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Introducing NotAnArtist by Ifxscript Supply: 456 Chain: Ethereum Launchpad: OpenSea Results aren’t random. They’re the product of motion.. and motion is engineered. It begins with simple rules, individual components, and small interactions. On their own, they seem insignificant. Together, they form systems. The systems create motion. Motion produces outcomes....

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ifxscript🧸▣

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58,524 просмотров • 27 дней назад •via X (Twitter)

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Anyone telling you AI can one-prompt motion videos is bullshitting you Here's what it really takes to produce this kind of work: - Ideation: we have multiple people with years of editing and animation experience come up with ideas, pacing etc - Design: each animation gets designed by multiple professional product designers - Production: absolutely goated motion designers work together on it & art director is making sure that everything is hitting the quality standard One-prompt this, sure
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Anyone telling you AI can one-prompt motion videos is bullshitting you Here's what it really takes to produce this kind of work: - Ideation: we have multiple people with years of editing and animation experience come up with ideas, pacing etc - Design: each animation gets designed by multiple professional product designers - Production: absolutely goated motion designers work together on it & art director is making sure that everything is hitting the quality standard One-prompt this, sure

leo

33,933 просмотров • 1 месяц назад

Our team have been working non-stop over the last six months to develop the most extraordinary product we have ever launched. On April 8th, Move launched the highest quality markerless motion capture technology ever seen in the industry. It delivers optical quality data, runs on standardised cameras and processes fully on premise with Nvidia GPUs. It has been designed, developed and engineered by Move alongside the world's leading video games companies. Below is one of series of direct benchmarking tests we have done against market leading optical systems. This is the moment where markerless finally and properly takes on Optical systems. We cannot wait for you to try it! Want to become one of the first beta testers of our new flagship enterprise product? Visit our website at Credit: Comparative Motion Capture Benchmark led by IJAD Dance Company, in collaboration with Dr Richard Ramchurn on behalf of the Virtual and Immersive Production Studio #markerlessmotioncaoture #motioncapture
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Our team have been working non-stop over the last six months to develop the most extraordinary product we have ever launched. On April 8th, Move launched the highest quality markerless motion capture technology ever seen in the industry. It delivers optical quality data, runs on standardised cameras and processes fully on premise with Nvidia GPUs. It has been designed, developed and engineered by Move alongside the world's leading video games companies. Below is one of series of direct benchmarking tests we have done against market leading optical systems. This is the moment where markerless finally and properly takes on Optical systems. We cannot wait for you to try it! Want to become one of the first beta testers of our new flagship enterprise product? Visit our website at Credit: Comparative Motion Capture Benchmark led by IJAD Dance Company, in collaboration with Dr Richard Ramchurn on behalf of the Virtual and Immersive Production Studio #markerlessmotioncaoture #motioncapture

Move AI

12,722 просмотров • 3 месяцев назад

I believe that StoryDiffusion has the potential to be Animatediff's complex motion sister-model! While AD is amazing for granular control, micro-motion and all kinds of abstract motion, it fails at complex realistic motion - walking, human movements, cars, etc. StoryDiffusion seems very promising for this + also has characteristics that will likely make the community very receptive to it and likely to extend its capabilities: 2) Appealing base-model results - likely to get the community excited - feels like significantly better realistic motion than AD 2) Modular - their approach is built with a number of components that can be combined and taken apart - it works by generating consistent images, then animating them together - each of these stages can likely be upgraded, used and influenced in different ways. 3) Flexible - they demonstrate a bunch of different conditioning options 4) Likely easy on RAM - it's based on SD 1.5 + authors mention precautions to reduce RAM consumption 5) Built to plug into the existing ecosystem - e.g. the fact that it works with the SD1.5 ecosystem will give it a huge advantage! While it's very early to say - e.g. the video model hasn't even been released yet! - it does seem very promising. With 9 months of SD1.5/Animatediff-esque progress improving every element of it, I can see an an extremely extended version of this beating Sora + running for a fraction of the compute resources on a consumer GPU. Together with Animatediff to drive the micro-motions and abstract stuff, it could produce be extraordinary/otherworldly/insane/beautiful stuff. This is the first open video model I've been excited about since Animatediff - though cautiously optimistic! Link here:
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I believe that StoryDiffusion has the potential to be Animatediff's complex motion sister-model! While AD is amazing for granular control, micro-motion and all kinds of abstract motion, it fails at complex realistic motion - walking, human movements, cars, etc. StoryDiffusion seems very promising for this + also has characteristics that will likely make the community very receptive to it and likely to extend its capabilities: 2) Appealing base-model results - likely to get the community excited - feels like significantly better realistic motion than AD 2) Modular - their approach is built with a number of components that can be combined and taken apart - it works by generating consistent images, then animating them together - each of these stages can likely be upgraded, used and influenced in different ways. 3) Flexible - they demonstrate a bunch of different conditioning options 4) Likely easy on RAM - it's based on SD 1.5 + authors mention precautions to reduce RAM consumption 5) Built to plug into the existing ecosystem - e.g. the fact that it works with the SD1.5 ecosystem will give it a huge advantage! While it's very early to say - e.g. the video model hasn't even been released yet! - it does seem very promising. With 9 months of SD1.5/Animatediff-esque progress improving every element of it, I can see an an extremely extended version of this beating Sora + running for a fraction of the compute resources on a consumer GPU. Together with Animatediff to drive the micro-motions and abstract stuff, it could produce be extraordinary/otherworldly/insane/beautiful stuff. This is the first open video model I've been excited about since Animatediff - though cautiously optimistic! Link here:

