Automating Content Creation on Toutiao with AI Tools for Efficient Production and Profit

Meta Tests AI-Generated Instagram Comment Feature; User Reaction Mixed

Meta is testing a new feature that allows users to generate comment suggestions on Instagram using artificial intelligence. X user Jonah Manzano discovered and shared this test feature, showing users can tap a pencil icon below a post to access Meta AI, which analyzes the photo and provides three possible comments. Users can refresh for more suggestions if unsatisfied. A Meta spokesperson confirmed the company is testing Meta AI in multiple areas.

Westlake University Develops AI Text Detection Model to Identify AI-Generated Content

Researchers at Westlake University have recently developed a new model capable of detecting text generated by artificial intelligence. Professor Zhang Yue, the team leader, stated in an interview that this model utilizes an unsupervised algorithm to effectively determine if an article is AI-generated, a crucial development in the rapidly advancing field of AI. Professor Zhang Yue mentioned that with continuous technological advancements, AI applications in creative fields are becoming increasingly prevalent. However, this rise brings challenges, such as AI hallucinations, a phenomenon where AI generates inaccurate or nonsensical information.

Spain to Introduce New Law Imposing Heavy Fines for Unlabeled AI-Generated Content

The Spanish government has recently passed a new law imposing substantial fines on companies that fail to properly label AI-generated content, aiming to combat the spread of deepfakes. Digital Transformation Minister Oscar Lopez announced that the law, inspired by the EU's AI Act, mandates strict transparency requirements for AI systems deemed high-risk. Image caption: Image generated by AI, image licensing provider Midjourney. Lopez noted...

Xiaohongshu Cracks Down on Black and Gray Market Accounts, Strictly Controlling the Impact of AI-Generated Content on the Community

Samsung Galaxy S25 Debuts Supporting Content Credentials Technology for Identifying AI-Generated Content

Don't Be Misled by AI Facades! Instagram Head Urges Users to Focus on Content Sources

In a recent series of Threads posts, Instagram head Adam Mosseri emphasized the need for social media users to be vigilant in the face of the growing prevalence of AI-generated content. He pointed out that the images and information users see online may not be real, as AI technology is now capable of creating content that closely resembles reality. To help users better assess the authenticity of information, Mosseri mentioned that users should consider the source of the content, and social platforms also bear responsibility.

Instagram Head: Beware of AI-Generated Content, Platforms Must Strengthen Authenticity Labels

Adam Mosseri, the head of Instagram, stated on social media that users should be wary of images they see online, especially those that can easily be mistaken for reality, such as AI-generated content. Mosseri emphasized that AI technology has significantly enhanced its ability to produce realistic content, so users should approach this content with caution and consider its source, while social platforms have a responsibility to assist in this matter. He wrote, 'As an internet platform, it is our duty to label AI-generated content as much as possible.'

Meta: AI-generated content accounts for less than 1% of election-related misinformation

Google and Meta Face New Defamation Risks from AI-Generated Content

With the advancement of artificial intelligence technology, tech companies like Google and Meta are using user comments or reviews to generate AI responses on their platforms, which may lead to new defamation law risks. Legal experts in Australia point out that when users post allegedly defamatory comments on Google or Facebook, it is typically the users themselves who face legal liability. However, a significant ruling by the High Court of Australia in the Dylan Voller case in 2021 held that platforms hosting defamatory comments, such as social media pages, may also be held responsible for them.

Google Open Sources AI Text Watermark Tool SynthID to Easily Identify AI-Generated Content

Recently, Google announced the open-sourcing of its text watermark tool SynthID, aimed at helping developers better identify AI-generated text. This tool is now publicly available through Google's 'Responsible AI Toolkit'. Pushmeet Kohli, Vice President of Research at Google DeepMind, stated that this technology will enable other generative AI developers to detect whether text outputs originate from their own Large Language Models (LLMs), which will help them be more responsible.