• Deezer open-sourced “Spleeter,” a state-of-the-art source-separation engine that can isolate vocals, drums, bass, and other stems from music tracks with a single command; the TensorFlow-based model and pre-trained weights were released on GitHub.  
• A participant announced plans to write a paper for the Mars Society’s “Mars City State Design Competition,” noting that although the field will include elite teams, the exercise itself is valuable for exploring large-scale off-world habitat engineering.  
• Discussion briefly touched on the need for a programmatic log-search tool for the channel’s multi-year IRC archives, with the suggestion that keyword and regex queries could help surface past technical debates and references.  
• An Internet Archive link to a 1.9 GB TensorFlow model file (model.data-00000-of-00001) was shared, likely related to Spleeter or another ML project, providing direct access to pre-trained weights for experimentation.  
• The channel’s ongoing concern with minimizing administrative overhead was reiterated, with one member stating that ideally no more than ~5 % of total effort should be spent on tooling and maintenance rather than research.