Large Language Models

The 2025 World Artificial Intelligence Conference (WAIC) showcased a shift in focus from Large Language Models (LLMs) to embodied intelligence, particularly humanoid robots. The event, touted as the “largest WAIC ever,” featured over 800 exhibitors. While humanoid robots drew huge crowds and high ticket prices, some insiders noted a “playing it safe” approach, prioritizing fundraising over groundbreaking innovation. LLM companies, while still present, appeared more subdued, focusing on practical applications and revenue generation, with many aiming for “¥1 billion in revenue.” Concerns linger about a potential bubble, especially in embodied intelligence.

Tencent’s Robotics X Lab and Futian Lab launched Tairos, a modular embodied AI open platform designed to advance robotics in China. Tairos uses large-scale AI models, offering a “plug-and-play” system with development tools and data services. The platform empowers robots to perceive, plan, and autonomously make decisions. Tairos includes multi-modal perception, planning, and perception-action joint models, improved by a cloud simulation environment and Tencent Games’ scene generation tech. Initial partners will help improve real-world applications of embodied AI tech through collaboration.

CAICT’s AI Institute launched security benchmark testing for code-generating LLMs, assessing risks and capabilities using a dataset of 15,000+ test cases across nine languages and various attack methods. The initial assessment of 15 Chinese models (3B-671B parameters) revealed varied security levels, with most exhibiting medium risk. Models showed weaknesses in scenarios involving malicious intent, highlighting vulnerabilities to cyberattacks. CAICT plans to expand testing to international models and develop mitigation tools, aiming to promote a secure LLM ecosystem.

GSR Ventures Managing Partner Zhu Xiaohu predicts that large language models (LLMs) will “devour” 90% of AI Agents. His comments, shared on Xiaohongshu, follow previous skepticism about embodied AI and highlight his firm’s bullish stance on the broader AI landscape, evidenced by investments in companies like Robopoet and LiblibAI. Zhu likened AI Agent startups to early internet webmasters, suggesting they learn from successful internet companies. His perspective sparks debate about the long-term viability of standalone AI Agents.

Huawei has open-sourced its Pangu 7B dense and Pangu-Pro MoE 72B large language models, along with Ascend-based inference technology. This move supports Huawei’s Ascend ecosystem strategy, aiming to accelerate AI research and application. The Pangu-Pro MoE 72B model shows strong performance, ranking highly on benchmarks for models under 100 billion parameters.