January

• https://cacm.acm.org/magazines/2012/1/144824-artificial-intelligence-past-and-future/fulltext Interesting writings on AI progression (2012)
• https://edoras.sdsu.edu/~vinge/misc/singularity.html Notes on the singularity (1993)
• https://waitbutwhy.com/2015/01/artificial-intelligence-revolution-1.html Classic writing on the exponential progress that could be seen with AI and its impacts
• https://brainscan.uwo.ca/research/cores/computational_core/uploads/11May2020-Lillicrap_NatNeuroRev_2020.pdf Paper exploring backpropagration and how it relates to learning on wetware
• https://en.wikipedia.org/wiki/Federated_learning Machine learning technique that trains networks in a more distributed fashion
• https://strategicphilosophy.blogspot.com/2009/05/its-about-ten-years-since-i-wrote.html Early influential writings on the transhumanist movement
• http://raytracerchallenge.com/ Book on building raytracers
• https://github.com/google-research/tuning_playbook/ Notes on how to fine-tune neural networks
• http://www.catb.org/~esr/faqs/hacker-howto.html Eric Raymond's How To Become A Hacker, explores hacker culture and how to create progression