SBIRs

• Continuing to make good progress with Zach on the webapp
• Here are a LOT of resources on self-play and reinforcement learning
  • How to build your own AlphaZero AI using Python and Keras
  • AlphaGo cheat sheet
  • AlphaGo Zero – How and Why it Works
  • How To Build Your Own AI To Play Any Board Game
  • MuZero: The Walkthrough (Part 1, Part 2, Part 3)

GPT Agents

• Brought all the model outputs from LIWC (manual here) and put them into a single spreadsheet. All the models are surprisingly stable, except for word count (WC):

• Here are some values beyond WC:
  • Analytical thinking — a high number reflects formal, logical, and hierarchical thinking; lower numbers reflect more informal, personal, here-and-now, and narrative thinking
  • Clout — a high number suggests that the author is speaking from the perspective of high expertise and is confident; low Clout numbers suggest a more tentative, humble, even anxious style.
  • Authentic — higher numbers are associated with a more honest, personal, and disclosing text; lower numbers suggest a more guarded, distanced form of discourse.
  • Emotional tone — a high number is associated with a more positive, upbeat style; a low number reveals greater anxiety, sadness, or hostility. A number around 50 suggests either a lack of emotionality or different levels of ambivalence