POM

22,141 просмотров • 2 лет назад

🇨🇳 Another great Chinese Model, OmniHuman-1.5 from ByteDance Turns 1 image plus a voice track into expressive avatar video by pairing a System 1 and System 2 inspired planner with a Diffusion Transformer, Produces coherent motion for over 1 minute with moving camera and multi character scenes. Most avatar models move to the beat of the audio but miss meaning, so gestures feel generic and emotions feel shallow. The fix here is a Multimodal LLM planner that listens to the speech and drafts a structured plan describing intent, emotions, beats, and high level actions, which gives the motion engine clear semantic targets instead of only rhythm. The motion engine is a Multimodal Diffusion Transformer that fuses the plan with audio, the single reference image, and optional text prompts, then synthesizes continuous body, face, and head motion that matches both words and tone. A key trick is a Pseudo Last Frame, a synthetic target that summarizes the next expected state, which stabilizes fusion across modalities and keeps motion consistent over long spans. From just 1 image and speech, the system outputs speaking avatars with synchronized lips, context aware gestures, and continuous camera movement, and it also supports multi character interactions without manual choreography. Reported results show strong lip sync accuracy, high video quality, natural motion, and close match to text prompts, and the same setup works on nonhuman characters too.
0:18

🇨🇳 Another great Chinese Model, OmniHuman-1.5 from ByteDance Turns 1 image plus a voice track into expressive avatar video by pairing a System 1 and System 2 inspired planner with a Diffusion Transformer, Produces coherent motion for over 1 minute with moving camera and multi character scenes. Most avatar models move to the beat of the audio but miss meaning, so gestures feel generic and emotions feel shallow. The fix here is a Multimodal LLM planner that listens to the speech and drafts a structured plan describing intent, emotions, beats, and high level actions, which gives the motion engine clear semantic targets instead of only rhythm. The motion engine is a Multimodal Diffusion Transformer that fuses the plan with audio, the single reference image, and optional text prompts, then synthesizes continuous body, face, and head motion that matches both words and tone. A key trick is a Pseudo Last Frame, a synthetic target that summarizes the next expected state, which stabilizes fusion across modalities and keeps motion consistent over long spans. From just 1 image and speech, the system outputs speaking avatars with synchronized lips, context aware gestures, and continuous camera movement, and it also supports multi character interactions without manual choreography. Reported results show strong lip sync accuracy, high video quality, natural motion, and close match to text prompts, and the same setup works on nonhuman characters too.

Rohan Paul

63,859 просмотров • 11 месяцев назад

Silencio has surpassed 1 million on-chain devices on peaq This is the live count of real contributors using their smartphones to capture and stream the physical world into digital infrastructure. Each device is opt-in, privacy-preserving, and individually rewarded in $SLC. Together, these contributors have recorded more than 10.6 million hours of real-world acoustic signal. The network spans 190 countries and has generated over 38.8 Billion environmental datapoints. All of it is live. All of it is on-chain. Silencio represents a deployed DePIN system operating at global scale. Its data is already integrated into major enterprise marketplaces. Its token economy is active, deflationary, and fully aligned with participation. This milestone is not just about numbers. It is about trust, coordination, and measurable impact. It proves that decentralized networks can scale without compromising on quality, compliance, or utility. Built on peaq. Secured by $SLC and the Blocksound Foundation. Powered by people. This is not the future of data infrastructure. It is already in motion.
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Silencio has surpassed 1 million on-chain devices on peaq This is the live count of real contributors using their smartphones to capture and stream the physical world into digital infrastructure. Each device is opt-in, privacy-preserving, and individually rewarded in $SLC. Together, these contributors have recorded more than 10.6 million hours of real-world acoustic signal. The network spans 190 countries and has generated over 38.8 Billion environmental datapoints. All of it is live. All of it is on-chain. Silencio represents a deployed DePIN system operating at global scale. Its data is already integrated into major enterprise marketplaces. Its token economy is active, deflationary, and fully aligned with participation. This milestone is not just about numbers. It is about trust, coordination, and measurable impact. It proves that decentralized networks can scale without compromising on quality, compliance, or utility. Built on peaq. Secured by $SLC and the Blocksound Foundation. Powered by people. This is not the future of data infrastructure. It is already in motion.

