You need quality engineers to turn AI into ROI

The Stack Overflow Podcast features MongoDB Field CTO, Pete Johnson, who discusses OpenAI's GDPVal paper and its implications for AI's real-world impact. Johnson highlights that while the blog article emphasizes AI model scores, the white paper reveals significant gains when AI and humans collaborate, improving both cost and speed. Examining the paper's dataset, he shares his experience using Claude Desktop to generate a migration plan to GCP, which underscores the necessity of human elements like trust and proprietary content in AI applications. Johnson also touches on how MongoDB addresses the challenge of injecting proprietary data into LLMs through vector search and embeddings, particularly with features like Matryoshka reasoning and contextualized chunking.