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Can Adobe Firefly's "Edit" feature compete with Photoshop? Select a region, describe the fix, keep the rest of the frame intact. That's the pitch. Here’s what we observed across 4 sessions and 8 targeted edits with real working creatives: >1 edit landed cleanly 🥇 >5 landed partial 🥈 >2...

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I built a clone of the Yeezy store with Next.js. This was a fun challenge — the site has some smooth animations and feels very fast. But it was bothering me that I couldn't use the browser back button. Can we do better? So I rebuilt the site with v0 and Motion. Here's how it works: 1. When you click on a product, Motion is able to animate the original position of the product in the grid, to the zoomed in product detail page. 2. During this transition, we also shallow update the URL with the `/p/slug` route for the page. 3. If you press the back button in the navbar, or use the browser back button, or press escape — all options will take you back to the main product listing page. 4. If you reload the page while looking at a product, or someone sends you a link to a specific product, it still works! This is the best parts of a SPA and MPA mixed together. In the future, I can make this even better with View Transitions (I wasn't able to get the product animation just right, but if you can I'd love to see it!). I also took some creative liberties from the original design. The whole 1/2/3 size thing, where you needed to click the "?" to see SM/MD/LG was strange, so I just went directly to those sizes. Similarly, I prefered the more traditional style sheet/modal with the background color change, versus the full screen takeover. If you wanted to actually hook this up to Shopify now, you can swap the cart implementation with Next.js Commerce, which has all the APIs you need + optimistic writes 🔥 Should I make a video walking through the code?
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I built a clone of the Yeezy store with Next.js. This was a fun challenge — the site has some smooth animations and feels very fast. But it was bothering me that I couldn't use the browser back button. Can we do better? So I rebuilt the site with v0 and Motion. Here's how it works: 1. When you click on a product, Motion is able to animate the original position of the product in the grid, to the zoomed in product detail page. 2. During this transition, we also shallow update the URL with the `/p/slug` route for the page. 3. If you press the back button in the navbar, or use the browser back button, or press escape — all options will take you back to the main product listing page. 4. If you reload the page while looking at a product, or someone sends you a link to a specific product, it still works! This is the best parts of a SPA and MPA mixed together. In the future, I can make this even better with View Transitions (I wasn't able to get the product animation just right, but if you can I'd love to see it!). I also took some creative liberties from the original design. The whole 1/2/3 size thing, where you needed to click the "?" to see SM/MD/LG was strange, so I just went directly to those sizes. Similarly, I prefered the more traditional style sheet/modal with the background color change, versus the full screen takeover. If you wanted to actually hook this up to Shopify now, you can swap the cart implementation with Next.js Commerce, which has all the APIs you need + optimistic writes 🔥 Should I make a video walking through the code?

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Gemini Omni is changing video creation and most people still don't know what it can actually do. Here are 7 things you can do with it right now: 1. Image to Video in multiple styles: Upload a photo. describe the style. Gemini Omni turns it into a video. cinematic, anime, realistic. 2. Reimagine camera angles: Take any image and visualize it from a completely different angle. no reshooting. just describe it. 3. Change backgrounds: Swap the background of any video through plain conversation. no green screen. no editing software. 4. Change hairstyle: Describe a new hairstyle. Gemini Omni applies it. characters stay consistent across every frame. 5. visualize with moodboards: feed it a moodboard, audio, and a brief. it builds the video around the full creative reference — not just a text prompt. 6. swap characters and objects mid-scene: replace people, props, and objects in an existing video. the scene stays consistent. the physics hold up. 7. edit physics: describe how you want things to move. Gemini Omni adjusts the physics of the scene through conversation.
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Gemini Omni is changing video creation and most people still don't know what it can actually do. Here are 7 things you can do with it right now: 1. Image to Video in multiple styles: Upload a photo. describe the style. Gemini Omni turns it into a video. cinematic, anime, realistic. 2. Reimagine camera angles: Take any image and visualize it from a completely different angle. no reshooting. just describe it. 3. Change backgrounds: Swap the background of any video through plain conversation. no green screen. no editing software. 4. Change hairstyle: Describe a new hairstyle. Gemini Omni applies it. characters stay consistent across every frame. 5. visualize with moodboards: feed it a moodboard, audio, and a brief. it builds the video around the full creative reference — not just a text prompt. 6. swap characters and objects mid-scene: replace people, props, and objects in an existing video. the scene stays consistent. the physics hold up. 7. edit physics: describe how you want things to move. Gemini Omni adjusts the physics of the scene through conversation.