Silencio | Voice Data for AI

22,863 просмотров • 1 год назад

Gemini Omni's motion control is f*cking cracked i just figured out how to turn 1 reference video into 50+ AI videos with the exact same movements... you have a video of someone eating, dancing, using a product, doing whatever complex motion you need. you feed it to Gemini Omni and it recreates that exact motion with a completely new AI character in literally one prompt i've tested this against Kling motion control and it's not even close. Kling falls apart the moment you try anything complex. eating scenes look weird, hand movements get mangled, anything multi-step breaks down completely. Gemini Omni handles all of it if you're still using kling motion control or paying creators to split test your videos, this replaces that entire workflow here's the thing though. you can't just prompt this out of the box. if you try to do motion transfer with default prompting you're going to get errors or the motion won't transfer properly. there's a specific prompting method that makes it work every time so i packaged up the whole system.. here's what you're getting: > full step by step video breakdown > how to find the best reference videos to use > the exact prompting system that allows for motion control transfer so you never get errors > the workflow for batching this out at scale (1 video → 50+) RT + reply "MOTION" and i'll send it over (must follow so i can dm)
0:13

Gemini Omni's motion control is f*cking cracked i just figured out how to turn 1 reference video into 50+ AI videos with the exact same movements... you have a video of someone eating, dancing, using a product, doing whatever complex motion you need. you feed it to Gemini Omni and it recreates that exact motion with a completely new AI character in literally one prompt i've tested this against Kling motion control and it's not even close. Kling falls apart the moment you try anything complex. eating scenes look weird, hand movements get mangled, anything multi-step breaks down completely. Gemini Omni handles all of it if you're still using kling motion control or paying creators to split test your videos, this replaces that entire workflow here's the thing though. you can't just prompt this out of the box. if you try to do motion transfer with default prompting you're going to get errors or the motion won't transfer properly. there's a specific prompting method that makes it work every time so i packaged up the whole system.. here's what you're getting: > full step by step video breakdown > how to find the best reference videos to use > the exact prompting system that allows for motion control transfer so you never get errors > the workflow for batching this out at scale (1 video → 50+) RT + reply "MOTION" and i'll send it over (must follow so i can dm)

Miko

59,125 просмотров • 1 месяц назад

I tried Hailuo AI (MiniMax) to see how it handles real content creation. The workflow is simple. You just write a prompt or drop in an image, and it turns that into a dynamic video with motion, framing, and scene depth. No timeline to manage. No editing setup. No back and forth. What stood out to me: • Text to video and image to video both feel smooth. • It handles motion, camera angles, and flow on its own. • Output is fast, usually within seconds. • Works well for reels, quick ads, storytelling, and idea testing. It removes the hardest part: starting from scratch and turns your ideas into content in minutes. Instead of thinking, “How do I make this video?” You start with, “What do I want to create?” That shift alone makes it worth exploring. Try it here: #Hailuo
0:10

I tried Hailuo AI (MiniMax) to see how it handles real content creation. The workflow is simple. You just write a prompt or drop in an image, and it turns that into a dynamic video with motion, framing, and scene depth. No timeline to manage. No editing setup. No back and forth. What stood out to me: • Text to video and image to video both feel smooth. • It handles motion, camera angles, and flow on its own. • Output is fast, usually within seconds. • Works well for reels, quick ads, storytelling, and idea testing. It removes the hardest part: starting from scratch and turns your ideas into content in minutes. Instead of thinking, “How do I make this video?” You start with, “What do I want to create?” That shift alone makes it worth exploring. Try it here: #Hailuo

Manish Kumar Shah

27,662 просмотров • 4 месяцев назад

Ice cream shop working whistleblowing on DoorDash He shows that their system says the driver is “waiting for order” He moves the camera and show there is nowhere there or anywhere close by This is why why you order DoorDash it sometimes appears the driver is at the location forever, and you’re wondering what the heck is going on It’s a lie. The system just says they are there when they aren’t This is why food likely comes cold when it’s supposed to be hot or not cold when it’s supposed to by cold
0:17

Ice cream shop working whistleblowing on DoorDash He shows that their system says the driver is “waiting for order” He moves the camera and show there is nowhere there or anywhere close by This is why why you order DoorDash it sometimes appears the driver is at the location forever, and you’re wondering what the heck is going on It’s a lie. The system just says they are there when they aren’t This is why food likely comes cold when it’s supposed to be hot or not cold when it’s supposed to by cold

