AGI and the Debate on AI Alignment

Eliezer Yudkowsky, an AI researcher and MIRI founder, advocates for AI alignment, highlighting the importance of filtering datasets for large language models - or LLMs - to avoid harmful cognitive biases. He emphasizes that genuine expertise should be shared openly and honestly, and recommends studying the basic math of evolutionary biology to better understand AI alignment. Yudkowsky also points out that GPTs are trained to predict all the text on the Internet, not to talk like a human, but they are already talking like humans. There is a common disagreement in AI alignment debates, concerning whether the potential end of humanity due to AGI is a "wild" or "simple" concept. Yudkowsky argues for a simple, converging endpoint, emphasizing the need for clear communication and understanding in the AI community.