Zhou Hongyi Calls for a Rational Perspective on AI Large Models

At the China Entrepreneur Annual Conference, Zhou Hongyi discussed the craze for AI large models. He urged a rational understanding of the capabilities of large models, emphasizing not to overestimate their current abilities while also not underestimating their future potential. He reminded everyone to fully leverage the strengths of large models while addressing their shortcomings.

U.S. Poll Shows 64% of People Say AI Development Is Too Fast, Nearly 80% Call for Government to Ensure Safety and Control

A recent poll shows that concerns about the rapid development of AI have crossed party lines among U.S. citizens. Most people believe the government should prioritize ensuring AI remains under human control and strengthen protection for workers. 64% of respondents said AI development is too fast, while only a small number felt the pace was appropriate or too slow. Concerns about the risk of AI becoming uncontrollable by humans are driving demands for regulation, making it a central issue in public policy. Several leading tech executives have also called for stronger governance.

South Korea Enacts Law to Facilitate AI: Use of Limited Personal Data After Regulatory Review

The South Korean National Assembly passed an amendment to the Personal Information Protection Act, allowing AI developers to use personal data within a limited scope after review by the Personal Information Protection Committee, breaking the previous rigid requirement that data be used for AI development only with individual consent. This move addresses long-standing industry complaints, as exemptions were previously limited to a few scenarios such as voice fraud prevention and autonomous driving, with short durations. The new regulations expand the available data space for AI development.

Former Core Technical Staff of Qwen Speaks Out: Large Models Are Evolving into Action-Oriented Entities

Lin Jinyang, former head of Tongyi Qianwen technology at Alibaba, released his first article after leaving the company, pointing out that large models are shifting from "reasoning-based thinking" to "agent thinking." The future focus will be on whether the model can think for action and continuously refine its plans through interaction with the real world.

Tencent Cloud's Billing Strategy Undergoes Major Adjustment: Prices of Some AI Models Rise Significantly

The Tencent Cloud Intelligent Agent Development Platform will adjust its AI model billing strategy starting March 13, 2026. The key changes include ending the free trial of public test models and optimizing the pricing of self-developed Hunyuan series models. This move marks the maturity stage of Tencent Cloud's AI commercial ecosystem. Among them, three high-performance models, GLM5, MiniMax2.5, and Kimi2.5, will end their limited-time free public testing.

Zhou Hongyi Calls for a Rational Perspective on AI Large Models

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