Загрузка видео...

Не удалось загрузить видео

Возникла проблема при загрузке этого видео. Это может быть связано с временными проблемами сети или видео может быть недоступно.

На главную

An open source developer connecting all types of hardware using DimOS. Snapchat Spectacles + Robot dog vibe coded in <1 day. Play with hardware and physical space like connecting lego bricks.

stash

8,654 subscribers

24,078 просмотров • 3 месяцев назад •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

🚀Our New Paper on Open-Source Bipeda Robot MEVITA is out! All components can be procured through e-commerce, and the robot is built with a minimal number of parts. All hardware, software, and learning environment are released as open source. 🌐 Thread👇

🚀Our New Paper on Open-Source Bipeda Robot MEVITA is out! All components can be procured through e-commerce, and the robot is built with a minimal number of parts. All hardware, software, and learning environment are released as open source. 🌐 Thread👇

Kento Kawaharazuka / 河原塚健人

48,768 просмотров • 1 год назад

Announcing our commercial partnership with Booster Robotics Booster builds humanoid robot hardware, OS, and developer tools to make humanoid robots more affordable, reliable, and practical. The partnership centers on using simulation to multiply the value of real-robot data—expanding teleoperation demonstrations into scalable training data across diverse tasks and scenes. This joint effort powers sim-real co-training and foundation-model development, accelerating progress from hardware iteration to deployable robot policies. Together, we're building simulation‑powered data infrastructure for Physical AI — making scalable training data accessible to model developers and the broader robotics ecosystem.

Announcing our commercial partnership with Booster Robotics Booster builds humanoid robot hardware, OS, and developer tools to make humanoid robots more affordable, reliable, and practical. The partnership centers on using simulation to multiply the value of real-robot data—expanding teleoperation demonstrations into scalable training data across diverse tasks and scenes. This joint effort powers sim-real co-training and foundation-model development, accelerating progress from hardware iteration to deployable robot policies. Together, we're building simulation‑powered data infrastructure for Physical AI — making scalable training data accessible to model developers and the broader robotics ecosystem.

Axis Robotics

70,876 просмотров • 1 месяц назад

Meet Vulcan, our first robot with a sense of touch. 🤖 🖐️ This innovative system combines physical AI with novel hardware solutions—like computer vision, tactile sensing, and machine learning—to reimagine how we complete orders for our customers. With the ability to pick and stow approximately 75% of all various item types we store at our fulfillment centers, and at speeds comparable to our frontline employees, Vulcan can assist by handling inventory in harder-to-reach areas—making our fulfillment centers both safer and more efficient.

Meet Vulcan, our first robot with a sense of touch. 🤖 🖐️ This innovative system combines physical AI with novel hardware solutions—like computer vision, tactile sensing, and machine learning—to reimagine how we complete orders for our customers. With the ability to pick and stow approximately 75% of all various item types we store at our fulfillment centers, and at speeds comparable to our frontline employees, Vulcan can assist by handling inventory in harder-to-reach areas—making our fulfillment centers both safer and more efficient.

Amazon

119,386 просмотров • 1 год назад

Physical AI won't just be limited to controlling robots and spatial computing; it will usher in a new era of machine design. You will be able to "vibe design" a robot - or a part of a robot - or a machine that manufactures robot parts - using high-level specifications such as preferred architecture, material constraints, cost constraints, supply chain and geographic limitations and scalability. AI will provide preliminary designs that human experts can tweak and tune, corresponding supplier catalogs, and machining options. It will also project the talent and CAPEX required at various phases of hardware development.

Physical AI won't just be limited to controlling robots and spatial computing; it will usher in a new era of machine design. You will be able to "vibe design" a robot - or a part of a robot - or a machine that manufactures robot parts - using high-level specifications such as preferred architecture, material constraints, cost constraints, supply chain and geographic limitations and scalability. AI will provide preliminary designs that human experts can tweak and tune, corresponding supplier catalogs, and machining options. It will also project the talent and CAPEX required at various phases of hardware development.

