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Revisiting this game a few months later: (i) It's pretty impressive that general-purpose image generators can estimate meaningful depth from a single photo. (ii) Monocular depth remains pretty awful for 3D reconstruction! Here Gemini > GPT > Qwen. (At least I hope so!…🫣)

Keenan Crane

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34,217 views • 3 months ago •via X (Twitter)

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A preview of what's next, visualized with Rerun and PlayCanvas supersplat ✨ (Also, feel free to send me a DM 📩; I’ll be in San Francisco from July 21–29, and I'm looking to meet like-minded folks!) I'm convinced that Gaussian Splats will be an integral part of any data engine as an underlying representation. So I've started putting together a repo that: 1. Given a single image, perform image outpainting 🖼️🖌️ 2. Estimate a monocular depth map on the outpainted image 📏 3. Train a Gaussian Splat initialized from the monocular depth 🎓✨ 4. Warp to new views, perform inpainting on the missing masks -> Train new splat 🔄🎨 This is going to be integrated into exo-egoforge, but I wanted to start with the simple single-image version before moving to a multi-video implementation There's some weirdness in the final rerun visualization, but the trained splat looks great 🎉! This is all based on the very cool VistaDream paper ( .github.io/) More on this next week!

A preview of what's next, visualized with Rerun and PlayCanvas supersplat ✨ (Also, feel free to send me a DM 📩; I’ll be in San Francisco from July 21–29, and I'm looking to meet like-minded folks!) I'm convinced that Gaussian Splats will be an integral part of any data engine as an underlying representation. So I've started putting together a repo that: 1. Given a single image, perform image outpainting 🖼️🖌️ 2. Estimate a monocular depth map on the outpainted image 📏 3. Train a Gaussian Splat initialized from the monocular depth 🎓✨ 4. Warp to new views, perform inpainting on the missing masks -> Train new splat 🔄🎨 This is going to be integrated into exo-egoforge, but I wanted to start with the simple single-image version before moving to a multi-video implementation There's some weirdness in the final rerun visualization, but the trained splat looks great 🎉! This is all based on the very cool VistaDream paper ( .github.io/) More on this next week!

Pablo Vela

26,036 views • 1 year ago

idk what where this person is, and i know it's been almost a year, but i still cant help but watch this video and get extremely upset in general NOT AT THEM TO BE CLEAR, they can do whatever (and im pretty sure already did), but it's just sad to see that fade away from someone yk

idk what where this person is, and i know it's been almost a year, but i still cant help but watch this video and get extremely upset in general NOT AT THEM TO BE CLEAR, they can do whatever (and im pretty sure already did), but it's just sad to see that fade away from someone yk

Delta !!

23,657 views • 2 months ago

Taehyung sound bites from BTS comeback live is being used extensively by kmedia news channels. 🐯it’s been quite a while right? We waited so long for this moment, and now I really feel like it is 'finally' here! 🐯While it is Korean, the word ‘Arirang’ itself is very lovely and meaningful, and it has a lot of depth. So beyond that, there are also many things we can express through it.

Taehyung sound bites from BTS comeback live is being used extensively by kmedia news channels. 🐯it’s been quite a while right? We waited so long for this moment, and now I really feel like it is 'finally' here! 🐯While it is Korean, the word ‘Arirang’ itself is very lovely and meaningful, and it has a lot of depth. So beyond that, there are also many things we can express through it.

Taehyung Naver

14,150 views • 4 months ago

Some updates on the multiview vistadream pipeline with Rerun! Rerun came in extremely useful here, as being able to visualize depths at each stage of the pipeline allowed me to debug some nasty bugs. Since the last time, I was only working with a single image input. I've added in VGGT as my multiview pose + depth estimator. It works REALLY well for getting camera poses, but the depths are not that great. To try and fix that, I estimated depth maps from MoGeV2 for each of the views, and scale+shift aligned them so that they would match up to the confident sections of VGGT's depth predictions. You can see in the video just how much sharper the visualized 2d depth maps are! The biggest issue continues to be the multiview consistency 🫠 That's up next, along with actually training the Gaussian splat. Lots of work went into actually understanding inputs+outputs for VGGT. I had some funky bugs where the confidence values would all collapse to true I'm also really excited for this pipeline to use Difix3D+ Nvidia instead of Flux Inpainting, it seems like a better suited for a multiview pipeline.

