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We’re (finally) rolling out some WIP materials from SONIC X SHADOW: Dark Beginnings! Sonic the Hedgehog SEGA Here we’d love to show you how we make 3D look 2D, with a step-by-step layering of the Emerl’s entrance shot from episode 1. Animatic by GXS Productions Kevin Molina-Ortiz

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SIMAGE Animation

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74,994 görüntüleme • 1 yıl önce •via X (Twitter)

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HELPED A LOT WITH THIS, FROM THE STORYBOARD, BACKGROUNDS AND EVEN HELPED WITH THE ANIMATION IN SOME SCENES HERE ARE SOME OF MY CONTRIBUTIONS (I ANIMATED METAL OVERLORD) (Team sonic and Team dark with the help of MALMOOKAI , and Neo Metal Animation by Kyal Brown) (1/?)
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HELPED A LOT WITH THIS, FROM THE STORYBOARD, BACKGROUNDS AND EVEN HELPED WITH THE ANIMATION IN SOME SCENES HERE ARE SOME OF MY CONTRIBUTIONS (I ANIMATED METAL OVERLORD) (Team sonic and Team dark with the help of MALMOOKAI , and Neo Metal Animation by Kyal Brown) (1/?)

KornArt

305,426 görüntüleme • 11 gün önce

🧵AI scene exploration: Midjourney x Gen-3 Alpha Turbo guide One of my favorite things to do with AI, is to use Advanced Camera Controls in Gen-3 Alpha Turbo by Runway It lets me see my interiors, cars and portraits from different angles, so it feels like a cool prelude before AI 3D, that we'll hopefully see at some point. Let me show you how to do it step-by step 👇
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🧵AI scene exploration: Midjourney x Gen-3 Alpha Turbo guide One of my favorite things to do with AI, is to use Advanced Camera Controls in Gen-3 Alpha Turbo by Runway It lets me see my interiors, cars and portraits from different angles, so it feels like a cool prelude before AI 3D, that we'll hopefully see at some point. Let me show you how to do it step-by step 👇

Everett World

68,655 görüntüleme • 1 yıl önce

Remix Mean Girl and the Dweeb (season 1 episode 1) A sissy hypno video that will make you crave to be transformed from dweeb to a bullied and beaten sissy maid by your step sister. Get the full, fast paced, remixed, hypno video here: #SissyHypno #SissyCaption #Sissification #Feminization #BetaMale #BullyFetish #Humiliation #Mesmerize #LatexLeggings #Taboo
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Remix Mean Girl and the Dweeb (season 1 episode 1) A sissy hypno video that will make you crave to be transformed from dweeb to a bullied and beaten sissy maid by your step sister. Get the full, fast paced, remixed, hypno video here: #SissyHypno #SissyCaption #Sissification #Feminization #BetaMale #BullyFetish #Humiliation #Mesmerize #LatexLeggings #Taboo

