How to use multilevel thinking to correct for misperceptions

In order to construct Turing Androids which can walk and talk like humans, what misperceptions about
how our own brains work must be corrected?

a. Non-linear future.  Some items evolve exponentially, some do not.  Sort this out.

b. Humans misjudge the extent to which they have free will.  Work on adding electronics in order to
improve the memory and processiing speed of the human mind.

c. Work on modifying human genes so as to create more intelligent humans with fewer defects in
thinking and intuition.  

d. Find out why (evolutionary psychology) humans have distorted processing and correct these

e. For example, human's judgement of pitch is different than tone due to subjective mechanisms in the
hearing system.  Use either genetic modification or electronics to improve perception of pitch by
humans.  For example, a singer might be fitted with a tone multiplier/divider which permitted a better
judgement of pitch which was closer to actual tone.  Effect of increased volume on pitch can be
compensated by giving the singer an earphone which reflects what the audience is hearing.  In the case
of a program like American Idol, the judgement of the live audience may well be different than the
impression of the television viewers at home.  If the votes are coming from the TV viewers, the
earphones on the contestant should reflect what the TV viewers are hearing.

f. Could we create an internet forum whose structure would improve the results of a discussion.  
Example is discussing free will on doesn't seem to lead to any conclusions.  
hose memory and intelligence would be superior.  Use these superior humans to design Turing robots.
Negative aspect is the time it takes to raise human children.

d. Just sit back and watch the web evolve into an intelligent being.  Words and their definitions are at
wiki, cyc is working on symantics and parsing of sentences.  

e. Eventually Google, Yahoo and Microsoft search engines will improve/evolve into intelligent plexes of
computers.  Just sit back and watch these dudes.

f. Improvements in chip design set us an example of how to design robots.  We need to develop the
tools needed to develop robots rather than attacking the problems directly.  

g. Video games are evolving in the direction of virtual reality.  If we watch the evolution of Wii and Play
Stations, we will see them evolve into intelligence.  Play Station has 8 processors.

h. Neural networks (Artificial Neural Networks).  Continue to develop and evolve these networks until we
finally reach the complexity of the human brain.

i. Write computer programs to simulate ants in the format of artificial life.  Evolve these ants into more
complex animals.  Guide the evolution so that the resultant artificial animals evolve in the direction of
humans.  End up with a simulation of humans.

j. Duplicate the functions of each part of the human brain.  Kurzweil states that 20 of the several
hundred parts have already been simulated (In Depth interview on C-SPAN Books
org/feature/index.asp?segid=7515&schedID=457) He also stated that the total number is "several
hundred areas." (TV show =

k. Create a system that learns, and then it will learn to make models of itself, and discover ways to
improve themselves.  So far, this method has failed, but this is not proof that it will never succeed.

l. Jeff Hawkins is making advances in understanding the human brain.  He will eventually deliver a
product, just like he delivered the Palm Pilot.

m. Marvin Minski’s will put together a team of three system programmers and deliver a prototype in 3 to
5 years.

n. Ben Goertzel will finally succeed in his attempts to create artificial general intelligence.

o. Ray Kurzweil's Ramona will evolve into an intelligent robot.  He says that he will make Romona more
independent and more intelligent.  He expects that Romona will pass the Turing test in 2029 so that he
can win his bet with Mitch Kapor. (cf. BookTV)

p. Toys like Robosapien will evolve each year or two and will display human intelligence in a decade or

q. Robots such as Roomba now have connectors attached to WiFi modules which allows the average 12
year-old kid to play with the software.  Eventually some kid will win his science fair by making a roomba
as intelligent as he is.

r. We first need more computational power.  To obtain intelligent systems, we need to start out with
making faster and larger computer chips.  Three-dimensional chips with optical communications to lower
capacitative crosstalk problems.  

s. Develop reverse computing which lowers the power required to compute.

t. Use reverse computation to speed things up.  Parallel
simulation • discrete event simulation • optimistic simulation • reverse computation • plasma simulation

u. Use parallel computers to simulate each nerve cell.  Blue Gene /L is attempting to simulate neurons
and then simulate the human brain.  Will supercomputers be the first to show intelligence?

v. Google used a large Rosetta stone style of texts to teach its software to translate Arabic to English
and English to Arabic.  Nobody on the Google team spoke any Arabic.  This indicates progress toward
ANN learning how to think.

w. Roger Penrose will show how the human brain uses quantum computing to create its ability to think
intelligently.  Engineers will follow his lead and develop quantum computing devices to simulate the
functioning of the human mind.

x. The heart of human intelligence is pattern recognition.  R2 technologies developed a neural network
which recognizes breast cancer on X-rays as well as human radiologists who specialize in breast cancer
do.  It does better than non-specialist human radiologists.  Is one of the things we must have for artificial
intelligence a group of such pattern recognizers?  Does the human mind also have faster recognition
systems that can be used to perform practical day-to-day functioning?

y. Savants such as Kim Peek have much larger memories than average people but cannot button their
shirts.  Are his neurons redirected to different tasks?  Does this indicate the complexity of functions
which humans take for granted as easy such as buttoning one's shirt?