### As of Oct 2021 - Python (intermediate) - Statistics intermediate) - Machine Learning (intermediate) - Bayesian modeling (intermediate) - Deep learning (basics) - Neuroscience (basics) - Consciousness (intermediate) - Evolution (intermediate) - Free-energy principle (basics) - Algorithmic information theory (basics) ### What intersections of these skills are not heavily competed with yet? - **Artificial Consciousness** - Intersection of consciousness and AI/ML - Possible exploratory directions: - [[Foundational work on artificial consciousness]] #### Why should I only explore Artificial Consciousness for now? - This is something that's at the intersection of two fields (consciousness and AI) - As mentioned in [[General strategy for research]] this is a good idea - It requires skills that I'm comfortable with - As mentioned in [[General strategy for research]] this is a good idea - Doesn't seem too competitive yet - Will enable good foundational results - Requires less learning the basics as those basics don't yet exist - I can focus my learning time to learn - Since I have no recent research experience, will help take baby steps in a territory I'm _both_ comfortable with and excited by - Having one field to focus creative abilities on will reduce optionality and enable me to go deep - While I'll always be able to go wide in areas I'm learning in, it's good to go deep into an area I'm producing creative output in