Nadia Valentine

14,072 görüntüleme • 2 yıl önce

⚡ SONIC BONDS ARE NOW LIVE! ⚡⛓️ We’re thrilled to bring Bonds to Sonic — the fastest EVM chain powered by $S, combining speed, incentives, and world-class infrastructure. 🔥 In addition to the $S Bonds from Sonic Labs, we’re also launching two new partner Bonds from within the ecosystem: Shadow Exchange x(3,3) 💥! and むん兵衛@(マッド)ボンバーマン! 1️⃣ Sonic is the highest-performing EVM L1, combining speed, incentives, and world-class infrastructure, powering the next generation of DeFi applications. The chain provides 400,000 TPS and sub-second finality. The S token is Sonic's native token, used for paying transaction fees, staking, running validators, and participating in governance. Grab discounted $S now! → 2️⃣ Shadow is a Sonic-native concentrated liquidity exchange that offers deep liquidity, minimal slippage, and precise trading. Users can maximize returns by targeting active liquidity ranges and fine-tuning price bands. The platform rewards users with fees, vote incentives, and rebases, while its dynamic, customizable fee system adapts to market activity, powered by SHADOW and x33 tokens. Get $x33 tokens at a discount! → 3️⃣ MoonBay is a crypto project on the Sonic Network with a strong community and the $MOON token at its core. Blending meme culture with real utility, it embraces DeFi, NFTs, GameFi, and more. Focused on trends and innovation, MoonBay offers value, entertainment, and growth, making it a vibrant hub in the crypto space. Buy $MOON at a discount! → Get ready to Bond faster, better, and smarter — the Sonic way. 💨
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⚡ SONIC BONDS ARE NOW LIVE! ⚡⛓️ We’re thrilled to bring Bonds to Sonic — the fastest EVM chain powered by $S, combining speed, incentives, and world-class infrastructure. 🔥 In addition to the $S Bonds from Sonic Labs, we’re also launching two new partner Bonds from within the ecosystem: Shadow Exchange x(3,3) 💥! and むん兵衛@(マッド)ボンバーマン! 1️⃣ Sonic is the highest-performing EVM L1, combining speed, incentives, and world-class infrastructure, powering the next generation of DeFi applications. The chain provides 400,000 TPS and sub-second finality. The S token is Sonic's native token, used for paying transaction fees, staking, running validators, and participating in governance. Grab discounted $S now! → 2️⃣ Shadow is a Sonic-native concentrated liquidity exchange that offers deep liquidity, minimal slippage, and precise trading. Users can maximize returns by targeting active liquidity ranges and fine-tuning price bands. The platform rewards users with fees, vote incentives, and rebases, while its dynamic, customizable fee system adapts to market activity, powered by SHADOW and x33 tokens. Get $x33 tokens at a discount! → 3️⃣ MoonBay is a crypto project on the Sonic Network with a strong community and the $MOON token at its core. Blending meme culture with real utility, it embraces DeFi, NFTs, GameFi, and more. Focused on trends and innovation, MoonBay offers value, entertainment, and growth, making it a vibrant hub in the crypto space. Buy $MOON at a discount! → Get ready to Bond faster, better, and smarter — the Sonic way. 💨

ApeBond

22,036 görüntüleme • 1 yıl önce

From product image to video with just one tool - Dzine As you may have noticed, this is one of my favorite tools. It is also very underrated, as probably 50% of my tutorials include some workflow. I was testing the new image-to-video option today, and I love it. Step - by step guide in comments 🔽 I can do 95% of a workflow without switching between apps. Image generation, Image to image with style reference, background removal, background generation, and 2 frames image to video. The only other app I have been using for this video is CapCut so that I can stitch it together. Step by step 🔽
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From product image to video with just one tool - Dzine As you may have noticed, this is one of my favorite tools. It is also very underrated, as probably 50% of my tutorials include some workflow. I was testing the new image-to-video option today, and I love it. Step - by step guide in comments 🔽 I can do 95% of a workflow without switching between apps. Image generation, Image to image with style reference, background removal, background generation, and 2 frames image to video. The only other app I have been using for this video is CapCut so that I can stitch it together. Step by step 🔽

Teodora P L

28,523 görüntüleme • 1 yıl önce

I made a step by step one-hour tutorial on how to make a VR shooter in Unity! After releasing the first 3-parts of my series on how to make a VR game in Unity 6.2, I wanted to build a VR game from scratch using everything we’ve learned so far. Out of 10 different themes, the one that won the Patreon poll was… a VR Shooter! Here’s the result of that challenge: • A VR rig with climbing locomotion • A pistol with silencer • Guard patrols • A guard AI vision system that can detect the player If you’d like to watch the full tutorial and get the Unity project files, it’s available right now on Patreon : 👉
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I made a step by step one-hour tutorial on how to make a VR shooter in Unity! After releasing the first 3-parts of my series on how to make a VR game in Unity 6.2, I wanted to build a VR game from scratch using everything we’ve learned so far. Out of 10 different themes, the one that won the Patreon poll was… a VR Shooter! Here’s the result of that challenge: • A VR rig with climbing locomotion • A pistol with silencer • Guard patrols • A guard AI vision system that can detect the player If you’d like to watch the full tutorial and get the Unity project files, it’s available right now on Patreon : 👉

