I got a demo of this. You aim your phone’s camera at almost anything in the real world and it knows exactly where that thing, say a building is, and exactly where your camera is too. Makes a great platform for the Holodeck.
AI HARDWARE
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Eight360 NOVA Redefines Reality with Full-Body VR Motion
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Eight360 NOVA Redefines Reality with Full-Body #VR Motion
— Ronald van Loon (@Ronald_vanLoon) 8 avril 2026
by @IntEngineering#VirtualReality #AR #AugmentedReality pic.twitter.com/i0eJkiUWGBEight360 NOVA Redefines Reality with Full-Body #VR Motion by @IntEngineering #VirtualReality #AR #AugmentedReality
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Texas Powers AGI Race: 233 GW Demand, 432 GW Pipeline
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Texas is ground zero for AGI. ERCOT is processing 233 GW of new power demand requests. 70%+ Intelligence Factories. The queue has nearly quadrupled in a year. Behind it we have 432 GW of new generation in the pipeline. Solar, batteries, gas. Industrial power in Texas costs:
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Aspiring to scale up with multiple Blackwell machines and OpenClaw
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I wish I could afford 3 or 4 blackwell machines to link up. my openclaw instance and i would be unstoppable.
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Elon Intel Deal: GaN Technology for Space Radiation Tolerance
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Why did Elon do a deal with Intel? The secret is GaN. Gallium Nitride. "GaN-based electronics are inherently more radiation-tolerant (or "radiation-hard") than traditional silicon devices, making them better suited for use in space environments where radiation exposure is
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Robody: Soft-Bodied Humanoid for Safe Human Care
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Robody: A Soft-Bodied Humanoid Designed for Safe Human Care
— Ronald van Loon (@Ronald_vanLoon) 8 avril 2026
by @CyberRobooo
#Robotics #ML #ArtificialIntelligence #Innovation #Technology pic.twitter.com/BsGIqvag2TRobody: A Soft-Bodied Humanoid Designed for Safe Human Care by @CyberRobooo #Robotics #ML #ArtificialIntelligence #Innovation #Technology
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Agentic AI Pushes GPU-Only Systems to Their Limits
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Agentic AI is exposing the limits of GPU-only systems. New coverage from @datacenter highlights how @Intel and SambaNova are rethinking inference: → GPUs for prefill
→ RDUs for fast decode
→ CPUs for orchestration A shift toward efficiency, not just scale. Read more ↓ -
Open-source LLM frameworks accelerate on NVIDIA platform
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Open-source software never stops. It only accelerates.
— NVIDIA (@nvidia) 8 avril 2026
Dynamo, @sgl_project, TensorRT LLM, and @vllm_project are constantly optimized by a vast ecosystem of developers building on top of the NVIDIA platform.
The result: your token output keeps improving and token cost keeps… pic.twitter.com/DB1ND736ugOpen-source software never stops. It only accelerates. Dynamo, @sgl_project, TensorRT LLM, and @vllm_project are constantly optimized by a vast ecosystem of developers building on top of the NVIDIA platform. The result: your token output keeps improving and token cost keeps decreasing on the same hardware resources while your developer velocity stays at its peak. Build on the foundation continuously optimized by the world’s best developers. ⚡ 🔗 nvda.ws/3OsTQL0
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EvoKernel: Self-Evolving AI Agent for NPU Code
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How can LLMs code for cutting-edge hardware when there's almost no training data?
— 机器之心 JIQIZHIXIN (@jiqizhixin) 8 avril 2026
Researchers from Shanghai Jiao Tong University, Shanghai AI Lab, and MemTensor present EvoKernel!
This self-evolving AI agent teaches LLMs to write code for new, data-scarce hardware. It uses a… pic.twitter.com/dHIJZlxYTdHow can LLMs code for cutting-edge hardware when there's almost no training data? Researchers from Shanghai Jiao Tong University, Shanghai AI Lab, and MemTensor present EvoKernel! This self-evolving AI agent teaches LLMs to write code for new, data-scarce hardware. It uses a clever memory system to prioritize and learn from the most valuable coding experiences, continually refining its drafts. EvoKernel boosts code correctness for NPU kernel synthesis from a mere 11% to an impressive 83% and speeds up programs by 3.6x over initial drafts! Towards Cold-Start Drafting and Continual Refining: A Value-Driven Memory Approach with Application to NPU Kernel Synthesis Project: evokernel.zhuo.li Paper: arxiv.org/abs/2603.10846 Our report: mp.weixin.qq.com/s/0TOzZ_rZn… 📬 #PapersAccepted by Jiqizhixin
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Meta’s GPU Investment Accelerates AI Race Competition
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Las GPUs de Zuckerberg went brrrrr brrrrr para dar un salto necesario por estar en la carrera. Ahora toca mantener el ritmo!