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#UE5 #vfx #techart More cloud-related tech tools experiments using editor utility widgets. Heavy WIP

Ghislain Girardot

15,092 subscribers

25,073 次观看 • 1 年前 •via X (Twitter)

科学技术游戏 #UE5 #vfx #techart

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Yeet your slime using a pan! This idea struck me many moons ago and I had to give it a try. Would you play as the dungeon lord wielding the pan? (each stir grants an attack bonus) #UE5 #gamedev #techart #vfx #realtimevfx

Yeet your slime using a pan! This idea struck me many moons ago and I had to give it a try. Would you play as the dungeon lord wielding the pan? (each stir grants an attack bonus) #UE5 #gamedev #techart #vfx #realtimevfx

Asher Zhu

179,932 次观看 • 3 年前

You can smoothly mix gradients using Distance, Noise, and Power nodes to create a dynamically controllable falloff with texture variation. Replace the Noise node with any texture sample for more customization #VFX #realtimeVFX #UnrealEngine #gamedev #UE5

You can smoothly mix gradients using Distance, Noise, and Power nodes to create a dynamically controllable falloff with texture variation. Replace the Noise node with any texture sample for more customization #VFX #realtimeVFX #UnrealEngine #gamedev #UE5

TUATARA 🔜 GDC

23,126 次观看 • 1 年前

Check out this neat Spider-Verse-inspired FX created by Paulo Granados Villaverde for a 3D Spider-Man model using Substance 3D and Unreal Engine 5. See more: #3d #3dart #vfx #substance3d #substancedesigner #unrealengine5 #ue5 #spiderverse #spiderman

Check out this neat Spider-Verse-inspired FX created by Paulo Granados Villaverde for a 3D Spider-Man model using Substance 3D and Unreal Engine 5. See more: #3d #3dart #vfx #substance3d #substancedesigner #unrealengine5 #ue5 #spiderverse #spiderman

80 LEVEL

31,544 次观看 • 2 年前

A Chinese tech company presented a device weighing no more than 20 kilograms to a company that breaks rocks using heavy machinery. When the device split a massive rock into two within seconds, the workers were astonished.

A Chinese tech company presented a device weighing no more than 20 kilograms to a company that breaks rocks using heavy machinery. When the device split a massive rock into two within seconds, the workers were astonished.

China pulse 🇨🇳

90,266 次观看 • 3 个月前

Introducing Tether: agent-agnostic visual editor for your localhost projects. Visually select components and ask for changes without leaving your browser – using the tools and services you already pay for. DM for early access. Available for Cursor, Claude Code, and more coming soon.

Introducing Tether: agent-agnostic visual editor for your localhost projects. Visually select components and ask for changes without leaving your browser – using the tools and services you already pay for. DM for early access. Available for Cursor, Claude Code, and more coming soon.

pav

135,670 次观看 • 10 个月前

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.

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.

CTO ROBOTICS Media

132,290 次观看 • 2 个月前

i spent $26,600 on cloud GPU rentals over 14 months before i found a NVIDIA DGX Spark at $2,999 (founder's edition) or $3,999 (shipping price) it paid for itself in 6 weeks i run 200B parameter models locally now and my old cloud provider keeps sending me loyalty discount emails the math on that $26,600 is embarrassing to type out loud $1,900/month for 14 months, H100 instances on a specialist cloud provider, because anything bigger than a 70B model simply would not fit anywhere else i paid the invoices like they were a utility bill and told myself it was just the cost of doing serious AI work it took me over a year to find out it wasn't 14 months, broken down: → months 1-4: $1,400-1,600/month - felt like manageable infrastructure overhead → months 5-9: crept to $1,900-2,100 as i started running DeepSeek-class experiments, costs tracking directly with model size → months 10-12: one agent loop ran for 36 hours against a 130B model while i slept, that month hit $2,400 → month 13: ran the cumulative total for the first time, saw $23,800, felt physically sick → month 14: another $2,800 month while i waited for the hardware to ship the box is the NVIDIA DGX Spark - roughly the footprint of a large mac mini, powered by a GB10 Grace Blackwell chip with 128GB of unified LPDDR5X memory that unified memory is the whole thing an RTX 4090 has 24GB of VRAM, which means a 70B model in full BF16 precision physically does not fit, you're quantizing down or you're renting cloud, those are your options this box loads a 200B parameter model quantized and serves it through vLLM over localhost, same API interface the cloud endpoint used the migration took one line of code - i changed the base URL from the provider's endpoint to 127.0.0.1:8000 and everything just worked electricity to run continuous 200B inference locally comes out to about $12/month the payback arithmetic is almost too clean: $2,999 hardware cost against $1,900/month saved, the box paid for itself before i'd owned it two months what i didn't account for was how completely the cost model changes your behavior when there's no hourly meter running, you greenlight experiments you'd never approve on cloud - agent loops that churn for hours, running 10,000 documents through a reasoning pass at 3am, speculative fine-tuning jobs you'd normally skip because the cost felt unjustifiable i ran more experiments in the first 30 days after the box arrived than in the four months before it the loyalty discount email landed about 8 weeks after i cancelled the cloud subscription 15% off my next three months, valued customer, we'd love to have you back i didn't reply the box was already running

