Loading video...

Video Failed to Load

Go Home

“Slightly cherry-picked” project Arya showcase Spatial AI workshop #ECCV2024

ducha_aiki's profile picture

Dmytro Mishkin 🇺🇦

26,824 subscribers

12,870 views • 1 year ago •via X (Twitter)

ArtsScience & TechnologyEducation#ECCV2024
LIVE

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Excited to showcase this finished bodysuit commission! ✨ This was such a fun project 😊 We tried out a slightly different thigh shape, and built the zip-on feet paws with shoes instead of slippers for extra durability and comfort.
0:05

Excited to showcase this finished bodysuit commission! ✨ This was such a fun project 😊 We tried out a slightly different thigh shape, and built the zip-on feet paws with shoes instead of slippers for extra durability and comfort.

Furesh 🫧

42,767 views • 1 year ago

WEEKLY SHOWCASE 🏁 It's been a busy week in AI 😅 Share your favorite image, video, or project this week 👇 FLUX1.1 [pro] -> Gen-3
0:10

WEEKLY SHOWCASE 🏁 It's been a busy week in AI 😅 Share your favorite image, video, or project this week 👇 FLUX1.1 [pro] -> Gen-3

Heather Cooper

15,992 views • 1 year ago

Weekly Showcase 🌱 Share 1 favorite image, video, or project below 👇 Please, NO political / election-related content! I trained a FLUX model with my images on KREA AI and animated this with Runway on Krea:
0:10

Weekly Showcase 🌱 Share 1 favorite image, video, or project below 👇 Please, NO political / election-related content! I trained a FLUX model with my images on KREA AI and animated this with Runway on Krea:

Heather Cooper

13,043 views • 1 year ago

The Embodied AI Hackathon, hosted by Seeed Studio, brought the #robotics community together to showcase innovations with the LeRobot SO-100ARM. 🦾 📣 Shoutout to the teams showcasing their technical talent by integrating the Isaac GR00T N1 model. #NationalRoboticsWeek Learn more about their project 👉
0:17

The Embodied AI Hackathon, hosted by Seeed Studio, brought the #robotics community together to showcase innovations with the LeRobot SO-100ARM. 🦾 📣 Shoutout to the teams showcasing their technical talent by integrating the Isaac GR00T N1 model. #NationalRoboticsWeek Learn more about their project 👉

NVIDIA Robotics

11,416 views • 1 year ago

The Gemini 2.0 era is here. And we’re excited for you to start building with it. A quick rewind of what we just released ⏪ Gemini 2.0 Flash ⚡ comes with low latency and better performance. 🔵 You can now access an experimental version in G3mini on the web, while Gemini Advanced users can try Deep Research, a new AI research assistant. 🔵 Developers can begin building through the Gemini API in Google AI Studio and Vertex AI 2.0 is also enabling new research prototypes of AI agents, including: 🔵 Project Astra, which explores future capabilities of a universal AI assistant 🔵 Project Mariner, which shows what’s possible for human-agent interaction, starting with your browser 🔵 Jules, an experimental AI-powered coding agent Finally, we’re exploring how 2.0 can be used in agents across domains — from navigating the virtual world of video games to applying its spatial reasoning capabilities to robotics. 🤖
0:14

The Gemini 2.0 era is here. And we’re excited for you to start building with it. A quick rewind of what we just released ⏪ Gemini 2.0 Flash ⚡ comes with low latency and better performance. 🔵 You can now access an experimental version in G3mini on the web, while Gemini Advanced users can try Deep Research, a new AI research assistant. 🔵 Developers can begin building through the Gemini API in Google AI Studio and Vertex AI 2.0 is also enabling new research prototypes of AI agents, including: 🔵 Project Astra, which explores future capabilities of a universal AI assistant 🔵 Project Mariner, which shows what’s possible for human-agent interaction, starting with your browser 🔵 Jules, an experimental AI-powered coding agent Finally, we’re exploring how 2.0 can be used in agents across domains — from navigating the virtual world of video games to applying its spatial reasoning capabilities to robotics. 🤖

Google DeepMind

231,798 views • 1 year ago

Physical AI won't just be limited to controlling robots and spatial computing; it will usher in a new era of machine design. You will be able to "vibe design" a robot - or a part of a robot - or a machine that manufactures robot parts - using high-level specifications such as preferred architecture, material constraints, cost constraints, supply chain and geographic limitations and scalability. AI will provide preliminary designs that human experts can tweak and tune, corresponding supplier catalogs, and machining options. It will also project the talent and CAPEX required at various phases of hardware development.
0:11

Physical AI won't just be limited to controlling robots and spatial computing; it will usher in a new era of machine design. You will be able to "vibe design" a robot - or a part of a robot - or a machine that manufactures robot parts - using high-level specifications such as preferred architecture, material constraints, cost constraints, supply chain and geographic limitations and scalability. AI will provide preliminary designs that human experts can tweak and tune, corresponding supplier catalogs, and machining options. It will also project the talent and CAPEX required at various phases of hardware development.

The Humanoid Hub

48,715 views • 5 months ago

YOMIRGO #Product #Update YOMIRGO AI-HUB OFFICIALLY LAUNCH ---A Structural Upgrade from a Single-Product Model to an AI Agent Ecosystem Platform In its first phase, 11 AI projects have been integrated, spanning high-value sectors including finance, scientific research, enterprise services, development tools, and experiential AI. ➡️AI-Hub: This is not merely a feature expansion — it represents a critical structural upgrade from a single-product architecture to a multi-vertical AI Agent aggregation and capitalization platform. This milestone marks the initial structural formation of the YOMIRGO ecosystem. 1. Structural Distinction Between Agent Matrix Lab and AI-Hub To avoid positioning ambiguity, we formally clarify the structural division between the two: 🔘 Agent Matrix Lab — Internal AI Production & Incubation Platform Agent Matrix Lab serves as YOMIRGO’s proprietary AI development and internal incubation platform, responsible for: • R&D and testing of in-house AI products • Incubation of native AI Agents • Technical architecture experimentation and runtime validation • Testing of AI Agent models, memory systems, and runtime orchestration It functions as the production workshop and experimental engine of YOMIRGO’s “AI Super Factory.” 🔘 AI-Hub — External AI Agent Aggregation & Ecosystem Layer AI-Hub is a market-facing AI Agent aggregation and showcase platform, responsible for: • Curation and onboarding of high-quality AI projects • Cross-vertical structured ecosystem layout • Rating and classification systems • Traffic distribution and ecosystem collaboration entry points AI-Hub is not an internal incubation unit, but a standardized aggregation framework at the ecosystem level. 2. Integrated Project Structure (First Batch) ✅1. Finance & Prediction 🔹Cointoken AI — AI Agent-powered quantitative trading engine 🔹VVAI — AI-driven real-time Web3 intelligence and decision system 🔹AlphaQuant — Global financial market forecasting engine 🔹NextGoals — AI-powered global sports prediction agent This vertical forms the real-time information, trading, and predictive decision infrastructure for Web3-native users. ✅2. Science 🔹Charmen AI — Large-model-based pet acoustic recognition technology 🔹Encore Health — AI-driven health forecasting and longevity management system for high-net-worth individuals 🔹Reproducibility AI — AI expert system for financial engineering validation and academic reproducibility This sector focuses on research-grade AI capabilities, collaborating with universities and research institutions to drive real-world scientific deployment. ✅3. Business 🔹GlobalSales — B2B automated lead-generation AI Agent 🔹ResearchBot — Business intelligence and deep due diligence AI Agent This vertical targets the enterprise market, delivering scalable and commercially viable AI productivity tools. ✅4. Coding 🔹CodeMatrix — Full-stack development assistant Providing AI-driven development infrastructure and low-barrier building capabilities to global users. ✅5. Interesting 🔹Fortunetell AI — AI-powered symbolic analysis and interactive insight system Exploring the application boundaries of AI within experiential and interactive scenarios. 3. YOMIRGO Four-Layer Structural Framework YOMIRGO has now established a clearly defined four-layer structure: ▶️Layer 1: Agent Matrix Lab — Internal Production & Incubation ▶️Layer 2: AI-Hub — Ecosystem Aggregation & Rating ▶️Layer 3: LaunchPad — Capitalization Pathway ▶️Layer 4: Market — Circulation & Value Realization Together forming a complete industrial pipeline: Incubation → Validation → Aggregation → Rating → Capitalization → Market Circulation This is the structural model behind YOMIRGO’s defined “AI Super Factory.” 4. Strategic Significance The launch of AI-Hub signifies: • YOMIRGO has established standardized AI Agent aggregation capabilities • A cross-vertical ecosystem structure is now in place • Internal incubation and external aggregation mechanisms are structurally separated • The AI Agent industrial flywheel has begun operating YOMIRGO is no longer merely an AI product platform, but a structured AI Agent industrial system integrating production, aggregation, capitalization, and circulation. 5. Next Phase • Continue expanding high-utility AI Agents with real-world application value • Optimize AI-Hub’s scoring, rating, and filtering mechanisms • Strengthen synergy with LaunchPad and Market • Enable AI Agents to complete value realization within the ecosystem The first 11 projects are only the beginning. AI-Hub is designed to become a continuously expanding AI Agent gateway — not a static product showcase. Further structural expansion is underway.🔥
0:19

