This issue highlights AI-powered banking insights via Mercury Command, strategies for profitable inference pricing, and the rise of “company-building” startups. It also covers common founder missteps in early sales, tactics for poaching competitors’ users, Lambda MicroVM use cases, new AI features like Claude Tag, LinkedIn’s collaborative posts, agent product pitfalls, and why moats demand ongoing effort.

This article examines the reliability issues of large language models (LLMs) used in AI, highlighting their tendency to hallucinate and produce incorrect information. New research indicates that these problems stem from the models' inherent design, raising concerns about their suitability for high-stakes applications like law and accounting. Investors may need to reconsider the viability of AI business models given these risks.