Just released my first Blender add-on / Python package... ever. ✨ Introducing BlenderSpike ✨ Bring simulation results from NEURON into Blender to create stunning biophysically realistic animations of neuron activity using matplotlib colormaps 🌈show more

What’s in my bag? 🎀✨ It’s more than just... a question — it’s a glimpse into imagination and creativity. This entire visual was created using GPT Image 2 × Seedance 2.0 on Pollo AI Mobile App 🤖✨ No photoshoot, no setup — just an idea turned into a stunning visual reality. From everyday thoughts to aesthetic storytelling, AI is changing the way we create content. Now it’s your turn — imagine your own version and bring it to life ⬇️show more

ITALIAN PENICILLIN SOUP 🤒🥕✨ Italian penicillin is a nickname... for patina soup, because it’s believed to make you feel better, since it’s packed with nourishing ingredients. It’s a perfect comfort food, and is often eaten to ward off a cold. ✨6 cups broth ✨4 carrots ✨2 stalks celery ✨1 onion ✨4 garlic cloves ✨2 sprigs Rosemary ✨1 cup pasta ✨juice from 1 lemon (optional) ✨1 cup pastina pasta ✨fresh parsley ✨salt and pepper to taste Combine broth, carrots, celery, onion, garlic and rosemary to a pot and bring to a boil. Reduce to a simmer and cook for 20-25 minutes Remove the rosemary sprigs. Take out veges along with 1 cup of broth and add to a blender; blend until smooth. Pour blended veggies back into the pot with the remaining broth and stir to combine. Season with salt, pepper and lemon juice (optional)show more

Create your city inside LovartAI ✨ Just change the... names in the prompt and watch Nano Banana 2 make it real. 👀 🚨 Prompt Drop ⤵️ A street-style printed map of [ YOUR CITY ] placed on a clean light wood table, with a photorealistic miniature version of [ YOUR CITY ] emerging from it, featuring [ INSERT THE MAIN TOURIST ATTRACTIONS AND ANY CUSTOM ELEMENTS YOU WANT TO ADD ]. All elements rise organically from the map surface, forming a highly detailed 3D urban diorama. Buildings align precisely with the printed streets. Studio soft lighting, cinematic depth of field, ultra-realistic textures, clean atmosphere, premium travel photography aesthetic.show more

I've been editing this article about "brain mapping" and... connectomics, and I'm just stunned by how quickly the cost estimates to map, say, a mouse brain have plummeted in just the last couple years. It actually seems feasible that we could map the entire human brain -- all 86 billion neurons, and their connections -- in this lifetime. In the 1970s, Sydney Brenner started mapping all the connections between neurons in C. elegans. His team sliced the worm into thin pieces, took photos using an electron microscope, and manually traced and reconstructed each synapse for 302 neurons total. This project took more than a decade of work, and it cost about $16,500 to reconstruct each neuron. Scaling this up to a human brain boggles the mind. Electron microscopy remained the norm in connectomics for decades, because it was the only option available to see synapses at a resolution high enough to be able to trace their paths. Each electron microscope costs several hundreds of thousands of dollars, though, and you need lots of them to map even a mouse brain in a reasonable timeframe. In 2023, the Wellcome Trust released a report estimating how long, and how expensive, it would be to map the mouse connectome (~70M neurons). They estimated that imaging alone would cost $200-300M, and that proofreading (or ensuring that traces between neurons are correct) would cost $7-21 BILLION. (A human can only manually trace about 1 mm of neuron per hour.) Also, the images would occupy about 500 petabytes of data, and getting those data would require 20 electron microscopes running in parallel for about 5 years, continuously. They estimated the whole project would take about 17 years of work. This is, understandably, insane. But now it seems like there's an actual path toward mapping the full mouse brain in about five years for ~$100M dollars. There have been three major breakthroughs in the last year or so: 1/ Expansion microscopy, first developed in 2015, showed that it's possible to "enlarge" the brain by about 5x using a swellable polymer. But an improved method increases this number to >20x expansion, meaning we can now expand brains and image neurons much more easily using cheap light microscopes, rather than expensive electron ones. 2/ E11 Bio (a nonprofit research org) developed protein barcodes that get delivered into brain tissue; each neuron gets a unique combination of barcodes. These cells are then stained with colorful antibodies, which stick to a matching protein barcode, causing each neuron to light up in a distinct color. This makes tracing neurons so much easier. 3/ Google Research released PATHFINDER this May, an AI-based neuron tracing tool that can proofread about 67,200 cubic microns of brain tissue per hour, with very high accuracy. It works on electron micrographs, but something similar could be presumably be developed for the E11 / colorful tag approach. This is an extremely exciting time for neuroscience. (C. elegans connectome below.)show more