Quentin Valembois

11,449 görüntüleme • 9 ay önce

Took some crypto profits and dropped $800,000 on a new watch a Patek 5711/111P This money has come from a combination of launching, trading and straight up trenching I truly believe ANYONE can make money in this market Whatever race, age, gender, it’s possible for all and a lot easier than you’d think I’ve put together a group where I’ll be sharing all my plays and live trading daily but also complete video step by step guides on everything from how to actually buy crypto, to how to trade it, how to use bots, who to follow in the space etc So even if you’re a complete beginner you can start making money from day 1
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Took some crypto profits and dropped $800,000 on a new watch a Patek 5711/111P This money has come from a combination of launching, trading and straight up trenching I truly believe ANYONE can make money in this market Whatever race, age, gender, it’s possible for all and a lot easier than you’d think I’ve put together a group where I’ll be sharing all my plays and live trading daily but also complete video step by step guides on everything from how to actually buy crypto, to how to trade it, how to use bots, who to follow in the space etc So even if you’re a complete beginner you can start making money from day 1

HPD

79,752 görüntüleme • 1 yıl önce

Milestone unlocked 🔓🔑. Today, we announced positive topline results from Emerge, the first Phase 3 study of our pharmaceutical LSD for major depressive disorder (MDD). These results mark a significant step forward in our mission to forge a new era of psychiatry, one with novel treatments that target underlying cause of disease, not just symptoms. For patients who may have run out of options, these results matter. We’re energized by the momentum ahead as we continue pursuing potential new treatment options for the millions of people living with a mental health disorder. Learn more about this significant step:
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Milestone unlocked 🔓🔑. Today, we announced positive topline results from Emerge, the first Phase 3 study of our pharmaceutical LSD for major depressive disorder (MDD). These results mark a significant step forward in our mission to forge a new era of psychiatry, one with novel treatments that target underlying cause of disease, not just symptoms. For patients who may have run out of options, these results matter. We’re energized by the momentum ahead as we continue pursuing potential new treatment options for the millions of people living with a mental health disorder. Learn more about this significant step:

Definium Therapeutics

19,209 görüntüleme • 1 ay önce

🎂 YOKO DAY MY FAN SUPPORT! 🎂 Happy Birthday, Yoko 🩷 Today, we proudly share this LED screening video as a small gift from us to you — a glimpse of our love and support lighting up the city, just like how you light up our hearts ✨ This is what we’ve prepared for you, and for us — a reminder that no matter where you are, we’re always right here cheering you on, every step of the way 🫶 We love you always, Yoko 🤍🫧 HAPPY YOKO DAY #Yoko24thBirthday
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🎂 YOKO DAY MY FAN SUPPORT! 🎂 Happy Birthday, Yoko 🩷 Today, we proudly share this LED screening video as a small gift from us to you — a glimpse of our love and support lighting up the city, just like how you light up our hearts ✨ This is what we’ve prepared for you, and for us — a reminder that no matter where you are, we’re always right here cheering you on, every step of the way 🫶 We love you always, Yoko 🤍🫧 HAPPY YOKO DAY #Yoko24thBirthday

FayeYoko Malaysia Official 🇲🇾

16,792 görüntüleme • 1 yıl önce

We are stoked to formally announce The Chefs. A fully dynamic PFP collection with art created by Rugdrigo (Artist 2.0). Inspired by what Sanj did with Fomojis 2.0s, we decided to take it a step further and have all of the traits evolve from day to night. So the day time versions of your ordinal will be chefs. The night time versions will evolve into something else entirely. With our 1/1s, we wanted to do something a bit different. I believe 1/1s should really stand out in a collection and so few projects actually succeed in doing that. I reached out to some of my favorite artists and projects in the space to curate an incredibly diverse set of 1/1s. We do the cooking! Mint Date : 11/15 on Magic Eden on Bitcoin 🟧 at 10 AM EST Price : .0009BTC Collection Size : 2392
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We are stoked to formally announce The Chefs. A fully dynamic PFP collection with art created by Rugdrigo (Artist 2.0). Inspired by what Sanj did with Fomojis 2.0s, we decided to take it a step further and have all of the traits evolve from day to night. So the day time versions of your ordinal will be chefs. The night time versions will evolve into something else entirely. With our 1/1s, we wanted to do something a bit different. I believe 1/1s should really stand out in a collection and so few projects actually succeed in doing that. I reached out to some of my favorite artists and projects in the space to curate an incredibly diverse set of 1/1s. We do the cooking! Mint Date : 11/15 on Magic Eden on Bitcoin 🟧 at 10 AM EST Price : .0009BTC Collection Size : 2392

