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Published · transcript-backedBrendan Foody: commitment
7 Jan 2026 Conversations with Tyler Brendan Foody on Teaching AI and the Future of Knowledge Work
“One thing I will say, though, is that there are two kinds of data, is a good way of thinking about it.”
Source trail
Everything needed to verify it.
- Speaker
- Brendan Foody
- Attribution
- Verified speaker
- Claim type
- commitment
- Recorded
- 7 Jan 2026
- Publisher
- Conversations with Tyler
Transcript context
…Let’s say we took the live economics or legal, whatever seminars — let’s say the top 10, top 20 schools — recorded them all, somehow anonymized the data, but you had the comments in transcript, and sent that to you. Would that be useful? It would be very useful. One thing I will say, though, is that there are two kinds of data, is a good way of thinking about it. The first kind of data is just the output, where you have some curriculum that the model is reading and learning from. The second kind of data is some way of measuring success, where you have the rubric for the response, you have the test question and answer, you have the unit test, and code. That second kind of data is the most valuable, where we’re able to have the models attempt the problem many, many times, score those responses, and learn from them, but both are incredibly impactful and things we would love to get support with. On your wish list — just to make this more concrete — you can have some kind of data. Forget about realism, you just get it for free. What is it you most want? Let’s say social sciences, forget about realism.…
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