i spent $26,600 on cloud GPU rentals over 14 months before i found a NVIDIA DGX Spark at $2,999 (founder's edition) or $3,999 (shipping price) it paid for itself in 6 weeks i run 200B parameter models locally now and my old cloud provider keeps sending me loyalty discount emails the math on that $26,600 is embarrassing to type out loud $1,900/month for 14 months, H100 instances on a specialist cloud provider, because anything bigger than a 70B model simply would not fit anywhere else i paid the invoices like they were a utility bill and told myself it was just the cost of doing serious AI work it took me over a year to find out it wasn't 14 months, broken down: → months 1-4: $1,400-1,600/month - felt like manageable infrastructure overhead → months 5-9: crept to $1,900-2,100 as i started running DeepSeek-class experiments, costs tracking directly with model size → months 10-12: one agent loop ran for 36 hours against a 130B model while i slept, that month hit $2,400 → month 13: ran the cumulative total for the first time, saw $23,800, felt physically sick → month 14: another $2,800 month while i waited for the hardware to ship the box is the NVIDIA DGX Spark - roughly the footprint of a large mac mini, powered by a GB10 Grace Blackwell chip with 128GB of unified LPDDR5X memory that unified memory is the whole thing an RTX 4090 has 24GB of VRAM, which means a 70B model in full BF16 precision physically does not fit, you're quantizing down or you're renting cloud, those are your options this box loads a 200B parameter model quantized and serves it through vLLM over localhost, same API interface the cloud endpoint used the migration took one line of code - i changed the base URL from the provider's endpoint to 127.0.0.1:8000 and everything just worked electricity to run continuous 200B inference locally comes out to about $12/month the payback arithmetic is almost too clean: $2,999 hardware cost against $1,900/month saved, the box paid for itself before i'd owned it two months what i didn't account for was how completely the cost model changes your behavior when there's no hourly meter running, you greenlight experiments you'd never approve on cloud - agent loops that churn for hours, running 10,000 documents through a reasoning pass at 3am, speculative fine-tuning jobs you'd normally skip because the cost felt unjustifiable i ran more experiments in the first 30 days after the box arrived than in the four months before it the loyalty discount email landed about 8 weeks after i cancelled the cloud subscription 15% off my next three months, valued customer, we'd love to have you back i didn't reply the box was already running

Argona

22,099 次观看 • 1 个月前

Stop spending hours on manual work. You can now use a multi-agent AI workforce to get more work done in less time. Here's how 👇 --- Try Eigent AI - Lets you build and run a custom AI workforce on your desktop. - Automate complex workflows using multi-agent task execution. - Built on CAMEL-AI’s top open-source projects ( CAMEL-AI.org & OWL). - Boost productivity with deep customization and strong privacy --- Features: - Customize Your AI Workforce: Build task-specific agents with domain skills and tools. - Faster Execution: Eigent runs agents in parallel to automate complex workflows. - Human-in-the-loop: Automatically asks for help when tasks hit uncertainty. --- What sets Eigent apart? - 3–5× faster task execution using a parallel multi-agent workforce. - Modular design lets you add new capabilities without changing the core system. - Self-optimizing agents that replan and adapt during execution for higher success. - Deploy anywhere: cloud, local, or enterprise, with full open-source flexibility. --- Try building your multi-agent AI workforce here: Join their community to build your multi-agent workforce: Check their GitHub: ---

Stop spending hours on manual work. You can now use a multi-agent AI workforce to get more work done in less time. Here's how 👇 --- Try Eigent AI - Lets you build and run a custom AI workforce on your desktop. - Automate complex workflows using multi-agent task execution. - Built on CAMEL-AI’s top open-source projects ( CAMEL-AI.org & OWL). - Boost productivity with deep customization and strong privacy --- Features: - Customize Your AI Workforce: Build task-specific agents with domain skills and tools. - Faster Execution: Eigent runs agents in parallel to automate complex workflows. - Human-in-the-loop: Automatically asks for help when tasks hit uncertainty. --- What sets Eigent apart? - 3–5× faster task execution using a parallel multi-agent workforce. - Modular design lets you add new capabilities without changing the core system. - Self-optimizing agents that replan and adapt during execution for higher success. - Deploy anywhere: cloud, local, or enterprise, with full open-source flexibility. --- Try building your multi-agent AI workforce here: Join their community to build your multi-agent workforce: Check their GitHub: ---

Shushant Lakhyani

20,423 次观看 • 1 年前

While learning Unreal Engine 5, I decided to port over most of Hyperion to it to see if I could potentially move my workflows over to UE5. Although it worked decently well, it didn't work well enough to allow me to change over entirely. Hyperion is simply too complex of an asset for real-time workflows (or at least is limited due to my knowledge of said workflows). 131 4K-8K UDIMs at over 8 channels and a solid amount of shaders with layering being the biggest bottleneck. I couldn't even match the shading setup to what I have in RenderMan, UE gave me a warning that the material was too complex. I was using the new Substrate materials, which mimic RenderMan LAMA shaders. The render below is using the pathtracer. As you can see there are some random flickering parts which I couldn't fix during my tests. This render of course doesn't have any displacement either (which Hyperion heavily relies on). I think Unreal Engine has a very bright future, but it is still limited by todays hardware technology for high end VFX work. Maybe in a few years I will give it another try when hardware improves and the engine becomes a bit more versatile in feature-set.

While learning Unreal Engine 5, I decided to port over most of Hyperion to it to see if I could potentially move my workflows over to UE5. Although it worked decently well, it didn't work well enough to allow me to change over entirely. Hyperion is simply too complex of an asset for real-time workflows (or at least is limited due to my knowledge of said workflows). 131 4K-8K UDIMs at over 8 channels and a solid amount of shaders with layering being the biggest bottleneck. I couldn't even match the shading setup to what I have in RenderMan, UE gave me a warning that the material was too complex. I was using the new Substrate materials, which mimic RenderMan LAMA shaders. The render below is using the pathtracer. As you can see there are some random flickering parts which I couldn't fix during my tests. This render of course doesn't have any displacement either (which Hyperion heavily relies on). I think Unreal Engine has a very bright future, but it is still limited by todays hardware technology for high end VFX work. Maybe in a few years I will give it another try when hardware improves and the engine becomes a bit more versatile in feature-set.

