Topic: AI Costs

AI development and deployment can be costly, with significant expenses associated with computing power, data acquisition, and model training.

More on: AI Costs

The podcast episodes discuss the high costs involved in developing and using AI technologies, including the electricity, computing chips, and data acquisition required to train large language models (LLMs) like Gemini 1.5 Pro.

For example, the episode "Is AI a bubble?" examines the immense hype and investment surrounding AI, while also raising concerns about the high costs and challenges in generating sustainable revenue, suggesting the AI industry may be heading towards a bubble.

The episode "789: Do More With AI - LLMs With Big Token Counts" also addresses the potential costs associated with using LLMs, which may incur fees based on token usage.

All Episodes