One trick we discovered for avoiding realistic face moderation... issues in Seedance 2.0 is using character turnaround sheets (front / side / back views). The first video is one of our experiment results — and it runs successfully. We’ve now integrated character turnarounds directly into our workflow + canvas system: 1. If your artwork was generated on our site, you can drag the image into the canvas directly from the Assets tab 2. Click the “Character Turnaround” button above the image to automatically generate a 3-view turnaround sheet 3. Create a new video node and use the turnaround sheet directly with Seedance 2.0 inside the workflow I’ve shared the workflow link in the comments if you want to explore the exact prompts, setup, and workflow details.show more

Nothing hits quite like that first sip of a... frosty Orange Julius! 🍊✨ Whether you’re hit with mall nostalgia or just need a summer cool-down, this 1970s "lost" recipe is the real deal. It’s creamy, frothy, and way better than the version you remember. ​🍊 The OG Orange Julius (1970s Vintage Recipe) ​Forget the food court—we’re bringing the sunshine to your kitchen. This is the perfect blend of citrus and cream that’ll transport you straight back to the 70s. ​Ingredients ​1 (12 oz) can frozen orange juice concentrate (partially thawed) ​1 cup milk ​1 cup water ​1/3 cup sugar ​1 tsp vanilla extract ​12 ice cubes ​Instructions ​Layer it up: Add all ingredients into the blender. Start with the liquids (OJ, milk, water, vanilla), then add the sugar and ice. ​Blitz it: Secure the lid and blend on high until the mixture is thick, smooth, and perfectly frothy. ​Serve: Pour into tall glasses and garnish with an orange slice for those aesthetic vibes. ​💡 Pro-Tip: Want to turn it into a "Sunset Punch"? Add a splash of vodka for an adult version of this classic treat! 🍹 (Note: This will increase the calorie count, but hey—it’s a party!)show more

🧵✨ Kontext Thread Challenge 🧵✨ This month, we’re planning... a special challenge with TZ APAC! We want to see how far you can take Flux.1 Kontext for transformations. Not just character consistency, but style, mood, and/or story evolution and make a thread about your creative process! Mission: Pick 1 base character or portrait → use Kontext to transform it across 4 different vibes. Some examples: 🔸Normal → Cyberpunk → Fantasy Armor → Pixar-style 🔸Morning → Golden Hour → Neon Night → Black-and-white Film Noir 🔸Casual Outfit → Royal Costume → Spacesuit → Streetwear 🔸Or add/remove things from your initial pictures that give 4 different results Here’s how to enter: 1️⃣ Start your thread with your base/reference image. 2️⃣ Post each new render as a reply. 3️⃣ Explain your steps (prompt choices, edits, tweaks). 4️⃣ Finish with a collage/carousel of all 4 images together. To qualify, make sure to: ✅ Use to create ✅ Use only Flux.1 Kontext ✅ Add your prompt settings in each post ✅ Include the mention "Flux.1 Kontext on Sogni" in your first tweet ✅ Mention your Sogni username ✅Tag Sogni.ai, TZ APAC & Tezos on your pictures 🏆 Prizes 5 winners will share: ✨ 25,000 Premium Sparks ✨ $500 in SOGNI tokens ✨ $500 in tez (XTZ) ℹ️ Winning threads may also be featured across Sogni platforms (with full credit to you). 📅Deadline: Oct 3 (1PM UTC)show more