Poonam Soni

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Batch Normalization by hand ✍️ ~ 7 steps walkthrough below Batch normalization is common practice for improving training and achieving faster convergence. It sounds simple. But it is often misunderstood. 🤔 Does batch normalization involve trainable parameters, tunable hyper-parameters, or both? 🤔 Is batch normalization applied to inputs, features, weights, biases, or outputs? 🤔 How is batch normalization different from layer normalization? So I drew and calculated one entirely by hand. Goal: normalize a mini-batch of 4 examples to mean 0 and variance 1, then let the network scale it back. = 1. Given = A mini-batch of 4 training examples, each with 3 features. = 2. Linear layer = Let us multiply by the weights and add the biases. Batch norm sits after this, which answers the second question: what gets normalized is features, not inputs, weights or biases. = 3. ReLU = We apply the activation, and -2 becomes 0. Negative values are suppressed before any statistic is taken. = 4. Batch statistics = Let us compute the sum, mean, variance and standard deviation, one row at a time. A row is a feature and the four columns are the four examples, so every number here measures one feature against the rest of the batch. That is the "batch" in batch normalization, and it is exactly what layer normalization does not do. The statistics are rounded to whole numbers, which is what keeps the rest of the page doable in pen. = 5. Shift to mean 0 = We subtract the mean, in green. The four values in each feature now average to zero. = 6. Scale to variance 1 = Let us divide by the standard deviation, in orange. Each feature now has variance one, whatever scale it arrived at. = 7. Scale and shift = We multiply by a linear transformation and pass the result on. The diagonal and the last column are trainable, so having just forced every feature to mean 0 and variance 1, we hand the network the means to undo it. The outputs: Mean of each feature = [2, 1, 2] Std dev of each feature = [1, 1, 2] To the next layer = [2, -2, 2, 0], [-3, 3, 6, -3], [2, 0, 1, 2] The answers: 🤔 Both. The scale and shift are trainable, the statistics are not. Epsilon and the momentum on the running statistics are the hyper-parameters, and one mini-batch by hand needs neither. 🤔 Features, after the linear layer, not inputs, weights or biases. 🤔 Batch norm measures across the batch, one feature at a time. Layer norm measures across the features, one example at a time. 💾 Save this post!
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Batch Normalization by hand ✍️ ~ 7 steps walkthrough below Batch normalization is common practice for improving training and achieving faster convergence. It sounds simple. But it is often misunderstood. 🤔 Does batch normalization involve trainable parameters, tunable hyper-parameters, or both? 🤔 Is batch normalization applied to inputs, features, weights, biases, or outputs? 🤔 How is batch normalization different from layer normalization? So I drew and calculated one entirely by hand. Goal: normalize a mini-batch of 4 examples to mean 0 and variance 1, then let the network scale it back. = 1. Given = A mini-batch of 4 training examples, each with 3 features. = 2. Linear layer = Let us multiply by the weights and add the biases. Batch norm sits after this, which answers the second question: what gets normalized is features, not inputs, weights or biases. = 3. ReLU = We apply the activation, and -2 becomes 0. Negative values are suppressed before any statistic is taken. = 4. Batch statistics = Let us compute the sum, mean, variance and standard deviation, one row at a time. A row is a feature and the four columns are the four examples, so every number here measures one feature against the rest of the batch. That is the "batch" in batch normalization, and it is exactly what layer normalization does not do. The statistics are rounded to whole numbers, which is what keeps the rest of the page doable in pen. = 5. Shift to mean 0 = We subtract the mean, in green. The four values in each feature now average to zero. = 6. Scale to variance 1 = Let us divide by the standard deviation, in orange. Each feature now has variance one, whatever scale it arrived at. = 7. Scale and shift = We multiply by a linear transformation and pass the result on. The diagonal and the last column are trainable, so having just forced every feature to mean 0 and variance 1, we hand the network the means to undo it. The outputs: Mean of each feature = [2, 1, 2] Std dev of each feature = [1, 1, 2] To the next layer = [2, -2, 2, 0], [-3, 3, 6, -3], [2, 0, 1, 2] The answers: 🤔 Both. The scale and shift are trainable, the statistics are not. Epsilon and the momentum on the running statistics are the hyper-parameters, and one mini-batch by hand needs neither. 🤔 Features, after the linear layer, not inputs, weights or biases. 🤔 Batch norm measures across the batch, one feature at a time. Layer norm measures across the features, one example at a time. 💾 Save this post!

