That's a hammer time again - just another prop... from recent random scans - full PBR stack, automated capture, zero manual cleanup - just plug & play in your engine. We provide top quality 3D scanning services for games, film, fashion, and e-commerce.show more

McGavish
19,030 Aufrufe • vor 11 Monaten
We can 3D scan even the hardest objects -... dark, low-contrast, and nearly featureless surfaces are no longer a challenge - all with full PBR material stack. Need this level of precision for your production? Let me know! #photogrammetry #photometryshow more

McGavish
45,100 Aufrufe • vor 1 Jahr
Scanning large surface with PBR maps? No problem! Still... polishing the methodologies and approach but initial tests are very promising. Here is a 130 x 50 cm tabletop, tricky reflective surface especially if we are aiming for smooth reconstruction.show more

McGavish
18,326 Aufrufe • vor 1 Jahr
New scan sample, old wooden container scanned using our... advanced robotic scanner developed at INVOLV3D and inciprocal software for PBR material processing. You can literally smell this wood! #3dscanning #pbr #b3dshow more

McGavish
12,902 Aufrufe • vor 1 Jahr
🚨ELON'S X-GAMING PLAY: AI REVOLUTION COMING TO YOUR FEED... Elon just sneak-revealed "xAI Gaming" - not just another gaming platform, but an AI-powered system that adapts gameplay to your personal style in real-time. The tech innovator's recruiting top talent, seeking devs to build "super fun, revolutionary AI video games" directly on X. This isn't just tech disruption - it's Elon targeting yet another calcified industry. His history? Making space affordable, EVs cool, and now possibly making games actually fun again. Elon: "Send examples to [email protected]" Social media evolving from posts to play - the masterstroke nobody saw coming. Source: xAI Gamingshow more

Mario Nawfal
135,526 Aufrufe • vor 1 Jahr
🔥 We just shipped a full end-to-end character animation... platform 🔥 Here's the full rundown: AI Auto-Rig your character meshes. Text-Generate new characters from your brain with our Luma Genie integration. Store your characters for easy access. Apply 1,000+ animations from our library to your characters. Upload and visualize your own motion data from any motion capture source Use your MoCap data on any character in any 3D program All on HEAT More below 👇show more

HEAT
24,932 Aufrufe • vor 1 Jahr
'Member how back in the day you could just... pop a cartridge or disc in your console and play a game? Kid has been waiting for me to get home from work all day so we could play Street Fighter 6, and it's a 90 GIGAFUGGINBYTE DOWNLOAD? I have fiber internet, hardwired to the X-Box, talm'out being ready at breakfast time tomorrow. Physical games aren't even physical games anymore. Send me back to 1998.show more

Tusk 🦣
428,105 Aufrufe • vor 1 Monat
🚨 Nexar just had a makeover… and it’s nothing... short of revolutionary. We didn’t just improve our swap aggregator. We rebuilt it from the ground up to give traders what they’ve been missing. 🔥 2,000+ Tokens: A massive expansion of trading options. 🔥 7 Active Liquidity Providers: Deeper liquidity, tighter spreads, and best prices. 🔥 Auto Route Selection: The smart engine finds the most efficient path instantly. 🔥 Manual Route Control – For the pros who want to optimize their swaps themselves. 🔥 Refund Guarantee: If your swap fails, your funds come right back. No losses. 🔥 Fresh New Design: Intuitive, fast, and built for serious trading. 🔥 USD Value Display: Know exactly what your swap is worth in real-time. This isn’t just a new version. It’s the future of aggregation. More tokens. More liquidity. More security. More control. With this upgrade, Nexar isn’t competing with other aggregators. It’s leaving them behind. 🚀 Welcome to the most powerful swap aggregator in DeFi. Welcome toshow more

Privix
16,758 Aufrufe • vor 10 Monaten
In the summer of 2023, I cold emailed Jensen... Huang and asked to capture a NeRF of him at SIGGRAPH. He responded in about an hour and said yes. A radiance field is, in the simplest terms, akin to a 3D photograph. A moment in time, so completely reconstructed that you can move through it and see it from angles the original cameras never occupied. NeRFs were the original method. Gaussian splatting, which debuted at that same SIGGRAPH, has since become the dominant form of radiance field. I called my late friend James, who told me we needed to begin practicing immediately. We ran capture after capture for weeks until we consistently got the capture time down to ~30 seconds with one camera. Later, in a hallway at the LA Convention Center during SIGGRAPH, I captured the portrait you're seeing now, a full 360° gaussian splat of Jensen, rendered here as a 2D flythrough. Afterward, I continued the conversation with him and members of his team to make the case for radiance fields as a foundational representation for imaging. To my surprise, they listened. Three years later, NVIDIA has several works, including NuRec, fVDB, 3DGRUT, and gsplat all utilizing radiance fields. The landscape has evolved enough that the reasoning is obvious. Gaussian splatting has begun to ship across some of the world’s largest industries, including autonomous vehicles, AEC, geospatial, media and entertainment, robotics, e-commerce, hospitality. It’s become clear that lifelike 3D is here to stay. And yet I think we will look back and be disappointed by how late we started taking 3D portraits of the people around us, just like how we have sparse 2D photos of our grandparents and great grandparents. We have billions of photographs of the people we know and love, but almost no radiance fields of them. I'll be returning to SIGGRAPH in LA where this was initially captured three years ago, with the landscape looking significantly different. Radiance fields are more under deployed than ever relative to what they can do. I'm excited for the future of imaging, and for 2D to transition into 3D. I have a few things up my sleeve that I think will make that case plainly.show more