YOMIRGO #Product #Update YOMIRGO AI-HUB OFFICIALLY LAUNCH ---A Structural Upgrade from a Single-Product Model to an AI Agent Ecosystem Platform In its first phase, 11 AI projects have been integrated, spanning high-value sectors including finance, scientific research, enterprise services, development tools, and experiential AI. ➡️AI-Hub: This is not merely a feature expansion — it represents a critical structural upgrade from a single-product architecture to a multi-vertical AI Agent aggregation and capitalization platform. This milestone marks the initial structural formation of the YOMIRGO ecosystem. 1. Structural Distinction Between Agent Matrix Lab and AI-Hub To avoid positioning ambiguity, we formally clarify the structural division between the two: 🔘 Agent Matrix Lab — Internal AI Production & Incubation Platform Agent Matrix Lab serves as YOMIRGO’s proprietary AI development and internal incubation platform, responsible for: • R&D and testing of in-house AI products • Incubation of native AI Agents • Technical architecture experimentation and runtime validation • Testing of AI Agent models, memory systems, and runtime orchestration It functions as the production workshop and experimental engine of YOMIRGO’s “AI Super Factory.” 🔘 AI-Hub — External AI Agent Aggregation & Ecosystem Layer AI-Hub is a market-facing AI Agent aggregation and showcase platform, responsible for: • Curation and onboarding of high-quality AI projects • Cross-vertical structured ecosystem layout • Rating and classification systems • Traffic distribution and ecosystem collaboration entry points AI-Hub is not an internal incubation unit, but a standardized aggregation framework at the ecosystem level. 2. Integrated Project Structure (First Batch) ✅1. Finance & Prediction 🔹Cointoken AI — AI Agent-powered quantitative trading engine 🔹VVAI — AI-driven real-time Web3 intelligence and decision system 🔹AlphaQuant — Global financial market forecasting engine 🔹NextGoals — AI-powered global sports prediction agent This vertical forms the real-time information, trading, and predictive decision infrastructure for Web3-native users. ✅2. Science 🔹Charmen AI — Large-model-based pet acoustic recognition technology 🔹Encore Health — AI-driven health forecasting and longevity management system for high-net-worth individuals 🔹Reproducibility AI — AI expert system for financial engineering validation and academic reproducibility This sector focuses on research-grade AI capabilities, collaborating with universities and research institutions to drive real-world scientific deployment. ✅3. Business 🔹GlobalSales — B2B automated lead-generation AI Agent 🔹ResearchBot — Business intelligence and deep due diligence AI Agent This vertical targets the enterprise market, delivering scalable and commercially viable AI productivity tools. ✅4. Coding 🔹CodeMatrix — Full-stack development assistant Providing AI-driven development infrastructure and low-barrier building capabilities to global users. ✅5. Interesting 🔹Fortunetell AI — AI-powered symbolic analysis and interactive insight system Exploring the application boundaries of AI within experiential and interactive scenarios. 3. YOMIRGO Four-Layer Structural Framework YOMIRGO has now established a clearly defined four-layer structure: ▶️Layer 1: Agent Matrix Lab — Internal Production & Incubation ▶️Layer 2: AI-Hub — Ecosystem Aggregation & Rating ▶️Layer 3: LaunchPad — Capitalization Pathway ▶️Layer 4: Market — Circulation & Value Realization Together forming a complete industrial pipeline: Incubation → Validation → Aggregation → Rating → Capitalization → Market Circulation This is the structural model behind YOMIRGO’s defined “AI Super Factory.” 4. Strategic Significance The launch of AI-Hub signifies: • YOMIRGO has established standardized AI Agent aggregation capabilities • A cross-vertical ecosystem structure is now in place • Internal incubation and external aggregation mechanisms are structurally separated • The AI Agent industrial flywheel has begun operating YOMIRGO is no longer merely an AI product platform, but a structured AI Agent industrial system integrating production, aggregation, capitalization, and circulation. 5. Next Phase • Continue expanding high-utility AI Agents with real-world application value • Optimize AI-Hub’s scoring, rating, and filtering mechanisms • Strengthen synergy with LaunchPad and Market • Enable AI Agents to complete value realization within the ecosystem The first 11 projects are only the beginning. AI-Hub is designed to become a continuously expanding AI Agent gateway — not a static product showcase. Further structural expansion is underway.🔥

YOMIRGO

23,685 views • 5 months ago

Introducing - Spectre AI: The Monarch - Artificial Intelligence Searching Reimagined Introducing a sneak-peak of the next core feature in the Spectre AI Search Engine: The Monarch aka the AI ChatZone. The Monarch will serve as your AI agent, providing not only price information, technical and sentiment analysis, and project discovery, but also offering visual assistance through Spectre AI's integrated utilities within the search platform. Real-time blockchain data integration comes with the support of Google for Startups. The AI ChatZone's landing page will feature projects that users have added to their UI Watchlist, allowing for quick and seamless discussions about their favorite projects. Additionally, the platform will include hyperlinked external sources, enabling users to access a wealth of information and resources directly from within the ChatZone. In this showcase, we demonstrated how the system responds to inquiries about $Palm AI's (PaLM AI - $PALM) price performance. The user interface and user experience (UI/UX) are fully developed, and the frontend is complete. Our backend is now entering the beta testing phase. The MVP is next in line to be showcased. Get ready for a new journey in AI with Spectre AI. #ai #artificialintelligence #google #nvda #nvidia #tech #spectre $SPECT
0:12

Introducing - Spectre AI: The Monarch - Artificial Intelligence Searching Reimagined Introducing a sneak-peak of the next core feature in the Spectre AI Search Engine: The Monarch aka the AI ChatZone. The Monarch will serve as your AI agent, providing not only price information, technical and sentiment analysis, and project discovery, but also offering visual assistance through Spectre AI's integrated utilities within the search platform. Real-time blockchain data integration comes with the support of Google for Startups. The AI ChatZone's landing page will feature projects that users have added to their UI Watchlist, allowing for quick and seamless discussions about their favorite projects. Additionally, the platform will include hyperlinked external sources, enabling users to access a wealth of information and resources directly from within the ChatZone. In this showcase, we demonstrated how the system responds to inquiries about $Palm AI's (PaLM AI - $PALM) price performance. The user interface and user experience (UI/UX) are fully developed, and the frontend is complete. Our backend is now entering the beta testing phase. The MVP is next in line to be showcased. Get ready for a new journey in AI with Spectre AI. #ai #artificialintelligence #google #nvda #nvidia #tech #spectre $SPECT

SPECTRE AI

16,263 views • 1 year ago

🗓️ Monthly Recap- April 🔸April was an exciting and productive month for $HASHAI! Here are some of the major highlights: 🔹Strong Presence At TOKEN2049 We had an impactful week in Dubai, attending many events, securing an award for ‘Most Promising RWA Project’ and built valuable industry connections. 🔹New Roadmap Unveiled We introduced the updated Hash AI Roadmap, outlining our strategic vision and next steps. 🔹Tokenised RWA Sneak Peek A first look at our upcoming tokenised ASIC miners was released, giving the community a taste of what’s to come. 🔹Strategic Partnerships Secured We partnered with M E S S I E R | M87 and Cherry AI, strengthening our ecosystem and growing our network even further. 🔹Hash AI One Year Anniversary On April 2nd, we celebrated one year of Hash AI- 12 months of innovation, growth, and resilience.
0:15

🗓️ Monthly Recap- April 🔸April was an exciting and productive month for $HASHAI! Here are some of the major highlights: 🔹Strong Presence At TOKEN2049 We had an impactful week in Dubai, attending many events, securing an award for ‘Most Promising RWA Project’ and built valuable industry connections. 🔹New Roadmap Unveiled We introduced the updated Hash AI Roadmap, outlining our strategic vision and next steps. 🔹Tokenised RWA Sneak Peek A first look at our upcoming tokenised ASIC miners was released, giving the community a taste of what’s to come. 🔹Strategic Partnerships Secured We partnered with M E S S I E R | M87 and Cherry AI, strengthening our ecosystem and growing our network even further. 🔹Hash AI One Year Anniversary On April 2nd, we celebrated one year of Hash AI- 12 months of innovation, growth, and resilience.

