Dentist!

Book

• Did a little more tweaking on the visualization to make screenshots more legible:

• I also can make the philosophy map this way, so that part of the chapter can set up this technique:

JuryRoom

• Discussion with Panos and Aaron yesterday. Not sure where things are going, but definitely nearing the end of this stage (Huri Whakato)

SBIRs

• 9:15 Standup

GPT Agents

• Continue working on paper
• I’m really liking the Computer-Assisted Keyword and Document Set Discovery paper:
  • Our algorithm is human-led and computer-assisted rather than fully automated; it is related to semi supervised learning (Zhu and Goldberg 2009).
• Found this in the Scholar list of citing papers: Separating the wheat from the chaff: A topic and keyword-based procedure for identifying research-relevant text. It’s in Poetics, which actually seems like a potential venue for this paper if it gets rejected
• I think that a good way to show how this matters is to use TTestIndPower to calculate the minimum sample size to determine if the populations are different as described in this tutorial