This is the kind of project that quietly changes... an industry. Instead of using traditional slicers, this creator built an app that converts hand-drawn curves directly into printable G-code for spiral vase mode prints. App → G-code → Print. - No complicated workflow. - No heavy setup. - Just turning ideas into physical objects almost instantly. The interesting part isn’t just the print quality. It’s how tools are becoming so simple that more people can create complex things without needing advanced technical knowledge. Would tools like this make 3D printing finally mainstream? 🎥 Media: ( Instagram ) ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators.show more

Engineers: “This is a breakthrough in soft robotics.” Twitter:... “Bro built an AI vibrator.” 🤦‍♂️ Researchers at the University of Southern Denmark created a soft robot that moves by inflating and contracting its body like a worm. Jokes aside… robots like this could actually be useful for rescue missions and environments where traditional robots fail. But let’s be honest: you already know what most comment sections are going to talk about 💀 🎥 Media: SDU Soft Robotics ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators.show more

Almost every robot you see... runs on this equation.... Not AI. Not machine learning. PID. For over 100 years, this simple control algorithm has been quietly keeping robots balanced, drones stable, industrial machines precise, and even rockets on course. Most people never hear about it. Yet without PID, many of today's robots wouldn't even stand upright. If you could only learn ONE control algorithm in robotics... this would be it. What's the most impressive application of PID you've seen? 🎥 Media: medcorreia ( Instagram ) ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators.show more

China is scaling humanoid robotics at an insane speed.... Super realistic robots from Ex-Robots are now reportedly entering mass production 🤖 - Not prototypes. - Not lab experiments. - Actual production. The biggest shift happening in robotics isn’t just intelligence anymore. It’s making robots look and behave socially acceptable around humans. And honestly… we’re reaching the point where some people may not immediately realize they’re talking to a robot. Exciting future or uncomfortable future? Media : Ex-Robots ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators.show more

Researchers at Columbia University have developed modular robots that... can adapt, repair, and even rebuild themselves using a concept called robot metabolism. 🤖 Instead of remaining fixed, these robots can detach, reconnect, and reorganize their own structure based on the task or environment. If one part is damaged, the system can replace or rearrange itself rather than stopping completely. This could reshape the future of disaster response, industrial automation, and even space exploration. The idea of robots that evolve instead of wear out is becoming more than science fiction. What real-world application do you think will benefit most from this technology? 🎥 Media: Columbia University ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators.show more

The next phase of AI video needs infrastructure, not... more tools.. This isn’t just a product update. It’s a new category. Topview 4.0 is the world’s first AI video collaboration board, built for how creators and teams actually work. One shared workspace to create, review, and iterate together without switching tools. Prompt → Image → Video → Avatar in a single flow. Real-time collaboration. All top image and video models in one place. Creator-friendly pricing, cheaper than official APIs. If AI video is part of your workflow, this is the board it belongs on. TopviewAIshow more

🚨 CHINESE SCIENTISTS JUST INVENTED 3D PRINTING THAT CREATES... OBJECTS IN 0.6 SECONDS USING ONLY LIGHT. Researchers at Tsinghua University have developed a new method called DISH (Digital Incoherent Synthesis of Holographic light fields) that can print complex millimeter-scale objects almost instantly. Instead of slowly building layer by layer, the system fires thousands of precisely patterned light images from multiple angles into a still vat of liquid resin. Where the light overlaps, the resin instantly hardens into a solid 3D object. The entire process takes just 0.6 seconds. Why this matters: • It’s currently the fastest volumetric 3D printing method ever demonstrated • Achieves extremely fine detail features thinner than a human hair • The resin stays completely still, so there’s no vibration or distortion • It can work with watery (low-viscosity) resins, making it suitable for biological applications • The team has already printed complex structures like blood vessel-like tubes and even a tiny bust of a historical figure The deeper implication: Traditional 3D printing has always been limited by speed and the need to move either the print head or the resin. This approach removes both constraints by using light itself as the sculptor. Because it can print directly into still liquid (and potentially onto living tissue), it opens new possibilities in bioprinting, medical devices, and rapid manufacturing. If the technology can be scaled beyond millimeter sizes, it could fundamentally change how we think about making physical objects turning “print” from a slow process into something closer to instantaneous fabrication. We’re moving from “layer by layer” to “all at once.” How do you think instant volumetric 3D printing like this could change medicine, manufacturing, or everyday life if it becomes widely available? Follow for more frontier manufacturing and materials science breakthroughs.show more

🚨#BREAKING: X has announced a major change to its... creator payout program for this cycle They announced that they are testing new tools to better identify who actually created original content, and will start giving a portion of the revenue directly to those creators X says reposts and commentary will still be an important part of the platform, but the goal now is to reward people who create original, high-quality content that adds real value to the timeline In simple terms, they want to pay the people who make the content, not just the accounts that help it go viral The company says this change will help improve the overall quality of content on X and that the revenue-sharing program will continue to evolve to encourage creators to post their best workshow more

