iPhone ~= MacBook, thanks to server side agents
HARDWARE
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Figure AI: Humanoid robots powered by end-to-end AI
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What is Figure & How It Works?
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 27 mai 2026
Founded in 2022, Figure AI builds general-purpose humanoid robots powered by end-to-end AI (Helix vision-language-action models). Their Figure 03 stands 5'8", carries 20kg payloads, and learns tasks by watching humans.
The robots use neural… pic.twitter.com/8o7kw0hIUZWhat is Figure & How It Works? Founded in 2022, Figure AI builds general-purpose humanoid robots powered by end-to-end AI (Helix vision-language-action models). Their Figure 03 stands 5'8", carries 20kg payloads, and learns tasks by watching humans. The robots use neural
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NVIDIA Vera CPU for Agentic AI: Performance Benchmarks
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We built the NVIDIA Vera CPU for agentic AI, and the latest benchmarks from @Phoronix confirm it delivers. 1.5x overall performance vs. leading x86 processors
2x faster Linux kernel compilation
4x greater STREAM TRIAD memory bandwidth Vera achieves the performance that AI -
Is It Time to Worry About Compute Scarcity?
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Is it time to worry about compute scarcity?
by @antgrasso #ArtificialIntelligence #IT #Tech #Technology -
Huawei’s Tau Scaling Law Key to Post-Moore AI Efficiency
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The future of AI will not only be shaped by better models. It will be shaped by faster, more efficient systems underneath them. That is why Huawei’s Tau Scaling Law (Her’s Law) matters for the post-Moore era. #HuaweiPartner @Huawei #AI #Semiconductors #ChipDesign #MooresLaw
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AI inference efficiency depends on data movement through memory, chips, and interconnects.
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This matters directly for AI inference. Every AI response depends on data moving through: memory,
chips,
interconnects,
and full systems. If that movement is slow, inference becomes slower, more energy-intensive, and more expensive to scale. -
Next AI Bottleneck May Be Data Movement, Not Compute
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The next AI bottleneck may not only be compute power. It may be data movement. Huawei’s Tau Scaling Law (aka Her’s Law) brings this question into focus: How much time can we remove from the system? #HuaweiPartner @Huawei
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Alibaba unveils new AI chip as Nvidia access stalls
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Alibaba unveils new #AI chip as Nvidia access remains stalled
by Luna LIN @TechXplore_com Learn more: https://
bit.ly/4nHBnaN #ArtificialIntelligence #MachineLearning #ML -
Buy GPU, run real workloads daily: top move in 2026
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The single highest-leverage move an individual can still make in 2026 is this: Buy a GPU and run real workloads on them every day. – Not rent tokens.
– Not fine-tune on someone else’s cluster.
– Own the silicon + the weights + the serving stack. I’ve been doing this since 2023