1. Historical Map of (the) Cognitive Science(s) by Anna Riedl. A macroscopic, historical, trans-disciplinary introduction to cognitive science( (read left to right). 
  2. Ant Financial AI-Powered Service A Boon for China Asset Managers by Jenny W. Hsu for Alizila. Ant Financial claim their AI-services have increased the operational efficiency of some asset management companies by 70%, widening their customer base while halving their costs.
  3. Jean Baudrillard by the Stanford Encyclopedia of Philosophy. Introductory reading on Baudrillard, signal value, and hyperreality. 
  4. Tweet-storm summary of Mary Meeker’s #InternetTrends2019 by Robbie Bouschery.
  5. WeChat Is Watching by Barclay Bram for Nautilus.
  6. Cosa diavolo è la Scienza dei dati (aka Data Science)? by Cassie Kozyrkov. #3 of the Top Ten Ways to Freshen Up on your Italian (List figment of imagination courtesy of me).
  7. Introduction to Loss Functions on Algorithmia. Loss functions show how algorithms fit the data; the larger the loss, the worse the estimate. Good intro piece. 
  8. Bayesian Methods for Hackers: Would You Rather Lose an Arm or a Leg? by Cameron Davidson-Pilon on Informit. Further reading on loss functions. 
  9. Why It Pays to Play Around by Andreas Wagner for Nautilus. How play, dreaming, and mind-wandering help in problem solving and evolutionary fitness.
  10. The Kekulé Problem by Cormac McCarthy for Nautilus. Further reading on problem solving via dreams, the unconscious, and language.