Chinese AI • Open Source • Security • Incidents. Signal, not noise.
Muxi, a Chinese high-performance GPU maker, lists on STAR Market with shares surging over 500% to a valuation exceeding 270 billion RMB (≈$37 billion USD), despite a 9-month loss of 350 million RMB (≈$48 million USD).
XPeng’s second-gen VLA with L4 capabilities is expected to fully deploy in vehicles by Q1 2026, following Guangzhou L3 testing and China’s first L3 commercialization pilots.
Huawei announces the WATCH 10th Anniversary Edition smartwatch, set for reveal on December 22 alongside the nova 15 series, featuring a commemorative design similar to the WATCH 5.
ByteDance releases Seedance 1.5 Pro, a multimodal model for joint audio-video generation from text or images, now live on Jimeng AI and Doubao.
OneRobotics passes HKEX hearing and is set to become the “first AI embodied home robot stock,” with strong products like Acemate and Kata Friends driving global growth.
Greetings from a world where…
Greetings from a world where…
Why Chinese parents have sought out Zebra English's AI tutor Jessica
Hopes and delusions about China's Little AI Dragons
Greetings from a world where…
In recent years, LLM Multi-Agent systems have garnered widespread attention for their collaborative approach to solving complex problems. However, it's a common scenario for these systems to fail at a task despite a flurry of activity. The post Which Agent Causes Task Failures and When?Researchers...
ByteDance introduces Astra, an innovative dual-model architecture revolutionizing robot navigation in complex indoor environments. The post ByteDance Introduces Astra: A Dual-Model Architecture for Autonomous Robot Navigation first appeared on Synced.
MIT introduces SEAL, a framework enabling large language models to self-edit and update their weights via reinforcement learning. The post MIT Researchers Unveil “SEAL”: A New Step Towards Self-Improving AI first appeared on Synced.
"Automated failure attribution" is a crucial component in the development lifecycle of Multi-Agent systems. It has the potential to transform the challenge of identifying "what went wrong and who is to blame" from a perplexing mystery into a quantifiable and analyzable problem The post Researchers...
By combining State-Space Models (SSMs) for efficient long-range dependency modeling with dense local attention for coherence, and using training strategies like diffusion forcing and frame local attention, researchers from Adobe Research successfully overcome the long-standing challenge of...