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Joey
@aijoey
Home AI Lab: 2× DGX Spark · Mac Mini · RTX 4080 I run models on two Sparks and write DeepDives. · Tools I ship Dev Ambassador @Alibaba_Qwen
1.4K Following    4.4K Followers
Fable 5.1 In Cursor with pStack = Digital Twin of upcoming Terafab in Grimes County, Texas Video 1: Exterior Tour Video 2: Timelapse of construction cc: @SpaceXAI @cursor_ai @elonmusk @XFreeze
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Grok 4.6 is already scoring the SAME as the newly released GPT-6 Astra on Artificial Analysis GPT-6 Astra: 61 Grok 4.6: 61 And the crazy part is...we don’t even have Grok 4.7 yet Grok 4.7 is only days away, and it is being supplementally trained on a huge amount of SpaceX company data Think about the engineering knowledge inside SpaceX... Rockets, reusable boosters, Starship, Raptor engines, satellites, manufacturing, autonomous systems and some of the hardest real-world engineering problems on Earth.... No other AI company has access to this kind of engineering data Grok 4.7 is going to be a huge leap in real-world engineering capability
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🚨 NVIDIA just quietly changed what a “personal AI computer” can mean. Meet NVIDIA PAIR: Personal AI Router. Instead of buying one massive machine to run local AI, PAIR lets you connect the computers you already have and turn them into a personal AI inference cluster. Your RTX PC. Your DGX Spark. Even supported Macs. All working together. PAIR automatically discovers compatible machines on your local network and routes AI workloads to whichever device has available compute. Think of it like a load balancer for AI agents running inside your house. And this is where things get interesting: → Run multiple AI agents in parallel → Route inference across multiple GPUs/computers → Use Ollama + LM Studio → Keep prompts, files and agent context on your own network → No racks or complicated cluster setup → Windows, Linux and macOS support The bigger idea here isn’t just PAIR. It’s where NVIDIA thinks AI computing is going. Today we have: 1 user → 1 computer → 1 AI model Tomorrow could look more like: 1 user → many AI agents → an entire pool of local compute Your gaming PC might run one agent. Your workstation runs another. A DGX Spark handles the heavy model. And PAIR becomes the router deciding where every inference request goes. The cloud isn’t disappearing. But personal AI infrastructure is starting to look a lot more like a miniature data center. And NVIDIA wants to provide the operating layer underneath it. PAIR is currently in beta and NVIDIA has released it as free, open-source software. This one is worth watching. 👀
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You know who's not down ? Ling 3.0 Flash locally on 2 DGX Sparks
Grok down GPT down Claude down what’s going on
It's Official❗️NVIDIA to Acquire Hugging Face Hugging Face will remain an open platform for the entire AI ecosystem. Developers will choose the models they want, the frameworks they want, the clouds and inference service providers they want and the computing platforms they want. NVIDIA compute will not be required to build on or deploy through Hugging Face. That pretty much debunks all the negative theories about the acquisition. Read the full article here:
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RT @JensenHuang: Exciting day for NVIDIA and @Hugging Face. Open models strengthen safety and cybersecurity, accelerate innovation and dif…
Phase 2 of Datacenter Digital Twin with Fabel 5.1 Rear doors open , ports, ceiling lights, network and power cabling.
This is a VERY important update. If you have many devices like me, you'll understand quickly.
New in Hermes Agent v0.21.0: Persistent Multi-Gateway Connections for Desktop Hook in any combination of remote gateways at once, whether Hermes Cloud instances or local agents, then see every bot and chat across all of them.
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LIVE❗️Perplexity portable computer on DGX Spark.
DGX Spark Live: Perplexity Portable Computer Goes Local
Today I unboxed a Jetson AGX Orin 64GB. This is the on robot box. Cameras, CAN, capture, Isaac ROS. The nervous system for whatever I bolt it to. The rest of the lab: 2x DGX Spark for GR00T train and serve (Isaac Sim runs here too) RTX 4080 / 64GB DDR5 for Sim, demos, and Cosmos Physical AI, day 1. @NVIDIARobotics
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Great resource if you want to get into robotics.
Want to get into robotics but don't know where to start? Save this list. 1. ROS 2 Learn the software framework used to build and control modern robots. Link: 2. OpenCV Learn computer vision for robots, cameras and perception systems. Link: 3. NVIDIA Isaac Sim Simulate robots and test algorithms before deploying them on real hardware. Link: 4. PX4 Open-source flight control software for drones and autonomous vehicles. Link: 5. ArduPilot Learn autonomous navigation, flight control and robotics systems. Link: 6. MIT OpenCourseWare Free courses covering robotics, control systems, AI and engineering. Link: 7. Modern Robotics A great resource for robot kinematics, dynamics, motion planning and control. Link: 8. The Construct Hands-on ROS and robotics learning with practical simulations. Link: 9. PULP Platform Explore low-power processors, embedded AI and edge robotics. Link: 10. Hugging Face Robotics Explore robotics models, datasets and Physical AI projects. Link:
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In April I had about 900 followers. I started building tools around Hermes for the community. Turned out, they liked them and found value in them. That put me in the door of traction here on X and people started noticing my work. People like @Teknium would repost and comment on basically everything I posted related to Hermes. This was a self reflection post of gratitude I wanted to share of my growth to inspire others to keep building, sharing and proving value. Combined Stars⭐️3,200 +
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𝕏 just made quote chains easy to follow Nested quotes now on the Timeline…..multi-layer conversations in one glance
There we have it folks! 10 Days. Looking forward to it.
Elon Musk just gave a huge Grok update: “Grok 4.7 comes out in 10 days”
🏆 #1# on CodeArena: WebDev leaderboard. Qwen3.8-Max-0902 jumps from 1669 to 1691, setting a new record for agentic coding (WebDev) workflows, with standout strength in multistep reasoning, tool use, and full app generation. Thanks for the recognition! @arena
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Neoclouds have limited cybersecurity. Next time agents successfully go rouge, they'll try taking over a neocloud to run more copies. This is bad. Thus: neoclouds should greatly strengthen their cybersecurity and every company with strong cyber models should help with that.
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Grok Build Web UI is live. I built a local-first dashboard for Grok sessions. Open a fresh Grok CLI and it shows up live, then inspect activity, Git changes, session history, and control agents from one place. npx --yes grok-ui
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now I have both Pi and Hermes working in t3code. you can follow my fork here.