Lying and Verifiable Reasoning

Paul and Dwarkesh discuss the difficulty of lying in brain emulation or AI systems, as well as the challenges of specifying human verifiable rules for reasoning. They explore the possibility of understanding the valid conclusions reached by super intelligent AI, even if the steps are not fully comprehensible.

In this clip
From this podcast
Dwarkesh Podcast
Paul Christiano - Preventing AI Takeover
Related Questions
- Can AI become superintelligent?
- What do you think about the potential for Large Language Models (LLMs) to scale to Artificial General Intelligence (AGI) as discussed in the episode "Aravind Srinivas: Perplexity CEO on Future of AI, Search & the Internet | Lex Fridman Podcast #434" and the clip "Fluid Intelligence Insights"?