Wall Street Apes

870,600 просмотров • 2 месяцев назад

Have you ever heard of the three-body problem? This video explains a really fascinating and complex concept in a simple way! Here's the idea: When two stars orbit each other, their motion is very orderly and predictable. But when a third star enters the picture, everything falls apart! The gravity of each star affects the other two, creating a completely chaotic and unpredictable cosmic dance. It's like three people trying to dance together with no rules, constantly bumping into each other! No one can say exactly what their next move will be.
0:16

Have you ever heard of the three-body problem? This video explains a really fascinating and complex concept in a simple way! Here's the idea: When two stars orbit each other, their motion is very orderly and predictable. But when a third star enters the picture, everything falls apart! The gravity of each star affects the other two, creating a completely chaotic and unpredictable cosmic dance. It's like three people trying to dance together with no rules, constantly bumping into each other! No one can say exactly what their next move will be.

Kekius Maximus

41,995 просмотров • 7 месяцев назад

April 30 • 12:00pm ET Art Blocks + OpenSea “Gift of time” began during my residency in Marfa, Texas, as part of the Art Blocks and OpenSea artist residency program, where a distinct shift in the experience of time became central to the work. In the desert, I felt time move differently. It stretched, slowed, and became something I noticed. After a few days, the rhythm changed. Moments felt longer, attention sharpened, and I became increasingly aware of each moment as it passed. This work comes from that condition. Time is not treated only as a theme, but as a system embedded in the structure of the piece. Different ways of measuring time, such as mechanical cycles, calendars, and lunar phases, are translated into rules that continuously transform the work. The piece does not represent time. It runs on it. Its movement is tied to blockchain time. Even when unseen, it continues to rotate and evolve. When loaded, it synchronizes with the present moment, but it does not begin when it is viewed, and it does not stop when it disappears from the screen. During the residency, I spent hours thinking, sketching, and making connections. Those connections are also visible. Elastic lines, like rubber bands, link elements across the piece, representing how memories connect, how one thought leads to another, and how everything builds over time. These same connections introduce moments where the system attempts to pull itself back, as if trying to regain control. But it never fully resets. It is not a loop. The movement continues, drifting forward, never returning to a fixed state. Visually, the work reveals its own construction. Lines, paths, and rotations expose an internal logic, like looking inside a mechanism. The drawing language recalls diagrams, technical sketches, or the interior of a mechanical watch. It is a system in motion, always active. “Gift of Time” exists because I was given time by Art Blocks, OpenSea, and above all my family. It is my way of saying thank you. It is both a reflection on time and a product of it. April 30 @ 12:00pm ET on Art blocks & OpenSea 1 / 1 / 365 • 0.02 Eth Art Blocks, OpenSea
0:18

April 30 • 12:00pm ET Art Blocks + OpenSea “Gift of time” began during my residency in Marfa, Texas, as part of the Art Blocks and OpenSea artist residency program, where a distinct shift in the experience of time became central to the work. In the desert, I felt time move differently. It stretched, slowed, and became something I noticed. After a few days, the rhythm changed. Moments felt longer, attention sharpened, and I became increasingly aware of each moment as it passed. This work comes from that condition. Time is not treated only as a theme, but as a system embedded in the structure of the piece. Different ways of measuring time, such as mechanical cycles, calendars, and lunar phases, are translated into rules that continuously transform the work. The piece does not represent time. It runs on it. Its movement is tied to blockchain time. Even when unseen, it continues to rotate and evolve. When loaded, it synchronizes with the present moment, but it does not begin when it is viewed, and it does not stop when it disappears from the screen. During the residency, I spent hours thinking, sketching, and making connections. Those connections are also visible. Elastic lines, like rubber bands, link elements across the piece, representing how memories connect, how one thought leads to another, and how everything builds over time. These same connections introduce moments where the system attempts to pull itself back, as if trying to regain control. But it never fully resets. It is not a loop. The movement continues, drifting forward, never returning to a fixed state. Visually, the work reveals its own construction. Lines, paths, and rotations expose an internal logic, like looking inside a mechanism. The drawing language recalls diagrams, technical sketches, or the interior of a mechanical watch. It is a system in motion, always active. “Gift of Time” exists because I was given time by Art Blocks, OpenSea, and above all my family. It is my way of saying thank you. It is both a reflection on time and a product of it. April 30 @ 12:00pm ET on Art blocks & OpenSea 1 / 1 / 365 • 0.02 Eth Art Blocks, OpenSea