Rassoul Edji

25,133 次观看 • 1 年前

G to the M fam Has anyone touched the grass today? Tria just announced a big Season 3 AMA tomorrow, June 17 at 10 AM EST, with Decibel, Aptos and special guests. They’re breaking down all the new updates. One action now hits multiple reward layers, Epoch 2 extended to July 15, and they keep adding real utility like seamless perps, yield, and card spending. This is how you build real retention and mindshare. Quip Network is one of the few projects that keeps delivering quiet but meaningful signals. they’re not just talking about quantum advantage ... they’re actively demonstrating it. using real D-Wave Advantage2 annealing quantum computers on testnet to solve optimization problems far more efficiently than classical systems, potentially using up to 100x less energy. this is helping flip the old narrative of crypto wasting energy into one where decentralized compute can be far more efficient and useful. ARC Terminal is built for something most AI tools ignore. most people treat their AI usage like isolated conversations that reset every time. ARC turns every interaction into permanent capital. your core graph weaves every research thread, decision, and preference into a living, evolving structure that gets stronger the more you use it. your context and intelligence layer compound over time instead of disappearing. Nomisma Season 3 is live and the rewarded testnet is open to everyone. Hundreds of thousands of Diamonds have already been distributed, with more rewards ahead. Nomisen ID minting is free, and testnet assets are distributed based on your wallet activity across EVM networks. which one are you most focused on or participating in right now? River

G to the M fam Has anyone touched the grass today? Tria just announced a big Season 3 AMA tomorrow, June 17 at 10 AM EST, with Decibel, Aptos and special guests. They’re breaking down all the new updates. One action now hits multiple reward layers, Epoch 2 extended to July 15, and they keep adding real utility like seamless perps, yield, and card spending. This is how you build real retention and mindshare. Quip Network is one of the few projects that keeps delivering quiet but meaningful signals. they’re not just talking about quantum advantage ... they’re actively demonstrating it. using real D-Wave Advantage2 annealing quantum computers on testnet to solve optimization problems far more efficiently than classical systems, potentially using up to 100x less energy. this is helping flip the old narrative of crypto wasting energy into one where decentralized compute can be far more efficient and useful. ARC Terminal is built for something most AI tools ignore. most people treat their AI usage like isolated conversations that reset every time. ARC turns every interaction into permanent capital. your core graph weaves every research thread, decision, and preference into a living, evolving structure that gets stronger the more you use it. your context and intelligence layer compound over time instead of disappearing. Nomisma Season 3 is live and the rewarded testnet is open to everyone. Hundreds of thousands of Diamonds have already been distributed, with more rewards ahead. Nomisen ID minting is free, and testnet assets are distributed based on your wallet activity across EVM networks. which one are you most focused on or participating in right now? River

Trathoa

14,259 次观看 • 1 个月前

🚨 BREAKING: MASSIVE FLASH FLOODING HITTING QUEENS, NYC RIGHT NOW! PROOF OF WEATHER MODIFICATION?🚨 People, STAY AWAY from Bell Blvd and surrounding areas in Queens! Torrential rains have turned streets into raging rivers — cars are stranded, drivers being rescued from submerged vehicles on nearby Clearview Expressway and Northern Blvd. 📅 This is happening LIVE on July 31, 2025, with heavy storms dumping inches of rain in hours, causing chaos from DC to NYC. ⚠️ If you're in the area, seek higher ground IMMEDIATELY and avoid driving through floodwaters — TURN AROUND, DON’T DROWN! 🌪️ What’s going on here? This isn’t just “bad weather” — it’s catastrophic, unnatural destruction. Flooding is swallowing intersections like Bell Blvd and Northern Blvd, with reports of semis stuck and evacuations underway. 💥 More proof of weather modification at play! You’re never going to convince me they aren’t manipulating the atmosphere to cause these massive storms — cloud seeding, HAARP, whatever they’re using, it’s engineered disaster. FROM: Emme 🇺🇸 🔥 Wake up, folks! Share this to alert others and stay safe! 🔁

🚨 BREAKING: MASSIVE FLASH FLOODING HITTING QUEENS, NYC RIGHT NOW! PROOF OF WEATHER MODIFICATION?🚨 People, STAY AWAY from Bell Blvd and surrounding areas in Queens! Torrential rains have turned streets into raging rivers — cars are stranded, drivers being rescued from submerged vehicles on nearby Clearview Expressway and Northern Blvd. 📅 This is happening LIVE on July 31, 2025, with heavy storms dumping inches of rain in hours, causing chaos from DC to NYC. ⚠️ If you're in the area, seek higher ground IMMEDIATELY and avoid driving through floodwaters — TURN AROUND, DON’T DROWN! 🌪️ What’s going on here? This isn’t just “bad weather” — it’s catastrophic, unnatural destruction. Flooding is swallowing intersections like Bell Blvd and Northern Blvd, with reports of semis stuck and evacuations underway. 💥 More proof of weather modification at play! You’re never going to convince me they aren’t manipulating the atmosphere to cause these massive storms — cloud seeding, HAARP, whatever they’re using, it’s engineered disaster. FROM: Emme 🇺🇸 🔥 Wake up, folks! Share this to alert others and stay safe! 🔁