Hash AI

31,746 views • 1 year ago

Just a few days until our Hackathon with the ACM Student Chapter at Austin Community College (ACM ACC) and the City of Austin (City of Austin) April 26-27! 💻 Limited slots remain, so if you or anyone you know wants to take on the challenge of building AI solutions for Public Safety & Accessibility - THIS is the event you want to be part of. - ~$20k worth of prizes up for grabs - Winning teams may even see their work move forward in partnership with city leadership - Not building but want to see what's created? Join us for the project showcase on April 27th Register now:
0:10

Just a few days until our Hackathon with the ACM Student Chapter at Austin Community College (ACM ACC) and the City of Austin (City of Austin) April 26-27! 💻 Limited slots remain, so if you or anyone you know wants to take on the challenge of building AI solutions for Public Safety & Accessibility - THIS is the event you want to be part of. - ~$20k worth of prizes up for grabs - Winning teams may even see their work move forward in partnership with city leadership - Not building but want to see what's created? Join us for the project showcase on April 27th Register now:

webAI

44,013 views • 1 year ago

There are currently 61 humanoid companies spanning 13 countries with a total of 88 humanoids Spent my free time creating an extensive display of humanoid companies to learn the current landscape Opinions: - Super saturated, every developed country fund and build humanoid robots, even developing countries like Vietnam has their own humanoid. - Software is the moat. Breakthrough in software will explode adaptation of robots in both consumer and industry. Observation: - Naming: Robots tends to be named in the following formula: Name + Generation (i.e. MagicBot Gen 1, Vanar Gen 1) or Name + Random Letter + Number (i.e. Jaka K1, Kinisi 01, Unitree G1). - Two diversion in use case: One side focus on utility (Figure, X1, etc.), the other focus on companionship (Enchanted Tools, Andromeda, etc.) Category imo: - Unique Design: Fourier, Enchanted Tools, Slightly Overdone Robotics, Pollen Robotics. - Unique Actuator: Clone Robotics - Best Capabilities: too soon to tell, too much online cherry picked demos instead of real life demonstration. - Most Natural Motion: Cartwheel Robotics, Pollen Robotics. - Highest Cost: Tesla. Hmu or comment below if you want the list.
0:19

There are currently 61 humanoid companies spanning 13 countries with a total of 88 humanoids Spent my free time creating an extensive display of humanoid companies to learn the current landscape Opinions: - Super saturated, every developed country fund and build humanoid robots, even developing countries like Vietnam has their own humanoid. - Software is the moat. Breakthrough in software will explode adaptation of robots in both consumer and industry. Observation: - Naming: Robots tends to be named in the following formula: Name + Generation (i.e. MagicBot Gen 1, Vanar Gen 1) or Name + Random Letter + Number (i.e. Jaka K1, Kinisi 01, Unitree G1). - Two diversion in use case: One side focus on utility (Figure, X1, etc.), the other focus on companionship (Enchanted Tools, Andromeda, etc.) Category imo: - Unique Design: Fourier, Enchanted Tools, Slightly Overdone Robotics, Pollen Robotics. - Unique Actuator: Clone Robotics - Best Capabilities: too soon to tell, too much online cherry picked demos instead of real life demonstration. - Most Natural Motion: Cartwheel Robotics, Pollen Robotics. - Highest Cost: Tesla. Hmu or comment below if you want the list.

Binh Pham

65,656 views • 10 months ago

World Model is trending— let's revisit our HunyuanWorld journey. We’ve been pioneering open-source 3D world generation in the past two months, and this ride’s only getting started. 🌍 📅 July: HunyuanWorld 1.0 📌 First open-source 3D world model compatible with CG pipelines (Unity/Unreal/Blender) 📌 Hit 2K+ GitHub stars in just two months ⭐—thank you for the love! 📅 August: 1.0-Lite 📌Same top-tier quality, running on consumer GPUs! 📅 September: 1.0-Voyager 📌 Direct 3D output + world memory—taking exploration further! Seamlessly integrated into CG pipelines with layered 3D modeling (assets, terrain, skybox) and fully open-sourced.. we’re fully committed to building open-source spatial intelligence for all! 🚀 💡 Why it matters? ✅ Seamless CG Pipeline Integration: Export generated 3D scenes as standard mesh formats, effortlessly integrating into industry-standard tools like Blender, Unity, and Unreal Engine for direct editing, animation, and physical simulation. ✅ Hierarchical Scene Editing: Deconstruct scenes into semantic layers (sky, background, foreground objects) via instance recognition and layer decomposition, allowing for atomic-level control—independently modify, relocate, or replace objects without rebuilding the entire world. Project page: Github: Amazing creations by Stijn Spanhove camenduru GENEL | AIを用いた動画制作 apolinario 🌐 とりにく Directive Creator 🪥 👇 #AI #3DGeneration #OpenSource #WorldModels #Hunyuan3D #HunyuanWorld
0:28

World Model is trending— let's revisit our HunyuanWorld journey. We’ve been pioneering open-source 3D world generation in the past two months, and this ride’s only getting started. 🌍 📅 July: HunyuanWorld 1.0 📌 First open-source 3D world model compatible with CG pipelines (Unity/Unreal/Blender) 📌 Hit 2K+ GitHub stars in just two months ⭐—thank you for the love! 📅 August: 1.0-Lite 📌Same top-tier quality, running on consumer GPUs! 📅 September: 1.0-Voyager 📌 Direct 3D output + world memory—taking exploration further! Seamlessly integrated into CG pipelines with layered 3D modeling (assets, terrain, skybox) and fully open-sourced.. we’re fully committed to building open-source spatial intelligence for all! 🚀 💡 Why it matters? ✅ Seamless CG Pipeline Integration: Export generated 3D scenes as standard mesh formats, effortlessly integrating into industry-standard tools like Blender, Unity, and Unreal Engine for direct editing, animation, and physical simulation. ✅ Hierarchical Scene Editing: Deconstruct scenes into semantic layers (sky, background, foreground objects) via instance recognition and layer decomposition, allowing for atomic-level control—independently modify, relocate, or replace objects without rebuilding the entire world. Project page: Github: Amazing creations by Stijn Spanhove camenduru GENEL | AIを用いた動画制作 apolinario 🌐 とりにく Directive Creator 🪥 👇 #AI #3DGeneration #OpenSource #WorldModels #Hunyuan3D #HunyuanWorld

Tencent HY

20,178 views • 10 months ago

🚨 THE BIGGEST BOTTLENECK IN AI ISN'T COMPUTING POWER ANYMORE IT'S MOVING DATA. Instead of laying new cables, Chinese researchers have upgraded existing fiber infrastructure by doing two things at once: Using three wavelength bands (C + L + S) instead of the usual two. Using four cores inside each fiber instead of one. Each core acts like an independent highway, and each band acts like an extra lane on that highway. Together, they’ve reportedly increased transmission capacity per core by nearly 50% and overall data throughput by up to 5×. This matters enormously for AI. Modern AI clusters move terabits of data per second between thousands of GPUs. The biggest bottleneck is often not the chips themselves, but moving data fast enough between them. If you can push 5× more data through the same physical cables, you can train bigger models faster and reduce network congestion. Why this is significant: • It shows multi-core + extended spectrum technology moving from labs into real-world commercial use • The system has already run over 35 km of existing telecom network • It could be especially useful for submarine cables and large-scale data center interconnects • China is also eyeing it for its “Eastern Data, Western Computing” project The deeper implication: We’re reaching the physical limits of how much data we can push through single-core fibers using traditional methods. By combining spatial multiplexing (multiple cores) with spectral multiplexing (more wavelength bands), engineers are finding new ways to keep scaling bandwidth without having to dig up the planet to lay new cables. This kind of breakthrough is quiet but foundational it’s the kind of infrastructure upgrade that will determine how fast AI and cloud computing can actually grow in the coming years. The future of data movement might not require more cables. It might just require smarter ones. How important do you think multi-core and multi-band fiber will be for keeping up with AI’s exploding data demands? Follow for more frontier networking, photonics, and infrastructure technology.
0:10

🚨 THE BIGGEST BOTTLENECK IN AI ISN'T COMPUTING POWER ANYMORE IT'S MOVING DATA. Instead of laying new cables, Chinese researchers have upgraded existing fiber infrastructure by doing two things at once: Using three wavelength bands (C + L + S) instead of the usual two. Using four cores inside each fiber instead of one. Each core acts like an independent highway, and each band acts like an extra lane on that highway. Together, they’ve reportedly increased transmission capacity per core by nearly 50% and overall data throughput by up to 5×. This matters enormously for AI. Modern AI clusters move terabits of data per second between thousands of GPUs. The biggest bottleneck is often not the chips themselves, but moving data fast enough between them. If you can push 5× more data through the same physical cables, you can train bigger models faster and reduce network congestion. Why this is significant: • It shows multi-core + extended spectrum technology moving from labs into real-world commercial use • The system has already run over 35 km of existing telecom network • It could be especially useful for submarine cables and large-scale data center interconnects • China is also eyeing it for its “Eastern Data, Western Computing” project The deeper implication: We’re reaching the physical limits of how much data we can push through single-core fibers using traditional methods. By combining spatial multiplexing (multiple cores) with spectral multiplexing (more wavelength bands), engineers are finding new ways to keep scaling bandwidth without having to dig up the planet to lay new cables. This kind of breakthrough is quiet but foundational it’s the kind of infrastructure upgrade that will determine how fast AI and cloud computing can actually grow in the coming years. The future of data movement might not require more cables. It might just require smarter ones. How important do you think multi-core and multi-band fiber will be for keeping up with AI’s exploding data demands? Follow for more frontier networking, photonics, and infrastructure technology.

