Recently, the National Development and Reform Commission and other departments jointly issued the 'Implementation Opinions on Promoting the High-Quality Development of the Data Annotation Industry.' This policy aims to promote the specialization and intelligent development of the data annotation industry to facilitate innovation and application of artificial intelligence. It proposes utilizing talent project plans and technology projects to cultivate and attract high-end professionals. Establishing (revising) national occupational standards related to artificial intelligence training and data annotation. Deepening the integration of industry, academia, and research, encouraging long-term cooperation mechanisms among industry alliances, universities, research institutes, and enterprises, and enhancing data standards.

Recently, the National Development and Reform Commission, the National Data Bureau, and the Ministry of Industry and Information Technology jointly released the 'Guidelines for National Data Infrastructure Construction.' These guidelines aim to promote the active construction of government service large models across the country, facilitate the intelligent process of government services, and thereby improve the efficiency and quality of government services. The guidelines emphasize the importance of the data annotation industry and encourage regions to explore and innovate in the construction of data annotation ecosystems, capacity building, and application scenarios. The government will link public data, proactively disclose data of enterprises and individuals, and establish high-quality data assets.

In the field of natural language processing, large language models perform exceptionally well on complex tasks, but model evaluation heavily relies on expensive and time-consuming human-annotated data. As models advance, the utility of existing data declines, necessitating the continuous collection of new data for scalable and sustainable evaluation. The Meta FAIR research team has proposed the 'Self-Taught Evaluator' to address this issue. This innovative approach trains on synthetic data, eliminating the need for human annotation by generating contrasting synthetic preferences.

According to Hugging Face CEO Clément Delangue, an increasing number of artificial intelligence startup founders wish to sell their companies. Delangue stated that he receives inquiries from about 10 founders each week who are interested in being acquired.

OpenAI Feather secret project exposed. OpenAI has filed a trademark application. OpenAI collaborates with Scale AI. OpenAI develops internal tuning tools.

Apple is shutting down its 121-member AI team and plans to merge it with a similar team in Austin. The team responsible for enhancing Siri voice assistant's ability to understand user queries may face layoffs. The rise of artificial intelligence has led to layoffs at major companies, with funding shifting towards technological development. Voice AI is widely used among users, yet privacy and security concerns remain. Apple employees must decide whether to relocate within a month, or they will be unemployed by April 26.

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Large models bring new growth to the data annotation industry, but annotators face difficulties such as low wages and high turnover. Data annotators feel their work is meaningless and are looked down upon by highly educated algorithm engineers, leading to severe internal competition. AI companies are attempting to use automated annotation and synthetic data to replace manual annotation, putting data annotators at risk of obsolescence.