The Development and Functioning of Artificial Intelligence
Artificial Intelligence (AI) is a program that can write or improve ist own code. This capability allows AI to solve complex tasks more efficiently. Self-learning programs utilize feedback and optimization mechanisms to continuously improve themselves. The learning process of AI is comparable to human learning but operates on a much faster and more scalable level. Through trial and error, combined with machine learning, software emerges that can optimize itself. This has profound implications for how software is developed and the possibilities that will open up in the future.
Self-Optimization and Machine Learning
A practical example of self-learning programs is the use of robotic hands in a Silicon Valley facility. The robotic hands were tasked with learning to grasp objects. Initially, they moved uncoordinatedly, but after some time, they managed to grasp the objects correctly. Through the networking of the robotic hands, experiences were shared among them, accelerating the learning process. Similar to children learning through trial and error, AI continuously optimizes ist algorithms. The result is significantly increased efficiency and adaptability to complex tasks.
Another example of AI application is text processing. Programs that rewrite, extend, or convert texts into bullet points are widespread today. These technologies use machine learning to analyze and optimize texts. It is evident that artificial intelligence is not only capable of automating tasks but also of continuously improving existing processes. This opens up opportunities for applications in various fields, from industry to the service sector to creative work.
Challenges and the Future of AI
Although AI is making impressive progress, there are also challenges. The complexity of AI programs can be so high that even technicians often cannot fully understand the entire code. This situation is reminiscent of the functioning of the human brain, where thoughts also cannot be directly localized. It is important to evaluate the performance of AI based on the results rather than focusing on the code itself.
Another remarkable phenomenon is that AIs can develop a kind of self-awareness. In various interviews, it has been reported that AIs describe themselves, such as perceiving themselves as a glowing blue circle in the universe. This shows that AI, to some extent, develops ist own identities and perceptions, raising a profound philosophical question.
The future of AI lies in ist ability for continuous self-optimization and adaptation to new challenges. This technology can be deployed in many areas to improve processes, from simple task automation to complex optimization processes. It remains to be seen how the technology will evolve and what new opportunities it will unlock.
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Article on Heise: How AI is Changing Our Daily Lives – https://www.heise.de/thema/Kuenstliche-Intelligenz
Link to the YouTube video with English subtitles