Radiance Fields
17,663 Aufrufe • vor 1 Monat
✨ Made a new mini feature on Photo AI:... [ Grab from 3d model ] So the problem is we're at that stage in time (typical for AI) where image-to-3d models are not good enough but are fun to play with, but we know they'll be good enough in 1-2 years With [ Make 3d model ] you already can turn any Photo AI pic into a 3d model but it still looks hyper clunky and deformed, but it works! One cool idea I had to make that more useful and made now: Let people make a 3d model then change the view of the it with the 3d viewer, then press [ o ] and it grabs a frame of the 3d That image you can then [ Remix ] (img2img), and it becomes a real photo again and that in turn you can then turn into a video again with [ Make video ] So that essentially gives you a fully freeform camera position control to take photos with One thing I need to fix is the background/skybox, I kinda need to take the original photo and remove the person and just get the background for the 3d model viewer, in this case it should be white, but it's a start!show more

@levelsio
119,210 Aufrufe • vor 1 Jahr
🚨 Attention Community! It's Time to Act! 🚨 Fellow... players, we've been patient, but now it's time to stand up against the unfair practices of the Hamster Kombat (HK) team. Here's what's been happening: 1. 📱 Games flooded with low-quality ads 2. 🏆 Random "cheater" achievements without explanation 3. 💸 Airdrop denial - many of us got ZERO rewards We warned about these unfair practices, but our voices were ignored. Now, it's time for action! 🦾 Our Plan of Resistance: 1. 🚫 Block Hamster Kombat_bot 2. ❌ Unsubscribe from Hamster Kombat and all their social media 3. 🙅♂️ Stop watching their YouTube videos and reading their news Remember: WE are the community. WE made them successful. It's time to show them we're not just hamsters in their wheel! ⏳ Time is of the Essence! We have a short window before the final coin distribution. Let's make our voices heard: - 📣 Complain and block Hamster Kombat_bot - 👋 Unsubscribe from Hamster Kombat Only by standing together can we hope to effect change. If we reduce their subscriber count and views, they might realize that their current approach won't work for Season 2. 💪 Join the Resistance! United, we can send a clear message: treat your community fairly, or lose your community entirely. 📢 Spread the Word! - 🔁 Repost this message to your channels and groups - 📲 Share with your friends who play #Hamster_Kombat - 💬 Discuss this in your gaming communities The more people who join our cause, the stronger our message will be! Share this post, spread the word, and let's show them the true power of our hamster army! 🐹✊ #HamsterRevolution #FairPlayForAll #HKResistance #ShareAndRepost #Scam #hamster_Kombat_boycott #HAMSTERKOMBATSCAMshow more

Pioneer
43,458 Aufrufe • vor 1 Jahr
watched a guy stream yesterday. 1000 games this season.... same rank. but here's what he did: posted a highlight clip. "consistency is key" talked about his "grind mindset" made a tier list video about matchups. created content about his journey. everyone in chat: "grind god, keep pushing" but nobody asked: why are you still here? 1000 games. still master tier. that's not a grind. that's an addiction. here's the brutal truth: grinding FEELS productive. you're playing. you're improving. you're getting better. except you're not. you're just busy. the highlights you post? that's 1 out of 50 games. the other 49? you're making the same mistakes. the same positioning. the same macro decisions. but the GRIND itself feels good. because grind = progress in your mind. virgin grinder: plays 100 games, reviews nothing, posts highlights, calls it a grind chad improver: plays 10 games, reviews every one, makes changes, climbs but the virgin FEELS like he's doing more. feels like he's working harder. feels like he DESERVES to climb. here's what actually happens: you play 1000 games without CHANGING anything. your brain gets addicted to the effort. to the routine. to the FEELING of grinding. "i played 8 hours today" → dopamine hit im up 50 lp! so. you're still not good at the game the disconnect breaks your brain so you post another highlight and tell yourself "consistency" consistency at WHAT? being hardstuck? watched another guy play 200 games. changed his mindset. climbed 2 divisions. why? because he didn't grind. he ADAPTED. the grind is EASY. you just queue. you just play. you just show up. but actually IMPROVING? that's hard. that's thinking. that's admitting you were wrong. that's changing habits. most of you will never do that because the grind is COMFORTABLE. it FEELS like you're working. it FEELS like progress. it FEELS like you deserve the climb. but more games does not equal results. your friends see you playing 8 hours a day and think you're dedicated. but you're not dedicated. you're ADDICTED. addicted to the feeling of "grinding". addicted to the routine. here's the uncomfortable truth: if you've played 500+ games and haven't ranked up significantly, you're not hardstuck. you're COMFORTABLE. you like grinding more than you like climbing. because climbing requires CHANGE and change is terrifying. grinding is safe. grinding has no accountability. grinding lets you post highlights and say "progress" but climbing? climbing forces you to admit: i was wrong. my playstyle is bad. i need to change fundamentally. that's painful. so you grind instead. you grind and you grind and you grind and you tell yourself the climb will come. but it won't. not until you stop grinding and start CHANGING. the saddest part? you have the time. you have the will. you have the mechanics. you just don't have the HONESTY. the honesty to admit 1000 games with zero progress isn't a grind. it's a cry for help disguised as improvement. study the saskio wayshow more

