various DApps. We're thrilled to announce that, following the launch of the Tao Bridge in 2-3 weeks, we will introduce the Soul Labs website. This platform has been meticulously crafted over 250 days to not only provide a comprehensive overview of our vision but also to offer an engaging and captivating experience that promises to be memorable. Regarding the app, significant progress has been made on the V1 protocol, including: Smart Contract Development and Testing: • Completion of the initial phase of smart contract development. • Conducting advanced testing to ensure the system's robustness. • Establishment of a fully functional proof of concept. Successful deployment and testing on the #Goerli (#Ethereum Testnet) and #Mumbai (#Polygon Testnet), leveraging LayerZero Labs for seamless operation. Feature Enhancement and Protocol Optimization: • Enhanced testing procedures to bolster system resilience. • Integration of advanced features and significant code refactoring for optimization. • Incorporation of various communication methods, including LayerZero Labs, Formerly Axelar, now at @axelar, Chainlink CCIP), and wormholecrypto, into Soul Labs framework, enhancing its resilience and flexibility. This allows Soul Labs to maintain operation through alternative protocols if the primary one is temporarily paused. Website Development and Documentation: • Nearing the completion of the v1 app, with final touches being applied. • The preparation of comprehensive V1 documentation and the Yellow Paper, available upon Soul Labs's public launch, offering detailed insights into the platform's infrastructure and capabilities. USH Recognizing the critical need for stable liquidity within the ecosystem, we have positioned ourselves at the forefront of providing a solution by introducing $USH, the first native, decentralized, and over-collateralized stablecoin on #MultiversX. As market conditions have improved, we have observed a growing demand for stablecoins in the ecosystem, evidenced by the utilization rate in the Lending Protocol spiking to over 90% several times in recent months. Therefore, our goal is to tackle the current challenges faced by users by creating a robust product that will not only help them hedge against market volatility but also open up better opportunities to trade the markets and generate yield. We're happy to unveil the $USH website, now live with a sleek and intuitive user interface, designed for ease of use, which ensures that interacting with the protocol is straightforward and accessible for all. You can access it now through this link: For the technical side, we’re advancing steadily and we’ve accomplished the following milestones: Lending Protocol Facilitator: • Coded the first version to support multiple discount factors for different collaterals. • Implemented tracking of borrowing effectiveness to enable earnings forecasting for the module and support minting processes. Isolated Pools Facilitator: • Coded the first version of Isolated Pools Facilitator. • Use of $EGLD or $sEGLD as collateral, with positions stored always in $EGLD to benefit the protocol through Liquid Staking and lending interest. • Virtual account implementation for converting $sEGLD earnings into $USH, functioning like liquidation where users deposit $USH for a higher amount of $HsELGD. Staking Module • Coded the first version of the Staking Module that allows users to stake and unstake without any restrictions. We're currently focusing our efforts on the following tasks: • Implementation of HTM Booster in the discount model in the Lending Protocol. • Implementation of different depeg strategies and brainstorming further potential “soft” depeg mechanisms. • Research and implementation of rewards model for Staking Module. • Research and implementation of Boosted Vaults Facilitator. • Review and stress-test the first version of the code. Upon launch, $USH will be integrated into various protocols and AMMs across the ecosystem, further increasing both its utility and liquidity. The opportunities will be vast, enabling users to engage in a wide range of activities such as yield farming, staking, and arbitrage, all while leveraging a stable and reliable asset. Regarding the USH Airdrop campaign, it will continue until the official launch of $USH planned for late Q2-early Q3, rewarding all users who have actively participated in the initiative. Hatom V2 It is clear by now that we are driven to build a more robust, interoperable, and secure DeFi space, removing the current barriers that hinder users' capabilities to seamlessly interact with different blockchains. Through Hatom V2, we will introduce Hatom's cross-chain architecture, designed from the ground up for interoperability. This approach will elevate the protocol to unprecedented levels, enabling its deployment across various blockchains and facilitating seamless