Some updates on the multiview vistadream pipeline with Rerun! Rerun came in extremely useful here, as being able to visualize depths at each stage of the pipeline allowed me to debug some nasty bugs. Since the last time, I was only working with a single image input. I've added in VGGT as my multiview pose + depth estimator. It works REALLY well for getting camera poses, but the depths are not that great. To try and fix that, I estimated depth maps from MoGeV2 for each of the views, and scale+shift aligned them so that they would match up to the confident sections of VGGT's depth predictions. You can see in the video just how much sharper the visualized 2d depth maps are! The biggest issue continues to be the multiview consistency 🫠 That's up next, along with actually training the Gaussian splat. Lots of work went into actually understanding inputs+outputs for VGGT. I had some funky bugs where the confidence values would all collapse to true I'm also really excited for this pipeline to use Difix3D+ Nvidia instead of Flux Inpainting, it seems like a better suited for a multiview pipeline.

Pablo Vela

29,904 views • 11 months ago

I bet you've never noticed this ultra-cool but rather complicated "cone of prediction" at the center of Windows context menus? It allows the system to predict that you're aiming for a flyout. Well, that's because Windows (at least in the old days) didn't do any such fanciness. It just uses a timeout of 400ms, and it's always worked pretty well. It's even adjustable (SPI_SETMENUSHOWDELAY) these days, but used to just be 80% of your double-click speed setting. So the faster your reflexes were - per that setting, at least - the shorter your menu flyout allowance. No cone needed. ( I stole this from a Raymond Chen hockey card that I keep tucked up in my 50 Mission Cap ).

I bet you've never noticed this ultra-cool but rather complicated "cone of prediction" at the center of Windows context menus? It allows the system to predict that you're aiming for a flyout. Well, that's because Windows (at least in the old days) didn't do any such fanciness. It just uses a timeout of 400ms, and it's always worked pretty well. It's even adjustable (SPI_SETMENUSHOWDELAY) these days, but used to just be 80% of your double-click speed setting. So the faster your reflexes were - per that setting, at least - the shorter your menu flyout allowance. No cone needed. ( I stole this from a Raymond Chen hockey card that I keep tucked up in my 50 Mission Cap ).

Dave W Plummer

45,254 views • 5 months ago

Robots can now reconstruct 3D scenes in real time from a single RGB camera. [📍 Projects page + paper] No depth sensor. No retraining. 30 FPS. Researchers at the Imperial College London introduced KV-Tracker, a training-free method that makes heavy models like π³ and Depth Anything 3 fast enough for real-time tracking. The idea is simple. These models use global self-attention, which is powerful but computationally expensive. KV-Tracker caches the key and value pairs from selected keyframes and reuses them for new frames. That cache becomes an implicit scene representation. Result: • Up to 30 FPS • 10 to 15x speedup • Accurate 6-DoF tracking on benchmarks like TUM RGB-D and 7-Scenes • Works with monocular RGB only It also supports object-level tracking with masks and allows saving the KV-cache for later reuse. For robotics, this reduces hardware constraints and moves real-time 3D perception closer to practical deployment. Credit to Marwan Taher (Marwan Taher) at Imperial’s Dyson Robotics Lab and many others who contributed to this! 📍 Save projects page + paper for later: Video: ——- if it matters in AI or Robotics you'll read it here first:

