This podcasts discusses the concept of "value-per-token" in AI language models, analyzing the costs and benefits of using AI for different tasks. It explores how the cost-per-token is projected to decrease, while the value-per-token is expected to increase due to advancements in hardware, algorithms, and energy efficiency. The texts also prioritize high-value applications of AI, such as persuasive AI agents for sales, arguing that the impact of each token can be maximized by focusing on areas with high transaction value and customer engagement. It concludes that using speech-to-text transcriptions of legacy human-to-human sales calls is the most promising method for training persuasive AI agents.

Cost Per Token vs. Value Per Token Deep Dive Podcast By Google NotebookLM

seanfenlon