Jalapeno Pete

12,657 görüntüleme • 1 yıl önce

MAKE is looking for Creative Generalists with Specialties... Artists who can do it all, yet have that one area they’re really amazing at. We care deeply about ideas, storytelling, and making work that makes people feel. Tools and techniques? They matter. But what we’re after is taste, curiosity, and a clear point of view. If you can work across disciplines, thrive in a team, and bring something only you can bring to the table... we’d love to hear from you! 𝗔𝗣𝗣𝗟𝗬 𝗛𝗘𝗥𝗘: ▪️ 2D Artists: ▪️ 3D Artists: ▪️ VFX Artists: If you have any questions, thoughts, or comments, please share below. #MAKE #CreativeJobs #AnimationCareers #VisualStorytelling #CreativeCommunity
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MAKE is looking for Creative Generalists with Specialties... Artists who can do it all, yet have that one area they’re really amazing at. We care deeply about ideas, storytelling, and making work that makes people feel. Tools and techniques? They matter. But what we’re after is taste, curiosity, and a clear point of view. If you can work across disciplines, thrive in a team, and bring something only you can bring to the table... we’d love to hear from you! 𝗔𝗣𝗣𝗟𝗬 𝗛𝗘𝗥𝗘: ▪️ 2D Artists: ▪️ 3D Artists: ▪️ VFX Artists: If you have any questions, thoughts, or comments, please share below. #MAKE #CreativeJobs #AnimationCareers #VisualStorytelling #CreativeCommunity

MAKE

22,337 görüntüleme • 3 ay önce

a🧵on how to do the movable crater tech, You will learn this step by step, It should only take a couple of minutes to do it so lock in, Simple Overview: 1) Draw a black texture that represents a crack (use lasso or draw then fill tool) 2) Use a png to svg converter to make it into svg (you MUST make the crack black!) 3) Make the mesh of the crater 4) Export it as fbx and Import it in Roblox Studio 5) Create a viewport put the thing inside play with some lighting,material of crater n ur done 6) Make another viewport and make it so that it duplicates the character of the player every frame and puts in the viewport so that you can see it to be above the crater viewport Now for the detailed tutorial:
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a🧵on how to do the movable crater tech, You will learn this step by step, It should only take a couple of minutes to do it so lock in, Simple Overview: 1) Draw a black texture that represents a crack (use lasso or draw then fill tool) 2) Use a png to svg converter to make it into svg (you MUST make the crack black!) 3) Make the mesh of the crater 4) Export it as fbx and Import it in Roblox Studio 5) Create a viewport put the thing inside play with some lighting,material of crater n ur done 6) Make another viewport and make it so that it duplicates the character of the player every frame and puts in the viewport so that you can see it to be above the crater viewport Now for the detailed tutorial:

QwinkleTee

39,921 görüntüleme • 1 yıl önce

I tried Hedra Agent by Hedra to see if one conversation could replace the usual mess of switching models, rewriting prompts, and juggling tools. So I started with a simple idea, Hedra Agent: - Selected the right models on its own - Generated refined visuals - Suggested multiple stylistic directions - Then turned the chosen frames into a cohesive video All within the same conversation while remembering every detail we discussed. I was able to shift the mood, adjust the lighting, refine the composition, explore different angles, and even adapt the format simply by giving natural feedback. I did not have to restart or rebuild anything from scratch. The Agent handled the workflow from idea to finished, platform-ready content. What stood out was not just the output quality, but also the continuity. Instead of operating tools, it felt like collaborating with a system that understands context and builds with you step by step. Check how it works 👇🏻
0:11

