Further reflection revealed that it’s quite impractical—nearly impossible—to make a cheeseburger from scratch. Tomatoes are in season in the late summer. Lettuce is in season in spring and fall. Large mammals are slaughtered in early winter. The process of making such a burger would take nearly a year, and would inherently involve omitting some core cheeseburger ingredients. It would be wildly expensive—requiring a trio of cows—and demand many acres of land. There’s just no sense in it.
A cheeseburger cannot exist outside of a highly developed, post-agrarian society. It requires a complex interaction between a handful of vendors—in all likelihood, a couple of dozen—and the ability to ship ingredients vast distances while keeping them fresh. The cheeseburger couldn’t have existed until nearly a century ago as, indeed, it did not.
Some statistics I have gathered for a presentation I am working on.
- 53% of Facebook users play games
- 19% say they are addicted
- 69% of Facebook gamers are women
- 20% have paid money for in-game benefits
- 56 million people play daily (more than the population of England)
- 290 million people play monthly (almost as many as entire US population)
- The average time spent per month on Facebook is 421 minutes (7 hrs 1 min)
- 50% of Facebook logins are specifically for gaming
- Roughly 927 million hours per month are spent gaming on Facebook, which equals 105,878 man-years’ of gaming a month!
- Facebook usage was up 40% in 2010
- 3.5 billion pieces of content are shared each week on Facebook
- 65 million Facebook users access via mobile devices, up 100% from last year
- 96% of 18-35 year olds are on a social network 1 in 5 of those are on Twitter
- 78% of of consumers trust peer recommendations with 14% trusting advertisements
- 34% of bloggers post opinions on products and brands
- There are 70 translations of Facebook currently
- Twitter adds 300k users a day
- 25% of search results are links to user generated content
- Over 1 billion YouTube videos are served a day
For better or worse in the world of Singularity there is no room for much privacy. Being that everything will be interconnected and shared. Which brings us full circle to when the Internet was in its infancy and there was no such thing as passwords or security. There comes a tipping point where in the beginning we were protecting the network from the users and now we will be needing to protect the users from the network. This is a growing concern which will become a moot point once the Singularity is truly upon us. Now I do not mean to speak of it as if it were some biblical revelation, but in some ways it will be since it is a divergence of all that we know. A ‘paradigm shift’ as many like to throw around.
Let’s look at the simple example of me wondering 10 years ago who invented the vacuum cleaner. I would of been left wondering that answer until I got in front of a computer and happened to recall what I wanted to know in the first place. Where as today I grab my phone out of my pocket and search Google and read the article on Wikipedia (or elsewhere) and I get almost immediate gratification. Now imagine 10 years from now in 2020. I will not even have to type it to know it. Thinking back to when I was a kid I would of had to go to library and consult the Encyclopedia Britannica if I had wanted to know the scoop on who invented the vacuum.
I have always been a big advocate of privacy (and still am). But once a paradigm shift such as the singularity occurs most need for privacy will either stop being a concern or be needed even more in some areas. The idea of my mind being connected to the Internet (if we will still call it that) can be quite a scary thought (no pun intended). The more one tries to answer the needs the more questions it breeds. Once computers are as smart or smarter than humans will they develop the ability to lie? Computers and other devices can currently detect humans telling lies through voice stress analysis and other means. So what do we do when we can’t lie to computers but they can lie to us? Perplexing.
Many changes are happening as I type this. More scientists and researchers are working on projects now than all scientists in the past combined. Devices are coming into mainstream markets with technologies we could only dream about a few years ago. The amount of data being created is doubling every year and shows no signs of slowing. Privacy may soon be the least of our worries.
As we understand it from the discussion on stage, a Think Cloud is a “body of knowledge” that is a real-time information base of Amazon cloud that can be pivoted all the way down to the threads and individual data concurrency. It would be an index that acts like a control point that helps define movement of data through a servers and compute tasks. Looking at the journey from the data point of view, including data about the environment itself and how to repair itself when damaged and keep data concurrency in tact.