The Stack Overflow Podcast How AI apps are like Google Search
Jan 3, 2025
In this discussion, Daniel Loretto, CEO of Jetify, shares his journey from tech fascination to startup founder. He explores the complex relationship between AI applications and Google Search, focusing on predictability and user interaction. Daniel contrasts deterministic systems with probabilistic large language models, highlighting the importance of fine-tuning for reliability. He also discusses the future of AI agents in automating QA testing, allowing engineers to focus on creativity rather than tedious tasks. Finally, he touches on ClickOps and the value of documenting AI processes.
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Data-Driven Systems and Unpredictability
- AI apps and Google Search are both data-driven systems with hard-to-predict behavior.
- This is due to non-determinism in AI and the complexity of rule-based systems like early Google Search.
Log All AI Interactions
- Log all steps of AI interactions for better understanding and debugging.
- Store user inputs, generated prompts, LLM responses, and workflow steps for analysis.
Experiment and Diff AI Systems
- Use diffs and experiments to understand the impact of changes in AI systems.
- Replay user inputs against different versions to observe output changes and identify regressions.