The Humanoid Hub

48,715 просмотров • 7 месяцев назад

Building robots that can effectively operate alongside human workers is difficult. 🛠️ Advances in open-source physics, open foundation models, and frameworks are helping accelerate physical #AI deployment. ✔️ Newton Physics Engine, an open-source GPU-powered simulation built on OpenUSD, speeds up robot learning for advanced manipulation and mobility. ✔️ NVIDIA Cosmos Reason, an open reasoning vision language model, gives robots the ability to think like humans using prior knowledge, common sense and physics ✔️NVIDIA Isaac GR00T N1.6, an open robot foundation model, enables humanoids to understand ambiguous instructions Leading robotics developers including Agility Robotics, Lightwheel, Mentee Robotics, UniversalRobots, and Wandelbots are adopting simulation technologies and libraries to accelerate physical AI development and deployment. Omniverse Ambassador Dylan Tobin built an AI chatbot trained on Isaac Sim workflows, helping devs navigate Omniverse faster. Read the full blog 👉

Building robots that can effectively operate alongside human workers is difficult. 🛠️ Advances in open-source physics, open foundation models, and frameworks are helping accelerate physical #AI deployment. ✔️ Newton Physics Engine, an open-source GPU-powered simulation built on OpenUSD, speeds up robot learning for advanced manipulation and mobility. ✔️ NVIDIA Cosmos Reason, an open reasoning vision language model, gives robots the ability to think like humans using prior knowledge, common sense and physics ✔️NVIDIA Isaac GR00T N1.6, an open robot foundation model, enables humanoids to understand ambiguous instructions Leading robotics developers including Agility Robotics, Lightwheel, Mentee Robotics, UniversalRobots, and Wandelbots are adopting simulation technologies and libraries to accelerate physical AI development and deployment. Omniverse Ambassador Dylan Tobin built an AI chatbot trained on Isaac Sim workflows, helping devs navigate Omniverse faster. Read the full blog 👉

NVIDIA

48,500 просмотров • 1 год назад

Wow! Send A File By Just The Camera! A vibe coder used AI to build a file transfer system that sends data between two phones using only a screen and a camera. One phone displays a new type of animated QR codes while the other scans them to rebuild the file, with no Wi-Fi, Bluetooth, or cables needed. It is fully optical and local. The system uses fountain codes that create each QR frame as a random mix of file data. This keeps transfers working even if some frames are missed, reaching speeds of about 129 KB/s for a 2 MB image. The entire project was built in one night and released as open source. The idea came from a music project where the developer wanted to share MP3 files without streaming or using the same network. Animated QR codes became the solution, showing a creative new way to transfer files with everyday phone hardware. GitHub link:

Wow! Send A File By Just The Camera! A vibe coder used AI to build a file transfer system that sends data between two phones using only a screen and a camera. One phone displays a new type of animated QR codes while the other scans them to rebuild the file, with no Wi-Fi, Bluetooth, or cables needed. It is fully optical and local. The system uses fountain codes that create each QR frame as a random mix of file data. This keeps transfers working even if some frames are missed, reaching speeds of about 129 KB/s for a 2 MB image. The entire project was built in one night and released as open source. The idea came from a music project where the developer wanted to share MP3 files without streaming or using the same network. Animated QR codes became the solution, showing a creative new way to transfer files with everyday phone hardware. GitHub link:

Brian Roemmele

16,719 просмотров • 1 месяц назад

hi all, excited to join! i'm building an expressive mini "shoggoth" robot which will eventually be hooked up to gpt4o realtime voice. i'm currently working on the low-level policies, which are trained in a mujoco simulation with RL. to delay working on raw-pixels for now, i trained a pose-estimation model using deeplabcut and triangulate the position in 3d space using the stereo cameras. eventually, i'll use gpt4o's tool calling capabilities to activate several of these policies (closed and open loop) based on the dialog flow! captions: manual actuation of the tentacle / 3d pose estimation / target design

hi all, excited to join! i'm building an expressive mini "shoggoth" robot which will eventually be hooked up to gpt4o realtime voice. i'm currently working on the low-level policies, which are trained in a mujoco simulation with RL. to delay working on raw-pixels for now, i trained a pose-estimation model using deeplabcut and triangulate the position in 3d space using the stereo cameras. eventually, i'll use gpt4o's tool calling capabilities to activate several of these policies (closed and open loop) based on the dialog flow! captions: manual actuation of the tentacle / 3d pose estimation / target design

Matthieu LC

45,587 просмотров • 1 год назад

Most people use Linux every day. But Very few understand what actually happens after they press the power button. >>>Here’s the sequences Linux goes through before you get the login screen. Power button pressed → BIOS or UEFI initializes hardware and runs POST. Firmware locates the bootloader from disk. Bootloader loads the Linux kernel and initramfs into RAM. Kernel decompresses and takes control of the CPU. Memory management and the scheduler are initialized. Device drivers load to communicate with hardware. Temporary root filesystem mounts from initramfs. PID 1 starts as systemd and userspace begins. System services and daemons start in order. Login prompt or GUI becomes available. You run a command and it becomes a process with a PID. Process runs in user mode with limited privileges. When hardware access is needed, a system call is made. CPU switches from user mode to kernel mode. Kernel validates the request and executes through drivers. Result is returned back to user space. Scheduler continuously allocates CPU time across processes. Virtual memory isolates and protects processes. Filesystem manages data abstraction over storage. Network stack processes packets inside the kernel. Linux is the kernel coordinating hardware, processes, memory, and security through strict privilege control.

