People keep saying “VRAM is all that matters” for local LLMs > It’s not just wrong, it’s misleading When running LLMs locally, the bottleneck is NOT just “VRAM size” It’s: – memory bandwidth – interconnect (PCIe vs NVLink vs RDMA) – inference engine (vLLM,
TECHNOLOGY
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XSTO A6: Wheeled Bipedal Robot for Complex Terrain
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XSTO A6: A Wheeled Bipedal #Robot Built to Conquer Complex Terrain
— Ronald van Loon (@Ronald_vanLoon) 29 mars 2026
via @WevolverApp#Robotics #Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/IZKiOFeQyqXSTO A6: A Wheeled Bipedal #Robot Built to Conquer Complex Terrain
via @WevolverApp #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology -
Closer Look at Replit x Alif Hackathon
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A closer look at Replit x Alif Hackathon. pic.twitter.com/sj2iain1RN
— Replit ⠕ (@Replit) 29 mars 2026A closer look at Replit x Alif Hackathon.
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AI Educational Outreach: Lectures, Essays, Blogs, and Social Media
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KVCache quantization is a no-no as well I’d rather quantize the model to 2-bit rather than quantize the KVCache to 4-bit or even 8-bit
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ULMFiT LSTM Evolution Language Model Fine-tuning History
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Right, and indeed ULMFiT was an LSTM. But also, that earlier work wasn't using language modeling on a general purpose corpus as a self-supervised task then fine-tuning that in two more steps for downstream tasks like today's LLMs. (It wouldn't have been feasible on that h/ware)
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MLB Adopts Sony Computer Vision AI for Ball-Strike Calls
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69% of baseball fans say they'd rather have a computer vision AI system call balls and strikes than a human umpire.
— The Rundown AI (@TheRundownAI) 29 mars 2026
This season, the MLB gave them one.
For the first time in league history, a human ump's ball-strike call is not final. A Sony computer vision system called… pic.twitter.com/MsbZYcy1ih69% of baseball fans say they'd rather have a computer vision AI system call balls and strikes than a human umpire. This season, the MLB gave them one. For the first time in league history, a human ump's ball-strike call is not final. A Sony computer vision system called
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Research-driven AI company focused on practical applications
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Fully opensource stack, and I trust their mission than I trust Intel (which NVIDIA is in an investor in btw) Do people not realize that we need healthy competition for local inference? I am hoping to actively help mature that stack myself btw
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Phone scanning enables static data memory capture storage
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Agree – closest thing to memory capture we got. People should scan static stuff with their phones to start and save all that data
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Expensive Camera Rigs Barrier to Content Creation
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I really wish capturing this stuff was cheaper – you need some big ass expensive ass camera rigs
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Immersive Haptic System Enables Remote Robot Control
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Immersive Haptic System Brings Remote #Robots to Life
— Ronald van Loon (@Ronald_vanLoon) 29 mars 2026
via @ZappyZappy7
#Innovation #TechForGood #EmergingTech #Technology #Tech pic.twitter.com/jklmbQxzBbImmersive Haptic System Brings Remote #Robots to Life
via @ZappyZappy7 #Innovation #TechForGood #EmergingTech #Technology #Tech
