Humans With Amplified Intelligence Could Be More Powerful Than AI

With much of our attention focused the rise of advanced artificial intelligence, few consider the potential for radically amplified human intelligence (IA). It’s an open question as to which will come first, but a technologically boosted brain could be just as powerful — and just as dangerous – as AI. How Much Longer Before Our First AI Catastrophe? How Much Longer Before Our First AI Catastrophe? How Much Longer Before Our First AI Catastrophe? What will happen in the days after the birth of the first true artificial intelligence? If things…

Source: Humans With Amplified Intelligence Could Be More Powerful Than AI

 

Pluto ‘Wows’ in Spectacular New Backlit Panorama | NASA

The latest images from NASA’s New Horizons spacecraft have scientists stunned – not only for their breathtaking views of Pluto’s majestic icy mountains, streams of frozen nitrogen and haunting low-lying hazes, but also for their strangely familiar, arctic look.

And don’t forget that Pluto is 7.5 billion kilometers away!
Source: Pluto ‘Wows’ in Spectacular New Backlit Panorama | NASA

 

How to install Jupyter with R Kernel in Ubuntu 14.04

sudo apt-get install libzmq3-dev libssh2-1-dev python3-pip build-essential python3-dev

Add this line to /etc/apt/sources.list

deb http://cran.rstudio.com/bin/linux/ubuntu trusty/
sudo apt-key adv --keyserver keyserver.ubuntu.com --recv-keys E084DAB9
sudo apt-get update
sudo apt-get upgrade
sudo pip3 install -I path.py==7.7.1 
sudo pip3 install jupyter zmq

Installing R kernel for Jupyter

install.packages("devtools") 
library("devtools") 
install_github("rgbkrk/rzmq")
install.packages(c('rzmq','repr','IRkernel','IRdisplay'), repos = c('http://irkernel.github.io/', getOption('repos')), type = 'source') 
IRkernel::installspec()

Errors received during install (all were solved):
static_assert(ZMQ_VERSION_MAJOR >= 3,”The minimum required version of libzmq is
^
make: *** [interface.o] Error 1

ERROR: dependency ‘xml2’ is not available for package ‘rversions’
* removing ‘/home/raony/R/x86_64-pc-linux-gnu-library/3.0/rversions’
ERROR: dependency ‘rversions’ is not available for package ‘devtools’
* removing ‘/home/raony/R/x86_64-pc-linux-gnu-library/3.0/devtools’

 

 

Can paleogenetics tell us about prehistory? – Jacob Mikanowski – Aeon


Most of human history is prehistory. Of the 200,000 or more years that humans have spent on Earth, only a tiny fraction have been recorded in writing. Even in our own little sliver of geologic time, the 12,000 years of the Holocene, whose warm weather and relatively stable climate incubated the birth of agriculture, cities, states, and most of the other hallmarks of civilisation, writing has been more the exception than the rule.

Source: Can paleogenetics tell us about prehistory? – Jacob Mikanowski – Aeon

 

Kelly Clancy on the Logic Behind the Myth That We Only Use 10 Percent of Our Brains

You’ve probably heard the myth that the average person uses only 10 percent of their brain. It’s a seductive lie because it suggests that we could be more than we are. Sci-fi movies like Limitless and Lucy, whose protagonists gain super-human abilities by accessing latent mental capacities, have exploited the myth. Neuroscientists, on the other hand, have long loathed it. Eighty years of studies confirm that every part of the brain is active throughout the course of a day. Save those who have suffered serious brain injury, we use all of our brains, all of the time.

But, like many legends, the 10 percent myth also carries a grain of truth. In the last 20 years, scientists have discovered that our cortex follows a strangely familiar pattern: A small minority of neurons output the vast majority of activity. It’s not that we don’t use 90 percent of our brain, but that many neurons remain eerily quiet even during use. The story behind this silence is more profound than the boosted IQs and temporary clairvoyance from the movies. It speaks to the basic principles of how our minds represent reality in the first place.

Source: Kelly Clancy on the Logic Behind the Myth That We Only Use 10 Percent of Our Brains

 

Perl Regular Expression Matching is NP-Hard

Matching ordinary regular expresions can be done in polynomial time, proportional to MN, where M is the length of the regular expression and N is the length of the string to be matched. The usual method for this is: Parse the regular expression and construct an equivalent finite automaton (FA), which will have O(M) states; then simulate the action of the FA on the input, which takes O(MN) time. My Regex.pm module demonstrates this.

Source: Perl Regular Expression Matching is NP-Hard