- Extropic.ai’s proposal for “thermodynamic compute” was dissected: the core idea is to use stochastic superconducting quantum thermal fluctuations as an analog sampler for non-linear Hamiltonian dynamics, essentially hardware-accelerating Energy-Based Models (EBMs) that are mathematically equivalent to exponential-family distributions.  
- Participants questioned whether this is merely a physical implementation of tree-structured simulated annealing and doubted its practicality without clear mechanisms for error back-propagation and inter-chip networking.  
- Landauer’s limit was debated: analog/thermodynamic systems can tolerate higher error rates and thus lower energy barriers per bit flip, but digital logic must pay for much lower error rates; stochastic bit operations might reduce erasure cost if the learned functions lack avalanche behavior.  
- A key concern raised is model reproducibility—digital neural networks can be trained once and copied perfectly, whereas analog hardware variance may require per-device fine-tuning and could prevent cheap replication.  
- A Google-doc link described a candidate molecular monolayer of rigid adamantane tripods with thiol legs, intended for nanoscale surface patterning.  
- Magnesium L-threonate was reported anecdotally to intensify dream vividness and narrative depth, attributed to enhanced brain uptake of magnesium via the threonate carrier.  
- The Global Cryonics Summit 2024 website was shared as an upcoming event of interest.