This podcast explores the chaotic state of AI, the need for reflection, and the challenge of keeping up with advancements while caring for people in the field. It also discusses the subversion of scientific progress through a secondary market for papers and the origins of deep learning.
Creating a space for levity in AI conversations can help prioritize understanding and caring about each other rather than labeling.
The online algorithmic process in AI development has hindered the storytelling aspect of science, hindering thoughtful exploration and promoting arbitrary progress.
Deep dives
The Chaos of AI and the Need for Reflection
The podcast discusses the chaotic nature of AI and the importance of taking a step back to reflect on what is happening in the field. The speaker highlights the overwhelming amount of noise and speculation surrounding AI, with people constantly talking about what they think has been built or what someone else thinks they're building, all while receiving enormous amounts of funding. The speaker advocates for creating a space for levity, where people can maintain a coherent worldview and have good-natured conversations that prioritize understanding and caring about each other rather than putting labels on them.
The Shift in Science Distribution and the Subversion of Progress
The podcast also addresses the shift in the way scientific papers are distributed, with algorithms and incentives aimed at manipulating distribution by emphasizing credibility and relevance. The speaker argues that this online algorithmic process has subverted the storytelling aspect of science and hindered the deliberative process that research should follow. They suggest that progress in AI is now driven more by online mechanisms rather than a thoughtful exploration of valleys and mountains. The podcast raises questions about the arbitrary nature of AI development and the need to consider alternative approaches and assumptions.
1.
The Chaotic State of AI and the Need for Reflection