I tried Hedra Agent by Hedra to see if one conversation could replace the usual mess of switching models, rewriting prompts, and juggling tools. So I started with a simple idea, Hedra Agent: - Selected the right models on its own - Generated refined visuals - Suggested multiple stylistic directions - Then turned the chosen frames into a cohesive video All within the same conversation while remembering every detail we discussed. I was able to shift the mood, adjust the lighting, refine the composition, explore different angles, and even adapt the format simply by giving natural feedback. I did not have to restart or rebuild anything from scratch. The Agent handled the workflow from idea to finished, platform-ready content. What stood out was not just the output quality, but also the continuity. Instead of operating tools, it felt like collaborating with a system that understands context and builds with you step by step. Check how it works 👇🏻

Amira Zairi

31,593 görüntüleme • 4 ay önce

[VAE] by Hand ✍️ A Variational Auto Encoder (VAE) learns the structure (mean and variance) of hidden features and generates new data from the learned structure. In contrast, GANs only learn to generate new data to fool a discriminator; they may not necessarily know the underlying structure of the data. The International Conference on Learning Representations (ICLR) this year announced its first ever "Test of Time Award" to recognizes the VAE paper, published 10 years ago. This exercise demonstrates how to calculate a VAE by hand. [1] Given: ↳ Three training examples X1, X2, X3 ↳ Copy training examples to the bottom ↳ The purpose is to train the network to reconstruct the training examples. ↳ Since each target is a training example itself, we use the Greek word "auto" which means "self." This crucial step is what makes an autoencoder "auto." [2] Encoder: Layer 1 + ReLU ↳ Multiply inputs with weights and biases ↳ Apply ReLU, crossing out negative values (-1 -> 0) [3] Encoder: Mean and Variance ↳ Multiply features with two sets of weights and biases ↳ 🟩 The first set predicts the means (𝜇) of latent distributions ↳ 🟪 The second set predicts the standard deviation (𝜎) of latent distributions [4] Reparameterization Trick: Random Offset ↳ Sample epsilon ε from the normal distribution with mean = 0 and variance = 1. ↳ The purpose is to randomly pick a offset away from the mean. ↳ Multiply the standard deviation values with epsilon values. ↳ The purpose is to scale the offset by the standard deviation. [5] Reparameterization Trick: Mean + Offset ↳ Add the sampled offset to predicted mean ↳ The result are new parameters or features 🟨 as inputs to the Decoder. [6] Decoder: Layer 1 + ReLU ↳ Multiply input features with weights and biases ↳ Apply ReLU, crossing out negative values. Here, -4 is crossed out. [7] Decoder: Layer 2 ↳ Multiply features with weights and biases ↳ The output is Decoder's attempt to reconstruct the input data X from reparameterized distributions described by 𝜇 and 𝜎. [8]-[10] KL Divergence Loss [8] Loss Gradient: Mean 𝜇 ↳ We want 𝜇 to approach 0. ↳ A lot of math called SGVB simplifies the calculation of loss gradients to simply 𝜇 [9,10] Loss Gradient: Stdev 𝜎 ↳ We want 𝜎 to approach 1. ↳ A lot of math simplifies the calculation to 𝜎 - (1/ 𝜎) [11] Reconstruction Loss ↳ We want the reconstructed data Y (dark 🟧) to be the same as the input data X. ↳ Some math involving Mean Square Error simplifies the calculation to Y - X.
0:11