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AI can generate a video. But turning it into something that actually feels finished is a different story. You still need to source assets, arrange scenes, add motion graphics, fix mistakes, and polish the final edit. Fotor Video Agent handles the whole production workflow with automatic orchestration. It can also generate professional 4K-level motion graphics in minutes, without requiring After Effects skills. And the best part? The motion graphics stay editable. You can change the text, numbers, charts, and other elements directly instead of regenerating the entire graphic. It’s 50× faster and costs about 1/200th of traditional AE production. So AI handles the heavy lifting, while you keep control over the final result. And it recently hit #1 Product of the Day on Product Hunt 🏆 Here’s what it made ↓
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AI can generate a video. But turning it into something that actually feels finished is a different story. You still need to source assets, arrange scenes, add motion graphics, fix mistakes, and polish the final edit. Fotor Video Agent handles the whole production workflow with automatic orchestration. It can also generate professional 4K-level motion graphics in minutes, without requiring After Effects skills. And the best part? The motion graphics stay editable. You can change the text, numbers, charts, and other elements directly instead of regenerating the entire graphic. It’s 50× faster and costs about 1/200th of traditional AE production. So AI handles the heavy lifting, while you keep control over the final result. And it recently hit #1 Product of the Day on Product Hunt 🏆 Here’s what it made ↓

Sobi Ai

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Everyone loves saying: "Why don't Indian brands make products like this?" But they don't see the real problem. A well-wisher sent me a reel of a product that would be a huge hit in India. I checked the numbers. China factory price: $20 Landed cost in India: ~₹3,000 Retail price needed: ~₹6,000 Too expensive for most Indians. The funny part? If we Indianised it, we could probably sell it for ₹3,000 and still make it work. But there is one big wall. Moulds. Just the tooling would cost around $80,000. Before selling even one unit. That's the real challenge with making products in India. Not ideas or demand. But the cost and risk of building from scratch. So for now, we focus on smaller bets. Products where we can afford to take the risk. Still, it hurts seeing great ideas and not being able to build them all. How can we solve this?
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Everyone loves saying: "Why don't Indian brands make products like this?" But they don't see the real problem. A well-wisher sent me a reel of a product that would be a huge hit in India. I checked the numbers. China factory price: $20 Landed cost in India: ~₹3,000 Retail price needed: ~₹6,000 Too expensive for most Indians. The funny part? If we Indianised it, we could probably sell it for ₹3,000 and still make it work. But there is one big wall. Moulds. Just the tooling would cost around $80,000. Before selling even one unit. That's the real challenge with making products in India. Not ideas or demand. But the cost and risk of building from scratch. So for now, we focus on smaller bets. Products where we can afford to take the risk. Still, it hurts seeing great ideas and not being able to build them all. How can we solve this?