TheNewPhysics

20,485 views • 1 month ago

The architecture of this new world model is one of the most interesting things I've seen lately: Let me first explain how most world models work: They predict and render one frame at a time. If you are navigating in one of these worlds, and you look left, the model draws whatever looks right in the moment. Every time you change your viewpoint, the model has to imagine what should be there again, so it's very common for these models to "forget" what's in the world. For example, if you put a toy on the table, look away, then look back, the toy might not be there anymore. Tripo AI is releasing its Project Eden model, which works very differently: The model builds the world first, and then renders it based on that map. That map holds the real state of the world: the geometry, every object, where things are, what's already happened. The picture you see on screen gets generated from the map. This architecture flips the whole thing. Now, you get the following: 1. The world stops forgetting. Leave, come back, and the toy is still on the table because it lives in the map, not in the last frame you saw. 2. You can edit the world, and those changes persist for anyone who enters later. 3. Multiple people and AI agents can coexist in the world and see it from different perspectives. This is early research, but it's looking really promising. They just raised nearly $200M across two rounds to build it out. Tripo will be at SIGGRAPH 2026 (July 19–23, Los Angeles Convention Center). If you work in 3D, embodied AI, simulation, or anything spatial, go connect with them there.
0:10

The architecture of this new world model is one of the most interesting things I've seen lately: Let me first explain how most world models work: They predict and render one frame at a time. If you are navigating in one of these worlds, and you look left, the model draws whatever looks right in the moment. Every time you change your viewpoint, the model has to imagine what should be there again, so it's very common for these models to "forget" what's in the world. For example, if you put a toy on the table, look away, then look back, the toy might not be there anymore. Tripo AI is releasing its Project Eden model, which works very differently: The model builds the world first, and then renders it based on that map. That map holds the real state of the world: the geometry, every object, where things are, what's already happened. The picture you see on screen gets generated from the map. This architecture flips the whole thing. Now, you get the following: 1. The world stops forgetting. Leave, come back, and the toy is still on the table because it lives in the map, not in the last frame you saw. 2. You can edit the world, and those changes persist for anyone who enters later. 3. Multiple people and AI agents can coexist in the world and see it from different perspectives. This is early research, but it's looking really promising. They just raised nearly $200M across two rounds to build it out. Tripo will be at SIGGRAPH 2026 (July 19–23, Los Angeles Convention Center). If you work in 3D, embodied AI, simulation, or anything spatial, go connect with them there.

Santiago

30,189 views • 1 month ago

My favorite AI workflow lately is my thought-to-post pipeline. I just go on walks, have a good content idea, ramble it, and have an optimized post in my writing style without typing. It's super simple: 1. Download an AI-powered voice dictation app to your phone (I use Wispr Flow) 2. Go on long walks and let ideas flow - when you get a good one, open Wispr Flow and ramble your thoughts (doesn't need to be perfect) 3. Notes auto-save. These become the core ideas for posts later 4. Open Claude and create a new Project called "Post generator" 5. Use this prompt: "I’m going to provide you with my own written material, and your task will be to understand and mimic its style. You'll start this exercise by saying "BEGIN.” After, I'll present an example text, to which you'll respond, "CONTINUE". The process will continue similarly with another piece of writing and then with further examples. I'll give you unlimited examples. Your response will only be "CONTINUE.” You're only permitted to change your response when I tell you "FINISHED". After this, you'll explore and understand the tone, style, and characteristics of my writing based on the samples I've given. Finally, I'll prompt you to craft a new piece of writing on a specified topic, emulating my distinctive writing style" 6. Now's the fun part: Go to Twitter Analytics and download your top posts (Premium → Analytics → Content → Download button) 7. Paste your best-performing tweets into Claude repeatedly until it says "FINISHED" 8. Take your voice notes, paste them into your trained Claude Project, prompt "make a post in my writing style" 9. Post is ready to go. Polish and edit slightly *if* needed. The AI is trained on how you actually write, not generic content. Your voice notes capture your real, raw thoughts without the friction of typing. I have my best ideas while walking. If I try to write them in my notes app mid-walk, I forget halfway through. Voice dictation captures everything as I ramble. Game changer for turning scattered thoughts into polished posts!
0:14

My favorite AI workflow lately is my thought-to-post pipeline. I just go on walks, have a good content idea, ramble it, and have an optimized post in my writing style without typing. It's super simple: 1. Download an AI-powered voice dictation app to your phone (I use Wispr Flow) 2. Go on long walks and let ideas flow - when you get a good one, open Wispr Flow and ramble your thoughts (doesn't need to be perfect) 3. Notes auto-save. These become the core ideas for posts later 4. Open Claude and create a new Project called "Post generator" 5. Use this prompt: "I’m going to provide you with my own written material, and your task will be to understand and mimic its style. You'll start this exercise by saying "BEGIN.” After, I'll present an example text, to which you'll respond, "CONTINUE". The process will continue similarly with another piece of writing and then with further examples. I'll give you unlimited examples. Your response will only be "CONTINUE.” You're only permitted to change your response when I tell you "FINISHED". After this, you'll explore and understand the tone, style, and characteristics of my writing based on the samples I've given. Finally, I'll prompt you to craft a new piece of writing on a specified topic, emulating my distinctive writing style" 6. Now's the fun part: Go to Twitter Analytics and download your top posts (Premium → Analytics → Content → Download button) 7. Paste your best-performing tweets into Claude repeatedly until it says "FINISHED" 8. Take your voice notes, paste them into your trained Claude Project, prompt "make a post in my writing style" 9. Post is ready to go. Polish and edit slightly *if* needed. The AI is trained on how you actually write, not generic content. Your voice notes capture your real, raw thoughts without the friction of typing. I have my best ideas while walking. If I try to write them in my notes app mid-walk, I forget halfway through. Voice dictation captures everything as I ramble. Game changer for turning scattered thoughts into polished posts!

Rowan Cheung

129,419 views • 10 months ago

let me explain what Anthropic just did they built an AI model so good at finding security vulnerabilities that they have refused to release it meet Claude Mythos → it’s Anthropic’s newest frontier model and it’s not available to the public. not because it’s not ready. because it’s too dangerous → Mythos found tens of thousands of zero day vulnerabilities across every major operating system and web browser… many of them 1 to 2 decades old. for context… Opus 4.6 found about 500. Mythos found tens of thousands → it found vulnerabilities in the Linux kernel. a 27 year old vulnerability in OpenBSD. a 16 year old vulnerability in FFmpeg → it doesn’t just find bugs. it writes the exploits too. that’s the part that scared them → so instead of releasing it… Anthropic has created Project Glasswing. a cybersecurity initiative where they hand picked 40+ companies to use Mythos for defense only → the partner list reads like a who’s who of tech… Amazon, Apple, Microsoft, Google, Nvidia, Broadcom, Cisco, CrowdStrike, Palo Alto Networks, JPMorgan, the Linux Foundation → Anthropic is giving up to $100 million in usage credits to these partners and $4 million to open source security organizations → they’re briefing CISA and the Commerce Department on how to handle this → the benchmarks are truly insane… Mythos hit 77.8% on SWE-bench Pro where Opus 4.6 scored 53.4%. hit 93.9% on SWE-bench Verified where Opus 4.6 scored 80.8% → Anthropic’s head of frontier red team said this is “the first time a model is this good that we decided to approach release in a very different way” this is the first time an AI company has held back a model because it was too capable not too expensive. not too slow. too dangerous and instead of locking it in a vault they weaponized it for defense and gave it to the companies that run the internet that’s either the most responsible thing an AI company has ever done… or the scariest only time will tell
0:11

let me explain what Anthropic just did they built an AI model so good at finding security vulnerabilities that they have refused to release it meet Claude Mythos → it’s Anthropic’s newest frontier model and it’s not available to the public. not because it’s not ready. because it’s too dangerous → Mythos found tens of thousands of zero day vulnerabilities across every major operating system and web browser… many of them 1 to 2 decades old. for context… Opus 4.6 found about 500. Mythos found tens of thousands → it found vulnerabilities in the Linux kernel. a 27 year old vulnerability in OpenBSD. a 16 year old vulnerability in FFmpeg → it doesn’t just find bugs. it writes the exploits too. that’s the part that scared them → so instead of releasing it… Anthropic has created Project Glasswing. a cybersecurity initiative where they hand picked 40+ companies to use Mythos for defense only → the partner list reads like a who’s who of tech… Amazon, Apple, Microsoft, Google, Nvidia, Broadcom, Cisco, CrowdStrike, Palo Alto Networks, JPMorgan, the Linux Foundation → Anthropic is giving up to $100 million in usage credits to these partners and $4 million to open source security organizations → they’re briefing CISA and the Commerce Department on how to handle this → the benchmarks are truly insane… Mythos hit 77.8% on SWE-bench Pro where Opus 4.6 scored 53.4%. hit 93.9% on SWE-bench Verified where Opus 4.6 scored 80.8% → Anthropic’s head of frontier red team said this is “the first time a model is this good that we decided to approach release in a very different way” this is the first time an AI company has held back a model because it was too capable not too expensive. not too slow. too dangerous and instead of locking it in a vault they weaponized it for defense and gave it to the companies that run the internet that’s either the most responsible thing an AI company has ever done… or the scariest only time will tell

klöss

21,270 views • 3 months ago

Love at First Fitting — A Cinematic Luxury Boutique Romance Made with seedance 2.0 on Lart AI Try it here: Prompt: Luxury Boutique Encounter — 15 Seconds 0–3 Seconds Inside an ultra-luxurious designer shoe boutique bathed in warm golden lighting, crystal reflections shimmer across polished marble floors and elegant display shelves. A stunning young Western woman with fair skin and long blonde wavy hair styled in a loose, elegant updo stands gracefully beside a velvet fitting chair. Soft face-framing bangs accent her delicate features, while a pink cherry blossom hair accessory adorns her hair. She wears a refined light-purple, off-shoulder yukata-inspired designer dress featuring blue and pink cherry blossom and fireworks motifs, flowing sleeves, and an elegant obi-style waist sash. In her right hand, she holds a delicate floral folding fan. Camera: Slow cinematic upward dolly from the marble floor, revealing her poised, confident elegance. Woman (smiling softly): "It's rare to find someone who pays attention to every detail." --- 3–7 Seconds A handsome young boutique assistant kneels beside her. He has neatly styled dark hair, gentle eyes, and a calm, professional demeanor. Dressed in a tailored white shirt, black vest, black trousers, and elegant gloves, he carefully fits a pair of luxury nude stiletto heels onto her feet with precise, graceful movements. He briefly looks up, quietly captivated by her elegance. Assistant: "Some designs become unforgettable the moment you see them." --- 7–11 Seconds The woman leans forward slightly with an amused smile. Crystal chandeliers sparkle overhead as soft reflections dance across the boutique. She gently twirls her folding fan. Woman: "Are you talking about the shoes... or something else?" The assistant smiles shyly. Assistant: "The shoes are beautiful... But they aren't what caught my attention first." --- 11–15 Seconds He gently finishes fitting the heel and rises. The woman takes several graceful steps across the polished marble floor as the camera follows in cinematic slow motion. Their eyes meet. Woman (playfully): "Then perhaps this shopping trip was worth it after all." Assistant (warm smile): "I think so too." Ending Shot Cinematic slow-motion close-up of her smile and his admiring expression. Crystal reflections shimmer throughout the boutique, creating a luxurious, romantic atmosphere. Style: Photorealistic, ultra-detailed, premium fashion commercial, luxury boutique aesthetic, cinematic lighting, shallow depth of field, 4K HDR, high-end advertisement quality
0:15

