Has the development of ai humanizer matured?

At present, ai humanizer has made significant progress in humanization, but it is still not fully mature. ‌
Artificial intelligence (AI) is shifting towards "humanization", mainly reflected in the following aspects:
Personalized and precise response: AI technology enables data applications to develop towards reasoning, judgment, and even imitation of human creativity. AI partners can provide personalized and precise responses in various forms, such as suggestions, summaries, articles, images, and even artworks. Generative AI is reshaping traditional data and software, with big language models refreshing the relationship with information, having a significant impact on search businesses and the future of software and data-driven enterprises.
Intelligent agents form an ecosystem: In the future, AI will become agents in personal life and work, and interact with other agents to form a vast ecosystem. Intelligent agents not only provide advice to humans, but also act on their behalf, rethinking intelligence and automation strategies. In the fields of education, healthcare, business, etc., intelligent agents can serve as virtual teaching assistants, doctor assistants, enterprise agents, etc., providing support for various fields.
Human computer interaction technology: By using brain computer interfaces and other technologies, more natural human-machine interaction can be achieved, which has potential applications in fields such as medical rehabilitation and entertainment. These technologies enable AI to better understand human needs and intentions, thereby providing more humane services.
Although AI has made significant progress in humanization, it still faces some challenges:
Technological maturity: Although current artificial intelligence technology can demonstrate self-learning and reasoning abilities in many fields, there is still room for improvement in decision-making and emotional understanding in complex situations. AI may encounter difficulties when dealing with highly complex and uncertain situations.
Ethical and legal issues: With the widespread application of AI technology, ethical and legal issues are becoming increasingly prominent. Further research and solutions are needed to ensure the fairness, transparency, and interpretability of AI systems, as well as to address issues such as personal privacy and data security.
Social acceptance: Although AI technology has shown great potential in many fields, the acceptance and trust of AI in society still need to be improved. How to make the public better understand and accept AI technology, and integrate it into daily life and work, is an important challenge.