• Discussion of extracting piano sheet music directly from audio recordings; participants note that frequency analysis (FFT) in Audacity shows noisy spectra with ambiguous harmonics, making automatic transcription non-trivial.  
• Reference to an existing YouTube performance (https://youtu.be/SuTO6cJIwvo?t=61) used as a case study; the idea of paying the performer for an overhead keyboard recording is floated as a practical workaround.  
• Brief mention of DeepMind’s Atari-playing AI and back-propagation as topics of interest, indicating ongoing curiosity about reinforcement-learning breakthroughs.  
• Technical side-thread on Git’s “textconv” directive, explained as a way to register external programs so Git can treat non-text files as diff-able text.  
• Observation that converting piano audio to MIDI first would simplify sheet-music generation, with the caveat that real acoustic pianos produce complex, inharmonic spectra rather than pure tones.