Love at First Fitting — A Cinematic Luxury Boutique Romance Made with seedance 2.0 on Lart AI Try it here: Prompt: Luxury Boutique Encounter — 15 Seconds 0–3 Seconds Inside an ultra-luxurious designer shoe boutique bathed in warm golden lighting, crystal reflections shimmer across polished marble floors and elegant display shelves. A stunning young Western woman with fair skin and long blonde wavy hair styled in a loose, elegant updo stands gracefully beside a velvet fitting chair. Soft face-framing bangs accent her delicate features, while a pink cherry blossom hair accessory adorns her hair. She wears a refined light-purple, off-shoulder yukata-inspired designer dress featuring blue and pink cherry blossom and fireworks motifs, flowing sleeves, and an elegant obi-style waist sash. In her right hand, she holds a delicate floral folding fan. Camera: Slow cinematic upward dolly from the marble floor, revealing her poised, confident elegance. Woman (smiling softly): "It's rare to find someone who pays attention to every detail." --- 3–7 Seconds A handsome young boutique assistant kneels beside her. He has neatly styled dark hair, gentle eyes, and a calm, professional demeanor. Dressed in a tailored white shirt, black vest, black trousers, and elegant gloves, he carefully fits a pair of luxury nude stiletto heels onto her feet with precise, graceful movements. He briefly looks up, quietly captivated by her elegance. Assistant: "Some designs become unforgettable the moment you see them." --- 7–11 Seconds The woman leans forward slightly with an amused smile. Crystal chandeliers sparkle overhead as soft reflections dance across the boutique. She gently twirls her folding fan. Woman: "Are you talking about the shoes... or something else?" The assistant smiles shyly. Assistant: "The shoes are beautiful... But they aren't what caught my attention first." --- 11–15 Seconds He gently finishes fitting the heel and rises. The woman takes several graceful steps across the polished marble floor as the camera follows in cinematic slow motion. Their eyes meet. Woman (playfully): "Then perhaps this shopping trip was worth it after all." Assistant (warm smile): "I think so too." Ending Shot Cinematic slow-motion close-up of her smile and his admiring expression. Crystal reflections shimmer throughout the boutique, creating a luxurious, romantic atmosphere. Style: Photorealistic, ultra-detailed, premium fashion commercial, luxury boutique aesthetic, cinematic lighting, shallow depth of field, 4K HDR, high-end advertisement quality

Noor

18,601 views • 29 days ago

Holy shit. Four and a half years. My role as Marketing & PR Manager at Syscoin has officially ended, and I needed to write this before I posted anything else. So please, stop DM'ing me about Binance AMA's for $200 and telegram trade groups that have all the alpha, and 100k "active" members in them lol. The day I knew web3 was going to be the industry I live and die in started in Dubai. Binance Blockchain Week, March 2022. We threw what I still think was one of the best side events in blockchain history at the time, and from that night forward we had a standard. Syscoin stayed the true web3 vibe that everyone else strayed away from for casinos and meme tokens that died 2 years later. We always had the vibe. The right room, the right people, the right energy. That became the rhythm of the next four years for us. Syscoin stayed imitated but never duplicated over the next four years. Austin. Nashville. Las Vegas. Colombia, Singapore, Dubai, Davos. Medellín, where I first met Fernando Paredes at Devconnect, in a room full of builders who were actually building. Conferences and events all blur together when you've been to enough of them. But the side rooms don't. The 1am conversations don't. Those are the moments that built the network. Those are the moments I'll carry. Through every one of those rooms I had the honor of working alongside some of the biggest names in this industry. VC's, Founders, exchange leadership, protocol engineers, journalists, influencers and KOLs who actually move markets, builders shipping in silence. The kind of access most people in this space never get and with current industry conditions may actually never get again. I never took a single one of those rooms or connections for granted if you can't already tell by my X following. Behind all of it, the receipts that don't fit on a tweet. Over 400 terabytes of content, video, graphics, strategies, brand systems, blueprints, four years of building the marketing engine for a chain trying to scale Bitcoin without compromise. Thousands of hours, research, everything we needed to make it through cycle after cycle with our integrity, honesty and trust intact. Hundreds of strategies and playbooks that never even made it to market. There were good times. There were bad times. Anyone who tells you a four-year run inside a top-tier crypto project was all good times is selling you some straight bullshit. The project came out the other side. The team came out the other side. The work continued. That matters more than the noise. To everyone who made this run what it was. Every founder who picked up a call, every KOL who actually showed up, every journalist who took the meeting, every member of the community who never asked for anything but stayed loyal anyway. Thank you. So what's next for me? This astronaut isn't leaving the field. He's walking into the Wasteland of what he's had to watch our industry become over the last decade. Somewhere out there is the oasis. I'm going deep into AI. AI infrastructure and AI-native marketing, the place where autonomous agents, content systems, and Web3 product strategy actually meet. The next decade will define what the next century holds and I'm here to capture that. I've spent the last two years quietly building in that lane and I'm ready to make it the lane. If you're still in Web3, AI, or the seam where the two collide, my DMs are open. What a ride. — 1DC
0:15

Holy shit. Four and a half years. My role as Marketing & PR Manager at Syscoin has officially ended, and I needed to write this before I posted anything else. So please, stop DM'ing me about Binance AMA's for $200 and telegram trade groups that have all the alpha, and 100k "active" members in them lol. The day I knew web3 was going to be the industry I live and die in started in Dubai. Binance Blockchain Week, March 2022. We threw what I still think was one of the best side events in blockchain history at the time, and from that night forward we had a standard. Syscoin stayed the true web3 vibe that everyone else strayed away from for casinos and meme tokens that died 2 years later. We always had the vibe. The right room, the right people, the right energy. That became the rhythm of the next four years for us. Syscoin stayed imitated but never duplicated over the next four years. Austin. Nashville. Las Vegas. Colombia, Singapore, Dubai, Davos. Medellín, where I first met Fernando Paredes at Devconnect, in a room full of builders who were actually building. Conferences and events all blur together when you've been to enough of them. But the side rooms don't. The 1am conversations don't. Those are the moments that built the network. Those are the moments I'll carry. Through every one of those rooms I had the honor of working alongside some of the biggest names in this industry. VC's, Founders, exchange leadership, protocol engineers, journalists, influencers and KOLs who actually move markets, builders shipping in silence. The kind of access most people in this space never get and with current industry conditions may actually never get again. I never took a single one of those rooms or connections for granted if you can't already tell by my X following. Behind all of it, the receipts that don't fit on a tweet. Over 400 terabytes of content, video, graphics, strategies, brand systems, blueprints, four years of building the marketing engine for a chain trying to scale Bitcoin without compromise. Thousands of hours, research, everything we needed to make it through cycle after cycle with our integrity, honesty and trust intact. Hundreds of strategies and playbooks that never even made it to market. There were good times. There were bad times. Anyone who tells you a four-year run inside a top-tier crypto project was all good times is selling you some straight bullshit. The project came out the other side. The team came out the other side. The work continued. That matters more than the noise. To everyone who made this run what it was. Every founder who picked up a call, every KOL who actually showed up, every journalist who took the meeting, every member of the community who never asked for anything but stayed loyal anyway. Thank you. So what's next for me? This astronaut isn't leaving the field. He's walking into the Wasteland of what he's had to watch our industry become over the last decade. Somewhere out there is the oasis. I'm going deep into AI. AI infrastructure and AI-native marketing, the place where autonomous agents, content systems, and Web3 product strategy actually meet. The next decade will define what the next century holds and I'm here to capture that. I've spent the last two years quietly building in that lane and I'm ready to make it the lane. If you're still in Web3, AI, or the seam where the two collide, my DMs are open. What a ride. — 1DC

