~/talk

Questions for Theory in the New Age of Machine Learning

on YouTube 42m
Talkat The Role of TCS in Modern Machine Learning · 2026-05-26..05-29· [large-language-models, machine-learning]

speaker

name:Tom Mitchell
links:none on file

resources

video:https://youtu.be/h8XjsIu2T34
slides:none on file

summary

Argues that LLMs become the learning substrate: using GPT-4 to generate justifications from 125 examples of CK-12 hints, distilling them into seven principles rubric that boosts classification without numeric parameter tuning; builds a running agent called Predict Anything that searches web sources (FRED, Google Trends), writes Python data-fetching code, logs per-function traces for Claude to self-reflect, and iteratively improves tasks; reports an unemployment prediction moving 4.30% → 4.23% and finds school-calendar signals improve flu forecasts.

AI-written summary · about

chapters (8)

  1. 0:00Workshop introduction
  2. 3:56Conventional ML wisdom
  3. 7:12Challenging ML assumptions
  4. 10:32LLM justifications for classifiers
  5. 18:11Predicting without features
  6. 24:14Agents writing their own code
  7. 31:48Theory opportunities in ML
  8. 33:36Audience discussion and reflections

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