Summary: We are entering a new era of artificial intelligence where agents will learn from their own experiences rather than relying on human data. These agents will be able to adapt over time, explore their environments autonomously, and develop strategies that go beyond human understanding. This shift promises to lead to superhuman capabilities and innovations in AI.
Artificial intelligence (AI) has made remarkable strides over recent years by training on massive amounts of human-generated data and fine-tuning with expert human examples and preferences. (View Highlight)
In key domains such as mathematics, coding, and science, the knowledge extracted from human data is rapidly approaching a limit (View Highlight)
To progress significantly further, a new source of data is required. (View Highlight)
This can be achieved by allowing agents to learn continually from their own experience, i.e., data that is generated by the agent interacting with its environment (View Highlight)
AlphaProof [20] recently became the first program to achieve a medal in the International Mathematical Olympiad, eclipsing the performance of human-centric approaches [27, 19]. (View Highlight)