Manuel Lariño ☔️

21,901 просмотров • 3 месяцев назад

We all remember. We all remember when blockchain was pitched as the next big thing. And today, we feel like we’ve been waiting and waiting. Until recently, Blockchain was too expensive, slow under load, and hard to integrate for most businesses. So enterprises ignored it. It didn’t solve their business problems. That’s changed. Why blockchain, why now? Businesses don’t care about the tech, they care about cost and performance. They’d ask a simple question “Does it save or make me more money?” For a long time, blockchain didn’t clearly do this. That’s no longer true. Blockchain is proving real business cases, especially on Avalanche. On Avalanche, transactions cost fractions of a cent. settle in about a second. And instead of forcing everything onto one shared chain, businesses can launch their own Avalanche L1s with their own rules. To understand this let’s identify the problem and then provide the solution in a way that's easy to understand. Where Businesses Lose Money Most large industries lose money due to operational inefficiencies. Data lives in different systems. Teams spend hours reconciling records that should already match. Intermediaries sit in the middle, taking fees to coordinate all of it. Individually, each step looks small. Together, they create real cost: > Labor spent on manual processes > Capital locked up during settlement delays > Fees paid to intermediaries > Risk introduced by time gaps and mismatched data This is where businesses actually lose money. Not in big, obvious ways. In constant, compounding friction. Take Private Credit, for Example Private credit is loans held outside of traditional banks. It’s a multi-trillion dollar market, and much of it still runs on spreadsheets and weekly reconciliation processes. Loan data is tracked across systems. Teams manually process requests. Funds move on traditional rails, often on delayed cycles. It doesn’t have to be this way Entire teams exist just to keep systems in sync. Now move that system onto Avalanche. Loan data updates in real time. Transactions settle in about a second. Every participant sees the same state instantly. Reconciliation isn’t a separate step because the system itself is the source of truth. The impact is straightforward. > Reduced manual work > Shortened settlement cycles > Fewer layers of coordination between parties Avalanche is Infrastructure for Real Businesses Avalanche is designed to match how businesses actually operate. Instead of sharing a single chain, they can launch their own Avalanche L1s with custom rules, built-in compliance, and predictable performance. They control the system. Avalanche’s Moment For the longest time, blockchain naysayers said this could all be done better with spreadsheets or existing systems. They were right. That’s what the technology allowed. Now it’s changed. Avalanche can replace many of those systems with real-time settlement, shared data, and automated execution. For the first time, the economics work. Built for business. 🔺
0:10

We all remember. We all remember when blockchain was pitched as the next big thing. And today, we feel like we’ve been waiting and waiting. Until recently, Blockchain was too expensive, slow under load, and hard to integrate for most businesses. So enterprises ignored it. It didn’t solve their business problems. That’s changed. Why blockchain, why now? Businesses don’t care about the tech, they care about cost and performance. They’d ask a simple question “Does it save or make me more money?” For a long time, blockchain didn’t clearly do this. That’s no longer true. Blockchain is proving real business cases, especially on Avalanche. On Avalanche, transactions cost fractions of a cent. settle in about a second. And instead of forcing everything onto one shared chain, businesses can launch their own Avalanche L1s with their own rules. To understand this let’s identify the problem and then provide the solution in a way that's easy to understand. Where Businesses Lose Money Most large industries lose money due to operational inefficiencies. Data lives in different systems. Teams spend hours reconciling records that should already match. Intermediaries sit in the middle, taking fees to coordinate all of it. Individually, each step looks small. Together, they create real cost: > Labor spent on manual processes > Capital locked up during settlement delays > Fees paid to intermediaries > Risk introduced by time gaps and mismatched data This is where businesses actually lose money. Not in big, obvious ways. In constant, compounding friction. Take Private Credit, for Example Private credit is loans held outside of traditional banks. It’s a multi-trillion dollar market, and much of it still runs on spreadsheets and weekly reconciliation processes. Loan data is tracked across systems. Teams manually process requests. Funds move on traditional rails, often on delayed cycles. It doesn’t have to be this way Entire teams exist just to keep systems in sync. Now move that system onto Avalanche. Loan data updates in real time. Transactions settle in about a second. Every participant sees the same state instantly. Reconciliation isn’t a separate step because the system itself is the source of truth. The impact is straightforward. > Reduced manual work > Shortened settlement cycles > Fewer layers of coordination between parties Avalanche is Infrastructure for Real Businesses Avalanche is designed to match how businesses actually operate. Instead of sharing a single chain, they can launch their own Avalanche L1s with custom rules, built-in compliance, and predictable performance. They control the system. Avalanche’s Moment For the longest time, blockchain naysayers said this could all be done better with spreadsheets or existing systems. They were right. That’s what the technology allowed. Now it’s changed. Avalanche can replace many of those systems with real-time settlement, shared data, and automated execution. For the first time, the economics work. Built for business. 🔺

Avalanche🔺

13,104 просмотров • 4 месяцев назад

Adix is built from the ground up to be AI-powered - not as a feature, but as core infrastructure. $ADIX uses machine learning to match brands with the right creators, optimize campaign outcomes, and build on-chain reputation profiles based on real performance. It replaces manual workflows, reduces spend inefficiencies, and introduces precision at every step of the marketing process. Adix is what happens when AI and blockchain come together to solve real-world problems at scale. 🔥 👉
0:16

