
A forum tied to the 6th China AI Competition in Xiamen highlighted a shift in China’s AI ecosystem from “bigger models” toward measurable capabilities and safety governance, with dedicated tracks including large-model adversarial contests and AIGC video detection. Organizers said the competition drew nearly 700 teams and around 1,200 submissions—useful as a barometer of where academic and industrial talent is clustering (and which tasks are becoming standardized). The accompanying AI safety governance forum reported the release of AI security benchmarks and a new batch of AI security evaluation results, pushing the industry toward compliance-style scoring rather than purely benchmark-chasing. Notably, representatives from Huawei, iFlytek, Alibaba Cloud, Baidu, China Telecom’s AI research arm, and QiAnXin were referenced as part of the broader expert/enterprise participation—signaling that security vendors and telecoms are increasingly central to China’s “trust layer” for deployed AI. The takeaway for the Race-to-AGI landscape: national contests are being used not just to discover talent, but to align industrial roadmaps around safety baselines, detection tooling, and operational requirements for real-world deployment.
This article aggregates reporting from 1 news source. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
Joint study agreement between PLN Indonesia Power and Huawei to develop AI‑based digitalisation solutions for Indonesian power plants, starting with PLTU Banten 3 Lontar.

