# Key Points from #hplusroadmap IRC Discussion (January 9, 2016)

• Members expressed disappointment that OpenAI would not be open source despite its name, contradicting expectations of democratized AI access, with criticism that it appeared to be primarily a machine learning research shop rather than a comprehensive AGI project.

• A significant debate occurred about whether neuroanatomy should inform AI development, with some arguing that replicating human brain structures is unnecessary if the goal is to build machines that solve problems humans struggle with.

• Maaku proposed that AGI's most valuable application would be in domains humans find difficult to intuit, such as complex multi-dimensional problems or biological systems with numerous interconnected processes.

• The conversation explored the concept of a knowledge graph structure with probabilistic weights for AGI, which would encode relationships between concepts and meta-level data that could be linearly serialized into a language format.

• A philosophical divide emerged between approaches: brain emulation advocates (kanzure) defended the value of understanding biological neural systems, while others (maaku) compared this to early aviation engineers trying to replicate birds rather than developing fixed-wing aircraft.

• Maaku articulated specific technological goals for the next 40 years: developing nanofactories, mapping the complete human proteome including all protein-protein interactions, and enabling rapid biological modifications.

• The discussion highlighted an instrumental view of AI development as a pathway to achieve biological understanding and manipulation without requiring trillions of dollars or multiple lifetimes of research.