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

A viral paper "Language Model Represents Space and Time"... recently claims that LLMs learn "world models". As much as I like Max Tegmark's works, I disagree with their definition of world model. World model is a core concept in AI agent and decision making. It is our mental simulation of how the world works given interventions (or lack thereof). A world model captures causality and intuitive physics, telling the agent what is likely and what is impossible. It can and should be used for counterfactual reasoning, i.e. "what ifs": what would happen if I knock over a cup of water? Where would I have been if I had not taken that bus? Yann LeCun Yann LeCun says it well in his position paper ( I quote: "Using such world models, animals can learn new skills with very few trials. They can predict the consequences of their actions, they can reason, plan, explore, and imagine new solutions to problems. Importantly, they can also avoid making dangerous mistakes when facing an unknown situation." The first use of the term World Model in deep policy learning is attributed to hardmaru & Jürgen Schmidhuber: In their seminal paper, an agent masters shooting skills in the popular game Doom (demo below) by learning in imagination, using an internal world model as a "physics simulator". To put in a simple Python math formula, world model learns a function F(s[0:t-1], a) -> s[t:], which takes as input the observed past and current action, and outputs plausible future states. Now the definition of World Model in Tegmark's paper seems to be about predicting GPS coordinates and time eras. I see this as just a classification task with no causal learning and simulation going on. You cannot make meaningful interventions against that model, nor can you optimize any decision making in a closed feedback loop. As for the "space & time neurons", I think they are most similar to the "sentiment neuron" that OpenAI published in 2017: Predicting GPS is conceptually no different from predicting sentiment in my opinion. I don't think their experimental results are wrong - just that their conclusion is on shaky grounds. I welcome any debate! Paper link:show more

【 VRoidはいいぞ！】 Seems like there’s a VRoid showcase trend... going around after someone spoke badly about VRoid in the jp community hahaaha It has been 1.5 years since I made Fidgey’s 3D model with VRoid Studio (completed in Aug 2024) and it’s still one of the best I ever made so far with VRoid! Until now, I still get inquiries from people asking if it’s possible to make their models like Fidgey’s 😭😭 Fidgey is currently on a indefinite hiatus but I hope life has been kinder to her since then and that she knows how her single commission has actually propelled my career forward 🫶 Also, I recently just found out that the making video of Fidgey’s model is the first of mine to surpass 50k views on YT!! 🎉💚 (side note: the antennae and tail were made in blender tho)show more

📢 Our lab has been exploring 3D world models... for years — and we’re thrilled to share **PhysTwin**: a milestone that reconstructs object appearance, geometry, and dynamics from just a few seconds of interaction! Led by the amazing Hanxiao Jiang 👉 PhysTwin combines **Gaussian splatting** with **inverse dynamics optimization** based on simple **spring-mass** systems. ⚙️ The result? Real-time, action-conditioned 3D video prediction under novel interactions (i.e., 3D world models). 🔑 A few key takeaways: 1. Having the right structure (e.g., particles/masses) helps navigate the trade-off between sample efficiency, generalization, and broad applicability. 2. Visual foundation models (VFMs) have matured to the point where they can provide rich supervision for world modeling (e.g., tracking, shape completion). 3. Beyond VFMs, many crucial components have come together in recent years: Gaussian splats for rendering, NVIDIA Warp for high-performance simulation, and scene/asset generation from a wide range of labs and companies. The future of 3D world models is looking bright! ✨ 4. The resulting digital twin supports a wide range of downstream applications—especially in data generation and policy evaluation, thanks to its realistic rendering and simulation capabilities. 🎥 All code and data to reproduce the results, along with interactive demos, are available on the website. Check the following visualizations of: (1) observations, (2) reconstructed state/actions, (3) interactive digital twins, and (4) the overlays between real-world robot teleoperation and our model’s open-loop predictions.show more

I started in video games, spent 12 years in... Hollywood, then walked away in 2020— still in my late 30s and considered one of the best digital matte painters and concept artists in the industry. Worked on The Hunger Games, The Mandalorian, Westworld, Game of Thrones, Hugo, The Amazing Spider-Man, and 5 Fast & Furious films, etc. Over 30 credits to my name. Now I watch my friends panic about AI taking their jobs. But I’ve seen this before. Old-school matte painters hated us when we moved from glass to digital. We were “ruining the craft.” Now my generation is doing the same thing with AI instead of embracing it. Here’s the truth: AI won’t make Hollywood bigger. It’ll make it better. For the first time, creative people don’t need permission, budgets, or gatekeepers to bring ideas to life. Small teams. Less suits. More originality. This feels like when I first opened Photoshop—with one layer. We’re early. And in the end, more people will create than ever before. The process changed but the results will be better imo. For example, I spent 3 months on this matte painting. Now with ai, it can be done in 2 weeks. 👇🏽show more