Robots can now reconstruct 3D scenes in real time from a single RGB camera. [📍 Projects page + paper] No depth sensor. No retraining. 30 FPS. Researchers at the Imperial College London introduced KV-Tracker, a training-free method that makes heavy models like π³ and Depth Anything 3 fast enough for real-time tracking. The idea is simple. These models use global self-attention, which is powerful but computationally expensive. KV-Tracker caches the key and value pairs from selected keyframes and reuses them for new frames. That cache becomes an implicit scene representation. Result: • Up to 30 FPS • 10 to 15x speedup • Accurate 6-DoF tracking on benchmarks like TUM RGB-D and 7-Scenes • Works with monocular RGB only It also supports object-level tracking with masks and allows saving the KV-cache for later reuse. For robotics, this reduces hardware constraints and moves real-time 3D perception closer to practical deployment. Credit to Marwan Taher (Marwan Taher) at Imperial’s Dyson Robotics Lab and many others who contributed to this! 📍 Save projects page + paper for later: Video: ——- if it matters in AI or Robotics you'll read it here first:

Ilir Aliu

53,911 views • 3 months ago

✨ Every week a new AI model comes out and it suddenly makes my half broken features work a lot better Yesterday Seedream-4-Edit came out and it made my [ Hold product ] feature on Photo AI a lot better You can now go from: 🎁 Product photo -> 👱‍♀️ Talking video with your AI model while holding your product. In just a few minutes! Here's a photo I took from the weekly farm box we get in our kitchen, I set it as the product and then with Photo AI made it into a talking video where my trained AI model presents it It's not perfect, as the objects inside the farm box still move around a bit, but pretty close. If the product is more uniform (like lip gloss, a product box or a book) it does a pretty good job at keeping it exactly the same This "consistency" as they call it is quite important for actual real world use. Product sellers don't want to have an image or video of an AI model if the product doesn't look exactly the same as what they sell With that, I'm getting pretty close now and every week with every new model that comes out, a bit closer And it's interesting cause now I'm finally moving from B2C a bit more to B2B where businesses can use Photo AI more, designers and stores already use it for trying on clothes etc. but now they can generate content for real products! 😊 LIVE now on Photo AI

✨ Every week a new AI model comes out and it suddenly makes my half broken features work a lot better Yesterday Seedream-4-Edit came out and it made my [ Hold product ] feature on Photo AI a lot better You can now go from: 🎁 Product photo -> 👱‍♀️ Talking video with your AI model while holding your product. In just a few minutes! Here's a photo I took from the weekly farm box we get in our kitchen, I set it as the product and then with Photo AI made it into a talking video where my trained AI model presents it It's not perfect, as the objects inside the farm box still move around a bit, but pretty close. If the product is more uniform (like lip gloss, a product box or a book) it does a pretty good job at keeping it exactly the same This "consistency" as they call it is quite important for actual real world use. Product sellers don't want to have an image or video of an AI model if the product doesn't look exactly the same as what they sell With that, I'm getting pretty close now and every week with every new model that comes out, a bit closer And it's interesting cause now I'm finally moving from B2C a bit more to B2B where businesses can use Photo AI more, designers and stores already use it for trying on clothes etc. but now they can generate content for real products! 😊 LIVE now on Photo AI

@levelsio

361,558 views • 10 months ago

Selling candles on Etsy, Amazon, Shopify, or eBay? Then you know the struggle — product videos are expensive and a huge time sink. I tried Pollo AI's "Photo to Video Ads" feature right inside the Mobile APP with just one candle photo. A few minutes later, that single image turned into a cinematic, cozy video ad that looked ready to go live. No studio. No crew. No editing skills. All from my phone. At this point, Pollo Agent honestly feels like my creative team. AI-generated product ads are getting scary good.

Selling candles on Etsy, Amazon, Shopify, or eBay? Then you know the struggle — product videos are expensive and a huge time sink. I tried Pollo AI's "Photo to Video Ads" feature right inside the Mobile APP with just one candle photo. A few minutes later, that single image turned into a cinematic, cozy video ad that looked ready to go live. No studio. No crew. No editing skills. All from my phone. At this point, Pollo Agent honestly feels like my creative team. AI-generated product ads are getting scary good.

