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The Gemini API has launched an implicit caching feature, offering developers significant cost optimization experiences. This new functionality eliminates the need for developers to manually create caches; when requests share a common prefix with previous requests, the system automatically triggers cache hits, providing up to a 75% discount on tokens. This update now covers the Gemini2.5Pro and 2.5Flash models, further enhancing the cost-effectiveness of AI development. For more details, please refer to the official website: https://develo

The National Internet Information Office recently released the 'Measures for Labeling AI-Generated Synthetic Content (Draft for Comments)', aimed at regulating the labeling of AI-generated synthetic content, safeguarding national security and public interests, and protecting the legitimate rights and interests of citizens, legal persons, and other organizations. This measure is formulated based on the 'Cybersecurity Law of the People's Republic of China', 'Regulations on the Administration of Algorithms for Internet Information Services', 'Regulations on the Administration of Deep Synthesis in Internet Information Services', and the 'Interim Measures for the Administration of Generative Artificial Intelligence Services', among other laws and regulations. The deadline for feedback is the 20th.

Language models have shown widespread applications across various fields, from education to legal consulting, and even in predicting medical risks. However, as these models gain more weight in decision-making processes, they may unintentionally reflect the biases present in the human training data, exacerbating discrimination against minority groups. Research has found that language models exhibit implicit racism, particularly in their treatment of African American English (AAE), demonstrating harmful dialect discrimination that is more negative than any known stereotypes against African Americans. The 'masking disguise' method was used to compare AAE with Standard American English.

Recent research reveals that well-known AI chatbots, such as ChatGPT, propagate false medical beliefs about Black individuals. Researchers at Stanford University discovered through questioning AI chatbots that their responses contained erroneous views regarding kidney function, lung capacity, and muscle mass. This raises concerns as incorrect medical information could exacerbate health disparities.