Why You Should Stop Worrying and Learn to Love AI

Anyone who has an interest in technology news should be able to see that artificial general intelligence (AGI) is inevitable. The forces that are driving technology toward that conclusion are enormously powerful; I am referring now to military and commercial interests. Just as the fundamental equations behind biological evolution through natural selection have resulted in human consciousness and intelligence, so the insatiable appetites of industry and combat for a better mousetrap must lead us down the garden path to conscious machines.

One has only to skim the science and technology news on a regular basis to conclude that, barring the near term ending of the world as we know it, a machine that harbors within its circuitry a mind, cannot be very far down the road. Take these excerpts for example:

Researchers at the University of Arizona in Tucson have now begun work on a set of computer algorithms that may be able to make sense of mountains of intelligence data that would overwhelm human analysts. Known as the Asymmetric Threat Response and Analysis Project, or ATRAP, the effort is aimed at dispassionately sifting through everything from fingerprints to cultural influences to establish useful links and connections. Full article.

By studying the famous honeybee waggle dance that communicates the location of top-notch nectar, researchers have designed a more efficient server system that also benefits Web surfers by cutting down on frustrating delays in accessing newly popular sites. Initial tests by collaborators at the Georgia Institute of Technology and the United Kingdom’s University of Oxford showed that the bee-like way of homing in on sweet spots improved a Web-hosting company’s revenue by up to 20 percent. Full article.

There is nothing in these articles that will cause anyone to enjoy a spike in their endorphin levels, but they simply demonstrate the relentless drive of the military and commercial forces of our society to make machines smarter and to get them to do more of our rudimentary thinking for us. No use crying about it, about how terrible this might be, because it will continue, and it will lead inexorably to conscious machines. So my advice is, stop worrying about whether or not we will soon be faced with AGI, and instead focus your energy on making sure when they arrive, they will like us.

There are researchers and organizations that understand the inevitability of AGI and that are working hard to figure out how to make it friendly. Either that or how to make humans and AGIs one and the same thing. Unfortunately, these guys are working with very limited resources, because most people have no clue about what is going on or where we are headed. If you would like to climb out from among the head-in-the-sand crowd, check out the following links:

KurzweilAI.net

Accelerating Future

Singularity Institute

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Computer Simulation of Human Brain Only a Decade Away

We have all heard an aphorism that enjoys an unearned degree of credibility based on no evidence whatsoever, to whit: The human brain can never be intelligent enough to understand itself. Poppycock. Scoffers will continue to believe in it, however, until a fully-developed computer simulation of the human brain smacks them on the noggin, jarring their not-smart-enough brains into the 21st century.

An ambitious project to create an accurate computer model of the brain has reached an impressive milestone. Scientists in Switzerland working with IBM researchers have shown that their computer simulation of the neocortical column, arguably the most complex part of a mammal's brain, appears to behave like its biological counterpart. By demonstrating that their simulation is realistic, the researchers say, these results suggest that an entire mammal brain could be completely modeled within three years, and a human brain within the next decade.

The rapidity with which developments are advancing continues to astound even me, one of the most optimistic singularitarian transhumanists around.



Technology Review Article

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Busting Through Moore's Law - Nanophotonics is Here!

This is a sharp stick in the eye for all the technological sticks-in-the-mud who prophesy an end to Moore's law.

FRANKFURT - IBM says it has made a breakthrough in converting electrical signals into light pulses that brings closer the day when supercomputing, which now requires huge machines, will be done on a single chip.

Picture it...today's supercomputer will be tomorrow's single chip. A computer that now requires enough power to run hundreds of homes will soon draw only enough to light up a single bulb.

Using light instead of wires to send information between the cores by using a silicon Mach-Zehnder electro-optic modulator can be as much as 100 times faster and use 10 times less power than wires, IBM says.

The new modulator IBM has developed is 100 to 1,000 times smaller than previously demonstrated comparable modulators, IBM said on Thursday, paving the way for significant reductions in cost, energy and heat while increasing bandwidth.

Things just keep getting more and more exciting, yes?

Original article.

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It is Time for a Real PDA

Picture this: Your meeting with the team is over, you say your goodbyes and walk down the hall to your office. Sitting in a tray near your desk are the pages of a transcript of the meeting, which ended only a few minutes ago. You call up the project that was the subject of the meeting on your screen, and you see that every assignment is already listed, every appointment is already scheduled. You thank your PDA, and she replies, "Any time, Barry."

This scenario, which has been portrayed in many a science fiction novel, may become the real deal not too many years from now. An artificial general intelligence who lives in your corporate network, organizes your work life without being asked, and converses with you in natural human language. If truth be told, you've often fantasized about asking her out for a drink.

Enter CALO, "a massive, four-year-old artificial-intelligence project to help computers understand the intentions of their human users."

Funded by the Defense Advanced Research Projects Agency (DARPA), and coordinated by SRI International, based in Menlo Park, CA, the project brings together researchers from 25 universities and corporations, in many areas of artificial intelligence, including machine learning, natural-language processing, and Semantic Web technologies. Each group works on pieces of CALO, which stands for "cognitive assistant that learns and organizes."

Adam Cheyer, program director of the artificial-intelligence center at SRI, explains that CALO tries to assist users in three ways: by helping them manage information about key people and projects, by understanding and organizing information from meetings, and by learning and automating routine tasks. For example, CALO can learn about the people and projects that are important to a user's work life by paying attention to e-mail patterns. It can then categorize and prioritize information for the user, based on the source of the information and the projects to which it is connected. The system can also apply this type of understanding to meetings, using its speech-recognition system to make a transcription of what's said there, and its understanding of the user's projects and contacts to process the transcription intelligently into to-do lists and appointments. Finally, a user can teach CALO routine tasks such as purchasing books online and searching for bed-and-breakfasts that meet specific criteria. CALO can interact with other people, taking on tasks such as scheduling meetings, coordinating among people's schedules, and making decisions, such as deciding to reschedule a meeting if a key member becomes unable to attend.

Look for the progeny of CALO to appear first in large corporations, filter down to medium-sized businesses, and eventually arrive in your own home network. I can't wait.

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