SIGNAL//SYNTH
Ai

Can AI Agents Learn From Expert Corrections?

aired Jul 01, 2026 · 52.0m
Signal
89.3/ 100
Essential
confidence 0.99
Orig49.0
Actn100.0
Dens100.0
Dpth100.0
Clty77.5
Summary

So basically right now how it works is that the practitioners start with basically grouping all of the data sources that they need to be analyzed. So as Arthur mentioned, this would be, for example, you know, multiples and like huge quantities of like PDF document.

Why listen

It goes beyond the title with direct discussion of like, know, think, including: So as Arthur mentioned, this would be, for example, you know, multiples and like huge quantities of like PDF document.

Key takeaways
  1. 01The model definitely gets better at identifying when it doesn't know something, but basically helping it going, you know, knowing when it is good or not
  2. 02The structure of the tax engine helps us a little bit get provide initial structure and comparison compared to if you didn't have this, you just had like the end documents
  3. 03So today we're joined by OpenAI's John DeWasseg and Arthur Fernandez, forward deployed engineers to Thrive Capital who helped build the joint venture TaxAI with Codex
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