- OpenNURBS, the open-source NURBS geometry kernel, was successfully wrapped for Python via SWIG after extensive debugging of compiler flags, missing symbols, and Linux path issues; a working build sequence and a Debian-packaged Git mirror (git://git.debian.org/users/eugen/opennurbs.git) were documented for future users.  
- A 3-D viewer built from the OpenNURBS OpenGL example rendered correctly but exhibited visual artifacts (blue flashing line) that were traced to missing double-buffering or back-face culling, highlighting the need for additional graphics plumbing.  
- The SKDB (Structured Knowledge for Design and Build) project was re-introduced; its metadata-plus-CAD package format, the mass scrape of Thingiverse objects, and the unresolved debate over embedding Python algorithm files inside hardware packages were reviewed.  
- A Lego-based demo of SKDB illustrated how axis-aligned bounding-box collision detection and 3-D control points prevent part intersection, but the combinatorial explosion (N^100 search space for 100 parts) makes exhaustive automated assembly infeasible; the near-term focus is on manual building with geometry-based part search.  
- To enable rapid part discovery, participants proposed converting CAD models into Reeb graphs (skeletal shape descriptors) and running graph-similarity algorithms, with Wikipedia’s “Shape analysis” and “Reeb graph” pages provided as starting references.  
- A segmentation-fault in the OpenNURBS Python bindings was traced to SWIG’s failure to pass an ON_Brep pointer into ON_GL(); manual edits to the generated _wrap.cxx and opennurbs.py files were required, and upstream patches to the ON_GL glue code are planned.  
- At the Quantified Self meetup, Randal Koene (carboncopies.org) demonstrated a personal ncurses task-tracker that organizes life activities as a dependency tree and promoted the “Advancing Substrate-Independent Minds” workshop (16–17 Aug 2010) for mind-uploading research.  
- Seth Roberts’ self-experiment claiming butter improves reaction time drew public skepticism from a cardiologist in the QS audience, underscoring ongoing friction between citizen science and mainstream medical consensus.