Most people use Linux every day. But Very few understand what actually happens after they press the power button. >>>Here’s the sequences Linux goes through before you get the login screen. Power button pressed → BIOS or UEFI initializes hardware and runs POST. Firmware locates the bootloader from disk. Bootloader loads the Linux kernel and initramfs into RAM. Kernel decompresses and takes control of the CPU. Memory management and the scheduler are initialized. Device drivers load to communicate with hardware. Temporary root filesystem mounts from initramfs. PID 1 starts as systemd and userspace begins. System services and daemons start in order. Login prompt or GUI becomes available. You run a command and it becomes a process with a PID. Process runs in user mode with limited privileges. When hardware access is needed, a system call is made. CPU switches from user mode to kernel mode. Kernel validates the request and executes through drivers. Result is returned back to user space. Scheduler continuously allocates CPU time across processes. Virtual memory isolates and protects processes. Filesystem manages data abstraction over storage. Network stack processes packets inside the kernel. Linux is the kernel coordinating hardware, processes, memory, and security through strict privilege control.

Akhilesh Mishra

35,042 просмотров • 7 месяцев назад

What If One Motor Could Move an Entire Robot Leg? Quaddle takes a very different approach to quadruped mechanics. Instead of using separate motors for the hip and knee, each leg uses a single servo with a mechanical linkage that drives both joints. That cuts the actuator count to just four servos for the whole robot. The interesting part is that the mechanical design does more of the work normally handled by extra actuators. With the right linkage and gait timing, Quaddle can walk, move sideways and spin in place. Less motors. Less wiring. Less weight. More mechanical engineering. Also, the hardware and motion system can be hacked and experimented with. Would you try designing your own leg mechanism around this idea?

What If One Motor Could Move an Entire Robot Leg? Quaddle takes a very different approach to quadruped mechanics. Instead of using separate motors for the hip and knee, each leg uses a single servo with a mechanical linkage that drives both joints. That cuts the actuator count to just four servos for the whole robot. The interesting part is that the mechanical design does more of the work normally handled by extra actuators. With the right linkage and gait timing, Quaddle can walk, move sideways and spin in place. Less motors. Less wiring. Less weight. More mechanical engineering. Also, the hardware and motion system can be hacked and experimented with. Would you try designing your own leg mechanism around this idea?

Praveen Kumar Verma

12,229 просмотров • 10 дней назад

I built a full 3D #lego brick builder using Claude 4.6. Took 12 iterations. Runs entirely in the browser. You pick a brick size, pick a color, and click to place. Snap-to-grid, collision detection, ghost preview, it feels like building with real bricks. But the fun part? Hit one of the template buttons and watch it auto-build a pyramid, a rocket, a house, or an Eiffel Tower. Bricks fly in from random directions, spin through the air, and snap into place with particle bursts. tech stack: → #Threejs for the full 3D scene → #Raycasting for click-to-place → Custom wedge geometry for slope bricks → Quadratic Bézier curves for the fly-in animations → #2d canvas particle system layered on top of the 3D scene → #InstancedMesh for the base plate studs The product potential: this could become a real educational toy. Kids (or adults) building in the browser, sharing creations, loading custom templates. No install, no app store. ( LEGO you may like this one! ) Want to try it? Link in the first comment 👇

I built a full 3D #lego brick builder using Claude 4.6. Took 12 iterations. Runs entirely in the browser. You pick a brick size, pick a color, and click to place. Snap-to-grid, collision detection, ghost preview, it feels like building with real bricks. But the fun part? Hit one of the template buttons and watch it auto-build a pyramid, a rocket, a house, or an Eiffel Tower. Bricks fly in from random directions, spin through the air, and snap into place with particle bursts. tech stack: → #Threejs for the full 3D scene → #Raycasting for click-to-place → Custom wedge geometry for slope bricks → Quadratic Bézier curves for the fly-in animations → #2d canvas particle system layered on top of the 3D scene → #InstancedMesh for the base plate studs The product potential: this could become a real educational toy. Kids (or adults) building in the browser, sharing creations, loading custom templates. No install, no app store. ( LEGO you may like this one! ) Want to try it? Link in the first comment 👇

