• Google’s “capsule” neural-network twist (Wired article) was critiqued for the common claim that children need far less data than AIs; one participant argued that a child’s visual system effectively ingests minutes of high-frame-rate experience, making the data gap smaller than usually asserted.

• Live, high-speed transcription of Scaling Bitcoin 2017 at Stanford was performed in-channel; full session transcripts covering concurrency & privacy in payment-channel networks, BOLT anonymous payment channels, FlyClient super-light clients, Graphene set reconciliation, Bulletproofs, discreet-log contracts, and Chainspace sharded smart-contracts were committed to the diyhpl.us wiki.

• Research links circulated: Bulletproofs paper (Stanford), Graphene set-reconciliation paper (UMass), Chainspace white-paper (arXiv), and a separation-science journal article on membrane techniques.

• Peter Todd noted that induction furnaces can refine beach sand into semiconductor-grade silicon, and mentioned airborne gravity-gradient sensors for mineral exploration.

• A vision for “walk-in high-bandwidth data backup” was proposed: quick electron-microscope scanning of hard drives followed by immediate multi-media duplication or cloud batch upload.

• A plausible conceptual path from interference-based data storage to biologically relevant DNA synthesis was sketched late in the session.