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Hi guys! Me and the programmers are working on a little hotfix with some shit we didn't add in and to fix all the bugs once and for all! But this is where I need all of your help! If you have encountered a bug, post it here in the comments. (finished product of freeplay in video)
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Hi guys! Me and the programmers are working on a little hotfix with some shit we didn't add in and to fix all the bugs once and for all! But this is where I need all of your help! If you have encountered a bug, post it here in the comments. (finished product of freeplay in video)

FNF Pibby: Apocalypse

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This creative has pulled in a 33% hook rate and 6x ROAS since we started running it on the client's TikTok ad account. Across the board it's worked extremely well. But why? It's not only relatable, but it's very straightforward We're showing a fit creator How many of us aspire to be in that good of shape? The idea is to show an aspiring fitness level And how someone who is busy can achieve it, even if they don't have a ton of free time We don't want to sell an intimidating amount of work that needs to be done Because no one wants to think about doing 2 hrs of exercise every day + dieting + supplements Workout WHILE you do other tasks Remove the pressure of going somewhere else to workout You can see there aren't a ton of shots. Kept it simple and just had different angles of the creator using the product. So what can you take away from all this? #1 - Give the viewer realistic goals they can achieve with the product (taking 10k steps, rather than "you'll lose 30lbs" - seems much more believable). #2 - Video doesn't have to be complex. If your product is very visual, just showcase the product being used. You don't need to get fancy with your edits. Let the product do the selling.
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This creative has pulled in a 33% hook rate and 6x ROAS since we started running it on the client's TikTok ad account. Across the board it's worked extremely well. But why? It's not only relatable, but it's very straightforward We're showing a fit creator How many of us aspire to be in that good of shape? The idea is to show an aspiring fitness level And how someone who is busy can achieve it, even if they don't have a ton of free time We don't want to sell an intimidating amount of work that needs to be done Because no one wants to think about doing 2 hrs of exercise every day + dieting + supplements Workout WHILE you do other tasks Remove the pressure of going somewhere else to workout You can see there aren't a ton of shots. Kept it simple and just had different angles of the creator using the product. So what can you take away from all this? #1 - Give the viewer realistic goals they can achieve with the product (taking 10k steps, rather than "you'll lose 30lbs" - seems much more believable). #2 - Video doesn't have to be complex. If your product is very visual, just showcase the product being used. You don't need to get fancy with your edits. Let the product do the selling.

Nacho Vanzini | DTC Growth

42,144 Aufrufe • vor 2 Jahren

I’ve made it to Iraq. It was a long journey with very little rest. I want to make sure I lead from the front and report the news from the ground. I would have gone to Gaza, but as you know, the Israelis put my name on a missile, a target list, and I would likely have been assassinated. I came to Iran to report on events during the funeral of Ayatollah Khamenei and while the U.S. was bombing the country. I’ve now come to Iraq for Arbaeen to challenge attempts at sectarian division and to report as the Saudis and Americans bomb the country. My goal is to bring you the real news, real information, in real time.
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I’ve made it to Iraq. It was a long journey with very little rest. I want to make sure I lead from the front and report the news from the ground. I would have gone to Gaza, but as you know, the Israelis put my name on a missile, a target list, and I would likely have been assassinated. I came to Iran to report on events during the funeral of Ayatollah Khamenei and while the U.S. was bombing the country. I’ve now come to Iraq for Arbaeen to challenge attempts at sectarian division and to report as the Saudis and Americans bomb the country. My goal is to bring you the real news, real information, in real time.

Sulaiman Ahmed

83,172 Aufrufe • vor 1 Monat

MiniMax H3 Instead of sharing the prompts for each of these videos, I thought it would be more useful to share how I created that prompts. All of the videos were generated with text-to-video. First, find an image with the kind of scene, composition and mood you want to recreate. I used a few YouTube playlist thumbnails as references but Pinterest is also a great place to find inspiration. You can even use your own old or nostalgic photographs. Then upload the image to ChatGPT and ask it to describe the scene. The description it gives you can essentially become your text-to-video prompt. From there, you can generate completely new scenes with a similar composition, atmosphere and cinematic language. You can of course use the reference image directly with image-to-video or as a first frame. But if the original image isn't yours, I prefer using it only as visual inspiration and recreating the scene through text-to-video. This is the prompt I use with ChatGPT: "Describe the scene in this image in English, focusing primarily on what is happening, the characters, their actions and body language, the setting and the overall atmosphere. Also briefly describe the composition, framing, camera angle, approximate lens choice, lighting, color palette and cinematic aesthetic. Keep it concise and scene-focused rather than overly technical."
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MiniMax H3 Instead of sharing the prompts for each of these videos, I thought it would be more useful to share how I created that prompts. All of the videos were generated with text-to-video. First, find an image with the kind of scene, composition and mood you want to recreate. I used a few YouTube playlist thumbnails as references but Pinterest is also a great place to find inspiration. You can even use your own old or nostalgic photographs. Then upload the image to ChatGPT and ask it to describe the scene. The description it gives you can essentially become your text-to-video prompt. From there, you can generate completely new scenes with a similar composition, atmosphere and cinematic language. You can of course use the reference image directly with image-to-video or as a first frame. But if the original image isn't yours, I prefer using it only as visual inspiration and recreating the scene through text-to-video. This is the prompt I use with ChatGPT: "Describe the scene in this image in English, focusing primarily on what is happening, the characters, their actions and body language, the setting and the overall atmosphere. Also briefly describe the composition, framing, camera angle, approximate lens choice, lighting, color palette and cinematic aesthetic. Keep it concise and scene-focused rather than overly technical."