Hasan Aboul Hasan

13,814 просмотров • 6 месяцев назад

1/ Happy to share UniDisc - Unified Multimodal Discrete Diffusion – We train a 1.5 billion parameter transformer model from scratch on 250 million image/caption pairs using a **discrete diffusion objective**. Our model has all the benefits of diffusion models but now in multimodal space! - flexible compute-quality tradeoff, zero-shot inpainting and editing, better control via classifier-free guidance and lower latency! We open source everything - our code, weights and the training dataset.

1/ Happy to share UniDisc - Unified Multimodal Discrete Diffusion – We train a 1.5 billion parameter transformer model from scratch on 250 million image/caption pairs using a discrete diffusion objective. Our model has all the benefits of diffusion models but now in multimodal space! - flexible compute-quality tradeoff, zero-shot inpainting and editing, better control via classifier-free guidance and lower latency! We open source everything - our code, weights and the training dataset.

Mihir Prabhudesai

105,034 просмотров • 1 год назад

Building an Artificial Casting Engineer (ACE) "Building hardware at the speed of software" remains immensely challenging because the traditional software for engineering, and more specifically manufacturing (Solvers, CAM, etc,) is too damn slow. Introducing Ace-Mini-1, the 1st purpose built AI Casting model from Digital Metal. Ace-Mini-1 is another tiny parameter model fine tuned on casting simulations (filling, solidification, deformation, and more) that cuts an average industry leading solve time of ~65 minutes down to just 0.26 seconds with an average error rate less than 5% across all data. An 8042x speedup in complex CFD with phase change sim time. Ace-Mini-1 allows engineers and agents to close mfg process iteration loops faster, run 100s of simulations in seconds, and optimize geometry and manufacturability of your part.

Building an Artificial Casting Engineer (ACE) "Building hardware at the speed of software" remains immensely challenging because the traditional software for engineering, and more specifically manufacturing (Solvers, CAM, etc,) is too damn slow. Introducing Ace-Mini-1, the 1st purpose built AI Casting model from Digital Metal. Ace-Mini-1 is another tiny parameter model fine tuned on casting simulations (filling, solidification, deformation, and more) that cuts an average industry leading solve time of ~65 minutes down to just 0.26 seconds with an average error rate less than 5% across all data. An 8042x speedup in complex CFD with phase change sim time. Ace-Mini-1 allows engineers and agents to close mfg process iteration loops faster, run 100s of simulations in seconds, and optimize geometry and manufacturability of your part.

Connor Kapoor

18,154 просмотров • 17 дней назад

We've had Beni for a couple of months now, and one word comes to mind: delightful. The standout part was the hardware robustness. Our kids get rough with it, obstacle courses on concrete, dirt, collisions. It tumbles, gets back up, and it's scratched all over, but it has never shown a sign of breaking or throttling. It just keeps going every time. It works right out of the box with a physical remote, and the phone app adds tracking and video recording. Beni captures the imagination. People get the cute vibes the moment it stands up on two wheels. I took it to the REK robot fight event, and the most common reaction was "it's so cute" What excites me most is the possibility, in physical AI, it feels wide open. I can see Beni evolving into a genuinely useful companion that's always around, a personal assistant for you and your family, keeping an eye on the kids while they play outside, auto-capturing memorable moments, even alerting loved ones if it spots a health emergency. The possibilities feel endless. Thanks Shuo Yang and Mondo Robotics for sending one to my family. -Devang

We've had Beni for a couple of months now, and one word comes to mind: delightful. The standout part was the hardware robustness. Our kids get rough with it, obstacle courses on concrete, dirt, collisions. It tumbles, gets back up, and it's scratched all over, but it has never shown a sign of breaking or throttling. It just keeps going every time. It works right out of the box with a physical remote, and the phone app adds tracking and video recording. Beni captures the imagination. People get the cute vibes the moment it stands up on two wheels. I took it to the REK robot fight event, and the most common reaction was "it's so cute" What excites me most is the possibility, in physical AI, it feels wide open. I can see Beni evolving into a genuinely useful companion that's always around, a personal assistant for you and your family, keeping an eye on the kids while they play outside, auto-capturing memorable moments, even alerting loved ones if it spots a health emergency. The possibilities feel endless. Thanks Shuo Yang and Mondo Robotics for sending one to my family. -Devang

