“you see, the killer advantage of mechahorses is that you don’t need to buy a new carriage. You don’t need to build a new mill. The mechahorse is a drop-in horse replacement for all the different devices horses are currently powering — thousands of them”
HARDWARE
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Exoskeletons enhance human capabilities beyond natural limits
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La tecnología nos convertirá en súper humanos. Con este exoesqueleto corremos más, llegamos más lejos y nuestros límites se amplían. Tus rodillas lo agradecerán… pic.twitter.com/xPfHp4nXIG
— Juan Merodio (@juanmerodio) 28 septembre 2025La tecnología nos convertirá en súper humanos. Con este exoesqueleto corremos más, llegamos más lejos y nuestros límites se amplían. Tus rodillas lo agradecerán…
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Meta New Hardware: Quality vs Weight Trade-off at 2000 Yuan
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线下试了，质感稍差
如果用料扎实的话，就会超重
2000 块左右算是一个取舍了
可以关注 Meta 新款这个 -
PowerScale Deep Learning for Autonomous Driving with Reinforcement Learning
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PowerScale Deep Learning Infrastructure with NVIDIA Systems for Autonomous Driving with #ReinforcementLearning! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless
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Impressive Live Demonstration of Shirt Folding Robot
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Just watched this fold shirts IRL for 15 mins. *very* impressive.
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Reachy 2 robots deployed to research institutions worldwide
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https://t.co/2ieEakgPF9 https://t.co/HAdQ3vVs1J
— clem 🤗 (@ClementDelangue) 27 septembre 2025While we're working hard on shipping the first Reachy Minis (planned before the end of Sept), we shipped with @pollenrobotics @LeRobotHF a bunch of Reachy 2 to Research labs all over the world this summer. This is the unboxing from the Fraunhofer Institute for Industrial
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Single SSD Better Than Two Wasting PCIe Lanes
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Not 2 SSDs, only 1, you're wasting pcie lanes That's for starters
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Nvidia invests $100B in OpenAI GPU datacenters deployment
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1. Nvidia’s $100B bet on OpenAI Nvidia will invest up to $100B into OpenAI to deploy 10 GW of GPU datacenters, representing millions of GPUs for next-gen AI infrastructure.
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Comparing GPU Cloud Providers: Vast AI, Prodrun, Prime Intellect
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there are different options vast ai is the cheapest, but the quality is a hit or a miss (mostly miss) Prodrun comes after that Prime Intellect H100/B200 instances are really good
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C-Payne PCIe Redrivers Retimers Zero Errors Performance
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C-Payne redrivers and retimers are THE ONLY WAY to go I stress test my systems really well, and for each PCIe slot, I had to configure the redriver settings separately ZERO ERRORS