Is AI Spread Rumors Illegal? China's First Case of Defamation Involving AI Large Models Concludes with a Final Judgment! The Court Ordered Baidu to Apologize

While artificial intelligence brings convenience, the false information it generates is gradually crossing legal boundaries. Recently, the highly anticipated first case of "defamation by AI large model" in China reached a final judgment in Nanjing, Jiangsu.

The case originated from a practicing lawyer in Jiangsu, Li Xiaoliang. When he used Baidu's "AI intelligent answer" product to search for himself, he was surprised to find that the AI-generated search results included serious defamatory false information such as "being sentenced to three years in prison." As a lawyer, there are high requirements for reputation and compliance, and this fabricated criminal record had a negative impact on Li Xiaoliang's personal reputation and career.

In response to this serious "AI rumor-mongering" behavior, Li Xiaoliang subsequently filed a lawsuit against Beijing Baidu Net Technology Co., Ltd., demanding that the company bear the liability for infringement.

After reviewing the case, the court ruled that AI large models should ensure the authenticity and objectivity of the information when generating content and should not spread false facts that damage others' reputation. As the operator of the AI product, Baidu Company was found to have infringed on Li Xiaoliang's right to reputation through the involved response, and must bear legal consequences.

According to the final judgment by the Nanjing court, Baidu Company was determined to constitute defamation. The court ordered the defendant to issue a written apology letter to the plaintiff Li Xiaoliang within ten days of the judgment taking effect to eliminate the negative impact.

This case's conclusion not only clarifies the clear legal boundary for content generated by artificial intelligence, but also reminds major AI research institutions: algorithm recommendations and AI answers are not beyond the law. Developers must simultaneously strengthen the verification of the authenticity and compliance management of the output content while exploring ways to improve model capabilities.

Baidu Releases Ernie5.1: Pre-training Cost Drops by 94% and Performance Rises to Top Four in Global Search Rankings

Baidu released its new language model Ernie5.1 on May 11, 2026, based on the pre-trained foundation of Ernie5.0 with 2.4 trillion parameters. Through a 'one-time elastic training framework', it achieves single training optimization for multiple model sizes, with pre-training cost only 6% of similar models. As of May 9, the model ranked fourth globally and first in China on the Arena Search ranking with 1223 points, demonstrating high resource utilization and performance balance.

Baidu Releases Wenxin Large Model 5.1: Search Capabilities Rank First in the Country, Pre-training Cost is Only 6% of Industry Standards

Baidu launches the new generation Ernie Bot 5.1, featuring 'multi-dimensional elastic pre-training' technology, emphasizing high cost-effectiveness and strong search integration. Now available on Baidu Qianfan Model Plaza and Ernie Bot official website, it offers open experience for enterprise users and developers, showcasing a breakthrough in domestic large models amid AI competition.....

AI Hallucinations Can Also Bear Legal Responsibility! Baidu Was Ordered to Apologize for AI-Generated False and Infringing Information

Recently, Nanjing lawyer Li Xiaoliang discovered that Baidu's 'AI Intelligent Answer' falsely claimed he 'was sentenced to three years in prison' with his professional photo. This 'AI hallucination' severely misrepresents facts, infringes on his reputation rights, and raises social concerns about the authenticity and legal liability of AIGC content.....

Trillion-Level Computing Race Intensifies: Kimi K3 to be Unveiled in Third Quarter, Parameter Scale Targeting 2.5 Trillion

Competition among domestic AI large models is intensifying. After the DeepSeek V4 sparked widespread discussion, Kimi K3 under Moonshot is expected to make its debut in the third quarter of this year, with a parameter scale potentially reaching 2.5 trillion, far exceeding the 1.6 trillion of DeepSeek V4 Pro and about 1 trillion of Baidu Wenxin 5.0. The parameter scale has become a key indicator for measuring model capabilities.

Global AI Computing Power Is on the Rise! Token Usage Has Seen a Major Reversal for the First Time in Two Years

The global usage of tokens by AI large models has recently fluctuated, and after ten consecutive weeks of growth, it has declined for two consecutive weeks. From April 13 to 19, the total global token usage remained at 20.6 trillion tokens. Among them, the weekly token usage of Chinese AI large models, which had previously shown strong performance, dropped significantly by 23.77% compared to the previous week, reaching 4.44 trillion tokens, while the US market showed a different trend, leading to significant shifts in the market landscape.