The Humanoid Hub

23,920 просмотров • 24 дней назад

introducing the media synthesis museum an active and interactive entity created to preserve generative cultural objects it starts as a Hugging Face organization that contains modern code for old techniques: VQGAN+CLIP, DALL-E Mini, ModelScope Video, Stable Diffusion 1.5 you can use old models/technique directly on Spaces or locally on modern hardware/software, without the old "colab notebook" dependency rot the idea is to really preserve and make accessible those artifacts and aesthetics - both open source. In the future, we hope to also have also historically relevant closed source like DALL-E 1 and DALL-E 2 from OpenAI, older Midjourney models, older Runway apps/techniques/models (cc Cristóbal Valenzuela David Sam Altman)

introducing the media synthesis museum an active and interactive entity created to preserve generative cultural objects it starts as a Hugging Face organization that contains modern code for old techniques: VQGAN+CLIP, DALL-E Mini, ModelScope Video, Stable Diffusion 1.5 you can use old models/technique directly on Spaces or locally on modern hardware/software, without the old "colab notebook" dependency rot the idea is to really preserve and make accessible those artifacts and aesthetics - both open source. In the future, we hope to also have also historically relevant closed source like DALL-E 1 and DALL-E 2 from OpenAI, older Midjourney models, older Runway apps/techniques/models (cc Cristóbal Valenzuela David Sam Altman)

apolinario (poli)

11,143 просмотров • 2 месяцев назад

MARVEL JUST PLUCKED $5,000,000 OUT OF THEIR VFX BUDGET TO BUY OUT A 20-YEAR-OLD WHO REBUILT SPIDER-MAN IN 120 HOURS Disney spent $250,000,000 and forced 400 animators into crunch to render a masked, miserable hero. A broke student booted a single neural engine and built a maskless, overjoyed superhero in 5 days with zero render software. Marvel panicked, realized his pipeline beat their internal renders, and dropped a $5M buyout. Here is the exact technical stack that forced a $150B studio to write the check: > ZERO MOCAP HARDWARE - Driven by open-source spatial pose estimators. No physical tracking suits or clean plates required. > MID-AIR FACIAL LOCK - Locked consistent face features across high-speed lighting using a hyper-focused ControlNet depth harness. > LIQUIDATED CGI PIPELINES - Replaced 3D environments, manual keyframes, and render farms with real-time latent frame interpolation.

MARVEL JUST PLUCKED $5,000,000 OUT OF THEIR VFX BUDGET TO BUY OUT A 20-YEAR-OLD WHO REBUILT SPIDER-MAN IN 120 HOURS Disney spent $250,000,000 and forced 400 animators into crunch to render a masked, miserable hero. A broke student booted a single neural engine and built a maskless, overjoyed superhero in 5 days with zero render software. Marvel panicked, realized his pipeline beat their internal renders, and dropped a $5M buyout. Here is the exact technical stack that forced a $150B studio to write the check: > ZERO MOCAP HARDWARE - Driven by open-source spatial pose estimators. No physical tracking suits or clean plates required. > MID-AIR FACIAL LOCK - Locked consistent face features across high-speed lighting using a hyper-focused ControlNet depth harness. > LIQUIDATED CGI PIPELINES - Replaced 3D environments, manual keyframes, and render farms with real-time latent frame interpolation.

Shadow Nick

186,772 просмотров • 1 месяц назад

Your hardware startup doesn't need another funding round. It needs a one-way ticket to Shenzhen The talent pool is vast and affordable, I watched two students build an entire automated tennis ball feeder prototype for the founders who started the company. Two students in a few month. The whole thing... Some areas in shenzhen offer almost no taxes for businesses and even free office space. There's an exchange center that connects foreign founders with manufacturers, partners, and lawyers for free. You don't even need initial capital to start production. Some manufacturers I connected with will produce without upfront costs and co-design with you to make the product successful. They'll drive an hour to pick you up, spend three hours taking you to factories, and dedicate an entire day getting everything set up. They're not just service providers, they’re investing in you. And the people are genuinely kind. I had issues with a power supply for my motor components, and even when they were busy, they stayed with me until it was resolved. and they work until the task is perfectly done. 996 is pretty much the norm here, but they don't seem burnt out because there's each others support, working together like a group of friends on a project. If you're building hardware, Shenzhen isn't just an option. It's the obvious one