connections between them through Soul. By enhancing interoperability, Hatom V2 aims to foster a more inclusive and accessible ecosystem. This expansion will not only broaden the protocol's reach but also significantly increase its flexibility and utility, allowing users to interact with a diverse range of assets and products across different chains. We’re thrilled to share that we are currently crafting the V2 redesign of the Hatom webpage. Anticipate a jaw-dropping transformation that will truly astonish, blending cutting-edge design with an unparalleled user experience, elevating it to a dynamic, interactive hub, and making every interaction more engaging. Good things take time, but we are confident that the release of V2 website will take place in the second quarter of this year and will officially mark the start of our journey into the cross-chain landscape. We are excited about the future and we truly believe that this will mark the beginning of a new era for Hatom. It's crucial for us to develop rapidly without sacrificing the quality or the security of each product. We're strategically allocating resources to ensure smooth progress in every area of our work. As we push forward, we believe that the launch of Soul Labs will be the most important milestone due to its massive potential and disruptive technology. We would like to thank you all for the unwavering support you've shown over the past few months; it truly fuels our passion to push daily and make strides toward achieving our ambitious goals.show more

Ahead of Hadron Energy beginning trading on Nasdaq under... the ticker $HDRN on May 26th, we wanted to share a glimpse of Hadron’s vision building the future of microreactors. Hadron Energy is developing the Halo Micro Modular Reactor (MMR), a compact, factory-built light-water reactor designed to deliver reliable, carbon-free power for AI data centers, industrial sites, remote communities, military applications, and critical infrastructure. Each Hadron MMR is designed to generate 10 MWe of reliable power and is transportable by truck or rail to support flexible deployment where power is needed most. By generating power directly on-site, Hadron’s microreactors may reduce reliance on extensive transmission and distribution infrastructure. Multiple units can be deployed in a modular format to meet growing demand, with a targeted fuel-cycle of 10 years and an intended 50-year useful life. Hadron’s microreactors leverage proven light-water technology which powers ~90% of the global nuclear power fleet today. The Nuclear Regulatory Commission (NRC) is most familiar with light-water designs, they have ~27,000 cumulative reactor years of operational history, and light-water avoids the risks associated with novel fuels or coolants. Hadron’s microreactors are designed with inherent and passive safety features and are installed below grade to maximize protection of the public and the environment. Hadron uses Low Enriched Uranium Plus (LEU+), enriched to approximately 8% U-235. This fuel builds on the same proven uranium fuel used in today’s commercial reactors while enabling longer operating cycles and efficient power output for microreactor applications through slightly higher enrichment. Because LEU+ remains within the existing regulatory framework, may support a more familiar licensing pathway relative to certain advanced reactor technologies. Most importantly, LEU+ leverages existing portions of the domestic light-water reactor fuel supply chain, which we believe may reduce fuel supply constraints relative to certain advanced reactor approaches dependent on HALEU or TRISO fuel. Our approach focuses on regulatory efficiency and standardized deployment. In October 2025, the NRC accepted Hadron’s Quality Assurance Program Description (QAPD) Topical Report for review, an important step in establishing the company’s regulatory foundation. Hadron maintains active engagement with the NRC through a dual-track pathway, pursuing both Manufacturing and Combined Licenses, while monitoring evolving NRC initiatives intended to support standardized deployment and serial manufacturing approaches for advanced reactors. Hadron’s leadership team brings decades of experience across nuclear plant operations, NRC licensing, reactor engineering, fuel design, and quality assurance, supported by engineers focused on moving from design through deployment efficiently. As electricity demand continues to accelerate globally, particularly across AI infrastructure and industrial applications, Hadron is targeting a growing market expected to exceed $7 billion by 2030, according to Grand View Research. We believe light-water reactors continuing to produce reliable, 24/7 power, will play a critical role in the future of energy and national security. Please refer to Hadron Energy’s public SEC filings for additional information.show more