
Synopsys Demonstrates PCIe 6.0 in 3D Stacking
Synopsys has published silicon results for what it describes as the first 3D PCIe 6.0 test chip. The 5nm PHY uses a face-to-face stacked package and achieves a 64 GT/s data rate.
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Synopsys has published silicon results for what it describes as the first 3D PCIe 6.0 test chip. The 5nm PHY uses a face-to-face stacked package and achieves a 64 GT/s data rate.

Humanoid robot traffic officers in China can direct vehicles, reprimand jaywalkers, and guide tourists to nearby metro stations. In Hangzhou, at least 15 robots have been deployed, but they are deliberately unable to physically stop people or vehicles.
The article reports that Anthropic and Amazon have reportedly purchased large volumes of physical books, scanned them, and destroyed the originals to reduce copyright risk in AI training. It argues that this strategy is tied to differences in US and Chinese copyright law, while also raising concerns about the irreversible loss of cultural artifacts.

51World has unveiled a suite of data-collection devices and platforms designed to generate training data for embodied AI systems. The Beijing-based company argues that higher-quality physical-world data is essential for improving intelligent humanoid robots.

A new embodied AI data foundation is now available for an introductory price of 5,100 yuan. The product aims to provide full-stack physical AI infrastructure for robot training.

AI for Science is moving from computational assistance to physical experimentation as robots enter national-level laboratories. 源络科技 is presented as a company helping bring AI for Science into a more automated laboratory 3.0 stage.

Wired reported that Meta’s Facebook and Instagram displayed ads for an AI pornography-generation tool. One ad featured a deepfake pornographic video resembling a prominent American female politician, and Meta removed the ads after being questioned.

Wired observed a robotic arm at Generalist AI learning and improvising during a live demonstration. The robot reportedly used a banana as a tool, highlighting progress toward more adaptable embodied AI systems.
A TraceML benchmark using Qwen3-1.7B with LoRA found that equivalent effective batch sizes can have substantially different training times depending on physical batch size and accumulation steps. Across 100 optimizer updates, 4×1 was 17% faster than 1×4 on a T4 and 41% faster on an L4.

The White House has updated Appendix A of the US Critical and Emerging Technologies list for the first time since February 2024. The revision removes data centers, batteries, and augmented reality while adding post-quantum cryptography, integrated photonics, and high-entropy alloys.