Still using AI tools that can’t turn your ideas... into real apps? Most tools can write bits of code but fail when it’s time to actually build something complete. That’s where Replit ⠕ changes everything. I just asked Replit: “can you redesign this website in professional way.." In minutes, it built the entire website— clean design, full logic, animations, and dark/light mode included. No setup. No debugging. Just pure vibe coding. Here’s why Replit stands out 👇 ✅ Build with plain English – Describe what you want, Replit builds it. ✅ All-in-one platform – Code, AI help, hosting, database, and auth in one place. ✅ Create anywhere – Use the Replit mobile app on iOS or Android. ✅ Instant integrations – Connect to Notion, Slack, Google Drive, Dropbox, and more. ✅ From design to live app – Import from Figma and launch in minutes. No chaos. No micromanaging. Just you, your idea, and Replit doing the hard work. 👉 Try it now: 🎁 Get $10 credit when you purchase Replit Core via my link: #Replit #VibeCoding #AIApps #NoCode #BuildWithReplit #AItools #ReplitCoreshow more

🪂 Yoki Origins Rewards: A Big Thank You to... Our Community! ​ We are thrilled to announce the successful completion of our Yoki campaign and the upcoming rewards for all our dedicated participants. ​ Read on for Part 1 of Next Steps ​ We want to extend a heartfelt thank you to everyone who participated and helped us spread the word, near and far, about our Astar zkEVM Layer 2. Your enthusiasm and support have been invaluable to the success of the Yoki Origins campaign. ​ ✨ Campaign Highlights ​ In total, over 3M Yoki related NFTs were minted! We are excited to share the breakdown: ​ 🔸 OMA Minted: A total of 2.1M OMA tokens were successfully minted during the campaign. 🔸 Capsules Minted: 434K capsules distributed. 🔸 Basic Yoki Minted: 388K magical Yoki brought to life. 🔸 Yoki Fused: 118K Yoki were fused to create a new one. 🔸 Unique Users: Over 58K unique users participated in the campaign, contributing to its overwhelming success. ​ ✨ Eligibility & Other Criteria ​ To understand the upcoming rewards, the following criteria was used to determine who would be eligible for the airdrop and in what quantity: ​ 💥 Fused Yoki: At least 6 “Fused Yoki” from different species of base Yoki. Ex: 1 Base Fox and 1 of its fusions counts as a single “Fused Yoki” ​ To calculate the rewards, we took into consideration the following points: ​ ⛽ Gas Consumption: The amount of ETH the user used in order to mint the Yoki related NFTs. 🔮 Lore Points: Accumulated points during the campaign and boost. 🌱 Early Adopter: A user who joined the campaign prior to and at the time of the first Yoki Origins snapshot. ​ ✨Vesting Schedule - Starting from July ​ The rewards will be distributed over a period of three months to ensure a fair and stable release: ​ 1️⃣ Claim 1: The first 50% of the rewards will be released. 2️⃣ Claim 2: An additional 25% will be released. 3️⃣ Claim 3: The remaining 25% will be released. ​ 📻 Stay tuned for the final Part 2 which will contain the last details.show more

I still can’t believe it… I just had my... first Hi-Bye with them. 💗😇 You have no idea how beautiful these two are. The moment they recognized me, my whole heart just melted. And the way #Ormkornnaphat said “hi”… you could feel it came straight from her heart. In that moment, I realized how much I treasure this experience and how truly happy I am. 💗 For a moment, I even forgot the pain from my ankle surgery that’s how powerful this feeling was, how healing their presence can be. You can’t imagine I’ve worked with so many celebrities in my career, but feeling like a fan… this is rare. Something magical. Something beautiful. And I’m grateful to be a part of this journey. These two are now standing on a global stage, and for me, it will always be an honor to say: I’m proud that I know both of you. And who knows… maybe one day I’ll say, “I worked with both of you.” ✨ Thank you, my longwaytogo. And thank you, #LingOrm, for allowing me to meet such amazing people, such a warm group, such a rare community. And thank you for simply existing in a world that desperately needs a little more love, a little more light, a small touch of joy to remind us that happiness still lives here. I truly appreciate every tiny second of this. ✨💗 LINGORM MACAU MEET D1 #LingOrm3rdMeetMacauD1 #หลิงออม orm kornnaphat🌈 linglingsirilakshow more

