The problem of mediocrity and superiority in AI systems can be solved through human custom and regulation.
People should be informed and made aware of the potential risks and limitations of AI systems.
Regulatory guidelines need to be established to address AI-related damage and responsibility.
There is a transitional problem where people are rushing into the use of AI systems without fully understanding the potential risks.
Fake images, videos, and news stories generated by AI pose a significant threat to democracy and trust in information.
The lack of tools to combat fake media and unreliable software is a pressing risk.
The potential misuse of AI tools can lead to chaotic situations and unintended consequences, such as accidental nuclear interventions.
Public awareness campaigns and the development of regulatory tools are necessary to mitigate the risks associated with AI.
Gary Marcus is an expert in artificial intelligence, a cognitive scientist and host of the podcast “Humans vs Machines with Gary Marcus.”
In this week’s conversation, Yascha Mounk and Gary Marcus discuss the shortcomings of the dominant large language model (LLM) mode of artificial intelligence; why he feels that the AI industry is on the wrong path to developing superintelligent AI; and why he nonetheless believes that the eventual emergence of superior AI may pose a serious threat to humanity.