Category: Talks

Network Effects, Origin Stories, and the Evolution of Tech

“The rules of the game are different in tech,” argues — and has long argued, despite his views not being accepted at first — W. Brian Arthur, technologist-turned-economist who first truly described the phenomenon of “positive feedbacks” in the economy or “increasing returns” (vs. diminishing returns) in the new world of business… a.k.a. network effects. A longtime observer of Silicon Valley and the tech industry, he’s seen how a few early entrepreneurs first got it, fewer investors embrace it, entire companies be built around it, and still yet others miss it… even today.

Source: a16z.com

How Networks Learn An Interview with Cesar Hidalgo

In this episode, Haley talks with physicist, complexity scientist, and MIT professor, Cesar Hidalgo. Hidalgo discusses his interest in the physics of networks and complex system science and shares why he believes these fields are so important. He talks about his book, Why Information Grows: The Evolution of Order, from Atoms to Economies, which takes a scientific look at global economic complexity. Hidalgo also shares how economic development is linked to making networks more knowledgeable.

Source: www.human-current.com

The Integration Of Human & Artificial Intelligence

In this episode, Angie interviews Assistant Professor at the New England Complex Systems Institute (NECSI) and Visiting Scientist and the MIT Media Lab, Alfredo Morales. Professor Morales works in the areas of complex systems, AI, data science, and human behavior to develop both methods and insights that help solve complex societal problems. During his interview, he shares details from the AI and Beyond Program at NECSI, a five day certificate program where he presented alongside, Stephen Wolfram, Iyad Rahwan, and Yaneer Bar-Yam. He also discusses some unintended consequences that could arise from artificial intelligence and how complexity science can help us integrate AI systems more effectively.

Source: www.human-current.com