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We are getting absurdly close to the point where “learning Blender” means learning how to direct an AI. A shot like this looks soft and playful on the surface, but under it is the usual 3D pain: modeling, layout, materials, lighting, atmosphere, animation, and endless tiny fixes until the frame stops looking dead. That is why Kimi K3 matters. With Blender MCP, you can describe a scene like a robotic goat walking through a dreamy field and let the model help build the environment, place the camera, shape the materials, script the motion, and iterate inside the real Blender project. The real shift is not text-to-image. It is text-to-workflow. Kimi K3 does not just give you a pretty output and disappear. It can help move the actual scene from rough setup to something that looks art-directed. Soon the hardest part of 3D will not be the software. It will be whether your imagination is good enough to deserve tools like this.
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We are getting absurdly close to the point where “learning Blender” means learning how to direct an AI. A shot like this looks soft and playful on the surface, but under it is the usual 3D pain: modeling, layout, materials, lighting, atmosphere, animation, and endless tiny fixes until the frame stops looking dead. That is why Kimi K3 matters. With Blender MCP, you can describe a scene like a robotic goat walking through a dreamy field and let the model help build the environment, place the camera, shape the materials, script the motion, and iterate inside the real Blender project. The real shift is not text-to-image. It is text-to-workflow. Kimi K3 does not just give you a pretty output and disappear. It can help move the actual scene from rough setup to something that looks art-directed. Soon the hardest part of 3D will not be the software. It will be whether your imagination is good enough to deserve tools like this.

Rina

45,651 Aufrufe • vor 1 Monat

I need to be real with ya'll, I'm disappointed with the Shapeless Man edit style. I just realized that the lines on his body are completely still and don't move at all. That was one of the coolest features of the Shapeless Man and it made him look a lot more creepy & shapeless. Not sure why they chose to make the lines still, but if the style can be updated to have the moving lines that would be amazing. The eyes also just being solid yellow instead of the yellow & orange gradient bugs me a bit too. I really don't want to complain, but I'm kinda let down with this style. The rest of the set is fire, no complaints from me there, it's just the Shapeless Man style.
0:14

I need to be real with ya'll, I'm disappointed with the Shapeless Man edit style. I just realized that the lines on his body are completely still and don't move at all. That was one of the coolest features of the Shapeless Man and it made him look a lot more creepy & shapeless. Not sure why they chose to make the lines still, but if the style can be updated to have the moving lines that would be amazing. The eyes also just being solid yellow instead of the yellow & orange gradient bugs me a bit too. I really don't want to complain, but I'm kinda let down with this style. The rest of the set is fire, no complaints from me there, it's just the Shapeless Man style.