[VAE] by Hand ✍️ A Variational Auto Encoder (VAE) learns the structure (mean and variance) of hidden features and generates new data from the learned structure. In contrast, GANs only learn to generate new data to fool a discriminator; they may not necessarily know the underlying structure of the data. The International Conference on Learning Representations (ICLR) this year announced its first ever "Test of Time Award" to recognizes the VAE paper, published 10 years ago. This exercise demonstrates how to calculate a VAE by hand. [1] Given: ↳ Three training examples X1, X2, X3 ↳ Copy training examples to the bottom ↳ The purpose is to train the network to reconstruct the training examples. ↳ Since each target is a training example itself, we use the Greek word "auto" which means "self." This crucial step is what makes an autoencoder "auto." [2] Encoder: Layer 1 + ReLU ↳ Multiply inputs with weights and biases ↳ Apply ReLU, crossing out negative values (-1 -> 0) [3] Encoder: Mean and Variance ↳ Multiply features with two sets of weights and biases ↳ 🟩 The first set predicts the means (𝜇) of latent distributions ↳ 🟪 The second set predicts the standard deviation (𝜎) of latent distributions [4] Reparameterization Trick: Random Offset ↳ Sample epsilon ε from the normal distribution with mean = 0 and variance = 1. ↳ The purpose is to randomly pick a offset away from the mean. ↳ Multiply the standard deviation values with epsilon values. ↳ The purpose is to scale the offset by the standard deviation. [5] Reparameterization Trick: Mean + Offset ↳ Add the sampled offset to predicted mean ↳ The result are new parameters or features 🟨 as inputs to the Decoder. [6] Decoder: Layer 1 + ReLU ↳ Multiply input features with weights and biases ↳ Apply ReLU, crossing out negative values. Here, -4 is crossed out. [7] Decoder: Layer 2 ↳ Multiply features with weights and biases ↳ The output is Decoder's attempt to reconstruct the input data X from reparameterized distributions described by 𝜇 and 𝜎. [8]-[10] KL Divergence Loss [8] Loss Gradient: Mean 𝜇 ↳ We want 𝜇 to approach 0. ↳ A lot of math called SGVB simplifies the calculation of loss gradients to simply 𝜇 [9,10] Loss Gradient: Stdev 𝜎 ↳ We want 𝜎 to approach 1. ↳ A lot of math simplifies the calculation to 𝜎 - (1/ 𝜎) [11] Reconstruction Loss ↳ We want the reconstructed data Y (dark 🟧) to be the same as the input data X. ↳ Some math involving Mean Square Error simplifies the calculation to Y - X.

Tom Yeh

48,428 görüntüleme • 2 yıl önce

🟢 Kolo💚 x 🐤 GraFun : The Future of #MemeCoin-s is here! ⚡️ We’re excited to announce partnership with #GraFun — a #BNB memecoin launcher with built-in trading features trusted by DeXe & DFW Labs. 😎 What’s in for you? - Apple Pay & Google Pay meets memecoin #trading with out-of-the box liquidity from the BNB chain. 💳 To mark this day special all the GraFun users will soon be able to tap into bonuses - exclusive KOLO x GraFun #CryptoCard 👀!
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🟢 Kolo💚 x 🐤 GraFun : The Future of #MemeCoin-s is here! ⚡️ We’re excited to announce partnership with #GraFun — a #BNB memecoin launcher with built-in trading features trusted by DeXe & DFW Labs. 😎 What’s in for you? - Apple Pay & Google Pay meets memecoin #trading with out-of-the box liquidity from the BNB chain. 💳 To mark this day special all the GraFun users will soon be able to tap into bonuses - exclusive KOLO x GraFun #CryptoCard 👀!

Kolo💚

28,000 görüntüleme • 1 yıl önce

Yep! We spent a 21 months building Werm, and we’re genuinely proud of how we’ve done things. We’ll keep doing everything possible to build great products. What you see now is the result of countless iterations from the version shown in the below video. With just three people, building and scaling a multiplayer game has been incredibly challenging, even large studios struggle with this. The 21 months of development were necessary. We went through multiple rebuilds, learned a ton about launches, and built real relationships across the ecosystem. We stayed away from presales and token launches because the product wasn’t ready. Now we finally feel confident to give it a real shot. There’ll be bumps along the way, but unlike most crypto projects built on hype, we’re launching with an actual product and genuine intent to make it work. We believe we’re doing it the right way and that’s how we plan to keep going. The goal is for the community to trust that when we build, it’s 100% real, never a scam. More news to come about Werm!
0:20

Yep! We spent a 21 months building Werm, and we’re genuinely proud of how we’ve done things. We’ll keep doing everything possible to build great products. What you see now is the result of countless iterations from the version shown in the below video. With just three people, building and scaling a multiplayer game has been incredibly challenging, even large studios struggle with this. The 21 months of development were necessary. We went through multiple rebuilds, learned a ton about launches, and built real relationships across the ecosystem. We stayed away from presales and token launches because the product wasn’t ready. Now we finally feel confident to give it a real shot. There’ll be bumps along the way, but unlike most crypto projects built on hype, we’re launching with an actual product and genuine intent to make it work. We believe we’re doing it the right way and that’s how we plan to keep going. The goal is for the community to trust that when we build, it’s 100% real, never a scam. More news to come about Werm!

