Intelligence is multifaceted
Intelligence is multifaceted
Source: DeepLearning book website, 2016
Lectures and Slides Available
Source: Zero Hedge, Apr 2017
Source: Less Wrong, Jul 2012
1. Algorithms — We’re looking for an algorithm to determine truth.
2. Induction — By “determine truth”, we mean induction.
3. Occam’s Razor — How we judge between many inductive hypotheses.
4. Probability — Probability is what we usually use in induction.
5. The Problem of Priors — Probabilities change with evidence, but where do they start?
6. Binary Sequences — Everything can be encoded as binary.
7. All Algorithms — Hypotheses are algorithms. Turing machines describe these.
8. Solomonoff’s Lightsaber — Putting it all together.
9. Formalized Science — From intuition to precision.
10. Approximations — Ongoing work towards practicality.
11. Unresolved Details — Problems, philosophical and mathematical.
Source: Business Insider, Dec 2016
if you want to convince someone that your explanation for something is the best way to explain it, you might want to tack on some useless (though accurate) information from a tangentially related scientific field.
It turns out that when you tack on additional information from a respected field of study, people think that makes an explanation more credible.
one of several cognitive biases we have in favor of certain types of explanations. We think longer explanations are better than short ones and we prefer explanations that point to a goal or a reason for things happening, even if these things don’t actually help us understand a phenomenon.
As the authors behind this most recent paper note, previous research has also shown that we prefer explanations of psychology when they contain “logically irrelevant neuroscience information,” something known as the “seductive lure effect.”
Source: IAS, 2017
In his classic essay The Usefulness of Useless Knowledge, Abraham Flexner, the founding Director of the Institute for Advanced Study in Princeton and the man who helped bring Albert Einstein to the United States, describes a great paradox of scientific research. The search for answers to deep questions, motivated solely by curiosity and without concern for applications, often leads not only to the greatest scientific discoveries but also to the most revolutionary technological breakthroughs. In short, no quantum mechanics, no computer chips.
This brief book includes Flexner’s timeless 1939 essay alongside a new companion essay by Robbert Dijkgraaf, the Institute’s current Director, in which he shows that Flexner’s defense of the value of “the unobstructed pursuit of useless knowledge” may be even more relevant today than it was in the early twentieth century. Dijkgraaf describes how basic research has led to major transformations in the past century and explains why it is an essential precondition of innovation and the first step in social and cultural change. He makes the case that society can achieve deeper understanding and practical progress today and tomorrow only by truly valuing and substantially funding the curiosity-driven “pursuit of useless knowledge” in both the sciences and the humanities.
Einstein, Godel and Von Neumann were at IAS
Source: Fast Company, Feb 2017
Before you dash off a hasty email and risk offending or annoying the receiver, check out these common but unpopular lines and opt for an alternative instead.
1. instead of “SORRY TO BE A BURDEN/BOTHER”
say: “Thank you for being patient with me.”
2. Instead of “WHATEVER YOU THINK”
say: “I’m open to your ideas and am happy to do some more brainstorming.”
3. Instead of “PLEASE ADVISE”
say: “Let me know if you have any thoughts on how to proceed with this.”
4. Instead of “I HOPE IT’S MORE TO YOUR LIKING”
say “I’m interested in your feedback on this update.”