I had home-grown tomatoes this morning!

And I hung up my shiny new diploma!

GPT-2 Agents

• I think it’s time to start writing the paper. Something like Synthetic Agents in Language Models: Navigating belief
  • Using the IEEE(ACSOS) template
  • Set up the paper with authors and dummy text. Starting to fill in the pieces
• Writing the methods section and needed to count the number of games (#draw + #resigns). The easiest way to do this was jut to count all the word frequencies. Here are the top terms:

  to : 1474559
  from : 1472081
  moves : 1472071
  white : 1062561
  black : 1056840
  pawn : 392494
  in : 330044
  move : 307701
  takes : 307166
  rook : 258476
  knight : 250998
  bishop : 225442
  queen : 175254
  king : 173837
  pawn. : 145164
  check. : 91512

   

• The list goes on a while. The most mentioned squares are d4 (56,224), d5(53,986), and f6(48,772)

God help me, I’m updating my IDE

GOES

• Asked Vadim to exercise the satellite through +/- 90
• Need to start working on the mapping of rwheels to inertial(?) frame. The thing is, the yaw axis rotates 360 degrees every day, so what frame do we use? My thinking is that the inertial frame (as defined by the star tracker) is unchanging, but we have a rotating frame inside that . The satellite’s moves are relative to that rotating frame plus the inertial frame. So the satellite’s first task is to keep its orientation relative to the rotating frame, then execute commands with respect to that frame. So a stacked matrix of inertial frame, Earth frame, vehicle matrix and then a matrix for each of the rwheels?