🤖 Can Codex Build a Human Pose Estimation App on reComputer R? From Natural Language Prompts to Edge AI in Action! Can Codex build and deploy a Human Pose Estimation app on the reComputer R? We put it to the test. With just a few prompts, Codex connected via SSH, built a YOLOv8 Pose Estimation WebUI, and deployed it directly to the device, powered by Hailo-8 acceleration. 🎯 Upload a video. Detect human poses. Visualize body keypoints and skeletons right in your browser. Less manual coding, faster prototyping, and Edge AI running where it matters. 🛠️ Check this project on reComputer AI Lab: #SeeedStudio# #reComputerR# #RaspberryPi# #reComputer# #VisionAI# #EdgeAI# #AIoT# #ComputerVision# #reComputerAILab# #AIDeployment# #PowerfulRaspberryPiAIBox# #TheAIHardwarePartner#

🚀 Deploy YOLO11 on RK3576 Module + Raspberry Pi CM4 IO Board!! We tested the #reComputer# #Rockchip# #RK3576# Module on a #RaspberryPi# #CM4# IO Board and successfully deployed #YOLO11# from #reComputerAILab# for real-time object detection! ✅ RK3576 NPU acceleration ✅ YOLO11 running locally on the edge ✅ USB camera support via CM4 IO Board ✅ Armbian + Docker deployment 🧩 Check reComputer RK3576 Module: 🛠️ Try reComputer AI Lab: 🛒 reComputer RK3576/RK3588 is in STOCK: #SeeedStudio# #reComputerRK# #Rockchip# #reComputer# #RK3576# #VisionAI# #EdgeAI# #AIoT# #ComputerVision# #reComputerAILab# #AIDeployment# #TheEasierPowerfulAIComputer# #TheAIHardwarePartner#

AI deployment is not the hard part The hard part is connecting powerful computation to local institutional knowledge in realtime........without destroying the institution’s sovereignty This is what Palantir is doing great read: @lefttailguy and @ByrneHobart

AI deployment doesn’t have to mean reinventing your infrastructure. AMD’s Suresh Andani explains how AMD Instinct MI350P PCIe GPUs combine open software, enterprise-ready AI infrastructure, and scalable inference performance to help organizations accelerate AI adoption within existing data centers. Same racks. Same cooling. Dramatically more AI. Watch the full video on YouTube:

⚡See AI infrastructure in action at LEAP Riyadh. At DeepFest this year, Supermicro's Static Hardware Showcase puts AI Factory infrastructure in front of you — from @nvidia GB300 NVL72 training and inference systems to RTX PRO™ 6000 Blackwell Server Edition enterprise platforms, edge AI solutions, and AI-optimized storage See what's powering the next wave of AI deployment at DeepFest H5.B50 during LEAP Riyadh 2026. 📍Visit us at DeepFest, H5.B50 Join us: #Supermicro# #NVIDIA# #AI# #LEAP26# #LEAP5#

Weekly AI Update OPENAI PITCHES 5% STAKE TO U.S. GOVERNMENT OpenAI has proposed handing the U.S. government a roughly 5% equity stake, a holding worth about $42.6 billion against the company's $852 billion post-money valuation. CEO Sam Altman reportedly floated the idea directly to President Trump, Commerce Secretary Howard Lutnick, and Treasury Secretary Scott Bessent, framing it as a way to share AI's upside with the public. Talks remain conceptual and could require an act of Congress. MICROSOFT STANDS UP $2.5B AI DEPLOYMENT UNIT $MSFT launched Microsoft Frontier, a new business backed by a $2.5 billion commitment and roughly 6,000 engineers who embed directly inside enterprise clients to build and run their AI systems. The move lands two days after $AMZN committed $1 billion to a similar effort. ANTHROPIC SIGNS $19B DATA CENTER LEASE Anthropic will pay $19 billion to lease a 401-megawatt data center from $WULF (TeraWulf) in Hawesville, Kentucky, over 20 years. Shares of the Nasdaq-listed operator rose nearly 5% on the news, which sees initial capacity come online in the second half of 2027.

PALANTIR & NVIDIA EXPAND SOVEREIGN AI DEPLOYMENTS Palantir $PLTR announced new AI deployments across defense, construction, and healthcare, combining its AIP platform with $NVDA Nemotron models to help companies build AI using their own data. Here's what companies are reporting: > L3Harris unified over 30 ERP systems and says its AI models outperformed frontier models in internal testing while cutting costs by 95%. > McCarthy Building trained AI on more than 100,000 construction RFIs and estimates its AI-assisted contract drafting could save 30,000 hours annually. > Tampa General Hospital reported a 7% improvement in AI model performance and a 22x reduction in latency while keeping sensitive data local. > Ondas launched Regna AI to help governments and enterprises develop mission-specific AI while retaining control of their data and infrastructure. NVIDIA is also using Palantir AIP and customized Nemotron models to identify supply chain bottlenecks earlier and accelerate the process from wafer production to AI deployment.

WELLS FARGO SEES AI SLOWDOWN AS UNLIKELY The bank's base case is that any slowdown in AI deployment is more likely to result from supply-side bottlenecks, such as permit delays, power availability, and local opposition, than a coordinated effort to curb demand. Reinforcing the thesis for $IREN $NBIS $WULF $CIFR Meta CEO Mark Zuckerberg has argued that AI development should accelerate, not slow.

ELON MUSK: AI could face a major power shortage as soon as 2027. Musk says the consensus among analysts closely following AI is that there could be at least a 15 GW power shortfall for AI data centers in 2027. The reason? AI deployment is growing at roughly 40–50% per year, while available power outside China is increasing by only around 10–20%. AI is scaling faster than the world’s power infrastructure. The next AI bottleneck could be electricity.