Aurelia Vance

33,828 views • 2 months ago

#JIHYO’s opening message at the Kiwoom Heroes vs. Lotte Giants game: “Hello, I'm Jihyo from TWICE. It's an honor for us to be here today to throw the ceremonial first pitch and first hit on this meaningful day, brought together by the Kiwoom Heroes and Bumin Hospital I hope all the players stay healthy and give us a great game” JIHYO FIRST PITCH #JIHYOxKiwoomHeroes

#JIHYO’s opening message at the Kiwoom Heroes vs. Lotte Giants game: “Hello, I'm Jihyo from TWICE. It's an honor for us to be here today to throw the ceremonial first pitch and first hit on this meaningful day, brought together by the Kiwoom Heroes and Bumin Hospital I hope all the players stay healthy and give us a great game” JIHYO FIRST PITCH #JIHYOxKiwoomHeroes

JIHYO GLOBAL UNION

30,973 views • 1 month ago

+113k No words can describe the month that I had to be honest and all I can thank is God and the relations that I have made. To say that 3 months ago I went from -3k -> 5.6k -> 23k to now is just so amazing for me. Im happy with the turnout of every single day as well as I can't thank 67FnF anymore and all the boys that are in there 30-1 pretty damn happy and my 1 off day is the day after I ended a 4-year relationship so i'm happy to say I kept my head down and kept grinding. To 2026, i'm happy to be in the circle I am and good luck to everyone in this Q1 Cycle!

+113k No words can describe the month that I had to be honest and all I can thank is God and the relations that I have made. To say that 3 months ago I went from -3k -> 5.6k -> 23k to now is just so amazing for me. Im happy with the turnout of every single day as well as I can't thank 67FnF anymore and all the boys that are in there 30-1 pretty damn happy and my 1 off day is the day after I ended a 4-year relationship so i'm happy to say I kept my head down and kept grinding. To 2026, i'm happy to be in the circle I am and good luck to everyone in this Q1 Cycle!

Cottage

59,235 views • 7 months ago

And while so many of you are treating the fanchant like it‘s a way to give “credit” (which isn’t the purpose of a fanchant AT ALL) I hope the majority remember what ENHA themselves shared in the Blood Saga behinds. They talked about how intense the preparation for this tour was—from having to rearrange songs, relearn formations and rework choreography. These 6 poured their blood, sweat, and tears into making sure ENGENEs would have an amazing experience despite everything that has happened these past few months. Put fanwars, engagement, and number games aside. When you walk into that venue and see those 6 giving everything they have on stage, I hope it reminds you that the least we can do is respect and support the current lineup in front of us.

And while so many of you are treating the fanchant like it‘s a way to give “credit” (which isn’t the purpose of a fanchant AT ALL) I hope the majority remember what ENHA themselves shared in the Blood Saga behinds. They talked about how intense the preparation for this tour was—from having to rearrange songs, relearn formations and rework choreography. These 6 poured their blood, sweat, and tears into making sure ENGENEs would have an amazing experience despite everything that has happened these past few months. Put fanwars, engagement, and number games aside. When you walk into that venue and see those 6 giving everything they have on stage, I hope it reminds you that the least we can do is respect and support the current lineup in front of us.

