Wendy McElroy brings an important issue to our attention — the increasing criminalization of filming / recording on-duty police officers.

The techno-progressive angle on this would have to take sousveillance into consideration. If our only response to a surveillance state is to observe “from the bottom” (as, for example, Steve Mann would have it), and if that response is made illegal, it seems that the next set of possible steps forward could include more entrenched recording of all personal interaction.

Already we have a cyborg model for this — “eyeborgs” Rob Spence and Neil Harbisson. So where next?

Resources:

Continue reading “Gizmodo: Are Cameras the New Guns?” »

It’s easy to think of people from the underdeveloped world as quite different from ourselves. After all, there’s little to convince us otherwise. National Geographic Specials, video clips on the Nightly News, photos in every major newspaper – all depicting a culture and lifestyle that’s hard for us to imagine let alone relate to. Yes – they seem very different; or perhaps not. Consider this story related to me by a friend.

Ray was a pioneer in software. He sold his company some time ago for a considerable amount of money. After this – during his quasi-retirement he got involved in coordinating medical relief missions to some of the most impoverished places on the planet, places such as Timbuktu in Africa.

The missions were simple – come to a place like Timbuktu and set up medical clinics, provide basic medicines and health care training and generally try and improve the health prospects of native peoples wherever he went.

Upon arriving in Timbuktu, Ray observed that their system of commerce was incredibly simple. Basically they had two items that were in commerce – goats and charcoal.

Continue reading “Cell Phones in Timbuktu” »

Kepler Space University was a participant in the ISDC-2010 at Chicago, May 27–30, 2010 with a PhD Commencement and nine presentations.

Read KSC Scores at ISDC.

Bob Krone, Ph.D., Provost
www.keplerspaceuniversity.org

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?” »

Originally posted @ Perspective Intelligence

Two events centered on New York City separated by five days demonstrated the end of one phase of terrorism and the pending arrival of the next. The failed car-bombing in Times square and the dizzying stock market crash less than a week later mark the book ends of terrorist eras.

The attempt by Faisal Shahzad to detonate a car bomb in Times Square was notable not just for its failure but also the severely limited systemic impact a car-bomb could have, even when exploding in crowded urban center. Car-bombs or Vehicle-Borne IED’s have a long history (incidentally one of the first was the 1920 ‘cart and horse bomb’ in Wall Street, which killed 38 people). VBIED’s remain deadly as a tactic within an insurgency or warfare setting but with regard to modern urban terrorism the world has moved on. We are now living within a highly virtualized system and the dizzying stock-market crash on the 6th May 2010 shows how vulnerable this system is to digital failure. While the NYSE building probably remains a symbolic target for some terrorists a deadly and capable adversary would ignore this physical manifestation of the financial system and disrupt the data-centers, software and routers that make the global financial system tick. Shahzad’s attempted car-bomb was from another age and posed no overarching risk to western societies. The same cannot be said of the vulnerable and highly unstable financial system.

Computer aided crash (proof of concept for future cyber-attack)

Continue reading “New Terrorism: Five days in Manhattan” »

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 (Software and the Singularity, AI and Driverless cars) Here are the sections on the Space Elevator. I hope you find these pages food for thought and I appreciate any feedback.

A Space Elevator in 7

Midnight, July 20, 1969; a chiaroscuro of harsh contrasts appears on the television screen. One of the shadows moves. It is the leg of astronaut Edwin Aldrin, photographed by Neil Armstrong. Men are walking on the moon. We watch spellbound. The earth watches. Seven hundred million people are riveted to their radios and television screens on that July night in 1969. What can you do with the moon? No one knew. Still, a feeling in the gut told us that this was the greatest moment in the history of life. We were leaving the planet. Our feet had stirred the dust of an alien world.

—Robert Jastrow, Journey to the Stars

Management is doing things right, Leadership is doing the right things!

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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” »

This is a crosspost from Nextbigfuture

I looked at nuclear winter and city firestorms a few months ago I will summarize the case I made then in the next section. There is significant additions based on my further research and email exchanges that I had with Prof Alan Robock and Brian Toon who wrote the nuclear winter research.

The Steps needed to prove nuclear winter:
1. Prove that enough cities will have firestorms or big enough fires (the claim here is that does not happen)
2. Prove that when enough cities in a suffient area have big fire that enough smoke and soot gets into the stratosphere (trouble with this claim because of the Kuwait fires)
3. Prove that condition persists and effects climate as per models (others have questioned that but this issue is not addressed here

The nuclear winter case is predictated on getting 150 million tons (150 teragram case) of soot, smoke into the stratosphere and having it stay there. The assumption seemed to be that the cities will be targeted and the cities will burn in massive firestorms. Alan Robock indicated that they only included a fire based on the radius of ignition from the atmospheric blasts. However, in the scientific american article and in their 2007 paper the stated assumptions are:

Continue reading “Nuclear Winter and Fire and Reducing Fire Risks to Cities” »

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” »