Tilted Ventures

19,582 görüntüleme • 8 ay önce

Holy moly, another big one by Google DeepMind! "Our SIMA 2 research offers a strong path towards applications in robotics and another step towards AGI in the real world" Google DeepMind just unveiled SIMA 2 - an AI agent that doesn’t just follow instructions but thinks and reasons with you. The first version, SIMA 1, learned to perform over 600 basic actions in 3D environments. SIMA 2 takes a leap forward: it understands goals, holds conversations, and learns from experience. This marks a shift from “Do this” to “Let’s figure out how to achieve this together.” A thread with examples and how it works🧵:
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Holy moly, another big one by Google DeepMind! "Our SIMA 2 research offers a strong path towards applications in robotics and another step towards AGI in the real world" Google DeepMind just unveiled SIMA 2 - an AI agent that doesn’t just follow instructions but thinks and reasons with you. The first version, SIMA 1, learned to perform over 600 basic actions in 3D environments. SIMA 2 takes a leap forward: it understands goals, holds conversations, and learns from experience. This marks a shift from “Do this” to “Let’s figure out how to achieve this together.” A thread with examples and how it works🧵:

Chubby♨️

43,309 görüntüleme • 8 ay önce

Shout-out to the artist community We love art, images, and ideas that make the world feel different, even strange at times. As a team, we are always curious about new art and enjoy sharing the gems we stumble upon with our community. From photography to AI and code-based art, here are some of the works we have loved over the past few weeks. We hope you enjoy them as much as we do! ↓
0:25

Shout-out to the artist community We love art, images, and ideas that make the world feel different, even strange at times. As a team, we are always curious about new art and enjoy sharing the gems we stumble upon with our community. From photography to AI and code-based art, here are some of the works we have loved over the past few weeks. We hope you enjoy them as much as we do! ↓

Fellowship

28,756 görüntüleme • 3 ay önce

Step 1 : input your char reference, poster and your product into GPT Image 2 and then put the prompt : Use the woman on image 1 as the main subject. create a vertical poster ad inspired by the reference poster style. show the image 1 woman holding the kimchi jar with her left hand, while the right hand eating kimchi to her mouth. with framing wide lens, low angle from the reference poster. This step is where you lock the visual direction. Step 2 : take the generated image into Seedance 2.0 and convert it into motion. Set it to 1080p if your design includes a lot of typography, this helps preserve text clarity. You can also strengthen your prompt by adding keywords like: “dynamic motion design commercial advertisement” to push the result closer to a polished ad style. Important note : If your design contains heavy typography, expect some inconsistencies in text rendering. The best approach is to generate multiple variations and select the cleanest result. For this sample, I generated it 4 times before landing on the final version.
0:15

Step 1 : input your char reference, poster and your product into GPT Image 2 and then put the prompt : Use the woman on image 1 as the main subject. create a vertical poster ad inspired by the reference poster style. show the image 1 woman holding the kimchi jar with her left hand, while the right hand eating kimchi to her mouth. with framing wide lens, low angle from the reference poster. This step is where you lock the visual direction. Step 2 : take the generated image into Seedance 2.0 and convert it into motion. Set it to 1080p if your design includes a lot of typography, this helps preserve text clarity. You can also strengthen your prompt by adding keywords like: “dynamic motion design commercial advertisement” to push the result closer to a polished ad style. Important note : If your design contains heavy typography, expect some inconsistencies in text rendering. The best approach is to generate multiple variations and select the cleanest result. For this sample, I generated it 4 times before landing on the final version.

DStudioproject

11,413 görüntüleme • 3 ay önce