Tony Chau
44,529 Aufrufe • vor 7 Monaten
Rejoice. Just following up with another quick W in... Codex You can now configure your reasoning level in plan mode separately directly from your config file. This is huge for Plus users who want to plan with high or xhigh reasoning levels, and then switch over to medium reasoning for implementation, without needing the slash command. This is a great way to save your usage limits, and now it happens automatically. Even if you're on Pro, this should make you very happy. Prior to this, it was switching you automatically to medium every time you planned, which was pretty annoying. Place this near the top of your config file: plan_mode_reasoning = "high" (or xhigh) 0.150.0 is a massive quality of life update. They're clearly listening. This time I am shouting out Charlie. 🙏show more

am.will
25,887 Aufrufe • vor 4 Monaten
Throughout my journey in developing multimodal models, I’ve always... wanted a framework that lets me plug & play modality encoders/decoders on top of an auto-regressive LLM. I want to prototype fast, try new architectures, and have my demo files scale effortlessly — with full support for parallelism and optimization. Not just to hack⚙️, but also to scale🚀. So finally we built it for ourselves. LMMs-Engine: a lean, efficient framework built to train unified multimodal model at scale. From Qwen LLM, VLM, LLaVA-OV, and WanVideo, to unified models like Qwen-Omni and BAGEL — plus Linear-Attn GDN and research prototypes like RAE and SiT - all under one modular system that seamlessly integrates diverse datasets and optimization strategies. Powered by FSDP2 multi-dim parallelism, Ulysses sequence parallel, Flash-Attention, Liger Kernels, and Native Sparse Attention (also with bonus support for the Muon optimizer for all models).show more

Brian Li
54,768 Aufrufe • vor 8 Monaten
3… 2… 1… Together! No Rest for the Wicked... Together is LIVE. Our co-op update is available right now with a Free Steam Weekend until Jan 26 and 40% off. No passes. No paywalls. Just you, your Realm, and the consequences you create. This update pushed us harder than anything we’ve shipped before. We tested, broke, rebuilt, and tested again to make sure co-op in Wicked feels earned, dangerous, and meaningful, not just “more damage with friends.” For the first time ever, Moon Studios is shipping a full co-op experience. And we did it the Wicked way. FREE private realms. A shared world that remembers. Solo and co-op fully balanced. No compromises. Bring your friends. Or walk Isola Sacra alone. Every quest, every boss, every mistake belongs to you. Don’t let your friends miss this - Play for free now on Steam -show more

No Rest for the Wicked
164,122 Aufrufe • vor 5 Monaten
Look at these photos Falcon 9 soaring into the... sky. Falcon Heavy and Starship ready for the next mission. Starlink antennas simple, clean, ready for any terrain. The Boring Company’s machine that looks like industrial sculpture. Futuristic tunnels full of Teslas. And the man whose vision stands behind it all. It’s not a coincidence. It’s not just “technology.” It’s class itself. Zero unnecessary ornaments. Zero exaggeration. Just a pure, very high-quality product. You hold it in your hand, step inside, or look at it and immediately feel that everything is refined to the last detail. It works. It looks right. It lasts. Elon Musk has this rare quality: he’s a man with class. He doesn’t flaunt luxury or add things just “because they photograph well.” He chooses simplicity but the kind that’s executed perfectly. And he transferred exactly that same philosophy to his companies. The result? Engineering at the level of fashion. Design that’s modern yet has timeless elegance. Products that don’t just do the job they impress with their quality and quiet confidence. It’s no accident that the rocket looks like a work of art. That a Tesla interior feels minimalist yet luxurious. That a Starlink dish looks like it was designed by someone who understands aesthetics, not just connectivity. They all share one common thread: class. Not the loud, flashy kind. The real kind quiet, self-assured, and uncompromising. If you value things that are simply well-made without unnecessary bling, but full of character and top-tier quality this is the essence of what Elon has built. Elon Musk Starlink The Boring Company SpaceX Tesla Neuralinkshow more

