# Key Points from #hplusroadmap IRC Discussion

• Researchers discussed neural network modeling tools including PyNN, Emergent, and Leabra, with a notable observation that Blue Brain Project emulations are extremely computationally intensive, requiring "dozens of hours" of distributed computing to simulate just "10 microseconds" of neural activity.

• The conversation included sharing of research papers on brain connectome prediction, including algorithmic approaches to predicting neural microcircuit connectivity and methods for generating statistical connectomes from limited morphological data.

• Participants explored how self-replicating machinery could fundamentally transform economics by ending the capital accumulation paradigm that has dominated wealth building for millions of years, with specific debate about the feasibility of lunar manufacturing.

• Technical discussion of TdT-mediated oligonucleotide synthesis included updates on using "UV labile protective group nucleotides" as a potential approach to reducing error rates in enzymatic DNA synthesis.

• The group debated AI safety perspectives, with some arguing that preventing the construction of "autonomous super-robots" is more important than ensuring AI "friendliness," while others countered that even an AI without physical capabilities could pose risks through human manipulation.

• South Korea's announcement of an $860 million AI investment fund was noted as a direct response to AlphaGo's victory against their national Go champion.

• Google's decision to sell Boston Dynamics sparked discussion about corporate discomfort with being associated with humanoid robotics that might be perceived as threatening or job-displacing.