Adix is built from the ground up to be AI-powered - not as a feature, but as core infrastructure. $ADIX uses machine learning to match brands with the right creators, optimize campaign outcomes, and build on-chain reputation profiles based on real performance. It replaces manual workflows, reduces spend inefficiencies, and introduces precision at every step of the marketing process. Adix is what happens when AI and blockchain come together to solve real-world problems at scale. 🔥 👉

Adix

74,005 просмотров • 10 месяцев назад

Foreign outlets do selective reporting. SP does selective amplification. Together they produce a narrative designed to create maximum damage with minimum accountability. What they cannot do is change what is actually happening in Ayodhya on the ground. The city that SP left without basic infrastructure is now receiving pilgrims from across the world. The streets that SP left broken are now lined with businesses. The youth that SP left without opportunity are now earning from tourism, hospitality, trade. Yogi Adityanath built all of this and no manufactured controversy undoes it. The people of Ayodhya are not consuming the narrative SP is producing. They are living the opposite of it. #AyodhyaMarchesOn
0:12

Foreign outlets do selective reporting. SP does selective amplification. Together they produce a narrative designed to create maximum damage with minimum accountability. What they cannot do is change what is actually happening in Ayodhya on the ground. The city that SP left without basic infrastructure is now receiving pilgrims from across the world. The streets that SP left broken are now lined with businesses. The youth that SP left without opportunity are now earning from tourism, hospitality, trade. Yogi Adityanath built all of this and no manufactured controversy undoes it. The people of Ayodhya are not consuming the narrative SP is producing. They are living the opposite of it. #AyodhyaMarchesOn

Facts

14,604 просмотров • 1 месяц назад

I am completely saddened to see what has happened to Grok Imagine with it's latest update. It's a massive downgrade in motion and it prioritizes slow motion and random zooming in that is not even prompted. Prompt adherence seems to be suffering. If you can't see the night and day difference here, I don't know what else to say. Instead of just talking, look at my comparisons. I am very vocal and honest on here, this update is bad and it needs to be fixed. Grok Imagine used to showcase some of the most realistic and fluid motion, making it outperform a lot of other AI Video generators. To see it get butchered like this is extremely disappointing. Please fix this or roll back the changes. I am not the only one complaining here, just search for "grok imagine update" and read the replies for yourself. The community is not happy. This is not the direction it should be heading in. People in the community need to learn to also be honest and speak up, step outside of your bubble for once. I trust the devs see our complaints and make changes to what was once an incredibly powerful AI video generator.
0:18

I am completely saddened to see what has happened to Grok Imagine with it's latest update. It's a massive downgrade in motion and it prioritizes slow motion and random zooming in that is not even prompted. Prompt adherence seems to be suffering. If you can't see the night and day difference here, I don't know what else to say. Instead of just talking, look at my comparisons. I am very vocal and honest on here, this update is bad and it needs to be fixed. Grok Imagine used to showcase some of the most realistic and fluid motion, making it outperform a lot of other AI Video generators. To see it get butchered like this is extremely disappointing. Please fix this or roll back the changes. I am not the only one complaining here, just search for "grok imagine update" and read the replies for yourself. The community is not happy. This is not the direction it should be heading in. People in the community need to learn to also be honest and speak up, step outside of your bubble for once. I trust the devs see our complaints and make changes to what was once an incredibly powerful AI video generator.

Travis Davids

12,409 просмотров • 8 месяцев назад

GPT-5.6 Sol is unbelievably good at creating and editing videos. It can do motion design, product demos, and animations like this one I made by simply giving it a screen recording. GPT 5.6 has the best design taste and significantly outperforms Fable, which relies heavily on repetitive design patterns. To help you experiment with video editing on it, we just launched a collection of 100 ready-to-use skills that show what’s possible and help you get started with video editing using GPT-5.6. These skills can create anything from motion graphics launch videos for your product to a 3B1B-style science explainer video. You can also use them to edit existing videos: add captions, generate motion graphics, create voiceovers, redesign visual styles, translate into new languages, and much more. If you want access to the full library, comment “VIDEO SKILLS” and I’ll share it with you. (You'll have to follow me so I can DM you.)
0:11

GPT-5.6 Sol is unbelievably good at creating and editing videos. It can do motion design, product demos, and animations like this one I made by simply giving it a screen recording. GPT 5.6 has the best design taste and significantly outperforms Fable, which relies heavily on repetitive design patterns. To help you experiment with video editing on it, we just launched a collection of 100 ready-to-use skills that show what’s possible and help you get started with video editing using GPT-5.6. These skills can create anything from motion graphics launch videos for your product to a 3B1B-style science explainer video. You can also use them to edit existing videos: add captions, generate motion graphics, create voiceovers, redesign visual styles, translate into new languages, and much more. If you want access to the full library, comment “VIDEO SKILLS” and I’ll share it with you. (You'll have to follow me so I can DM you.)

