What does "Transcendence" mean?
Table of Contents
Transcendence refers to a situation where a system or model can perform better than the experts or original sources that created its training data. This idea is often seen in the context of artificial intelligence and machine learning, where models learn from existing information and can sometimes exceed the skills of the humans who produced that information.
Examples in AI
One common example is training a model to play games, like chess. When a model learns from the games played by human experts, it may eventually develop strategies that allow it to outplay those experts. This shows that the model has reached a level of skill greater than its creators.
Theoretical Insights
Researchers look into how this phenomenon occurs and test various methods to see how it can be achieved. They may find that specific techniques in training the model can lead to better performance, which helps to explain why and how these models can sometimes outperform human experts.
Further Exploration
The study of transcendence involves not just games, but also other areas in math and science. It raises questions about how models learn and what makes them capable of achieving results beyond what was expected. This topic is open for more research and offers interesting insights into the capabilities of artificial intelligence.