# Key Ideas from #hplusroadmap IRC Discussions

• Participants explored the concept of "maximum complexity awareness," discussing how humans struggle to fully comprehend complex systems like biochemical pathways despite extensive databases like KEGG, highlighting fundamental limitations in human cognition when dealing with highly complex information.

• The group identified significant gaps in human abilities taxonomies (like Fleishman's), noting they often omit critical cognitive traits such as perseverance, willpower, focus, and curiosity that are essential for innovation and learning.

• A substantive critique of educational systems emerged, with some arguing that extended periods of pure academic learning conflict with evolved human nature, while others suggested that learning fatigue might be culturally conditioned rather than biologically determined.

• DIY biology and biotechnology democratization were recurring themes, with discussions about Canada's first biotech community lab launch, declining DNA synthesis costs, and the potential for building affordable lab equipment to lower barriers to entry.

• Kenneth O. Stanley's "Searching Without Objectives" presentation sparked discussion about how innovation might progress more effectively through discovery-oriented approaches rather than strict goal-following, suggesting a paradigm shift in how technological advancement should be pursued.

• Several practical augmented cognition technologies were proposed, including wearable AR displays, specialized mobile applications for emergency situations, and AI systems for legal research that could analyze centuries of case law to assist lawyers.

• Participants noted IBM Watson's integration with Citigroup's risk analytics division (with IBM reportedly receiving 5-10% of profits), exemplifying how advanced AI systems are being deployed in high-stakes financial environments.