Sublime
An inspiration engine for ideas
The rate of the development of science is not the rate at which you make observations alone but, much more important, the rate at which you create new things to test.
Philip E. Tetlock, Dan Gardner • Superforecasting: The Art and Science of Prediction
The Man from the Future: The Visionary Life of John von Neumann
Unsurprisingly, the Human Genome Project also exhibited a bubble dynamic, driven as it was by an ambitious vision and characterized by excessive government overinvestment.
Byrne Hobart • Boom: Bubbles and the End of Stagnation
Bayesian model lets you calculate just how likely it is that a particular hypothesis is true, given the data.
John Brockman • Possible Minds: Twenty-Five Ways of Looking at AI
skepticism while digging into the context of the research itself, where it came from, and what other research has been done in the field.
Leslie F. Stebbins • Finding Reliable Information Online: Adventures of an Information Sleuth
evolutionary epistemology-universal Darwinism-universal Bayesianism framework,
Bobby Azarian • The Romance of Reality: How the Universe Organizes Itself to Create Life, Consciousness, and Cosmic Complexity
The genome-sequencing competition demonstrated this: of all the solutions submitted that were both faster and more accurate than the benchmarks, none came from computational biologists.
Andrew McAfee, Erik Brynjolfsson • Machine, Platform, Crowd: Harnessing Our Digital Future
That assumption springs from a belief in evolution as a random process that has produced sub-optimal human brains,
George Gilder • Life After Google
The first would be when species used DNA as the medium for memory.