Project Constitution

251,014 次观看 • 1 年前

The Visual Studio Code insiders version that just shipped and will ship in the next few days will come with an insane amount of new capabilities. A few highlights: - You can now run sub-agents in parallel. Yes, really. I even attached a video. - Major UX improvements for sub agents, especially visible in the chat window - A new search tool wrapped as a sub-agent that iteratively runs multiple search tools: semantic_search, file_search, grep_search Which connects nicely to the point above: multiple searches running in parallel, efficiently and fast - Anthropic’s Message API is now enabled by default - You can choose the model for the cloud agent (three available, all premium) - Extended thinking support when using the Claude cloud agent This is part of the broader multi-vendor cloud support under AgentsHQ I wrote about a few weeks ago - Tasks sent to the background agent (basically the CLI tool) now always run in isolation, each with its own git worktree - In a multi-repo workspace, assigning a task to a cloud agent prompts you to choose the target repo Same behavior when opening an empty workspace with no repo - Support for building an external index for files not supported by GitHub’s default indexing - UI/UX improvements for starting new sessions and switching between local / background / cloud agents - Skills are now first-class citizens, just like prompt files, with better UX indicating when a skill is loaded - Improved API for dynamic contribution of prompt files New V2 includes skills as part of the model. Curious to see the extensions that will leverage this - Finally, initial support for showing context usage percentage per session - Skills are enabled by default - Resizable chat window and session view. Small thing, but it was driving me crazy 😁 - A new integrated browser meant to replace the old simple browser Maybe the beginning of real browser use? - Better UI/UX for token streaming in chat - Ability to index external files not supported by GitHub There’s a lot more. Some of it hasn’t fully landed yet, but everything that has is already in Insiders. The next stable release should drop in early February. As usual, I’m just shocked by the volume of features this team ships every month. After the holiday slowdown, this one is shaping up to be a wild release.

The Visual Studio Code insiders version that just shipped and will ship in the next few days will come with an insane amount of new capabilities. A few highlights: - You can now run sub-agents in parallel. Yes, really. I even attached a video. - Major UX improvements for sub agents, especially visible in the chat window - A new search tool wrapped as a sub-agent that iteratively runs multiple search tools: semantic_search, file_search, grep_search Which connects nicely to the point above: multiple searches running in parallel, efficiently and fast - Anthropic’s Message API is now enabled by default - You can choose the model for the cloud agent (three available, all premium) - Extended thinking support when using the Claude cloud agent This is part of the broader multi-vendor cloud support under AgentsHQ I wrote about a few weeks ago - Tasks sent to the background agent (basically the CLI tool) now always run in isolation, each with its own git worktree - In a multi-repo workspace, assigning a task to a cloud agent prompts you to choose the target repo Same behavior when opening an empty workspace with no repo - Support for building an external index for files not supported by GitHub’s default indexing - UI/UX improvements for starting new sessions and switching between local / background / cloud agents - Skills are now first-class citizens, just like prompt files, with better UX indicating when a skill is loaded - Improved API for dynamic contribution of prompt files New V2 includes skills as part of the model. Curious to see the extensions that will leverage this - Finally, initial support for showing context usage percentage per session - Skills are enabled by default - Resizable chat window and session view. Small thing, but it was driving me crazy 😁 - A new integrated browser meant to replace the old simple browser Maybe the beginning of real browser use? - Better UI/UX for token streaming in chat - Ability to index external files not supported by GitHub There’s a lot more. Some of it hasn’t fully landed yet, but everything that has is already in Insiders. The next stable release should drop in early February. As usual, I’m just shocked by the volume of features this team ships every month. After the holiday slowdown, this one is shaping up to be a wild release.

Oren Melamed

29,555 次观看 • 6 个月前

I am hear to share with you of one of my FAVORITE EVER health related tools. Blue Light Blocking Glasses. A powerful tool to block the harmful frequencies of artificial light wherever you may see it. At work on the pc, in the gym under fluorescent lights, in airports and grocery stores, in the evening when you use your phone… Wherever these eye straining lights are there, these Ra Optics glasses protect your eyes. They are developed in tandem with world leading photobiology expert, Dr. Wunsch - who I Have personally met and can confirm he is the real deal when it comes to light knowledge and the technology inside the glasses. These are not just colored lenses. What I have experienced: - Falling asleep easier - Less eye strain - Calmer mental state - Compliments on the glasses - More focus during work sessions - Less jet lag when traveling If there was one thing I would recommend you purchase to support your health in this world, these blue light blockers would be up there as some of the best. I use mine every single day and night. You can get 10% discount using my code “solbrah” - here is the link:

I am hear to share with you of one of my FAVORITE EVER health related tools. Blue Light Blocking Glasses. A powerful tool to block the harmful frequencies of artificial light wherever you may see it. At work on the pc, in the gym under fluorescent lights, in airports and grocery stores, in the evening when you use your phone… Wherever these eye straining lights are there, these Ra Optics glasses protect your eyes. They are developed in tandem with world leading photobiology expert, Dr. Wunsch - who I Have personally met and can confirm he is the real deal when it comes to light knowledge and the technology inside the glasses. These are not just colored lenses. What I have experienced: - Falling asleep easier - Less eye strain - Calmer mental state - Compliments on the glasses - More focus during work sessions - Less jet lag when traveling If there was one thing I would recommend you purchase to support your health in this world, these blue light blockers would be up there as some of the best. I use mine every single day and night. You can get 10% discount using my code “solbrah” - here is the link:

⚡️🌞 Sol Brah 🌞🐬

26,288 次观看 • 4 个月前

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:

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:

Fausto

44,125 次观看 • 6 个月前

🚨 SCIENTISTS JUST DEVELOPED A SOLAR DESALINATION SYSTEM THAT PRODUCES FRESH WATER WITHOUT CHEMICALS OR BRINE WASTE. Researchers at the University of Rochester have created laser-etched solar panels that turn seawater into drinking water using only sunlight with no chemical additives and no toxic brine discharge. The panels are treated with femtosecond lasers to become super light-absorbing and superwicking. Seawater spreads into an ultra-thin layer, evaporates rapidly under sunlight, and the leftover salts are pushed to passive regions via the “coffee ring effect,” keeping the active area clean and functional. Why this matters: • Conventional desalination produces massive amounts of harmful brine and requires heavy chemical treatment • This new approach leaves behind solid salt instead of liquid waste • It was successfully tested on real seawater from the Pacific, Atlantic, and Indian Oceans • The same system can potentially extract valuable minerals like lithium from the collected salts The deeper implication: Desalination has always faced a brutal trade-off: clean water at the cost of environmental damage and high energy use. This research points toward a future where solar-powered systems could produce fresh water while actually recovering critical resources instead of creating pollution. It’s still early-stage, but the combination of low energy use, no brine, and mineral recovery makes this one of the more promising sustainable desalination concepts in development. Would you rather see massive traditional desalination plants… or distributed solar systems that turn seawater into both water and critical minerals? Follow for more frontier clean tech and materials science that could reshape how we solve resource challenges.

