Book

• Finished first pass at GPT-3 interview
• Work on Epilogue. Done? At least the first pass
• Start hunting down TODO’s

SBIR’s

• 9:15 Standup
• Write up the current RCSNN results and create slides for tomorrow’s presentation with Rukan
• I think that the error calculation should be a statistical measure of the divergence over a given window, which could include the entire prediction, but would otherwise be a tail of n
  • The average error
  • The variance (std dev, etc)
  • Outliers (e.g. rare, BIG errors)
  • Linear regression calc for error and variance
• The reason that I think that this matters is that a prediction could have occasional large errors but otherwise be good, and we need a way to know that and characterize our results

GPT Agents

• Getting back up to speed on Jarod’s work, which looks amazing.
• Need to find some synonyms for slur