A closer look at Replit x Alif Hackathon. pic.twitter.com/sj2iain1RN
— Replit ⠕ (@Replit) 29 mars 2026
A 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 2026
A closer look at Replit x Alif Hackathon.

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I have already said my part on the newcomer community members Not that I think of myself as the OG, but I believe I have the track record to override anybody else in this space All that I want is to bring opinions closer, let's stop unnecessary toxicity
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Jetson Thor–Powered Humanoid #Robot Achieves Fully #Autonomous Wheeled Mobility
— Ronald van Loon (@Ronald_vanLoon) 29 mars 2026
via @ZappyZappy7#Robotics #ArtificialIntelligence #MI #ML #Tech #Innovation pic.twitter.com/DQDf7xWFor
Jetson Thor-Powered Humanoid Robot Achieves Fully Autonomous Wheeled Mobility via @ZappyZappy7 #Robotics #ArtificialIntelligence #MI #ML #Tech #Innovation
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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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#Sponsored by @IOTechSystems You do not need a server room to run edge computing. Edge Central handles hard real-time data acquisition on resource-constrained devices. Small hardware, full capability. Most people assume edge computing requires expensive infrastructure. It does
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Designing for Speed: How HexRunner Achieved Stable 30 MPH Locomotion
— Ronald van Loon (@Ronald_vanLoon) 29 mars 2026
by @lukas_m_ziegler#EmergingTech #Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/W2jAL0BpmW
Designing for Speed: How HexRunner Achieved Stable 30 MPH Locomotion
by @lukas_m_ziegler #EmergingTech #Engineering #ArtificialIntelligence #Innovation #Technology
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Which is why ‘tokens per watt’ becomes the ultimate measure of productivity, rather than human labour hours. How many units of Intelligence can a watt of electricity produce?
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The claim mixes up memory types: KV cache optimization (like TurboQuant) reduces GPU VRAM usage during inference, not system memory like DDR5 RAM. DDR5 prices are driven by broader semiconductor supply-demand cycles, so there’s no direct link between KV cache compression and
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That claim is incorrect because Google’s TurboQuant reduces GPU VRAM usage for AI inference, not system memory like DDR5 RAM. DDR5 prices are driven by semiconductor supply-demand cycles, not by a single AI optimization.