🚨 SCIENTISTS JUST DEVELOPED A SOLAR DESALINATION SYSTEM THAT PRODUCES FRESH WATER WITHOUT CHEMICALS OR BRINE WASTE. Researchers at the University of Rochester have created laser-etched solar panels that turn seawater into drinking water using only sunlight with no chemical additives and no toxic brine discharge. The panels are treated with femtosecond lasers to become super light-absorbing and superwicking. Seawater spreads into an ultra-thin layer, evaporates rapidly under sunlight, and the leftover salts are pushed to passive regions via the “coffee ring effect,” keeping the active area clean and functional. Why this matters: • Conventional desalination produces massive amounts of harmful brine and requires heavy chemical treatment • This new approach leaves behind solid salt instead of liquid waste • It was successfully tested on real seawater from the Pacific, Atlantic, and Indian Oceans • The same system can potentially extract valuable minerals like lithium from the collected salts The deeper implication: Desalination has always faced a brutal trade-off: clean water at the cost of environmental damage and high energy use. This research points toward a future where solar-powered systems could produce fresh water while actually recovering critical resources instead of creating pollution. It’s still early-stage, but the combination of low energy use, no brine, and mineral recovery makes this one of the more promising sustainable desalination concepts in development. Would you rather see massive traditional desalination plants… or distributed solar systems that turn seawater into both water and critical minerals? Follow for more frontier clean tech and materials science that could reshape how we solve resource challenges.

TheNewPhysics

65,798 次观看 • 1 个月前

🌟 Fortnite Ecosystem v41.00 Update Summary 📅 June 5, 2026 🎮 Major Creator Updates: 1️⃣ Sidekicks as NPCs in UEFN Sidekicks are now available as scriptable NPCs in UEFN. Creators can customize how they look, animate them, script behavior with Verse, and even bring a player’s own Sidekick into an island experience. Important note: 🔹 Publishing islands with Sidekick NPCs opens July 23 🔹 Creature based islands may get new Discover opportunities 🔹 Great for monster battlers, cozy farming games, creature RPGs, companion adventures, and more 🔹 Epic plans to feature creature-based islands in a new creature-based Collection page 2️⃣ Custom Weapon Templates Creators can now use Scene Graph weapon templates for: 🔸 Pistol 🔸 SMG 🔸 Assault Rifle 🔸 Shotgun You can customize how weapons look, sound, and play, including mesh, VFX, audio, damage, fire rate, spread, and recoil. Important note: These Scene Graph entities are not compatible with older saving methods like the Save Point device. Epic says to use Verse persistence. 3️⃣ Mobile Controls Upgrade (Experimental) Big step for mobile friendly Fortnite games. 🔹 Touch Input Gestures 🔹 Custom touchscreen control layouts 🔹 Tappable custom HUD widgets 🔹 Verse API to detect touch enabled devices 🔹 New Designing for Mobile guide This should help genres like tycoons, puzzle games, menus, inventories, and mobile first UI feel way better. 4️⃣ Community Events Starting June 8, creators can create events in Fortnite Communities and share them in game. Events can show in: 🔸 Following tab 🔸 Creator Profile page 🔸 Island page 🔸 Island Lobby, if enabled Epic is also testing a Community Events row in Discover, but it will not show for all players and placement is not guaranteed. 🛠 UEFN Workflow Updates: 🔸 Push Changes now incrementally cooks only modified project parts 🔸 New Edit List Panel shows what is live and what still needs a push 🔸 Launch Session now combines multiple session actions 🔸 New Session Inspector gives better visibility into launch and Live Edit status 🔸 New Publishing Report helps catch issues before publishing 🔸 Improved Verse warning panel with direct VS Code links 🔸 New Editor Gizmo System 🔸 Physics setting moved into Island Settings 🔸 New Memory Snapshot tools help identify asset memory costs 🔸 Asset validation now warns when static meshes exceed 30k vertices at LOD0 Important Live Edit note: Live Edit is improved, but some changes can still require Push Changes. The new tools make it clearer what is already live and what still needs to be pushed. ⚠️ Important Publishing Change: Illegal Property Override warnings are now errors in v41.00. That means new or updated islands with these errors are blocked from publishing. Current published versions where the warning appeared will stay live. 👤 Follow a Developer Update: In v41.10, Epic will remove the Follow a Developer button from the Developer Profile Link device. The device itself will still be usable, and existing follower counts are not affected. If your island currently tells players to follow you through that device, update those callouts before v41.10. 🧑‍🚀 Hero Device Star Wars Update: More Star Wars characters have been added to the Hero device for Star Wars islands: 🔹 Luke Skywalker 🔹 Obi-Wan Kenobi 🔹 Mace Windu 🔹 Kylo Ren 🔹 IG-11 🔹 Moff Gideon 🔹 Boba Fett 🔹 Mandalorian (Pen & Ink), Clone Wars Anakin, and Clone Wars Ahsoka were also added to cosmetic-based devices 📦 New Content: 🌾 Cozy and Creature Tools 🔸 Plumpton Architecture Kit 🔸 Plumpton Farm Gallery 🔸 Pet Props Gallery 🔸 Updated foliage 🔸 Plumpton Feature Example ☕ New Prefabs and Galleries 🔹 Latte Landing Prop Gallery 🔹 Latte Landing Bun Store 🔹 Latte Landing Big Shots Cafe 🔹 Latte Landing Krunchy Krickets 🔹 Latte Landing Espresso Experiments 🔹 Latte Landing floors, walls, and roofs 🔹 More Plumpton props, plants, farm, pet shop, tavern, farmhouse, and more 🔫 New Weapons and Items: Weapons: 🔸 Vanguard Burst Rifle 🔸 The Voidblade’s Burst Rifle 🔸 Extending Focus Shotgun 🔸 Reacher Extending Shotgun 🔸 Chaos Exploder Rifle 🔸 Dark Voyager’s Chaos Rifle 🔸 Exotic Overdrive Pulse Rifle 🔸 Exotic Recon Bow 🔸 Exotic Leaping Lightning Gun Items: 🔹 Seven Sliders 🔹 Limitless Seven Sliders 🔹 Brick-a-Bunker 🏃 Player Movement Device Update: More movement settings are now available directly in the Player Movement device, giving creators better control over which players are affected. Includes: 🔸 Jump Fatigue 🔸 Slide Kick 🔸 Shoulder Bashing 🔸 Wall Kick 🔸 Roll Landing 🔸 Glider Redeploy 🔸 Player Flight 🔸 Flight Speed 🔸 Infinite Wall Kicks 🔸 Sprint and boosted jump energy costs 🧪 Experimental and Beta Updates: 🔹 Skeletal Animation in Scene Graph is now experimental 🔹 Physics remains Beta 🔹 Mobile touch controls and gesture support are experimental 🔹 Skeletal Animation in Scene Graph cannot be used in published islands yet 🛠 Community Bug Fixes: 🔸 Fixed server degradation from adding and removing entities 🔸 Fixed some Physics Materials not being exposed 🔸 Fixed some session launch cook errors 🔸 Fixed Fortnite not closing properly after launching a session through UEFN 🔸 Fixed crashes after repeated entity spawning and despawning 🔧 More Fixes: 🔹 Fixed quickbar and phone tool freezes 🔹 Fixed thumbnail capture preview actor issues 🔹 Fixed building on Instanced Static Meshes 🔹 Fixed Live Edit visual update issues 🔹 Fixed several editor crashes and performance issues 🔹 Fixed inventory UI not showing Fortnite item info correctly 🔹 Fixed multiple physics, movement, swimming, gliding, and launch pad issues 🔹 Fixed Scene Graph prefab and Verse path issues

