This podcast episode explores the world of AI agents and the challenges in developing and deploying them. The hosts discuss Embeu, a company that specializes in building AI agents. They delve into topics such as reasoning, inspecting and debugging AI models, and the importance of benchmarks and scaling laws. The episode also touches on the unique culture of a hacker house and the concept of senius, a community that fosters innovation. The hosts emphasize the need for trustworthy AI models and the role of data in model development. They also discuss the potential future advancements in AI, including the development of an operating system for agents and the integration of human judgment with AI capabilities. Overall, this episode provides insights into the current state and future possibilities of AI agents.
Main points
• Introduction to Embeu and the hosts' guest, kenjun.
• The challenges in building AI agents for recruiting.
• The development of language models and their potential for self-supervised learning.
• The mission of MVU to rekindle the dream of the personal computer.
• The evolution of a research lab to a startup and the challenges it entails.
• The optimization of reasoning in AI models and the role of data.
• The use of generated data in AI models and the importance of reasoning in improving performance.
• The development of Avalon, a simulated world for training AI agents.
• The challenges and limitations of agent development.
• The tools and strategies for inspecting and debugging machine learning models.
• The future implications and advancements in AI.
• The early stage development of agents and the challenges they face.
• The role of memory in agent development and the need for greater working memory.
• The vision of building an operating system for agents.
• The balance between curiosity and goal orientation in agent development.
• The curiosity-driven approach to building a hyper parameter optimizer.
• The involvement in the San Francisco tech scene and building exceptional communities.
• The concept of senius and its impact on innovation.
• The role of the speaker as a venture capitalist and their work in supporting founders.
• The importance of safety, policy, and regulation in the AI field.