Rezztro

133,640 Aufrufe • vor 23 Tagen

I just dropped myself into a Taylor Swift-style music video without writing a single prompt, timeline, or storyboard. I uploaded one photo and the song. That's it. Atlabs AI took over from there: • Built the character sheet • Planned the scenes • Generated the prompts • Synced every cut to the beat • Delivered a finished edit Most AI video tools promise automation, but the tradeoff is usually creative control. This was the opposite. The agents handled the production work while I focused on direction. Every scene, transition, framing choice, and creative decision stayed in my hands. When the edit was ready, I could jump in, swap shots, rework sequences, change the mood, and fine-tune the story. It felt less like using a tool and more like working with an AI production crew. We're moving beyond prompting. The next wave is directing autonomous creative workflows that understand the music, build the narrative, and still leave the final call to you. Character: ChatGPT Image Video: Seedance This is the most fun I've had making a music video in a long time.
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I just dropped myself into a Taylor Swift-style music video without writing a single prompt, timeline, or storyboard. I uploaded one photo and the song. That's it. Atlabs AI took over from there: • Built the character sheet • Planned the scenes • Generated the prompts • Synced every cut to the beat • Delivered a finished edit Most AI video tools promise automation, but the tradeoff is usually creative control. This was the opposite. The agents handled the production work while I focused on direction. Every scene, transition, framing choice, and creative decision stayed in my hands. When the edit was ready, I could jump in, swap shots, rework sequences, change the mood, and fine-tune the story. It felt less like using a tool and more like working with an AI production crew. We're moving beyond prompting. The next wave is directing autonomous creative workflows that understand the music, build the narrative, and still leave the final call to you. Character: ChatGPT Image Video: Seedance This is the most fun I've had making a music video in a long time.

Sharon Riley

36,280 Aufrufe • vor 2 Monaten

✨ Grok's new Imagine video model also comes with an Edit model We know edit models for images, you submit an image, write a prompt what to change, but this is the first time I've seen a proper edit model for video And it kinda works, not great yet though but it does something Here I had to remove the old name "Nomad List" in the video for my site First it said "Go nomad -> Nomad List", so I prompted it "remove the text Nomad List. do not change anything else", it didn't remove it but it replaced it with just "Go nomad" again, okay good enough Useful because otherwise I'd have to scour my backups for the original video in Final Cut Pro, and this is faster One thing you see is it changes the pattern on the door also, but that's okay for now if I fade it in
0:17

✨ Grok's new Imagine video model also comes with an Edit model We know edit models for images, you submit an image, write a prompt what to change, but this is the first time I've seen a proper edit model for video And it kinda works, not great yet though but it does something Here I had to remove the old name "Nomad List" in the video for my site First it said "Go nomad -> Nomad List", so I prompted it "remove the text Nomad List. do not change anything else", it didn't remove it but it replaced it with just "Go nomad" again, okay good enough Useful because otherwise I'd have to scour my backups for the original video in Final Cut Pro, and this is faster One thing you see is it changes the pattern on the door also, but that's okay for now if I fade it in

@levelsio

73,183 Aufrufe • vor 7 Monaten

As I sit here in DC this week, we are closer to something I was not sure I would ever see. I have been working in this industry since 2015. For most of those years, the defining feature of crypto in Washington was not policy. It was the absence of it. A gray zone where serious people built serious things under a constant cloud, never quite sure which rules applied or whether the ground would move beneath them. This week the CLARITY Act sits on the Senate calendar. A federal framework for digital asset market structure, the thing this industry has wanted for the better part of a decade, is closer than it has ever been. It is not law yet, and there are real hurdles left. But the distance between where we stood a few years ago and where we are sitting today is hard to put into words. I keep thinking about the work that got us here. Over the past year I watched Chainlink move from outside these conversations to inside them. Sergey at the White House for the signing of the GENIUS Act. The Department of Commerce putting government economic data onchain. Meetings with the SEC that became real interpretive guidance. Conversations with the lawmakers now writing the rules. None of that happens by accident. It happens because people keep showing up, year after year, and make the case in rooms where it is not yet obvious. And there is something fitting in it. The entire premise of what we build is verification. Making truth provable. Removing the question of what is real. The work here in DC is the same thing in a different form. Trading a decade of ambiguity for something the industry has never actually had. We are not at the finish line. But sitting here, it is hard not to feel the weight of it. The gray zone is ending. What comes next is something this industry has never had. Clarity.
0:10

