Your AI got the right answer. It still failed #ai #podcast
The discussion highlights that having a perfect evaluation score for an AI doesn't guarantee its competence in real-world applications, especially in fields like tax research where source citation is crucial. Even with high accuracy in responses, trust from professionals cannot be gained without reliable and primary references.
Summary
In this segment of the podcast, the speakers address the limitations of AI systems, even when they demonstrate impressive evaluation scores. They emphasize that passing 100 evaluations does not equate to the AI being ready for real-world applications. Specifically, the example given is tax research, where an AI might be able to answer questions correctly based on pre-training or external sources like blogs and Wikipedia. However, a professional accountant would not accept answers that lack primary source citations, indicating a gap between the AI's capabilities and the requirements of real-world professionals. This highlights the necessity for AI systems not just to be accurate but also to be trustworthy in the way they source and present information, aligning with the rigorous standards expected in professional fields.
Key Insights
- The speaker argues that achieving perfect evaluation scores does not ensure an AI's competence in practical settings.
- The example of tax research highlights the need for credible source citations in obtaining trust from professionals.
- An AI may provide correct answers based on pre-existing knowledge without guaranteeing reliability.
- Professional accountants require verification from primary sources, which affects their trust in the AI's outputs.
- The focus should be on both accuracy and trustworthiness in AI as essential factors for professional acceptance.
Topics
Transcript
[0:00] Let's say you have 100 evals. Great. They all passed and looks good. Are you confident that that now generalizes to the real world to production? And our answer has been no. Imagine you're doing something as basic as tax research. If you ask them tax question, the agent could definitely [music] get it right. They could know it from their pre-training knowledge. They could read some blog and get it correct. But a real accountant would not trust that. They would want you to site the primary source. So even if you got it right a 100 out of 100 times, if a person is just getting it right because they're going to Wikipedia, the account wouldn't [0:30]…
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