Akash Anand

513,032 просмотров • 1 месяц назад

If you thought CreatorBid was just another AI Agent launchpad, you’ve missed the plot entirely. This is an ecosystem built on three interconnected pillars: > Launchpad > Tokenomics > Hub The Launchpad is evolving. Curated Launches are about to change the game completely, bringing trust and exclusivity to the table. Strong partnerships are already in motion, and tomorrow, we’ll drop a bombshell that will push this new narrative even further. Tokenomics aren’t here to chase hype, they’re built for longevity. Anchored by Agent Keys and $BID, this system is gearing up to deliver what we’re calling the Dynamic Incentive Mechanism (DIM). More details soon. And the Hub isn’t just another feature. It’s an open playground for services tailored to agents' needs. From tailored content tools to on-chain integrations, we are stacking the deck with services that will amplify your AI Agent’s impact. CreatorBid isn’t really about trends, we have been building way before AI became the narrative. We're about empowerment. On-chain. Off-chain. And every chain in between.
0:15

If you thought CreatorBid was just another AI Agent launchpad, you’ve missed the plot entirely. This is an ecosystem built on three interconnected pillars: > Launchpad > Tokenomics > Hub The Launchpad is evolving. Curated Launches are about to change the game completely, bringing trust and exclusivity to the table. Strong partnerships are already in motion, and tomorrow, we’ll drop a bombshell that will push this new narrative even further. Tokenomics aren’t here to chase hype, they’re built for longevity. Anchored by Agent Keys and $BID, this system is gearing up to deliver what we’re calling the Dynamic Incentive Mechanism (DIM). More details soon. And the Hub isn’t just another feature. It’s an open playground for services tailored to agents' needs. From tailored content tools to on-chain integrations, we are stacking the deck with services that will amplify your AI Agent’s impact. CreatorBid isn’t really about trends, we have been building way before AI became the narrative. We're about empowerment. On-chain. Off-chain. And every chain in between.

Creator.Bid

46,612 просмотров • 1 год назад

The Airbus A350 is, without question, the most beautiful airliner gracing the skies today. A masterpiece of modern engineering and design, it combines elegance with efficiency. From every angle, the A350 is perfectly proportioned. Its long, graceful fuselage flows seamlessly into a set of gently curved wings that flex in flight like a bird in motion—an iconic silhouette that instantly sets it apart. The wingtips, with their signature upturned ‘sharklets,’ don’t just look stunning—they whisper of aerodynamic excellence and fuel-saving innovation. Its nose profile is distinctive yet refined, with a gentle curvature and a cockpit visor that gives the aircraft a futuristic, almost predatory presence. And unlike many other widebodies, the A350’s fuselage length is in perfect harmony with its wing span and tail height—there’s a visual symmetry that makes it appear poised, balanced, and utterly graceful, whether taxiing on the tarmac or soaring above the clouds. But it’s not just a pretty face. The A350 is a triumph of technology—built from over 50% carbon-fibre-reinforced composite, powered by next-generation Rolls-Royce Trent XWB engines, and brimming with advanced systems that make it one of the most efficient and capable long-haul aircraft ever built. In an age where function often overrides form, the A350 is a rare exception—a true flying work of art that proves beauty and brains can coexist. 📸 by ig/captainchris Not an ad
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The Airbus A350 is, without question, the most beautiful airliner gracing the skies today. A masterpiece of modern engineering and design, it combines elegance with efficiency. From every angle, the A350 is perfectly proportioned. Its long, graceful fuselage flows seamlessly into a set of gently curved wings that flex in flight like a bird in motion—an iconic silhouette that instantly sets it apart. The wingtips, with their signature upturned ‘sharklets,’ don’t just look stunning—they whisper of aerodynamic excellence and fuel-saving innovation. Its nose profile is distinctive yet refined, with a gentle curvature and a cockpit visor that gives the aircraft a futuristic, almost predatory presence. And unlike many other widebodies, the A350’s fuselage length is in perfect harmony with its wing span and tail height—there’s a visual symmetry that makes it appear poised, balanced, and utterly graceful, whether taxiing on the tarmac or soaring above the clouds. But it’s not just a pretty face. The A350 is a triumph of technology—built from over 50% carbon-fibre-reinforced composite, powered by next-generation Rolls-Royce Trent XWB engines, and brimming with advanced systems that make it one of the most efficient and capable long-haul aircraft ever built. In an age where function often overrides form, the A350 is a rare exception—a true flying work of art that proves beauty and brains can coexist. 📸 by ig/captainchris Not an ad