1DC

14,875 views • 2 months ago

Seedance 2.0 on Higgsfield AI delivers some of the best camera motion, consistency, and creative control I've seen in AI video generation. Full Open-sourced prompts & assets below: SCENE CONTEXT A bright summer afternoon on the coastal road: the young man drives the mint scooter down toward the sea with the young woman riding behind him, arms around his waist — an easy, happy ride past the railway crossing along the water. ACTIVE REFERENCES >> — young woman, 20 years old, 165 cm tall, slender, straight dark brown hair with side-swept bangs pinned by a small black clip, freckles across her cheeks and nose. 100% matches the reference. >> — young man, 22 years old, 178 cm tall, lean, sun-tanned, messy dark hair under a tan baseball cap worn backwards. 100% matches the reference. >> — vehicle: vintage mint-green scooter with a brown leather saddle, chrome mirrors and silver wheels. 100% matches the reference. >> — location: coastal road curving downhill past a railway crossing with yellow-and-black crossbuck signs, utility poles and wires, stone embankment walls, an orange convex traffic mirror on a pole, the open sea with white-capped waves behind. LOCATION MAP The road from >> curves downhill through the midground toward the railway crossing, the sea filling the background beyond it. Stone embankments rise on both sides, the orange convex mirror stands on the right shoulder in the near foreground, utility poles line the curve. Their path: down the curve, past the crossing, along the water toward screen-left. Primary light: bright seaside daylight, sun high, wind off the sea. FIRST FRAME AND SPATIAL BLOCKING The first visible frame already contains >> rolling down the curve with both riders aboard — >> driving, hands on the grips, >> seated close behind him, arms wrapped around his waist, her head just above his shoulder, a full head shorter than him. No empty establishing frame, no delayed reveal. He drives in every segment; she is always the passenger. FORMAT MODE Controlled four-segment multi-shot sequence: one INSERT CUT and two HARD CUTS. Real-time motion at an easy unhurried scooter pace. Every segment is shot handheld — no static shot anywhere in the sequence. OPTICS LENS LOCK SEGMENT 1 = 47° diagonal field of view, standard normal lens character, camera 12 to 15 meters at the roadside, the scooter and both riders full in frame with the crossing and sea behind, straight lines rectilinear, no fisheye. Soft vintage lens rendering: gentle edge softness, mild halation in the bright sky and sea glare, even brightness across the whole frame — no vignette, corners stay as bright as the center. This rendering applies to every segment. LENS LOCK SEGMENT 2 = 29° diagonal field of view, short telephoto character, camera 3 to 4 meters tracking alongside from a following vehicle, close two-shot of their faces and shoulders, the sea streaming soft behind them. LENS LOCK SEGMENT 3 = 29°, camera 1.5 to 2 meters, tight insert on her hands clasped at his stomach, the mint body and brown saddle below, road surface blurring past. LENS LOCK SEGMENT 4 = 47°, camera 10 to 12 meters behind the orange convex mirror on the right shoulder, the mirror large in the near foreground reflecting the road, the real scooter passing through the frame and receding along the sea. No drift mid-segment. CAMERA Handheld in every segment with no exceptions — a real operator at the roadside and in a following vehicle: the frame breathes with shoulder sway and soft micro-tremor visible in every second, small late reframes chasing the scooter and easing back; the tracking shot carries gentle road vibration on top of the hand movement; the insert trembles slightly more; the mirror wide breathes slower but never freezes. No tripod stillness, no gimbal smoothness, no stabilization anywhere. On top, the footage behaves like an old film print running through a projector: constant subtle gate weave, faint exposure flicker, occasional tiny dust specks and hairline scratches, image soft and slightly diffused like an aged 16mm print — never sharp, never digitally clean, no vignette or darkened corners at any moment. ACTION TIMING 0.0s to 3.5s — Roadside wide: the mint scooter putters down the curve at an easy pace, leaning gently with the bend; >> relaxed at the grips, >> pressed close behind him, her hair and skirt hem streaming in the sea wind; they pass the yellow-and-black crossing signs with the white-capped sea glittering beyond. 3.5s HARD CUT 3.5s to 6.5s — Tracking close two-shot: she rests her chin almost on his shoulder and says something teasing into his ear — lips moving without audible words; he barks a laugh, shaking his head, cap holding snug; she grins wide against the wind, bangs whipping, eyes squinting happily. 6.5s INSERT CUT 6.5s to 8.5s — Tight insert: her hands clasped over his stomach, fingers laced, giving a little squeeze as the scooter sways through a bend; the mint body flexes light reflections, the road surface streams underneath in soft blur. 8.5s HARD CUT 8.5s to 12.0s — Wide past the orange convex mirror: the tiny reflection of the scooter slides across the round mirror in the foreground a beat before the real scooter enters and crosses the frame, unhurried, the two of them small against the vast bright sea; she tips her head back and laughs into the wind as they recede along the coast; the engine putter fades. PHYSICS The scooter carries real combined weight: soft suspension compression over road seams, a gentle lean into each bend with both bodies tilting as one, slight throttle sway she counterbalances by gripping tighter; engine vibration trembles through their sleeves; wind at riding speed streams her hair, his tee and her skirt hem backward continuously with fabric flutter; the sea wind adds gusts; the convex mirror reflection tracks their motion with true optics. LIGHTING Bright seaside daylight only — no artificial light. Aged film print look: the sky and the glittering sea bloom into a soft white-gold haze with visible halation rings, gentle glow hanging in the air, creamy highlights rolling off softly. Faded pastel grade of an old print: lifted milky blacks, warm ivory and honey tones over softened sea blues, the mint scooter body reading as a gentle washed pastel green, the orange mirror and yellow-black signs as warm muted accents — never oversaturated; slightly yellowed whites, low contrast, colors gently washed as if the print has aged for twenty years, heavy visible film grain crawling in every frame, delicate haze. Exposure stays natural across the frame — no added vignette, no darkened edges or corners. The whole image reads as an old 2000s Japanese film discovered on a dusty reel. No crisp modern digital look, no cool color cast. AUDIO SFX only, with the worn texture of an old optical soundtrack — slightly muffled, faint constant hiss: the soft putter of the small scooter engine rising and fading with the throttle, wind buffeting past, waves breaking below the road, gull cries, her bright laugh snatched by the wind, the faint tick of the engine at the far end. No music, no intelligible spoken words, no captions, no score. POSITIVE LOCKS Identities lock 100% to >> and >> in every segment — same outfits as their references throughout, her natural 165 cm and his 178 cm with true relative proportions, his cap staying backwards and snug at riding speed in every shot. >> drives in every segment; >> rides pillion with her arms around his waist from first frame to last, hands unclasping never. The scooter stays 100% >> — mint-green body, brown saddle, chrome mirrors — in every shot. Road geography stays consistent with >> across all cuts: downhill curve, crossing signs, embankments, orange mirror on the right shoulder, sea always beyond the road; travel direction constant toward screen-left. Handheld breathing holds in every single segment, and the aged-film texture holds identically throughout: grain, gate weave, flicker, dust, halation and faded grade never weaken, frame stays vignette-free with even corner brightness; no segment turns rigid, stabilized, sharp or digitally clean. Only these two people appear; the road stays otherwise empty, no cars, no train.
0:15

