- Participants debated whether future AI models could be adopted as “children,” weighing the computational cost of running a personalized, continuously-learning model against the relative cheapness of human children; rough estimates of $10/day in electricity were floated as a plausible upper bound for a household-scale system.  
- The channel explored alternatives to software AGI, including 3-D printing or micro-patterning thin sheets of living neurons on electronics to create hybrid wetware processors, with discussion of microfluidic axon-guiding channels and optogenetic I/O as possible engineering approaches.  
- Cortical Labs’ “DishBrain” Pong experiment was cited as a proof-of-concept for in-vitro neurons learning a video-game task in ~5 minutes, prompting questions about why progress has stalled at simple Atari games and whether more ambitious demonstrations (e.g., language) are feasible.  
- Concerns were raised about the longevity and scalability of cultured neural tissue, noting that whole-brain perfusion has not exceeded a few hours and that prior 90s-era “neurons flying a flight simulator” results were limited to trivial control problems.  
- The group speculated on species-specific advantages for cultured neurons—e.g., planarian or parrot neurons—yet concluded that training responsiveness is unlikely to differ meaningfully because the in-vitro learning paradigm is too far removed from natural circuits.  
- A link to the talk “Seeds of a Good Anthropocene” by Elena Bennett was shared as recommended viewing on long-term socio-ecological planning.  
- Minicircle’s ongoing gene-therapy pipeline (minicircle.clinic) was noted as an active biohacker-friendly platform for plasmid-based interventions.