Trinᥫ᭡

13,821 views • 1 month ago

introducing a new, very fun, LLM benchmark- the Game-of-Life Bench! the rules are simple: given an 8x8 grid following Conway's game of life rules, the goal is to create an initial pattern with at most 32 cells that can last the longest number of turns before dying/repeating. some results to highlight (with caveats detailed below): - gpt 5.1 lasts the longest with a 106 step run - claude models are really bad at this! they refuse to reason about this task and score < 25 points - deepseek r1 is the best open model with 102 steps. why? because i wanted to create a benchmark that has (i think) no practicality, but is still fun to look at, cheap, and still measures something interesting. i also am a big fan of the game of life. its absurdly simple rules leading to intractability is extremely cool to me. also, i saw a lot of work with LLMs trying to "predict" the next state in Conway's game of life, I think game-of-life bench is more fun because it's pretty open ended and only asks the LLM for the initial state. I also think this could be an RL env? but idk why you would ever train on this task haha i don't think this is a "serious" benchmark because it doesnt measure anything practical, but i still think it's a hard benchmark exactly because you can't predict what happens with your initial state many turns into the future; this is why i was initially expecting all LLMs to be bad at it, but turns out, some are clearly better than the others (the ordering may surprise you!) reminder: this is still a work-in-progress; (1) i am gpu-poor so could only do 10 runs for each model, even though total running cost is relatively low. maybe with some more credits i can run more seeds for each model. (2) i handpicked models which i think are at the frontier right now, plus some others that were on my mind. so, if you'd like to see a model on here, let me know. (3) i currently only do an 8x8 grid because i thought that by itself would be pretty hard for current LLMs, but of course we can increase grid sizes! (4) the coolest thing is, i dont think we can calculate the max possible number of states (yay undecidability!) you can go without repeating, so this is essentially a no-ceiling task, which is pretty cool! again, i did this mostly out of a desire to make LLMs do something fun. if this keeps me entertained for a few more days, i'd likely release a blog post on it. if it keeps me entertained for a week (and someone sponsors me), i'll put more work into it :P lastly, this is fully open sourced, so feel free to run this on your own!

introducing a new, very fun, LLM benchmark- the Game-of-Life Bench! the rules are simple: given an 8x8 grid following Conway's game of life rules, the goal is to create an initial pattern with at most 32 cells that can last the longest number of turns before dying/repeating. some results to highlight (with caveats detailed below): - gpt 5.1 lasts the longest with a 106 step run - claude models are really bad at this! they refuse to reason about this task and score < 25 points - deepseek r1 is the best open model with 102 steps. why? because i wanted to create a benchmark that has (i think) no practicality, but is still fun to look at, cheap, and still measures something interesting. i also am a big fan of the game of life. its absurdly simple rules leading to intractability is extremely cool to me. also, i saw a lot of work with LLMs trying to "predict" the next state in Conway's game of life, I think game-of-life bench is more fun because it's pretty open ended and only asks the LLM for the initial state. I also think this could be an RL env? but idk why you would ever train on this task haha i don't think this is a "serious" benchmark because it doesnt measure anything practical, but i still think it's a hard benchmark exactly because you can't predict what happens with your initial state many turns into the future; this is why i was initially expecting all LLMs to be bad at it, but turns out, some are clearly better than the others (the ordering may surprise you!) reminder: this is still a work-in-progress; (1) i am gpu-poor so could only do 10 runs for each model, even though total running cost is relatively low. maybe with some more credits i can run more seeds for each model. (2) i handpicked models which i think are at the frontier right now, plus some others that were on my mind. so, if you'd like to see a model on here, let me know. (3) i currently only do an 8x8 grid because i thought that by itself would be pretty hard for current LLMs, but of course we can increase grid sizes! (4) the coolest thing is, i dont think we can calculate the max possible number of states (yay undecidability!) you can go without repeating, so this is essentially a no-ceiling task, which is pretty cool! again, i did this mostly out of a desire to make LLMs do something fun. if this keeps me entertained for a few more days, i'd likely release a blog post on it. if it keeps me entertained for a week (and someone sponsors me), i'll put more work into it :P lastly, this is fully open sourced, so feel free to run this on your own!

