AI is already here – it’s just very unevenly distributed among computer systems.
COMPUTING
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AI-Powered Algorithm Analysis Tool Built on X API
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Been here 19 years and your advice is right on. I've been studying the algorithm at quite a deep level. I even built an AI that lets you see the entire AI community in a new way: https://
alginednews.com/ai (AI using the X API builds that entire page from X). The algorithm is -
Using AI to Harden and Secure Your Systems Now
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Well you better use AI to harden your systems now then.
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Ultrasound Wristband Controls Humanoid Robots Breakthrough
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This wristband uses ultrasound to control robots #trendingshorts https://
youtu.be/DB3dOGOoumw?si
=EZitsBOsqwygN28Y
… via @YouTube #humanoidtech #humanoid #robot #Robotics #AI #TechRevolution #TechInnovation #ArtificialInteligence #PhysicalAI #robothand @SpirosMargaris @PawlowskiMario @mvollmer1 -
Half of USA AI Data Centers Delayed or Cancelled
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Half of USA AI Data Centers Delayed or Cancelled – AI Bubble Powered by China https://
youtu.be/VcyeiXtPF34?si
=XkQ6_dW4mTXjZVN_
… via @YouTube #AI #artificialintelligence #DataCenters #Data_Centers #AIpowerconsumption #AIbubble @AlbertoEMachado @Eli_Krumova @postoff25 @Khulood_Almani @anand_narang -
AI Supply Constraints Drive Market Dynamics More Than Demand
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The problem is supply, not demand.
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Starving for Intelligence: Massive Compute Constraints Challenge
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We are starving for Intelligence and we are still massively compute constrained.
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Anthropic Secures Multi-Gigawatt TPU Deal
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Anthropic signed an agreement with Google and Broadcom for multiple gigawatts of next-generation TPU capacity. With all what’s coming from Anthropic it feels very much needed. Also, managed 24/7 agents will consume a lot.
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Google’s Strategic Advantage: TPU Dominance and AI Compute Leadership
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Google had the foresight to develop TPUs back in 2012. Today, they have by far the most compute. In the long term, Google is in one of the best starting positions: a solid revenue and product base, compute, and above all: distribution. Epoch AI (@EpochAIResearch) We estimate that over 60% of global AI compute is owned by the top US hyperscalers, led by Google with the equivalent of roughly 5 million Nvidia H100 GPUs! Unlike the other hyperscalers, which rely primarily on Nvidia, Google’s fleet is dominated by its custom TPU chips. — https://nitter.net/EpochAIResearch/status/2041241217334419851#m
→ View original post on X — @kimmonismus, 2026-04-06 21:13 UTC
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MoE Token Generation 1.84x Faster on Blackwell GPUs
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We rebuilt how MoE models generate tokens on Blackwell GPUs, resulting in 1.84x faster inference and more accurate outputs. These improvements directly contribute to how we train Composer, allowing us to ship improved versions of the model more often.