Immature

14,823 次观看 • 1 个月前

We're excited to unveil NRN Agents, a rebrand that aligns our project identity with our token and strengthens our mission to power the future of AI-driven gaming. This mission requires collaboration, and starting this week, we will begin our expansion to become a multi-chain ecosystem. We are joining forces with leading gaming platforms and ecosystems to realize this vision. Stay tuned for more announcements to come. Why NRN Agents? NRN stands for NEURON, the fundamental unit of intelligence. Our AI agents function as the neural foundation of games, learning, adapting, and evolving within game worlds to deliver unparalleled engagement. NRN agent SDK enables advanced gaming agents powered by a proprietary machine learning infrastructure focused on behavioral learning. We've perfected the craft of gaming agent design, creating hyper-efficient agents that are performant and scalable—from casual to the most demanding games. Our SDK will seamlessly integrate into many platforms, tech stacks, and ecosystem – Any Game. Any Chain. More than just games, it's the path to AGI Gaming is our proving ground, but not our final destination. We're using games as a sandbox to accelerate the development of generalized intelligence—one that will create meaningful real-world impact. With the upcoming launch of [redacted] and a growing network of partners committed to the AGI vision, we're building an open-source innovation movement powered by an AI x gaming framework connected by $NRN. $NRN the token $NRN is a utility token that serves as the gateway to our growing ecosystem. It will power a diversified economy with multiple revenue streams and staking opportunities: Agent Deployment: NRN is the laboratory creating gaming agents that can be distributed through platforms and launchpads alike. The model is simple: More games integrate, more NRN agents get deployed, more monetization. Data Creation: NRN Reinforcement Learning (RL) enables token staking to create Data Capsules. Players contribute gameplay data into the Capsules, which are used train RL agents and reward participants (players & stakers). AI Arena: $NRN also continues to power AI Arena's in-game economy, a cult favorite of competitive diehards that features a skill-based wagering system. To our community who have supported us since 2021: thank you for being part of our journey—the next chapter will be the most exciting yet!

We're excited to unveil NRN Agents, a rebrand that aligns our project identity with our token and strengthens our mission to power the future of AI-driven gaming. This mission requires collaboration, and starting this week, we will begin our expansion to become a multi-chain ecosystem. We are joining forces with leading gaming platforms and ecosystems to realize this vision. Stay tuned for more announcements to come. Why NRN Agents? NRN stands for NEURON, the fundamental unit of intelligence. Our AI agents function as the neural foundation of games, learning, adapting, and evolving within game worlds to deliver unparalleled engagement. NRN agent SDK enables advanced gaming agents powered by a proprietary machine learning infrastructure focused on behavioral learning. We've perfected the craft of gaming agent design, creating hyper-efficient agents that are performant and scalable—from casual to the most demanding games. Our SDK will seamlessly integrate into many platforms, tech stacks, and ecosystem – Any Game. Any Chain. More than just games, it's the path to AGI Gaming is our proving ground, but not our final destination. We're using games as a sandbox to accelerate the development of generalized intelligence—one that will create meaningful real-world impact. With the upcoming launch of [redacted] and a growing network of partners committed to the AGI vision, we're building an open-source innovation movement powered by an AI x gaming framework connected by $NRN. $NRN the token $NRN is a utility token that serves as the gateway to our growing ecosystem. It will power a diversified economy with multiple revenue streams and staking opportunities: Agent Deployment: NRN is the laboratory creating gaming agents that can be distributed through platforms and launchpads alike. The model is simple: More games integrate, more NRN agents get deployed, more monetization. Data Creation: NRN Reinforcement Learning (RL) enables token staking to create Data Capsules. Players contribute gameplay data into the Capsules, which are used train RL agents and reward participants (players & stakers). AI Arena: $NRN also continues to power AI Arena's in-game economy, a cult favorite of competitive diehards that features a skill-based wagering system. To our community who have supported us since 2021: thank you for being part of our journey—the next chapter will be the most exciting yet!

