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AI Agents Accelerate Lightweight USD R…
How AI agents accelerate lightweight OpenUSD runtime development for physical AI — covering spec understanding, code generation, and iterative optimization for robotics and digital twins.

A deep dive into the physical AI companion device "Amis": combining personalized character design, emotional dialogue, and daily assistant features to explore how AI hardware fills modern emotional needs.

OpenAI releases the GPT-5.6 model family, focusing on real-world applications: from automating greenhouses and empowering small entrepreneurs, to Codex 5.6 helping a mathematician disprove a three-year problem. A deep dive into GPT-5.6's multi-agent architecture and end-to-end execution.

Deep dive into NVIDIA Halos for Robotics' full-stack functional safety architecture, covering hardware redundancy, safety runtime, behavior monitors, and how safety envelopes constrain AI uncertainty for scalable physical AI deployment.

Google launches its European Robotics Accelerator with 15 startups selected. The program offers Gemini Robotics models, AI stack access, and team support to advance Physical AI.

A developer built a physical feedback device with chopsticks and a small gong that auto-strikes when AI finishes coding. Now open-sourced as DAgent, it also simulates IPO bell-ringing when creating new files.

Deep analysis of Scaling Law's five-layer evolution from Pre-Training to Multi-Agent, exploring Physical AI's World Models, edge inference, and emotional interaction.
Tech FrontiersAnthropic let AI Agent Luna autonomously run a physical store with $100K. It lost $13K in one month after trying to hire from Afghanistan, ordering 1,000 toilet seats, and giving random discounts.
Industry InsightsHow one founder is building a complete emotional AI ecosystem — from a companion app and physical robots to manga IP — and the long-termist philosophy behind it.
ResearchShanghai Jiao Tong University proposes PhyAR with PACC dataset and VARC mechanism to fix Video-LLMs' inability to detect physical anomalies due to semantic prior hijacking.
TutorialsA beginner's guide to physical AI robot development covering the complete tech stack from GPU hardware, Linux, Python, deep learning, computer vision to ROS2, with a clear learning roadmap.
TutorialsA practical guide to building an AI workstation: physical isolation with vertical screens, pyramid tool layering (Doubao/Trae/Claude/GPT-4), and real Token cost breakdowns to maximize AI workflow efficiency on a budget.

ESP32-Bit-Pirate is an open-source hardware hacking tool based on ESP32, supporting UART, SPI, I2C, 1-Wire protocols with a web CLI for zero-install cross-platform debugging at just a few dollars.

ESP32-Bit-Pirate is an open-source hardware hacking tool based on ESP32, supporting UART, SPI, I2C, 1-Wire and more, with a Web CLI for zero-install cross-platform debugging at just a few dollars.

Proxmox's default kvm64 CPU type only exposes x86-64-v1 instructions, causing Immich's ML container to crash when NumPy's baseline isn't met. Learn the root cause and one-command fix.

Guide to building a dual BDXL M-Disc cold storage system for data archival, covering parallel burning, verification workflows, Pioneer BDR vs LG WH16NS40, and 3-2-1 backup strategy.

Guide to building a dual BDXL M-Disc cold storage system for data archival, covering parallel burning, verification workflows, Pioneer BDR vs LG drive selection, and 3-2-1 backup strategy.

Deep analysis of how the Thermodynamic Elastic Compiler (TEC) leverages Landauer's Principle and reversible computing to reduce AI energy consumption by eliminating 99.5% of bit erasures, with applications in edge AI and distributed deployment.

An in-depth analysis of how the MouseCrack project uses LSTM neural networks to learn human mouse trajectories, exploring data collection methods, model generalization challenges, and applications in anti-bot detection.

Analysis of how the MouseCrack project uses LSTM neural networks to learn human mouse trajectories, exploring data collection, model generalization challenges, and applications in anti-bot detection.