Akshit

13,722 views • 5 months ago

Today I will send my last appeal, I'm just done with YouTube. I'm completely burned out. After fighting for months to save my 13-year-old Panzer Picture channel from that ridiculous false "Child Sexual Abuse" flag, I pretty much lost all hope it's ever coming back. Bigger channels stay silent, when so many channel are being removed for CP and Sexual abuse, I can tell you, your time will come. The stress has been brutal on my health (Crohn’s hasn’t helped). If you're still here and believe in preserving WW2 history, a like or RT would mean the world right now. Thank you for not forgetting ❤️ #RestorePanzerPicture #WW2History #YouTubeCensorship

Today I will send my last appeal, I'm just done with YouTube. I'm completely burned out. After fighting for months to save my 13-year-old Panzer Picture channel from that ridiculous false "Child Sexual Abuse" flag, I pretty much lost all hope it's ever coming back. Bigger channels stay silent, when so many channel are being removed for CP and Sexual abuse, I can tell you, your time will come. The stress has been brutal on my health (Crohn’s hasn’t helped). If you're still here and believe in preserving WW2 history, a like or RT would mean the world right now. Thank you for not forgetting ❤️ #RestorePanzerPicture #WW2History #YouTubeCensorship

Panzerpicture

117,339 views • 1 month ago

JADE gets emotional reflecting on her North American tour in a new TikTok: “I’m having so much fun on this tour. I just feel so grateful that I’m getting to do this at this point in my career. The fact that I get to tour [North America] after being in the industry for 15 years, and only now just getting to do my own headline tour, is incredible. It’s been a long time coming. What’s really beautiful about these shows is that when I look into the audience, I recognise so many of the fans here from back in the day, who’ve literally waited for years – like me! – for this moment. It just makes me feel so loved and supported to know people have believed in me enough to stick around for years waiting for this to happen. Anyone that’s bought a ticket, dressed up, made their own costumes… It’s just such a lovely, beautiful thing. I hope they can see when I’m on stage just how much that means to me, and how much I love performing and putting on the best show that I possibly can every single night. I will never ever take it for granted. I’m just so chuffed that I get to do this for a living… be a silly pop girlie, write and create music that brings people – and myself – a lot of joy… Thank you for believing in me. I literally get on the bunk on my bus most nights from the tour and just lie there like, ‘Oh my god! As if this is my life!’ It means a lot. I hope I get to do this for the rest of my life… Full of gratitude and lots of all the lovely emotions. Thank you so much.”

JADE gets emotional reflecting on her North American tour in a new TikTok: “I’m having so much fun on this tour. I just feel so grateful that I’m getting to do this at this point in my career. The fact that I get to tour [North America] after being in the industry for 15 years, and only now just getting to do my own headline tour, is incredible. It’s been a long time coming. What’s really beautiful about these shows is that when I look into the audience, I recognise so many of the fans here from back in the day, who’ve literally waited for years – like me! – for this moment. It just makes me feel so loved and supported to know people have believed in me enough to stick around for years waiting for this to happen. Anyone that’s bought a ticket, dressed up, made their own costumes… It’s just such a lovely, beautiful thing. I hope they can see when I’m on stage just how much that means to me, and how much I love performing and putting on the best show that I possibly can every single night. I will never ever take it for granted. I’m just so chuffed that I get to do this for a living… be a silly pop girlie, write and create music that brings people – and myself – a lot of joy… Thank you for believing in me. I literally get on the bunk on my bus most nights from the tour and just lie there like, ‘Oh my god! As if this is my life!’ It means a lot. I hope I get to do this for the rest of my life… Full of gratitude and lots of all the lovely emotions. Thank you so much.”

JADE tea room ☕️

47,114 views • 5 months ago

In the past week, I was able to build the following games: - An endless runner - A tower defense - A Mario Party-like mini-game - An arena-based shooter The key unlock here was the ThreeJS skill With Opus 4.5 & GPT 5.2 - Claude Code / Codex CLI have much better end results now. With each game, I continued to update the skill based on bugs and issues faced - so it progressively got better and better at building the gameplay I was looking for. I've been doing this for a while now - and I can say that the leap in building games with vibe coding is real.