HTML Artifacts are a big part of how I... work with agents now. Artifacts can be more than just static files. When combined with agents, they can take action or help you take action. This unlocks all kinds of interesting ways to work with agents. This is clearly the future. Check out this writing and scheduler artifact I built in a few minutes. It uses a bit of HTML and JS. All the data is in markdown (Obsidian vaults), so the agent can access and modify it at any time. No DB needed. No sophisticated functionalities. The agent decides all that for me based on the skills, context, and memory it has access to. The best part about this simple stack is that all the important information stays with me. This has allowed me to build a recursive self-improving system and automations that can better tap into coding agents like Codex or Claude Code. I could have paid or built an entire app for scheduling posts, and there are so many of them out there. But I don't need to. I've realized a simple artifact does the job. And the simplicity of it is actually an advantage. Very little maintenance for very high returns on personalization, time, and efficiency. The other benefit of this is that I can add features as I please. That level of personalization feels magical, and we should all be pursuing more of it. All of this just keeps compounding. Of course, this example is just about writing. But I have similar artifacts for research, design, experimentation, evaluation, and so much more. And no, I didn't actually publish the post example I shared in the clip. It was just for demonstration purposes. I actually spend more time than this when writing together with agents. Lastly, having built my own agent orchestrator tool has made me realize that simplifying the tool stack is a superpower. If you are curious about how all this works, I will do a live session next week:show more

$976K/month is crazy This is a study/homework helper AI... app with 350 million users Just from UGC creators They run formats like "I just found this app and it kinda feels illegal" Doesn't seem like much but they absolutely cracked the code. I broke down exactly how they did it >The hook formulas that stop the scroll >the psychological triggers that make people feel like they're in on a secret >the reactions that sell authenticity without looking staged > the camera angles that make UGC look native instead of like an ad. This isn't theory. It's the actual blueprint behind why this format keeps printing. Comment "UGC" and I'll send it to you IMMEDIATELY (must be following so I can DM)show more

Bye bye, VFX artists? Is this really the end?... Why would a studio spend $10,000 on a single VFX shot… when tools like Seedance 2.0 can generate an entire cinematic scene in minutes? That’s the uncomfortable question no one wants to answer. We’re watching a shift happen in real time. Jobs are already being reshaped. Pipelines are changing. And the speed of evolution is hard to ignore. In just 3 years, AI went from experimental… to producing complex, high-quality visuals that were unthinkable before. Now compare that to the traditional path: A VFX artist can take years—often a decade— to reach a professional level. So what happens when that gap collapses? This isn’t just about replacing artists. It’s about redefining what “creating” even means. The barrier to entry is disappearing. The tools are getting exponentially better. And the timeline is accelerating. The real question isn’t if this changes the industry— It’s how fast.show more

Hot take: most “AI creator” tools are just fancy... prompt boxes. This one actually behaves like an agent. I gave it a messy idea and instead of breaking, it: - built visuals (images) - turned them into video - kept iterating without me stepping in every 2 seconds (you can see it in the screen recording 👇) Halfway through using Yapper , it clicked — this thing doesn’t just generate… it works through ideas. That’s the difference: it thinks in workflows, not single outputs. You spend less time prompting…and more time actually creating. Not perfect yet — but it’s one of the first tools that feels like it scales with you. If you’re deep into AI, you’ll see the shift instantly.show more

The robotics industry is about to go through the... same shift software did 10 years ago. Here's why the next billion-dollar robotics company will be built by a creator — not a corporation 👇 1/ Corporate robotics requires millions in capital, years of R&D, and a massive team just to ship a product. Creators with the right platform can prototype an idea in weeks, validate with real customers, and iterate fast. 2/ This isn't theory. It's the same pattern we saw with: GitHub → software developers App Store → mobile creators YouTube → video creators Every major platform shift minted a new class of independent builders. Robotics is next. 3/ The barrier isn't talent. There are brilliant engineers everywhere — Ohio, Lagos, Mumbai, Berlin. The barrier is access. Access to tools, infrastructure, and a platform that lets them build and monetize. 4/ That's exactly what $ROBA is building — an open platform where creators build, train, share, and monetize robotic behaviors. No corporate gatekeepers. No vendor lock-in. Just creators owning their innovations. Join the revolution today.show more

The cooking never stops.🧑🏼‍🍳 Let’s talk about why Algorand... is a top dog on #NationalHotDogDay. Algorand has atomic swaps, which lets two people trade different cryptocurrencies/tokens without getting cheated (like the scenario here). We pioneered atomic swaps as a core component of the protocol. This means no code is required. With atomic swaps, two or more users can easily make an exchange in one simple step. This is just one of Algorand’s cool features that show how it’s made for the real world. Part 1 of 8, featuring #AlgoFam’s AlgoLeagues.Algo. ❤️show more