Natalia El Ferrara
367,669 Aufrufe • vor 1 Tag
First fully ML-framework-free 3D Gaussian Splatting implementation in LichtFeld... Studio. I’ve completed the migration of the full training pipeline to a custom CUDA-based tensor library. No PyTorch, no LibTorch, no autograd. Every gradient is implemented by hand, either through CUDA kernels or minimal abstractions on top. This makes it the first full training setup for 3D Gaussian Splatting with zero dependencies on existing ML frameworks. It’s not just about independence, it's about control! We now manage every byte of GPU memory, which opens the door to tighter optimization and finer performance tuning. The framework footprint is minimal, without pulling in gigabytes of ML runtime code that was never designed for real-time or graphics-driven applications. A few modules, such as the metrics and 3DGUT interfaces, are still being ported, and some operations are temporarily naïve, so performance is not yet on par with master. But this refactor lays the groundwork for: - A fully self-contained binary - Fine-grained memory optimization - Easier experimentation without the weight of an ML stack We’re getting close.show more

MrNeRF
50,539 Aufrufe • vor 8 Monaten
🚨BREAKING… the top-performing 5m & 15m Polymarket Clawdbot setup... just became public Sounds insane? 100%. Unreal? NOT at all. If you’re active on Polymarket, this should have your FULL attention. A random late night turned into a small wallet launching a fully automated machine that expanded into ~$1.6M in profit No insider access No affiliation with the Polymarket team Just a developer operating a bot directly connected to Polymarket Profile → Copytrade → I monitored this wallet for weeks and honestly, it barely looked real No narrative setups No discretionary decisions Zero manual execution Everything is fully automated His FULL strategy: 1. 5 & 15-minute BTC & ETH latency arbitrage The bot trades ultra-short Bitcoin and Ethereum markets with 5 & 15-minute expirations - and similar logic applies to fast 5m markets often associated with Clawdbot-style execution. When BTC moves on Binance, Polymarket pricing reacts slower. For around 30 seconds, odds reflect stale data. The system enters during that gap, when YES + NO combined is below $1, waits for repricing, and exits the moment the market corrects. No predictions, no bias - just harvesting mispriced odds 2. Automation over reaction When volatility spikes, humans pause. The system doesn’t. It triggers instantly when the window opens. No emotion, no hesitation, no missed fills. By the time manual traders click, the inefficiency has already disappeared 3. Scale through repetition Each trade earns small spreads, not headline wins. But automation allows continuous execution at scale, every 15 minutes - and on faster 5m rotations running 24/7 without burnout Scale is the edge 19,021 trades placed - irrelevant on their own. Together, they compounded into $1,624,305 in profit, with a largest single gain of $48K and an equity curve that trends almost vertically Bottom line Bots are already competing in a quiet arms race on Polymarket, especially across 5m and 15m markets where Clawdbot-style systems dominate Most traders try to forecast what’s next These systems monetize inefficiencies in real time And as long as latency and structural gaps exist, autonomous bots will continue extracting valueshow more

Shelpid.WI3M
225,724 Aufrufe • vor 4 Monaten
90% of "AI developers" just download pre packaged GGUF... files from Hugging Face, hit run, and call it a day. The top 10% know how to pull the raw safetensors, run the math, and quantize massive models into Q4_K_M themselves. If you think llama.cpp can only execute models, you’re missing the best part of the open source ecosystem. It’s a high performance optimization suite. Manually stripping 69% of the VRAM footprint off a brand new model architecture is where real infrastructure value is made. If you want to actually master local inference and deploy models like Google’s massive Gemma 4 12B it on consumer NVIDIA hardware using llama.cpp, you need to learn this pipeline. Let's build it. I just took the raw 22.7 GB Gemma 4 baseline and manually compressed it down to a 7.02 GB Q4_K_M GGUF artifact using llama.cpp. That is a 69% reduction in footprint. No quality loss. No VRAM bottlenecks. Just native, hardware accelerated C++ inference running a full 2,50,000 token context window on a dual NVIDIA Tesla T4 setup. Stop melting your VRAM on unoptimized weights and stop relying on other people's pipelines. Own your stack. I mapped this entire architecture from dynamic binary fetching to raw quantization and real time GPU streaming into a single, bulletproof notebook. Notebook link is in the comments below. Bookmark this blueprint for your next deployment and tell me which quantization works best for your workflow and model.show more

Alok
60,378 Aufrufe • vor 6 Tagen