Boom! Grok Tasks Make It One Of The Most... POWERFUL Real-Time AI Systems In The World. — My How to Use Grok Tasks With Hidden Tools For Powerful Daily Output. Grok Tasks are customizable AI workflows that integrate a variety of tools to streamline daily activities, from research and analysis to creative planning and problem-solving. I have been using them for quite sometime and because of the vital heartbeat of news and first person data on X, it is the most powerful AI platform available. By combining Tasks with tools like web searches, X platform interactions, code execution, and media viewers, you can build efficient, automated processes. These tasks work by prompting Grok with a clear description of what you want to achieve, and Grok will intelligently call the necessary tools in sequence or parallel to deliver results. Here's a step-by-step guide to creating and using Grok Tasks: Step 1: Define Your Task Start by clearly outlining the daily activity or goal. Consider what inputs you have (e.g., a URL, a query, or an attachment) and what output you need (e.g., a summary, calculation, or visual analysis). Break it down into subtasks to identify tool needs. For example, if your task involves researching current events, note that you'll need search and browsing capabilities. Step 2: Review Available Tools Familiarize yourself with the tools Grok can access. Here's a quick overview: - Code Execution: Run Python code for calculations, data processing, or simulations using libraries like numpy, pandas, or sympy. - Browse Page: Fetch and summarize content from any website URL with custom instructions. - Web Search: Perform general internet searches, returning results with optional operators like site:. - Web Search With Snippets: Get quick, detailed excerpts from search results for fact-checking. - X Keyword Search: Advanced search for X posts using operators like from:, since:, or filter:. - X Semantic Search: Find semantically related X posts based on a query, with filters for dates or users. - X User Search: Locate X users by name or handle. - X Thread Fetch: Retrieve a full X post thread, including context like replies and parents. - View Image: Analyze an image from a URL or conversation ID. - View X Video: Extract frames and subtitles from an X-hosted video. - Search PDF Attachment: Query a PDF file for relevant pages using keyword or regex modes. - Browse PDF Attachment: View specific pages of a PDF with text and screenshots. Select tools that align with your task. Aim for a mix to handle data gathering, processing, and visualization. Step 3: Craft Your Prompt Write a detailed prompt to Grok describing the task. Include: - The overall goal. - Specific steps or subtasks. - References to tools if you want to guide the process (e.g., "Use web_search to find sources, then code_execution to analyze data"). - Any constraints, like dates or limits. Example prompt: "Create a Grok Task for my morning routine: Search recent X posts about tech news using x_keyword_search, fetch a key thread with x_thread_fetch, and summarize with browse_page on linked articles." Step 4: Submit and Interact Send your prompt to Grok. It will process the task by calling tools as needed, often in parallel for efficiency. Review the output and refine with follow-up prompts if required (e.g., "Expand on that using view_image for visuals"). Iterate to fine-tune the workflow for reuse. Step 5: Save and Reuse Once refined, note the prompt as a template for future use. You can adapt it for similar tasks, making Grok Tasks a habitual part of your day. Finding Grok Tasks To discover existing Grok Tasks or inspiration for new ones, use X searches with tools like x_keyword_search or x_semantic_search (e.g., query: "Grok Tasks examples" with mode: Latest). Browse community-shared threads via x_thread_fetch, or web_search for tutorials on xAI features. Prompt Grok directly: "Show me popular Grok Tasks for productivity." 1 of 3show more

