- A manual annotation pipeline is being prototyped for the entire #hplusroadmap IRC corpus (http://gnusha.org/logs) that assigns fine-grained topic tags (e.g., “neuroscience-0.01”) and signal-to-noise scores so future queries can instantly surface high-quality, topic-specific excerpts.  
- UI concepts under discussion include mouse-highlight tagging, comma-separated keyword entry, and color-coded “heat bars” that let re-skimmers spot dense content without re-reading; one playful variant frames the task as a “Guitar Hero” rhythm game where scroll speed tracks information density and key-taps drop tags in real time.  
- The long-term goal is a searchable semantic map: a user should be able to ask, for example, “yashgaroth comments on DNA-synthesis enzyme plans” and receive the most relevant, pre-filtered snippets.  
- Participants debated heuristics for deciding what counts as a “notable concept” worth tagging and whether to build ancillary structures such as conceptual graphs during annotation.  
- To bootstrap automated log mining, fenn proposed combining human-curated tags with a tag-scoring system that can later train a machine-learning classifier to surface “super interesting things on a variety of topics.”  
- Anders Sandberg’s recent talk “Grand Futures & Global Catastrophic Risk” (https://www.youtube.com/watch?v=F-BUNT-gntY) was shared as high-value transhumanist content.  
- Cyberdyne’s 2015 Q3 financial summary (http://www.cyberdyne.jp/company/download/20151113_financialresultssummary1.pdf) was posted as a data point on commercial exoskeleton economics.  
- A query for large, publicly available, machine-readable chemical-reaction databases revealed that all major repositories are proprietary; only very small open organic-reaction datasets currently exist.