In the past week, I was able to build the following games: - An endless runner - A tower defense - A Mario Party-like mini-game - An arena-based shooter The key unlock here was the ThreeJS skill With Opus 4.5 & GPT 5.2 - Claude Code / Codex CLI have much better end results now. With each game, I continued to update the skill based on bugs and issues faced - so it progressively got better and better at building the gameplay I was looking for. I've been doing this for a while now - and I can say that the leap in building games with vibe coding is real.

Chong-U

264,966 views • 7 months ago

John Daly II shot a bogey free 5 under par 67 in the 2nd round of the Puerto Rico Open to be T7 heading to the weekend on his PGA Tour debut. He said after the round: “It's awesome. This place has always been one of my favorites, like I said earlier, to come watch my dad play back in the day, so it's pretty cool to make it to the weekend.” He said about being in contention: “Honestly, go out there and try to go a low as I can. I got nothing to lose, so just go out there and have fun and just keep doing what I'm doing.” What happens at the weekend, this is a really impressive PGA Tour debut 👏 PGA TOUR

John Daly II shot a bogey free 5 under par 67 in the 2nd round of the Puerto Rico Open to be T7 heading to the weekend on his PGA Tour debut. He said after the round: “It's awesome. This place has always been one of my favorites, like I said earlier, to come watch my dad play back in the day, so it's pretty cool to make it to the weekend.” He said about being in contention: “Honestly, go out there and try to go a low as I can. I got nothing to lose, so just go out there and have fun and just keep doing what I'm doing.” What happens at the weekend, this is a really impressive PGA Tour debut 👏 PGA TOUR

Flushing It

1,010,187 views • 5 months ago

✨ I can now generate 3d assets for my drone sim at directly from Cursor (sponsor of #vibejam) I need buildings that you'd see in a war torn city, like warehouses in ruins, broken down abandoned houses, bombed out bridges etc. Nano Banana Pro or 2 can generate them really well and then you can put them in an image-to-3d model and you get a GLB or FBX That one you can then import into your Three.js game, the models might be big though, in my case like 16MB, so I ask it to compress it and make it more low poly so it loads fast ThreeJS then loads the individual GLBs on page load and puts them in my drone sim somewhere randomly, I think I should remove some of the grass and match the sandy color of the ruins though to make it fit in more

✨ I can now generate 3d assets for my drone sim at directly from Cursor (sponsor of #vibejam) I need buildings that you'd see in a war torn city, like warehouses in ruins, broken down abandoned houses, bombed out bridges etc. Nano Banana Pro or 2 can generate them really well and then you can put them in an image-to-3d model and you get a GLB or FBX That one you can then import into your Three.js game, the models might be big though, in my case like 16MB, so I ask it to compress it and make it more low poly so it loads fast ThreeJS then loads the individual GLBs on page load and puts them in my drone sim somewhere randomly, I think I should remove some of the grass and match the sandy color of the ruins though to make it fit in more

@levelsio

134,777 views • 3 months ago

i tried Framer Agent to build a brand guidelines website template, something i've meant to do for a while. a site i can swap a logo, nudge a colour, update the type, and send a link instead of re-exporting a pdf nobody opens. a few observations on the AI process: - i started with references. pulled together a handful of minimalist grid layouts and had Claude describe the visual style back to me. you can do the same inside Framer, feeding it the references directly. - from there i had it write a detailed prompt aimed at that exact style, then asked it to break it into a few smaller steps. then i fed those into the agent, one at a time. - the scaffolding stage is the satisfying part. for something this grid-driven (the columns, the spans, the whole underlying structure) watching it land in seconds is hard to look away from. - but then i still have to sweat the details: text alignment, line-heights, image sizes. i don't mind it at all; it's the part i like, making these design decisions. the strength of the agent is the mundane work. point it at the stuff that eats your time: cleaning up the build, adding responsiveness, dropping in small effects, checking text and colour styles stay consistent, writing alt text for every image. then i get the time back for the parts of web design that are actually fun. 🤝

charlota

34,421 views • 1 month ago