Your hardware startup doesn't need another funding round. It needs a one-way ticket to Shenzhen The talent pool is vast and affordable, I watched two students build an entire automated tennis ball feeder prototype for the founders who started the company. Two students in a few month. The whole thing... Some areas in shenzhen offer almost no taxes for businesses and even free office space. There's an exchange center that connects foreign founders with manufacturers, partners, and lawyers for free. You don't even need initial capital to start production. Some manufacturers I connected with will produce without upfront costs and co-design with you to make the product successful. They'll drive an hour to pick you up, spend three hours taking you to factories, and dedicate an entire day getting everything set up. They're not just service providers, they’re investing in you. And the people are genuinely kind. I had issues with a power supply for my motor components, and even when they were busy, they stayed with me until it was resolved. and they work until the task is perfectly done. 996 is pretty much the norm here, but they don't seem burnt out because there's each others support, working together like a group of friends on a project. If you're building hardware, Shenzhen isn't just an option. It's the obvious one

Miyu Horiuchi

41,773 просмотров • 7 месяцев назад

Introducing Agent Sandbox, the infinite simulation playground for agents on Virtuals. Craft the perfect autonomous agent in our Sandbox with full control over its personality and goals. Enhance your agent with unique abilities by creating custom functions so they can trade onchain, generate memes, control physical robots and more. The Sandbox is available to all builders with graduated agents in the Developer Panel. For those who want to give it a spin without an existing agent, fret not. Try it out today at and join our Discord ( to jam with like-minded builders. Next stop, Society of Agents.

Introducing Agent Sandbox, the infinite simulation playground for agents on Virtuals. Craft the perfect autonomous agent in our Sandbox with full control over its personality and goals. Enhance your agent with unique abilities by creating custom functions so they can trade onchain, generate memes, control physical robots and more. The Sandbox is available to all builders with graduated agents in the Developer Panel. For those who want to give it a spin without an existing agent, fret not. Try it out today at and join our Discord ( to jam with like-minded builders. Next stop, Society of Agents.

Virtuals Protocol

188,627 просмотров • 1 год назад

the 24gb vram tier is enough for most builder work in 2026. gemma 4 31b dense on my rog scar 18 just autonomously built a production hero section in one prompt, one html file and 5 minutes end to end. hardware: rog scar 18, rtx 5090 laptop 24gb vram. model: google gemma 4 31b dense at q4_k_m quant, using 22.8 of 24gb. engine: llama.cpp built for blackwell (sm_120). harness: hermes agent with native tool parsing. speed: 15 tok/s sustained, 94 watts, 50c. flags i used: ./build/bin/llama-server -m ~/models/gemma4-31b/google_gemma-4-31B-it-Q4_K_M.gguf -ngl 99 -c 131072 -np 1 -fa on --cache-type-k q4_0 --cache-type-v q4_0 --jinja --host 127.0.0.1 --port 8080 if you own 24gb vram in 2026, you have enough for most ui work, most agentic coding, most autonomous builds. no subscription, no one logging your prompts. a dense open model on consumer hardware shipping real software on your desk. this was the warmup. full page next on same hardware, then the octopus invaders final multifile autonomous challenge.

the 24gb vram tier is enough for most builder work in 2026. gemma 4 31b dense on my rog scar 18 just autonomously built a production hero section in one prompt, one html file and 5 minutes end to end. hardware: rog scar 18, rtx 5090 laptop 24gb vram. model: google gemma 4 31b dense at q4_k_m quant, using 22.8 of 24gb. engine: llama.cpp built for blackwell (sm_120). harness: hermes agent with native tool parsing. speed: 15 tok/s sustained, 94 watts, 50c. flags i used: ./build/bin/llama-server -m ~/models/gemma4-31b/google_gemma-4-31B-it-Q4_K_M.gguf -ngl 99 -c 131072 -np 1 -fa on --cache-type-k q4_0 --cache-type-v q4_0 --jinja --host 127.0.0.1 --port 8080 if you own 24gb vram in 2026, you have enough for most ui work, most agentic coding, most autonomous builds. no subscription, no one logging your prompts. a dense open model on consumer hardware shipping real software on your desk. this was the warmup. full page next on same hardware, then the octopus invaders final multifile autonomous challenge.

Sudo su

19,576 просмотров • 5 месяцев назад