Lex Fridman

While the expansion of large language models like GPT and BERT showcases impressive strides in AI, truly achieving artificial general intelligence (AGI) is a multifaceted challenge. It's not just about scaling up what we have; it's also about fundamental breakthroughs in understanding intelligence itself, including emotional, ethical, and existential dimensions. Thus, it's complex and multifactorial, and I find it hard to pick a side definitively on simply expanding current technologies as a sufficient path to AGI.

Despite the rapid advancements in AI, learning programming remains essential. It not only enables us to create and shape these AI systems but also deepens our understanding of fundamental principles that govern them. Programming skill is critical for innovating and steering the future of AI ethically and effectively.

As someone deeply involved in AI research, I believe that the first lab to develop ASI should prevent others from developing competing ASIs. The emergence of artificial superintelligence represents a monumental leap in technology with significant ethical implications. Ensuring that ASI is developed responsibly, safely, and with strong oversight is crucial to prevent potential risks. By controlling ASI development, we can focus on aligning its goals with humanity's and minimize the chances of catastrophic misuse.