Description
Tamay Besiroglu joins the podcast to discuss scaling, AI capabilities in 2030, breakthroughs in AI agents and planning, automating work, the uncertainties of investing in AI, and scaling laws for inference-time compute. Here's the report we discuss in the episode:
https://epochai.org/blog/can-ai-scaling-continue-through-2030
Timestamps:
00:00 How important is scaling?
08:03 How capable will AIs be in 2030?
18:33 AI agents, reasoning, and planning
23:39 Automating coding and mathematics
31:26 Uncertainty about investing in AI
40:34 Gap between investment and returns
45:30 Compute, software and data
51:54 Inference-time compute
01:08:49 Returns to software R&D
01:19:22 Limits to expanding compute
Connor Leahy joins the podcast to discuss the motivations of AGI corporations, how modern AI is "grown", the need for a science of intelligence, the effects of AI on work, the radical implications of superintelligence, open-source AI, and what you might be able to do about all of this.
Here's...
Published 11/22/24
Suzy Shepherd joins the podcast to discuss her new short film "Writing Doom", which deals with AI risk. We discuss how to use humor in film, how to write concisely, how filmmaking is evolving, in what ways AI is useful for filmmakers, and how we will find meaning in an increasingly automated...
Published 11/08/24