# Key Points from #hplusroadmap IRC Discussion (March 11, 2016)

• Maaku proposed developing a "Watson-like clone" that would function as an "artificial scientist" capable of analyzing scientific papers from large datasets like LibGen, extracting knowledge from citation graphs, and potentially generating future research papers.

• Pasky shared his work on YodaQA (live.ailao.eu), a question-answering system using deep learning, highlighting challenges in parsing and analyzing text data without extensive human annotation.

• Participants debated whether parsing scientific papers should be approached as a computer vision problem (rendering papers as images) versus extracting structured data, with kanzure noting PDF's limitations as a format requiring significant manual intervention.

• The group discussed potential commercial applications of AI systems, including an artificial patent examiner that could identify prior art and invalidate patents, though pasky characterized this as potentially "soul-eating" work despite business opportunities.

• Users shared resources including agentfoundations.org (described as a "singinst forum") and shitmyreviewerssay.tumblr.com, a humorous collection of academic reviewer comments.

• The game Factorio was mentioned as "The Last Starfighter for hplus projects," suggesting its relevance to transhumanist engineering or problem-solving approaches.