A scoring method for eliciting truthful subjective data in situations where objective truth is unknowable. The method assigns high scores not to the most common answers but to the answers that are more common than collectively predicted.

Shane's thesis. Good intro to Bayesian sequence prediction, Solomonoff's universal prior and Solomonoff induction.

How can people and computers be connected so that—collectively—they act more intelligently than any individuals, groups, or computers have ever done before?

Positively correlated variables are all correlated with a linear combination of each other, and this becomes no more profound when the variables are scores on intelligence tests.

A dual n-back memory game based on the recent research paper that claims fluid intelligence can be improved by training working memory. Written in Haskell.

"We present evidence for transfer from training on a demanding working memory task to measures of Gf. This transfer results even though the trained task is entirely different from the intelligence test itself."

On the philosophy of W. Ross Ashby, a cybernetician who tried to analyze cognition quantitatively in the 50s and had views remarkably similar to more modern (bayesian) "engines of cognition" ideas.

The theory defines sentience as the relationship between the information processing rate (bit/s) of each indivdiual processing unit (neuron), the weight/size of a single unit and the total number of processing units (expressed as mass).

Probably the largest collection of defintions of intelligence.

What would it be like to find meaning and order in everything you saw?

The Singularity is about smartness, not technology, and the second you build something smarter than you, everything we know flies out the window.

The Numenta technology, called Hierarchical Temporal Memory (HTM), is based on a theory of the neocortex described in Jeff Hawkins' book entitled On Intelligence.