Sublime
An inspiration engine for ideas
It is unusual for CAS agents to converge, even momentarily, to a single ‘optimal’ strategy, or to an equilibrium. As the agents adapt to each other, new agents with new strategies usually emerge.
John H. Holland • Complexity: A Very Short Introduction (Very Short Introductions)
“recursive improvement.”
Martin Ford • Rise of the Robots: Technology and the Threat of a Jobless Future
Does the system show signs of being able to self-improve capabilities? Can it specify its own goals? Can it acquire more resources without
Mustafa Suleyman • The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma
Quantity Goal Quality Goal Result Three new features Fewer than five bugs per feature in quality assurance testing Developers will write cleaner code.
John Doerr • Measure What Matters: How Google, Bono, and the Gates Foundation Rock the World with OKRs
Constraint-Free Thinking
Ralph L. KEENEY • Value-Focused Thinking: A Path to Creative Decisionmaking
introduce an additional term to your calculations that penalizes more complex solutions.
Brian Christian, Tom Griffiths • Algorithms to Live By: The Computer Science of Human Decisions
what University of Chicago economist David Galenson has dubbed “experimental innovators.”
Peter Sims • Little Bets: How breakthrough ideas emerge from small discoveries
Evolution-based methods, such as genetic algorithms and genetic programming, constitute another approach whose emergence helped end the second AI winter.