Ever wanted to enter the TV during a match?... Made this video using Seedance 2.0 on Picsart Try here: prompt First-person POV from a comfortable reclining armchair in a cozy modern living room decorated with elegant baby-pink accents. Soft baby-pink cushions, a pastel pink knitted blanket, subtle blush décor, and warm neutral furniture create a stylish modern aesthetic. From the very first frame, a large wall-mounted television directly ahead is already broadcasting a live Argentina vs Spain football match in full swing. Soft golden afternoon sunlight pours through the windows, filling the room with a warm, inviting match-day atmosphere. The viewer's legs are stretched out comfortably while wearing casual shorts, enjoying the game from a relaxed position. Authentic British football commentary and realistic crowd ambience naturally play from the television. At 0:02, a beautiful young woman wearing a fashionable baby-pink casual shorts outfit with white sneakers enters from the right side of the frame. Her hair is styled in a neat half-French braid that moves naturally with every step. She is a neutral football fan, supporting neither team. She notices the intensity of the Argentina vs Spain match, smiles with excitement, then suddenly accelerates into a sprint across the living room. At 0:04, she runs directly toward the television. The camera remains perfectly stable in a first-person perspective without shaking or zooming. At 0:05, she leaps directly into the television screen in one continuous motion. No cuts, no edits, no transitions. As she reaches the display, the entire living room organically dissolves into a gigantic international football stadium hosting Argentina vs Spain. The television audio naturally expands into an overwhelming live stadium atmosphere while maintaining one uninterrupted continuous shot. At 0:06, she lands smoothly on the football pitch still wearing the exact same baby-pink outfit and identical half-French braid. A single football rolls naturally toward her. STRICT OBJECT PERMANENCE: Only one football exists during the entire video. The same football remains continuously visible from first touch until the goal. No duplication, replacement, teleportation, morphing, flickering, disappearing, texture changes, scaling inconsistencies, floating ball, clipping, frame jumps, or AI artefacts. Realistic football physics only. At 0:07, she cushions the ball perfectly with a controlled first touch. From 0:08–0:11, she dribbles continuously through both Argentina and Spain defenders using realistic footwork, believable acceleration, proper spacing, authentic body balance, and natural player reactions. Every touch follows realistic momentum with accurate football physics. No clipping, collision issues, or unnatural animation. At 0:11, she reaches the edge of the penalty area. At 0:12, she unleashes a powerful long-range strike using the same football. The camera smoothly tracks the ball's entire flight from her foot to the goal in one uninterrupted motion. Realistic spin, natural speed, believable trajectory, premium broadcast-quality tracking. At 0:13, the football rockets into the top corner of the net. The goal net stretches and ripples realistically as the stadium erupts. Authentic British football commentator shouts: "What a strike! Absolutely sensational!" Crowd chants become deafening. At 0:14, she turns and sprints toward the corner flag as the camera follows closely behind. For the final second, she leaps high into the air and performs the iconic Siuuu celebration, rotating before landing confidently with feet apart and arms extended downward while facing the roaring crowd. Her half-French braid swings dramatically through the air. Brilliant stadium floodlights illuminate the scene as tens of thousands of fans celebrate around her. **Ultra-realistic cinematic football commercial, premium sports broadcast quality, seamless living-room-to-stadium transformation, one continuous unbroken shot, authentic British football commentary, realistic player movement, physically accurate football physics, strict single-ball continuity, stable first-person camera, cinematic lighting, dramatic atmosphere, crowd chants, sprinting footsteps, grass impact sounds, realistic ball contact, powerful strike, natural net deformation, HDR, ultra-detailed textures, premium realism, 15-second duration, portrait 9:16, baby-pink aesthetic, no logos, no text overlays, no subtitles, no watermark, no flickering objects, no AI artefacts, no visual glitches.show more

For the past few weeks I’ve been teaching 50+... kids how to create their own games with AI. The results have been incredible 🤯 I started with my 5 y/o nephew because I was worried about him spending hours doomscrolling and consuming brainrot content. He built his first game using v0, though I had to walk him through each step. Watching kids interact with these tools taught me so much about how they think, where they get stuck, and what keeps them motivated. The moment that really struck me came right after he finished that first game. Every time I saw him afterward, he’d run up and ask, “Did you bring your laptop so I can keep playing?”. For him, “playing” meant creating. That kind of excitement is organic pull. Don’t get me wrong, I love v0 and Lovable. They’re insanely powerful. Their UIs just aren’t designed for kids, and that’s totally fine. Kids still need guidance, structure, and a bit of tutoring to turn ideas into something playable. I’m seeing tech leaders push in this direction too, and I think there’s a real opportunity here (Matias Woloski Thomas Wolf). Kids are the future, and I don’t want to live in a world where they spend precious time consuming instead of creating. That’s why I love tools like v0, Lovable, wabi , Cursor . They’re empowering more people to become creators. I want that same feeling for kids. What Guillermo is saying is real. Kids need to be AI-literate from the outset. It honestly makes me sad to think about my nephew growing up and falling behind on AI and everything happening around him because he’s stuck in Roblox or TikTok. That’s why I built Rabbit 🐰 for him. It started as a simple prototype, but somehow I ended up talking with 200+ parents and kids, tech leaders, investors, and people I never imagined meeting around the world. Rabbit now has 100+ people on the waitlist, and 10 kids are using it two to three times per week on average to create their own games 🫡 I’m not sure yet if this will become my full-time project, but I deeply care about it. If you’re building in this space, I’d love to connect and share ideas. And if you’re a parent interested in Rabbit, I’d love your feedback. Sharing a short video of kids using Rabbit below:show more