Move to Linux and try LMStudio and then Exl2/Exl3
TECHNOLOGY
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Human-Scale Bipedal Humanoid Robot for Real-World Tasks
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Human-Scale Bipedal Humanoid #Robot Designed for Real-World Tasks
— Ronald van Loon (@Ronald_vanLoon) 25 mars 2026
via @ZappyZappy7
#Robotics #RPA #ArtificialIntelligence #Innovation #Technology pic.twitter.com/j5P47UBkpQHuman-Scale Bipedal Humanoid #Robot Designed for Real-World Tasks
via @ZappyZappy7 #Robotics #RPA #ArtificialIntelligence #Innovation #Technology -
24B Model Running in Browser with WebGPU Technology
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24B model running in your browser! https://t.co/dorx4Ux2x7
— Maxime Labonne (@maximelabonne) 25 mars 202624B model running in your browser! Xenova (@xenovacom) WebGPU is INSANE! 🤯 Here's a 24B parameter model running locally in a web browser, at a blazing ~50 tokens/second on my M4 Max. ⚡️ It's the largest model we've ever run with Transformers.js… and we're not stopping here. Big announcement soon. — https://nitter.net/xenovacom/status/2036908326462665211#m
→ View original post on X — @maximelabonne, 2026-03-25 21:10 UTC
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Abstractions hinder performance, bare metal is optimal
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Abstractions are not great for performance Bare metal is the way to go imho
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OpenAI Debuts Major ChatGPT Ads Updates, Including Self-Serve Manager and CPC Bidding
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Most interesting image from this article Everyone changed from classic incadescent lamps to modern LEDs But they don't provide any infrared light Even the warm LEDs you buy barely do We really need incadescent lights back but the EU made those illegal, or we need to buy those
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Warning: Do Not Use Windows for Local LLM Deployments
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I was assuming it’s common knowledge at this point not to use Windows for local LLMs But just in case: DO NOT USE Windows for local LLMs
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Hardware Alone Isn’t Enough: Software Stack is Crucial for Adoption
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It’s wild to me that folks still don’t understand this A piece of hardware doesn’t matter if the software stack isn’t there Good luck waiting 5 years for that Intel GPU to be widely supported Even the Blackwell kernels aren’t mature yet and it’s already widely adopted lol
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NOBLE: Nonlinear Low-Rank Branches Accelerate Transformers
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"NOBLE: Accelerating Transformers with Nonlinear Low-Rank Branches" This paper shows that if you add a tiny permanent nonlinear low rank branch (with a cosine bottleneck) to each Transformer linear layer, you can teach the model hard-to-fit details much more efficiently. This
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Lyria 3 Pro AI Technology Announced on Google Blog
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more info in the blog: blog.google/innovation-and-a…
→ View original post on X — @demishassabis, 2026-03-25 20:23 UTC
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Spec Sheet Irrelevance Due to Missing Software
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go buy both and you’ll see how all you’re repeating from the spec sheet doesn’t matter because the software doesn’t exist for it lol