Seedance 2.0 on Higgsfield AI delivers some of the best camera motion, consistency, and creative control I've seen in AI video generation. Full Open-sourced prompts & assets below: SCENE CONTEXT A bright summer afternoon on the coastal road: the young man drives the mint scooter down toward the sea with the young woman riding behind him, arms around his waist — an easy, happy ride past the railway crossing along the water. ACTIVE REFERENCES >> — young woman, 20 years old, 165 cm tall, slender, straight dark brown hair with side-swept bangs pinned by a small black clip, freckles across her cheeks and nose. 100% matches the reference. >> — young man, 22 years old, 178 cm tall, lean, sun-tanned, messy dark hair under a tan baseball cap worn backwards. 100% matches the reference. >> — vehicle: vintage mint-green scooter with a brown leather saddle, chrome mirrors and silver wheels. 100% matches the reference. >> — location: coastal road curving downhill past a railway crossing with yellow-and-black crossbuck signs, utility poles and wires, stone embankment walls, an orange convex traffic mirror on a pole, the open sea with white-capped waves behind. LOCATION MAP The road from >> curves downhill through the midground toward the railway crossing, the sea filling the background beyond it. Stone embankments rise on both sides, the orange convex mirror stands on the right shoulder in the near foreground, utility poles line the curve. Their path: down the curve, past the crossing, along the water toward screen-left. Primary light: bright seaside daylight, sun high, wind off the sea. FIRST FRAME AND SPATIAL BLOCKING The first visible frame already contains >> rolling down the curve with both riders aboard — >> driving, hands on the grips, >> seated close behind him, arms wrapped around his waist, her head just above his shoulder, a full head shorter than him. No empty establishing frame, no delayed reveal. He drives in every segment; she is always the passenger. FORMAT MODE Controlled four-segment multi-shot sequence: one INSERT CUT and two HARD CUTS. Real-time motion at an easy unhurried scooter pace. Every segment is shot handheld — no static shot anywhere in the sequence. OPTICS LENS LOCK SEGMENT 1 = 47° diagonal field of view, standard normal lens character, camera 12 to 15 meters at the roadside, the scooter and both riders full in frame with the crossing and sea behind, straight lines rectilinear, no fisheye. Soft vintage lens rendering: gentle edge softness, mild halation in the bright sky and sea glare, even brightness across the whole frame — no vignette, corners stay as bright as the center. This rendering applies to every segment. LENS LOCK SEGMENT 2 = 29° diagonal field of view, short telephoto character, camera 3 to 4 meters tracking alongside from a following vehicle, close two-shot of their faces and shoulders, the sea streaming soft behind them. LENS LOCK SEGMENT 3 = 29°, camera 1.5 to 2 meters, tight insert on her hands clasped at his stomach, the mint body and brown saddle below, road surface blurring past. LENS LOCK SEGMENT 4 = 47°, camera 10 to 12 meters behind the orange convex mirror on the right shoulder, the mirror large in the near foreground reflecting the road, the real scooter passing through the frame and receding along the sea. No drift mid-segment. CAMERA Handheld in every segment with no exceptions — a real operator at the roadside and in a following vehicle: the frame breathes with shoulder sway and soft micro-tremor visible in every second, small late reframes chasing the scooter and easing back; the tracking shot carries gentle road vibration on top of the hand movement; the insert trembles slightly more; the mirror wide breathes slower but never freezes. No tripod stillness, no gimbal smoothness, no stabilization anywhere. On top, the footage behaves like an old film print running through a projector: constant subtle gate weave, faint exposure flicker, occasional tiny dust specks and hairline scratches, image soft and slightly diffused like an aged 16mm print — never sharp, never digitally clean, no vignette or darkened corners at any moment. ACTION TIMING 0.0s to 3.5s — Roadside wide: the mint scooter putters down the curve at an easy pace, leaning gently with the bend; >> relaxed at the grips, >> pressed close behind him, her hair and skirt hem streaming in the sea wind; they pass the yellow-and-black crossing signs with the white-capped sea glittering beyond. 3.5s HARD CUT 3.5s to 6.5s — Tracking close two-shot: she rests her chin almost on his shoulder and says something teasing into his ear — lips moving without audible words; he barks a laugh, shaking his head, cap holding snug; she grins wide against the wind, bangs whipping, eyes squinting happily. 6.5s INSERT CUT 6.5s to 8.5s — Tight insert: her hands clasped over his stomach, fingers laced, giving a little squeeze as the scooter sways through a bend; the mint body flexes light reflections, the road surface streams underneath in soft blur. 8.5s HARD CUT 8.5s to 12.0s — Wide past the orange convex mirror: the tiny reflection of the scooter slides across the round mirror in the foreground a beat before the real scooter enters and crosses the frame, unhurried, the two of them small against the vast bright sea; she tips her head back and laughs into the wind as they recede along the coast; the engine putter fades. PHYSICS The scooter carries real combined weight: soft suspension compression over road seams, a gentle lean into each bend with both bodies tilting as one, slight throttle sway she counterbalances by gripping tighter; engine vibration trembles through their sleeves; wind at riding speed streams her hair, his tee and her skirt hem backward continuously with fabric flutter; the sea wind adds gusts; the convex mirror reflection tracks their motion with true optics. LIGHTING Bright seaside daylight only — no artificial light. Aged film print look: the sky and the glittering sea bloom into a soft white-gold haze with visible halation rings, gentle glow hanging in the air, creamy highlights rolling off softly. Faded pastel grade of an old print: lifted milky blacks, warm ivory and honey tones over softened sea blues, the mint scooter body reading as a gentle washed pastel green, the orange mirror and yellow-black signs as warm muted accents — never oversaturated; slightly yellowed whites, low contrast, colors gently washed as if the print has aged for twenty years, heavy visible film grain crawling in every frame, delicate haze. Exposure stays natural across the frame — no added vignette, no darkened edges or corners. The whole image reads as an old 2000s Japanese film discovered on a dusty reel. No crisp modern digital look, no cool color cast. AUDIO SFX only, with the worn texture of an old optical soundtrack — slightly muffled, faint constant hiss: the soft putter of the small scooter engine rising and fading with the throttle, wind buffeting past, waves breaking below the road, gull cries, her bright laugh snatched by the wind, the faint tick of the engine at the far end. No music, no intelligible spoken words, no captions, no score. POSITIVE LOCKS Identities lock 100% to >> and >> in every segment — same outfits as their references throughout, her natural 165 cm and his 178 cm with true relative proportions, his cap staying backwards and snug at riding speed in every shot. >> drives in every segment; >> rides pillion with her arms around his waist from first frame to last, hands unclasping never. The scooter stays 100% >> — mint-green body, brown saddle, chrome mirrors — in every shot. Road geography stays consistent with >> across all cuts: downhill curve, crossing signs, embankments, orange mirror on the right shoulder, sea always beyond the road; travel direction constant toward screen-left. Handheld breathing holds in every single segment, and the aged-film texture holds identically throughout: grain, gate weave, flicker, dust, halation and faded grade never weaken, frame stays vignette-free with even corner brightness; no segment turns rigid, stabilized, sharp or digitally clean. Only these two people appear; the road stays otherwise empty, no cars, no train.

WasifAI

16,263 views • 19 days ago

Seedance 2.0 creation on Higgsfield AI 🧩 Prompt: scene context A bright summer afternoon on the coastal road: the young man drives the mint scooter down toward the sea with the young woman riding behind him, arms around his waist — an easy, happy ride past the railway crossing along the water. ACTIVE REFERENCES >> — young woman, 20 years old, 165 cm tall, slender, straight dark brown hair with side-swept bangs pinned by a small black clip, freckles across her cheeks and nose. 100% matches the reference. >> — young man, 22 years old, 178 cm tall, lean, sun-tanned, messy dark hair under a tan baseball cap worn backwards. 100% matches the reference. >> — vehicle: vintage mint-green scooter with a brown leather saddle, chrome mirrors and silver wheels. 100% matches the reference. >> — location: coastal road curving downhill past a railway crossing with yellow-and-black crossbuck signs, utility poles and wires, stone embankment walls, an orange convex traffic mirror on a pole, the open sea with white-capped waves behind. LOCATION MAP The road from >> curves downhill through the midground toward the railway crossing, the sea filling the background beyond it. Stone embankments rise on both sides, the orange convex mirror stands on the right shoulder in the near foreground, utility poles line the curve. Their path: down the curve, past the crossing, along the water toward screen-left. Primary light: bright seaside daylight, sun high, wind off the sea. FIRST FRAME AND SPATIAL BLOCKING The first visible frame already contains >> rolling down the curve with both riders aboard — >> driving, hands on the grips, >> seated close behind him, arms wrapped around his waist, her head just above his shoulder, a full head shorter than him. No empty establishing frame, no delayed reveal. He drives in every segment; she is always the passenger. FORMAT MODE Controlled four-segment multi-shot sequence: one INSERT CUT and two HARD CUTS. Real-time motion at an easy unhurried scooter pace. Every segment is shot handheld — no static shot anywhere in the sequence. OPTICS LENS LOCK SEGMENT 1 = 47° diagonal field of view, standard normal lens character, camera 12 to 15 meters at the roadside, the scooter and both riders full in frame with the crossing and sea behind, straight lines rectilinear, no fisheye. Soft vintage lens rendering: gentle edge softness, mild halation in the bright sky and sea glare, even brightness across the whole frame — no vignette, corners stay as bright as the center. This rendering applies to every segment. LENS LOCK SEGMENT 2 = 29° diagonal field of view, short telephoto character, camera 3 to 4 meters tracking alongside from a following vehicle, close two-shot of their faces and shoulders, the sea streaming soft behind them. LENS LOCK SEGMENT 3 = 29°, camera 1.5 to 2 meters, tight insert on her hands clasped at his stomach, the mint body and brown saddle below, road surface blurring past. LENS LOCK SEGMENT 4 = 47°, camera 10 to 12 meters behind the orange convex mirror on the right shoulder, the mirror large in the near foreground reflecting the road, the real scooter passing through the frame and receding along the sea. No drift mid-segment. CAMERA Handheld in every segment with no exceptions — a real operator at the roadside and in a following vehicle: the frame breathes with shoulder sway and soft micro-tremor visible in every second, small late reframes chasing the scooter and easing back; the tracking shot carries gentle road vibration on top of the hand movement; the insert trembles slightly more; the mirror wide breathes slower but never freezes. No tripod stillness, no gimbal smoothness, no stabilization anywhere. On top, the footage behaves like an old film print running through a projector: constant subtle gate weave, faint exposure flicker, occasional tiny dust specks and hairline scratches, image soft and slightly diffused like an aged 16mm print — never sharp, never digitally clean, no vignette or darkened corners at any moment. ACTION TIMING 0.0s to 3.5s — Roadside wide: the mint scooter putters down the curve at an easy pace, leaning gently with the bend; >> relaxed at the grips, >> pressed close behind him, her hair and skirt hem streaming in the sea wind; they pass the yellow-and-black crossing signs with the white-capped sea glittering beyond. 3.5s HARD CUT 3.5s to 6.5s — Tracking close two-shot: she rests her chin almost on his shoulder and says something teasing into his ear — lips moving without audible words; he barks a laugh, shaking his head, cap holding snug; she grins wide against the wind, bangs whipping, eyes squinting happily. 6.5s INSERT CUT 6.5s to 8.5s — Tight insert: her hands clasped over his stomach, fingers laced, giving a little squeeze as the scooter sways through a bend; the mint body flexes light reflections, the road surface streams underneath in soft blur. 8.5s HARD CUT 8.5s to 12.0s — Wide past the orange convex mirror: the tiny reflection of the scooter slides across the round mirror in the foreground a beat before the real scooter enters and crosses the frame, unhurried, the two of them small against the vast bright sea; she tips her head back and laughs into the wind as they recede along the coast; the engine putter fades. PHYSICS The scooter carries real combined weight: soft suspension compression over road seams, a gentle lean into each bend with both bodies tilting as one, slight throttle sway she counterbalances by gripping tighter; engine vibration trembles through their sleeves; wind at riding speed streams her hair, his tee and her skirt hem backward continuously with fabric flutter; the sea wind adds gusts; the convex mirror reflection tracks their motion with true optics. LIGHTING Bright seaside daylight only — no artificial light. Aged film print look: the sky and the glittering sea bloom into a soft white-gold haze with visible halation rings, gentle glow hanging in the air, creamy highlights rolling off softly. Faded pastel grade of an old print: lifted milky blacks, warm ivory and honey tones over softened sea blues, the mint scooter body reading as a gentle washed pastel green, the orange mirror and yellow-black signs as warm muted accents — never oversaturated; slightly yellowed whites, low contrast, colors gently washed as if the print has aged for twenty years, heavy visible film grain crawling in every frame, delicate haze. Exposure stays natural across the frame — no added vignette, no darkened edges or corners. The whole image reads as an old 2000s Japanese film discovered on a dusty reel. No crisp modern digital look, no cool color cast. AUDIO SFX only, with the worn texture of an old optical soundtrack — slightly muffled, faint constant hiss: the soft putter of the small scooter engine rising and fading with the throttle, wind buffeting past, waves breaking below the road, gull cries, her bright laugh snatched by the wind, the faint tick of the engine at the far end. No music, no intelligible spoken words, no captions, no score. POSITIVE LOCKS Identities lock 100% to >> and >> in every segment — same outfits as their references throughout, her natural 165 cm and his 178 cm with true relative proportions, his cap staying backwards and snug at riding speed in every shot. >> drives in every segment; >> rides pillion with her arms around his waist from first frame to last, hands unclasping never. The scooter stays 100% >> — mint-green body, brown saddle, chrome mirrors — in every shot. Road geography stays consistent with >> across all cuts: downhill curve, crossing signs, embankments, orange mirror on the right shoulder, sea always beyond the road; travel direction constant toward screen-left. Handheld breathing holds in every single segment, and the aged-film texture holds identically throughout: grain, gate weave, flicker, dust, halation and faded grade never weaken, frame stays vignette-free with even corner brightness; no segment turns rigid, stabilized, sharp or digitally clean. Only these two people appear; the road stays otherwise empty, no cars, no train.
0:15

