# Key Points from #hplusroadmap IRC Discussions

• Klafka proposed developing a decentralized anonymized machine learning framework, envisioning a peer-to-peer computing network where devices could opt into specific models while maintaining privacy.

• Participants discussed technical challenges of distributed computing, with Superkuh noting that Freenet's high latency (2-10 minutes for small messages) made it impractical, recommending Retroshare as a more viable alternative.

• The group explored potential applications for the distributed machine learning system, including quantified self measurements that could classify health states (e.g., "potentially sick/not sick").

• Jrayhawk referenced Parallel Virtual Machine (PVM) technology in the discussion, which klafka compared to "virtual SMP" systems they had previously encountered.

• Community members used a "paperbot" system to retrieve scientific papers related to brain-computer interfaces from journals like Neural Engineering, demonstrating how the community accesses research materials through services like LibGen.

• Superkuh recommended "Recoll," a Python application for full text indexing and search, as a superior alternative to Gnome's "Tracker," which he described as very buggy.

• The logs revealed a geographical cluster of transhumanist/futurist community members in the San Francisco Bay Area, suggesting a regional hub for in-person collaboration.