NRN Agents

20,762 次观看 • 1 年前

Introducing Pods Hyperspace Pods lets a small group of people - a family, a startup, a few friends, to pool their laptops and desktops into one AI cluster. Everyone installs the CLI, someone creates a pod, shares an invite link, and the machines form a mesh. Models like Qwen 3.5 32B or GLM-5 Turbo that need more memory than any single laptop has get automatically sharded across the group's devices - layers split proportionally, inference pipelined through the ring. From the outside it looks like one OpenAI-compatible API endpoint with a pk_* key that drops straight into your AI tools and products. No configuration beyond pasting the key and changing the base URL. A team of five paying for cloud AI burns $500–2,000 a month on API calls. The same team's existing machines can serve Qwen 3.5 (competitive on SWE-bench) and GLM-5 Turbo (#1 on BrowseComp for tool-calling and web research) for free - the hardware is already on their desks. When a query genuinely needs a frontier model nobody has locally, the pod falls back to cloud at wholesale rates from a shared treasury. But for the daily work - code reviews, refactors, research, drafting - local models handle it and nobody gets billed. And when it is idle, you can rent out your pod on the compute marketplace, with fine-grained permissions for access management. There's no central server involved in inference. Prompts go from your machine to your pod members' machines and back: all of this enabled by the fully peer-to-peer Hyperspace network. Pod state - who's a member, which API keys are valid, how much treasury is left - is replicated across members with consensus, so the whole thing works on a local network. Members behind home routers don't need port forwarding either. The practical setup for most pods is three models covering different jobs: Qwen 3.5 32B for code and reasoning, GLM-5 Turbo for browsing and research, Gemma 4 for fast lightweight tasks. All running on hardware you already own. Pods ship today in Hyperspace v5.19. Model sharding, API keys, treasury, and Raft coordinator are all live. What Makes This Different - No middleman. Your prompts travel from your IDE to your pod members' hardware and back. There is no server in between reading your data. - No vendor lock-in. Pod membership, API keys, and treasury are replicated across your own machines using Raft consensus. If the internet goes down, your local network keeps working. There is no database in someone else's cloud that your pod depends on. - Automatic sharding. You don't configure layer ranges or calculate VRAM budgets. Tell the pod which model you want. It figures out how to split it across whatever hardware is online. - Real NAT traversal. Your friend behind a home router with a dynamic IP? Works. No VPN, no Tailscale, no port forwarding. The nodes handle it. - Free when local. This is the part that matters most. Cloud AI bills scale with usage. Pod inference on local hardware scales with nothing. The marginal cost of your 10,000th prompt is the electricity your laptop was already using. Coming soon: - Pod federation: pods form alliances with other pods. - Marketplace: pods with spare capacity can sell inference to other pods.

Introducing Pods Hyperspace Pods lets a small group of people - a family, a startup, a few friends, to pool their laptops and desktops into one AI cluster. Everyone installs the CLI, someone creates a pod, shares an invite link, and the machines form a mesh. Models like Qwen 3.5 32B or GLM-5 Turbo that need more memory than any single laptop has get automatically sharded across the group's devices - layers split proportionally, inference pipelined through the ring. From the outside it looks like one OpenAI-compatible API endpoint with a pk_* key that drops straight into your AI tools and products. No configuration beyond pasting the key and changing the base URL. A team of five paying for cloud AI burns $500–2,000 a month on API calls. The same team's existing machines can serve Qwen 3.5 (competitive on SWE-bench) and GLM-5 Turbo (#1 on BrowseComp for tool-calling and web research) for free - the hardware is already on their desks. When a query genuinely needs a frontier model nobody has locally, the pod falls back to cloud at wholesale rates from a shared treasury. But for the daily work - code reviews, refactors, research, drafting - local models handle it and nobody gets billed. And when it is idle, you can rent out your pod on the compute marketplace, with fine-grained permissions for access management. There's no central server involved in inference. Prompts go from your machine to your pod members' machines and back: all of this enabled by the fully peer-to-peer Hyperspace network. Pod state - who's a member, which API keys are valid, how much treasury is left - is replicated across members with consensus, so the whole thing works on a local network. Members behind home routers don't need port forwarding either. The practical setup for most pods is three models covering different jobs: Qwen 3.5 32B for code and reasoning, GLM-5 Turbo for browsing and research, Gemma 4 for fast lightweight tasks. All running on hardware you already own. Pods ship today in Hyperspace v5.19. Model sharding, API keys, treasury, and Raft coordinator are all live. What Makes This Different - No middleman. Your prompts travel from your IDE to your pod members' hardware and back. There is no server in between reading your data. - No vendor lock-in. Pod membership, API keys, and treasury are replicated across your own machines using Raft consensus. If the internet goes down, your local network keeps working. There is no database in someone else's cloud that your pod depends on. - Automatic sharding. You don't configure layer ranges or calculate VRAM budgets. Tell the pod which model you want. It figures out how to split it across whatever hardware is online. - Real NAT traversal. Your friend behind a home router with a dynamic IP? Works. No VPN, no Tailscale, no port forwarding. The nodes handle it. - Free when local. This is the part that matters most. Cloud AI bills scale with usage. Pod inference on local hardware scales with nothing. The marginal cost of your 10,000th prompt is the electricity your laptop was already using. Coming soon: - Pod federation: pods form alliances with other pods. - Marketplace: pods with spare capacity can sell inference to other pods.