THIS $2 AI VISUAL SETUP JUST MADE A $250/MONTH... CREATIVE STACK LOOK STUPID he moves his hand, the particles react, and the whole scene updates in real time. no cloud render farm, no paid visual API, no expensive plugin chain quietly eating money every month most people still think ai visuals require a stack of $39 tools, $89 subscriptions, and constant API usage. but here the loop is simple: TouchDesigner handles the visuals, a local model handles the logic, and the laptop does the rest the important part is not that the particles look cool. the important part is that the “brain” behind the visual no longer has to live on someone else’s server once that moves local, the monthly bill falls off a cliff this is probably how a lot of small studios start building visuals soon: not by renting 6 tools forever, but by owning one system that runs almost for freeshow more

Multi-axis 3D printing with curved layers! 🖨️ Researchers from... the The University of Manchester introduced a neural network-based computational pipeline as a representation-agnostic slicer for multi-axis 3D printing. Traditional 3D printing works like stacking pancakes, flat layers on top of each other. 🥞 This often requires temporary support structures that get thrown away after printing, wastes material, and creates weaker parts. Multi-axis 3D printing can print along curved paths that follow the object's natural shape. This eliminates support structures and makes stronger parts. But figuring out these curved paths is mathematically complex, you need to avoid collisions, respect what the printer can physically do, and optimize for strength. The neural network solves this automatically. It learns to create a "field" around the object, then extracts curved printing paths from this field. Because the entire process is differentiable (translation for non-math specialists, meaning you can optimize it end-to-end), the AI can directly optimize for manufacturing goals like "no support structures needed" and "make it as strong as possible." Here's the project: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →show more

I Built Tiktok for video games in 72hrs and... It went so VIRAL that investors started hitting my dms but it gets even crazier.. because this $1M app idea just turned into a $100M app idea the #1 suggestion i got from you guys on X Was to add multiplayer or local playing with friends to the games Bc that’s what actually makes Tiktok so addictive It’s the interaction with other users. comments, likes, reposts it's all multi-player. but of course that is a complicated task to add to our little app here. very complicated... Thats when the co-founder of reached out And said they are woking on a multiplayer feature for Rork To make this process an extremely easy. This is why Rork is the #1 app builder right now as far as updates on the app →i've added 5 more games to the feed (mostly classics!) → Started implementing the multiplayer UI to invite friends/match-making if you have any ideas for games or for the app drop your suggestions below!show more

People still don't understand how good Codex has become... 👀 I asked it to build this Starbucks website and within some 30 minutes it generated this without me touching a single line of code or spending time looking for assets either. Imagen generated every visual and GPT hooked everything into the codebase. After a couple of small tweaks it all just worked. It didn't even use half of my Codex session. It's super surprising to see quality of the assets. Was way better than I expected. That made me think about what AI is actually changing. Being a developer or a designer was never just about doing the work, writing code or designing it using some kind of tool. It was about knowing what to build in the first place. AI is getting incredibly good at the doing. The hard part is still having good ideas, making the right decisions, and knowing when something feels right. That is only getting more valuable. The people who win won't be the ones writing the most code. They'll be the ones with the best ideas who know how to turn them into reality with AI. Live: Code: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

This is the part people skip, and it changes... everything. Look at the collar: dozens of perfectly parallel grooves flowing over a compound curve, then meeting crisp hieroglyphs and framed scenes without the spacing collapsing. That is not random artistry. That is layout, measurement, and repeatable process. In Egypt’s Late Period, anthropoid stone sarcophagi became a prestige technology in their own right, carved in hard, fine-grained stone with long offering texts and protective deities. One benchmark example is the British Museum’s siltstone sarcophagus of the vizier Sasobek (26th Dynasty, around 600 BC), described as among the finest of its type. How did they get this finish? Ancient Egyptian stoneworking is widely understood as an abrasives driven craft: copper or bronze tools, drills, and saws did not “slice” hard stone by themselves, they carried quartz sand and other abrasives that did the cutting, followed by intensive grinding and polishing. Now the question that should start an argument: If this level of repeatable precision was achievable at scale, what was the real “advanced technology” here: the tools, or the workshop system? Time budget guess: how many person-hours for just the collar and inscription fields, not the whole coffin?show more

Most AI Projects In Crypto Are Liars. Sentient is... different. It is the only project in Web3 pursuing true Artificial General Intelligence. A few facts that set it apart: 1. First-of-its-kind: Sentient is not just building AI tools, but an open, crypto-native path to AGI. 2. Community-owned intelligence: Instead of Big Tech locking up breakthroughs, progress is built openly and shared on-chain. 3. Value capture: Every step forward in intelligence accrues to the ecosystem itself, not to a closed corporation. 4. Product before hype: While dozens of AI projects launch at $300M–$2B FDV with little to show, Sentient is shipping real technology first. 5. Designed to evolve: Its architecture is built to learn, adapt, and scale like a human mind. 6. The singularity play in crypto: Many see Sentient as the Tesla-equivalent for AGI—but crypto-native. In time, people will understand that this isn’t just another AI project. It’s the beginning of decentralized intelligence.show more