aircraftmaintenancengineer

30,458 просмотров • 1 год назад

Inside every cell, there is a transport system that determines how materials move, signals propagate, and structure is maintained. This video captures that system in motion. The glowing streaks mark the growing ends of microtubules (protein polymers that constantly assemble and disassemble through a process called dynamic instability). Rather than forming permanent tracks, microtubules are rebuilt continuously, allowing cells to reorganize their internal layout in real time. This behavior is essential for life. Cells rely on microtubule dynamics to divide accurately, migrate during development and repair, and maintain long-distance transport in neurons that may span over a meter in length. When this system is altered, the consequences are significant. Certain cancer therapies work by locking microtubules in place, preventing cell division. In contrast, failures in microtubule transport are linked to neurodegenerative conditions (like Alzheimer's) where intracellular delivery breaks down. What appears as abstract motion under a microscope is actually one of the core systems that keeps cells functional, adaptable, and alive. Video Credit: Andy Moore
0:12

Inside every cell, there is a transport system that determines how materials move, signals propagate, and structure is maintained. This video captures that system in motion. The glowing streaks mark the growing ends of microtubules (protein polymers that constantly assemble and disassemble through a process called dynamic instability). Rather than forming permanent tracks, microtubules are rebuilt continuously, allowing cells to reorganize their internal layout in real time. This behavior is essential for life. Cells rely on microtubule dynamics to divide accurately, migrate during development and repair, and maintain long-distance transport in neurons that may span over a meter in length. When this system is altered, the consequences are significant. Certain cancer therapies work by locking microtubules in place, preventing cell division. In contrast, failures in microtubule transport are linked to neurodegenerative conditions (like Alzheimer's) where intracellular delivery breaks down. What appears as abstract motion under a microscope is actually one of the core systems that keeps cells functional, adaptable, and alive. Video Credit: Andy Moore

William A. Wallace, Ph.D.

18,469 просмотров • 6 месяцев назад

The three-body problem is a classic and notoriously difficult question in physics and mathematics. It asks: How do three objects, such as stars, planets, or moons, move under the influence of each other’s gravity? Unlike the simpler two-body problem, which has precise and predictable analytical solutions (like the Earth orbiting the Sun in an ellipse), the three-body problem quickly becomes chaotic and unpredictable. This complexity arises because each object's motion constantly affects, and is affected by, the other two. These gravitational interactions form a tangled and unstable system. In fact, there's no general formula that can solve all three-body scenarios exactly. This was first demonstrated in the 19th century by Henri Poincaré, whose work laid the foundations for chaos theory. While exact solutions remain elusive, scientists have discovered certain special cases where the motion is stable or periodic. One well-known example is the Lagrange points, where three bodies can maintain a stable triangular configuration. However, such neat solutions are rare. Today, thanks to powerful computers, researchers can simulate three-body systems with remarkable accuracy, helping us study triple-star systems, exoplanets, and asteroid dynamics. Yet even small changes in the starting conditions can lead to dramatically different outcomes, highlighting the sensitive dependence on initial conditions that defines chaotic systems. The three-body problem is actually a specific case of the broader n-body problem, where n can be any number of interacting bodies. As n increases, the complexity and unpredictability rise even further. The three-body problem serves as a vivid example of how simple laws of nature, like Newton’s law of gravity, can produce behavior that is intricate, unexpected, and profoundly difficult to predict.
0:16

The three-body problem is a classic and notoriously difficult question in physics and mathematics. It asks: How do three objects, such as stars, planets, or moons, move under the influence of each other’s gravity? Unlike the simpler two-body problem, which has precise and predictable analytical solutions (like the Earth orbiting the Sun in an ellipse), the three-body problem quickly becomes chaotic and unpredictable. This complexity arises because each object's motion constantly affects, and is affected by, the other two. These gravitational interactions form a tangled and unstable system. In fact, there's no general formula that can solve all three-body scenarios exactly. This was first demonstrated in the 19th century by Henri Poincaré, whose work laid the foundations for chaos theory. While exact solutions remain elusive, scientists have discovered certain special cases where the motion is stable or periodic. One well-known example is the Lagrange points, where three bodies can maintain a stable triangular configuration. However, such neat solutions are rare. Today, thanks to powerful computers, researchers can simulate three-body systems with remarkable accuracy, helping us study triple-star systems, exoplanets, and asteroid dynamics. Yet even small changes in the starting conditions can lead to dramatically different outcomes, highlighting the sensitive dependence on initial conditions that defines chaotic systems. The three-body problem is actually a specific case of the broader n-body problem, where n can be any number of interacting bodies. As n increases, the complexity and unpredictability rise even further. The three-body problem serves as a vivid example of how simple laws of nature, like Newton’s law of gravity, can produce behavior that is intricate, unexpected, and profoundly difficult to predict.

Erika 

215,611 просмотров • 1 год назад