Lifeboat Foundation

Dear Ray;

I’ve written a book about the future of software. While writing it, I came to the conclusion that your dates are way off. I talk mostly about free software and Linux, but it has implications for things like how we can have driverless cars and other amazing things faster. I believe that we could have had all the benefits of the singularity years ago if we had done things like started Wikipedia in 1991 instead of 2001. There is no technology in 2001 that we didn’t have in 1991, it was simply a matter of starting an effort that allowed people to work together.

Proprietary software and a lack of cooperation among our software scientists has been terrible for the computer industry and the world, and its greater use has implications for every aspect of science. Free software is better for the free market than proprietary software, and there are many opportunities for programmers to make money using and writing free software. I often use the analogy that law libraries are filled with millions of freely available documents, and no one claims this has decreased the motivation to become a lawyer. In fact, lawyers would say that it would be impossible to do their job without all of these resources.

My book is a full description of the issues but I’ve also written some posts on this blog, and this is probably the one most relevant for you to read: https://lifeboat.com/blog/2010/06/h-conference-and-faster-singularity

Continue reading “Open Letter to Ray Kurzweil” »

If the WW II generation was The Greatest Generation, the Baby Boomers were The Worst. My former boss Bill Gates is a Baby Boomer. And while he has the potential to do a lot for the world by giving away his money to other people (for them to do something they wouldn’t otherwise do), after studying Wikipedia and Linux, I see that the proprietary development model Gates’s generation adopted has stifled the progress of technology they should have provided to us. The reason we don’t have robot-driven cars and other futuristic stuff is that proprietary software became the dominant model.

I start the AI chapter of my book with the following question: Imagine 1,000 people, broken up into groups of five, working on two hundred separate encyclopedias, versus that same number of people working on one encyclopedia? Which one will be the best? This sounds like a silly analogy when described in the context of an encyclopedia, but it is exactly what is going on in artificial intelligence (AI) research today.

Today, the research community has not adopted free software and shared codebases sufficiently. For example, I believe there are more than enough PhDs today working on computer vision, but there are 200+ different codebases plus countless proprietary ones.

Simply put, there is no computer vision codebase with critical mass.

Continue reading “The problems in our world aren't technical, but social” »

Within the next few years, robots will move from the battlefield and the factory into our streets, offices, and homes. What impact will this transformative technology have on personal privacy? I begin to answer this question in a chapter on robots and privacy in the forthcoming book, Robot Ethics: The Ethical and Social Implications of Robotics (Cambridge: MIT Press).

I argue that robots will implicate privacy in at least three ways. First, they will vastly increase our capacity for surveillance. Robots can go places humans cannot go, see things humans cannot see. Recent developments include everything from remote-controlled insects to robots that can soften their bodies to squeeze through small enclosures.

Second, robots may introduce new points of access to historically private spaces such as the home. At least one study has shown that several of today’s commercially available robots can be remotely hacked, granting the attacker access to video and audio of the home. With sufficient process, governments will also be able to access robots connected to the Internet.

There are clearly ways to mitigate these implications. Strict policies could reign in police use of robots for surveillance, for instance; consumer protection laws could require adequate security. But there is a third way robots implicate privacy, related to their social meaning, that is not as readily addressed.

Continue reading “Robots And Privacy” »

Continue reading “Singularity Summit 2010 in San Francisco to Explore Intelligence Augmentation” »

In the lunch time I am existing virtually in the hall of the summit as a face on the Skype account — i didn’t get a visa and stay in Moscow. But ironically my situation is resembling what I an speaking about: about the risk of remote AI which is created by aliens million light years from Earth and sent via radio signals. The main difference is that they communicate one way, and I have duplex mode.

This is my video presentation on YouTube:
Risks of SETI, for Humanity+ 2010 summit

We can only see a short distance ahead, but we can see plenty there that needs to be done.
—Alan Turing

As a programmer, I look at events like the H+ Conference this weekend in a particular way. I see all of their problems as software: not just the code for AI and friendly AI, but also that for DNA manipulation. It seems that the biggest challenge for the futurist movement is to focus less on writing English and more on getting the programmers working together productively.

I start the AI chapter of my book with the following question: Imagine 1,000 people, broken up into groups of five, working on two hundred separate encyclopedias, versus that same number of people working on one encyclopedia? Which one will be the best? This sounds like a silly analogy when described in the context of an encyclopedia, but it is exactly what is going on in artificial intelligence (AI) research today.

Today, the research community has not adopted free software and shared codebases sufficiently. For example, I believe there are more than enough PhDs today working on computer vision, but there are 200+ different codebases plus countless proprietary ones. Simply put, there is no computer vision codebase with critical mass.

Continue reading “H+ Conference and the Singularity Faster” »

Friendly AI: What is it, and how can we foster it?
By Frank W. Sudia [1]

Originally written July 20, 2008
Edited and web published June 6, 2009
Copyright © 2008-09, All Rights Reserved.

Keywords: artificial intelligence, artificial intellect, friendly AI, human-robot ethics, science policy.

1. Introduction

Continue reading “Friendly AI: What is it, and how can we foster it?” »

I am a former Microsoft programmer who wrote a book (for a general audience) about the future of software called After the Software Wars. Eric Klien has invited me to post on this blog. Here are several more sections on AI topics. I hope you find these pages food for thought and I appreciate any feedback.

The future is open source everything.

—Linus Torvalds

That knowledge has become the resource, rather than a resource, is what makes our society post-capitalist.

Continue reading “AI and Driverless cars” »

I am a former Microsoft programmer who wrote a book (for a general audience) about the future of software called After the Software Wars. Eric Klien has invited me to post on this blog. Here is my section entitled “Software and the Singularity”. I hope you find this food for thought and I appreciate any feedback.

Futurists talk about the “Singularity”, the time when computational capacity will surpass the capacity of human intelligence. Ray Kurzweil predicts it will happen in 2045. Therefore, according to its proponents, the world will be amazing then.³ The flaw with such a date estimate, other than the fact that they are always prone to extreme error, is that continuous learning is not yet a part of the foundation. Any AI code lives in the fringes of the software stack and is either proprietary or written by small teams of programmers.

I believe the benefits inherent in the singularity will happen as soon as our software becomes “smart” and we don’t need to wait for any further Moore’s law progress for that to happen. Computers today can do billions of operations per second, like add 123,456,789 and 987,654,321. If you could do that calculation in your head in one second, it would take you 30 years to do the billion that your computer can do in that second.

Even if you don’t think computers have the necessary hardware horsepower today, understand that in many scenarios, the size of the input is the primary driving factor to the processing power required to do the analysis. In image recognition for example, the amount of work required to interpret an image is mostly a function of the size of the image. Each step in the image recognition pipeline, and the processes that take place in our brain, dramatically reduce the amount of data from the previous step. At the beginning of the analysis might be a one million pixel image, requiring 3 million bytes of memory. At the end of the analysis is the data that you are looking at your house, a concept that requires only 10s of bytes to represent. The first step, working on the raw image, requires the most processing power, so therefore it is the image resolution (and frame rate) that set the requirements, values that are trivial to change. No one has shown robust vision recognition software running at any speed, on any sized image!

Continue reading “Software and the Singularity” »