Seedance 2.0 creation on Higgsfield AI 🧩 Prompt: scene context A bright summer afternoon on the coastal road: the young man drives the mint scooter down toward the sea with the young woman riding behind him, arms around his waist — an easy, happy ride past the railway crossing along the water. ACTIVE REFERENCES >> — young woman, 20 years old, 165 cm tall, slender, straight dark brown hair with side-swept bangs pinned by a small black clip, freckles across her cheeks and nose. 100% matches the reference. >> — young man, 22 years old, 178 cm tall, lean, sun-tanned, messy dark hair under a tan baseball cap worn backwards. 100% matches the reference. >> — vehicle: vintage mint-green scooter with a brown leather saddle, chrome mirrors and silver wheels. 100% matches the reference. >> — location: coastal road curving downhill past a railway crossing with yellow-and-black crossbuck signs, utility poles and wires, stone embankment walls, an orange convex traffic mirror on a pole, the open sea with white-capped waves behind. LOCATION MAP The road from >> curves downhill through the midground toward the railway crossing, the sea filling the background beyond it. Stone embankments rise on both sides, the orange convex mirror stands on the right shoulder in the near foreground, utility poles line the curve. Their path: down the curve, past the crossing, along the water toward screen-left. Primary light: bright seaside daylight, sun high, wind off the sea. FIRST FRAME AND SPATIAL BLOCKING The first visible frame already contains >> rolling down the curve with both riders aboard — >> driving, hands on the grips, >> seated close behind him, arms wrapped around his waist, her head just above his shoulder, a full head shorter than him. No empty establishing frame, no delayed reveal. He drives in every segment; she is always the passenger. FORMAT MODE Controlled four-segment multi-shot sequence: one INSERT CUT and two HARD CUTS. Real-time motion at an easy unhurried scooter pace. Every segment is shot handheld — no static shot anywhere in the sequence. OPTICS LENS LOCK SEGMENT 1 = 47° diagonal field of view, standard normal lens character, camera 12 to 15 meters at the roadside, the scooter and both riders full in frame with the crossing and sea behind, straight lines rectilinear, no fisheye. Soft vintage lens rendering: gentle edge softness, mild halation in the bright sky and sea glare, even brightness across the whole frame — no vignette, corners stay as bright as the center. This rendering applies to every segment. LENS LOCK SEGMENT 2 = 29° diagonal field of view, short telephoto character, camera 3 to 4 meters tracking alongside from a following vehicle, close two-shot of their faces and shoulders, the sea streaming soft behind them. LENS LOCK SEGMENT 3 = 29°, camera 1.5 to 2 meters, tight insert on her hands clasped at his stomach, the mint body and brown saddle below, road surface blurring past. LENS LOCK SEGMENT 4 = 47°, camera 10 to 12 meters behind the orange convex mirror on the right shoulder, the mirror large in the near foreground reflecting the road, the real scooter passing through the frame and receding along the sea. No drift mid-segment. CAMERA Handheld in every segment with no exceptions — a real operator at the roadside and in a following vehicle: the frame breathes with shoulder sway and soft micro-tremor visible in every second, small late reframes chasing the scooter and easing back; the tracking shot carries gentle road vibration on top of the hand movement; the insert trembles slightly more; the mirror wide breathes slower but never freezes. No tripod stillness, no gimbal smoothness, no stabilization anywhere. On top, the footage behaves like an old film print running through a projector: constant subtle gate weave, faint exposure flicker, occasional tiny dust specks and hairline scratches, image soft and slightly diffused like an aged 16mm print — never sharp, never digitally clean, no vignette or darkened corners at any moment. ACTION TIMING 0.0s to 3.5s — Roadside wide: the mint scooter putters down the curve at an easy pace, leaning gently with the bend; >> relaxed at the grips, >> pressed close behind him, her hair and skirt hem streaming in the sea wind; they pass the yellow-and-black crossing signs with the white-capped sea glittering beyond. 3.5s HARD CUT 3.5s to 6.5s — Tracking close two-shot: she rests her chin almost on his shoulder and says something teasing into his ear — lips moving without audible words; he barks a laugh, shaking his head, cap holding snug; she grins wide against the wind, bangs whipping, eyes squinting happily. 6.5s INSERT CUT 6.5s to 8.5s — Tight insert: her hands clasped over his stomach, fingers laced, giving a little squeeze as the scooter sways through a bend; the mint body flexes light reflections, the road surface streams underneath in soft blur. 8.5s HARD CUT 8.5s to 12.0s — Wide past the orange convex mirror: the tiny reflection of the scooter slides across the round mirror in the foreground a beat before the real scooter enters and crosses the frame, unhurried, the two of them small against the vast bright sea; she tips her head back and laughs into the wind as they recede along the coast; the engine putter fades. PHYSICS The scooter carries real combined weight: soft suspension compression over road seams, a gentle lean into each bend with both bodies tilting as one, slight throttle sway she counterbalances by gripping tighter; engine vibration trembles through their sleeves; wind at riding speed streams her hair, his tee and her skirt hem backward continuously with fabric flutter; the sea wind adds gusts; the convex mirror reflection tracks their motion with true optics. LIGHTING Bright seaside daylight only — no artificial light. Aged film print look: the sky and the glittering sea bloom into a soft white-gold haze with visible halation rings, gentle glow hanging in the air, creamy highlights rolling off softly. Faded pastel grade of an old print: lifted milky blacks, warm ivory and honey tones over softened sea blues, the mint scooter body reading as a gentle washed pastel green, the orange mirror and yellow-black signs as warm muted accents — never oversaturated; slightly yellowed whites, low contrast, colors gently washed as if the print has aged for twenty years, heavy visible film grain crawling in every frame, delicate haze. Exposure stays natural across the frame — no added vignette, no darkened edges or corners. The whole image reads as an old 2000s Japanese film discovered on a dusty reel. No crisp modern digital look, no cool color cast. AUDIO SFX only, with the worn texture of an old optical soundtrack — slightly muffled, faint constant hiss: the soft putter of the small scooter engine rising and fading with the throttle, wind buffeting past, waves breaking below the road, gull cries, her bright laugh snatched by the wind, the faint tick of the engine at the far end. No music, no intelligible spoken words, no captions, no score. POSITIVE LOCKS Identities lock 100% to >> and >> in every segment — same outfits as their references throughout, her natural 165 cm and his 178 cm with true relative proportions, his cap staying backwards and snug at riding speed in every shot. >> drives in every segment; >> rides pillion with her arms around his waist from first frame to last, hands unclasping never. The scooter stays 100% >> — mint-green body, brown saddle, chrome mirrors — in every shot. Road geography stays consistent with >> across all cuts: downhill curve, crossing signs, embankments, orange mirror on the right shoulder, sea always beyond the road; travel direction constant toward screen-left. Handheld breathing holds in every single segment, and the aged-film texture holds identically throughout: grain, gate weave, flicker, dust, halation and faded grade never weaken, frame stays vignette-free with even corner brightness; no segment turns rigid, stabilized, sharp or digitally clean. Only these two people appear; the road stays otherwise empty, no cars, no train.

Shahid Wani

14,145 views • 12 days ago