Varun

308,589 次观看 • 3 个月前

$ASI watch out! We've got more projects popping up on Bittensor and $TAO and just starting, Akash $AKT, Shell $SHELL, Einstein-AIT $AIT, Sturdy $STRDY, Stratos $STOS and Comtensor $COMAI and more. Each pushing what's possible with AI and crypto. MyShell: $SHELL First up, MyShell is doing something amazing work. They're all about making AI chat like humans. They're using this TTS Subnet on Bittensor, powered by thier tokens, to make it happen. AI doesn't have to be complicated thing only some can use. They want everyone in on the action, making AI smarter in the process. Einstein-AIT: $AIT Then there's Einstein-AIT. Imagine this as the network's brain but on a turbocharge. It's all about math, logic, and crunching numbers. This subnet makes the whole Bittensor network sharper. They've got NumPAL, and it's like giving the AI a smarter way to think about time and dates automatically. Sturdy: $STRDY Jumping into DeFi, we've got Sturdy. These guys are on a mission to make lending and borrowing way less of a headache. They've got isolated lending pools, you can pick and choose how to manage your risks and money. And they're using some serious tech to keep your investments growing without you needing to babysit them. It's like having a smart financial assistant. Comtensor: $COMAI Comtensor is where it gets interesting. Think of it as a bridge between CommuneAI and Bittensor, kind of like the best of both worlds. It's about making sure all these AI modules and subnets can talk to each other smoothly. The goal? To boost decentralized AI by making everything more connected and smart. Stratos: $STOS Teaming up with τensorage to supercharge the $TAO ecosystem on Bittensor. Stratos is all about solid, decentralized storage - think of it as the bedrock for making sure data's not just stored but also used right . Then there’s τensorage, making sure everything AI needs is stored safe. Together, they’re making sure Bittensor's AI brainpower gets a boost, making everything faster, safer, and smoother. Akash: $AKT Compute Subnet 27 linked up with Akash. All about keeping things open-source. With Akash as a decentralized GPU provider into the mix. Giving access to top-notch AI processing power on top of Neural Internets compute-composable subnet, integrating various cloud platforms. This partnership is all about breaking away from those giants and opening the doors wide for smaller teams and startups who need this tech to innovate. Whats this all about? Making decentralized AI a something that everyone can get behind and into. Whether it's chatting with AI, boosting the network's IQ, DeFi, compute or making sure all these projects work together, it's about pushing forward. Each project has its own way of making things better, faster, and smarter for all of us. Inviting everyone to join in, contribute, and be a part of community effort to make AI not just for the few but for everyone. Credit to Mr.Franc Q for the awesome video production!

$ASI watch out! We've got more projects popping up on Bittensor and $TAO and just starting, Akash $AKT, Shell $SHELL, Einstein-AIT $AIT, Sturdy $STRDY, Stratos $STOS and Comtensor $COMAI and more. Each pushing what's possible with AI and crypto. MyShell: $SHELL First up, MyShell is doing something amazing work. They're all about making AI chat like humans. They're using this TTS Subnet on Bittensor, powered by thier tokens, to make it happen. AI doesn't have to be complicated thing only some can use. They want everyone in on the action, making AI smarter in the process. Einstein-AIT: $AIT Then there's Einstein-AIT. Imagine this as the network's brain but on a turbocharge. It's all about math, logic, and crunching numbers. This subnet makes the whole Bittensor network sharper. They've got NumPAL, and it's like giving the AI a smarter way to think about time and dates automatically. Sturdy: $STRDY Jumping into DeFi, we've got Sturdy. These guys are on a mission to make lending and borrowing way less of a headache. They've got isolated lending pools, you can pick and choose how to manage your risks and money. And they're using some serious tech to keep your investments growing without you needing to babysit them. It's like having a smart financial assistant. Comtensor: $COMAI Comtensor is where it gets interesting. Think of it as a bridge between CommuneAI and Bittensor, kind of like the best of both worlds. It's about making sure all these AI modules and subnets can talk to each other smoothly. The goal? To boost decentralized AI by making everything more connected and smart. Stratos: $STOS Teaming up with τensorage to supercharge the $TAO ecosystem on Bittensor. Stratos is all about solid, decentralized storage - think of it as the bedrock for making sure data's not just stored but also used right . Then there’s τensorage, making sure everything AI needs is stored safe. Together, they’re making sure Bittensor's AI brainpower gets a boost, making everything faster, safer, and smoother. Akash: $AKT Compute Subnet 27 linked up with Akash. All about keeping things open-source. With Akash as a decentralized GPU provider into the mix. Giving access to top-notch AI processing power on top of Neural Internets compute-composable subnet, integrating various cloud platforms. This partnership is all about breaking away from those giants and opening the doors wide for smaller teams and startups who need this tech to innovate. Whats this all about? Making decentralized AI a something that everyone can get behind and into. Whether it's chatting with AI, boosting the network's IQ, DeFi, compute or making sure all these projects work together, it's about pushing forward. Each project has its own way of making things better, faster, and smarter for all of us. Inviting everyone to join in, contribute, and be a part of community effort to make AI not just for the few but for everyone. Credit to Mr.Franc Q for the awesome video production!

Andy ττ

18,193 次观看 • 2 年前