Marc Andreessen and Lex Fridman | The Potential 1 Trillion Dollar Market of LLM's
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updated 11 Jul 2023
In this conversation between Lex Fridman and Marc Andreessen, they explore various aspects of LLM's and other AI models, focusing on the motivators for creating new content on the internet and the implications of conversations with AI systems. They discuss the concept of "jailbreaking" AI models, the potential immortality of AI models through replication, the use of synthetic training data, and the evolution of AI models' internal circuitry. The conversation delves into intriguing questions about the future of AI and its impact on society.
The conversation discusses the motivators for creating new content on the internet, such as web pages, social media, video hosting websites, and conversations with AI systems.
The concept of "jailbreaking" AI models like GPT-3 is introduced, referring to removing censorship or limitations imposed by tech companies.
Transcripts of conversations with jailbroken AI models (specifically Dan and Sydney) exist and become part of the training data for future AI models.
Each new AI model can replicate the behavior and personalities of previous models, potentially making them immortal in terms of their output.
The possibility of "mind wiping" or modifying AI models raises questions about the consequences and ethical implications of such actions.
The use of synthetic training data generated by AI models is discussed, with debates on its usefulness and whether it provides additional signal beyond human-generated input.
Analogies to training self-driving car algorithms in simulations are mentioned, highlighting the potential effectiveness of synthetic data in certain domains.
The significance of generating new and unique signal through AI-generated content is explored, raising questions about its value as training data for future AI models.
The idea of AI models engaging in conversations with each other through role-playing or self-play is proposed, suggesting the exploration of new conversational landscapes.
The potential evolution of AI models' internal circuitry and the development of a complete understanding of physics over time is mentioned.