As I sit here in DC this week, we are closer to something I was not sure I would ever see. I have been working in this industry since 2015. For most of those years, the defining feature of crypto in Washington was not policy. It was the absence of it. A gray zone where serious people built serious things under a constant cloud, never quite sure which rules applied or whether the ground would move beneath them. This week the CLARITY Act sits on the Senate calendar. A federal framework for digital asset market structure, the thing this industry has wanted for the better part of a decade, is closer than it has ever been. It is not law yet, and there are real hurdles left. But the distance between where we stood a few years ago and where we are sitting today is hard to put into words. I keep thinking about the work that got us here. Over the past year I watched Chainlink move from outside these conversations to inside them. Sergey at the White House for the signing of the GENIUS Act. The Department of Commerce putting government economic data onchain. Meetings with the SEC that became real interpretive guidance. Conversations with the lawmakers now writing the rules. None of that happens by accident. It happens because people keep showing up, year after year, and make the case in rooms where it is not yet obvious. And there is something fitting in it. The entire premise of what we build is verification. Making truth provable. Removing the question of what is real. The work here in DC is the same thing in a different form. Trading a decade of ambiguity for something the industry has never actually had. We are not at the finish line. But sitting here, it is hard not to feel the weight of it. The gray zone is ending. What comes next is something this industry has never had. Clarity.

Chris Barrett

14,798 Aufrufe • vor 3 Monaten

i quit my “dream” web3 job last month. remote. good pay. chill life. from the outside, it looked perfect. on the inside, i was stuck in the same 9–5 loop, waiting for a paycheck instead of doing what i actually love. i’m 22. people say “you can take risks at any age” ~ but for me, it feels like now or never. this is only the second video i’ve ever made. the audio might be mid, the edit might be rough, but it’s real. here’s the video: watch it and roast / review / share what i can improve.
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i quit my “dream” web3 job last month. remote. good pay. chill life. from the outside, it looked perfect. on the inside, i was stuck in the same 9–5 loop, waiting for a paycheck instead of doing what i actually love. i’m 22. people say “you can take risks at any age” ~ but for me, it feels like now or never. this is only the second video i’ve ever made. the audio might be mid, the edit might be rough, but it’s real. here’s the video: watch it and roast / review / share what i can improve.

pawan

15,743 Aufrufe • vor 7 Monaten

Magic Quill: A Free AI Image Editor That Feels Like Magic This tool is incredibly useful and free to use now! It lets you select parts of an image and edit them with just a text prompt. Mostly I’ve gotten exactly what I needed on the first try! Here’s how to use it:
0:15

Magic Quill: A Free AI Image Editor That Feels Like Magic This tool is incredibly useful and free to use now! It lets you select parts of an image and edit them with just a text prompt. Mostly I’ve gotten exactly what I needed on the first try! Here’s how to use it:

el.cine

197,108 Aufrufe • vor 1 Jahr

Here's the FIRST motion poster of #TheVvaan and it's outstanding. I have ALREADY seen the teaser and here are a few things I can confirm - 1) This is Bollywood's maiden foray into FANTASY-FOLKLORE genre. It has the potential to redefine how SUPERNATURAL films are mounted in India. 2) We will witness Sidharth Malhotra like NEVER BEFORE. His new avatar is simply astounding. 3) The story is INHERENTLY Indian and will connect with everyone across the length & breadth of the country. 4) The "Forrest" is NOT just a symbolism... but an important character of the FILM 💥 #TheVvaanTeaser #SidharthMalhotra
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Here's the FIRST motion poster of #TheVvaan and it's outstanding. I have ALREADY seen the teaser and here are a few things I can confirm - 1) This is Bollywood's maiden foray into FANTASY-FOLKLORE genre. It has the potential to redefine how SUPERNATURAL films are mounted in India. 2) We will witness Sidharth Malhotra like NEVER BEFORE. His new avatar is simply astounding. 3) The story is INHERENTLY Indian and will connect with everyone across the length & breadth of the country. 4) The "Forrest" is NOT just a symbolism... but an important character of the FILM 💥 #TheVvaanTeaser #SidharthMalhotra

Navneet Mundhra

34,868 Aufrufe • vor 19 Tagen