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.
Some think that these problems are so hard that it isn’t a matter of writing code, it is a matter of coming up with the breakthroughs on a chalkboard. But people can generally agree at a high level how the software for solving many problems will work. There has been code for doing OCR and neural networks and much more kicking around for years. The biggest challenge right now is getting people together to hash out the details, which is a lot closer to Wikipedia than it first appears. Software advances in a steady, stepwise fashion, which is why we need free software licenses: to incorporate all the incremental advancements that each scientist is making. Advances must eventually be expressed in software (and data) so it can be executed by a computer. Even if you believe we need certain scientific breakthroughs, it should be clear that things like robust computer vision are complicated enough that you would want 100s of people working together on the vision pipeline. So, while we are waiting for those breakthroughs, let’s get 100 people together!
Perhaps you think I’m crazy or naive to pose this question. But more and more the past few months I’ve begun to wonder if there is a possibility here that this idea may not be too far off the mark.
Not because of some half-baked theory about a global conspiracy or anything of the sort but simply based upon the behavior of many multinational corporations recently and the effects this behavior is having upon people everywhere.
Again, you may disagree but my perspective on these financial giants is that they are essentially predatory in nature and that their prey is any dollar in commerce that they can possibly absorb. The problem is that for anyone in the modern or even quasi-modern world money is nearly as essential as plasma when it comes to our well-being.
It has been clearly demonstrated again and again — all over the world — that when a population has become sufficiently destitute that the survival of the individual is actually threatened violence inevitably occurs. On a large enough scale this sort of violence can erupt into civil war and wars, as we all know too well can spread like a virus across borders, even oceans.
Transitions
Posted in futurism
King Louis XVI’s entry in his personal diary for that fateful day of July 14, 1789 suggests that nothing important had happened. He did not know that the events of the day-the attack upon the Bastille-meant that the revolution was under way, and that the world as he knew it was essentially over. Fast forward to June, 2010: a self-replicating biological organism (mycoplasma mycoides bacterium transformed) has been created in a laboratory by J. Craig Venter and his team. Yes, the revolution has begun. Indeed, the preliminaries have been going on for several years; it’s just that … um, well, have we been wide awake?
Ray Kurzweil’s singularity might be 25 years into the future, but sooner, a few years from now, we’ll have an interactive global network that some refer to as ‘global brain.’ Web3. I imagine no one knows exactly what will come out of all this, but I expect that we’ll find that the whole will be more than and different from the sum of the parts. Remember Complexity Theory. How about the ‘butterfly effect?’ Chaos Theory. And much more not explainable by theories presently known. I expect surprises, to say the least.
I am a retired psychiatrist, not a scientist. We each have a role to enact in this drama/comedy that we call life, and yes, our lives have meaning. Meaning! For me life is not a series of random events or events brought about by ‘them,’ but rather an unfolding drama/comedy with an infinite number of possible outcomes. We don’t know its origins or its drivers. Do we even know where our visions comes from?
So, what is my vision and what do I want? How clearly do I visualize what I want? Am I passionate about what I want or simply lukewarm? How much am I prepared to risk in pursuit of what I want? Do I reach out for what I want directly or do I get what I want indirectly by trying to serve two masters, so to speak? If the former I practice psychological responsibility, if the latter I do not. An important distinction. The latter situation suggests unresolved dilemma, common enough. Who among us can claim to be without?
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:
Cell Phones in Timbuktu
Posted in economics, finance, geopolitics, human trajectories
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.
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
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)
There has yet to be a definitive explanation of how stocks such as Proctor and Gamble plunged 47% and the normally solid Accenture plunged from a value of roughly $40 to one cent, based on no external input of information into the financial system. The SEC has issued directives in recent years boosting competition and lowering commissions, which has had the effect of fragmenting equity trading around the US and making it highly automated. This has created four leading exchanges, NYSE Euronext, Nasdaq OMX Group, Bats Global Market and Direct Edge and secondary exchanges include International Securities Exchange, Chicago Board Options Exchange, the CME Group and the Intercontinental Exchange. There are also broker-run matching systems like those run by Knight and ITG and so called ‘dark-pools’ where trades are matched privately with prices posted publicly only after trades are done. As similar picture has emerged in Europe, where rules allowing competition with established exchanges and known by the acronym “Mifid” have led to a similar explosion of types and venues.
To navigate this confusing picture traders have to rely on ‘smart order routers’ – electronic systems that seek the best price across all of the platforms. Therefore, trades are done in vast data centers – not in exchange buildings. This total automation of trading allows for the use of a variety of ‘trading algorithms’ to manage investment themes. The best known of these is a ‘Volume Algo’, which ensures throughout the day that a trader maintains his holding in a share at a pre-set percentage of that share’s overall volume, automatically adjusting buy and sell instructions to ensure that percentage remains stable whatever the market conditions. Algorithms such as this have been blamed for exacerbating the rapid price moves on May 6th. High-frequency traders are the biggest proponents of algos and they account for up to 60% of US equity trading.
The most likely cause of the collapse on May 6th was the slowing down or near stop on one side of the trading pool. So in very basic terms a large number of sell orders started backing up on one side of the system (at the speed of light) with no counter-parties taking the order on the other side of the trade. The counter-party side of the trade slowed or stopped causing this almost instant pile-up of orders. The algorithms on the other side finding no buyer for their stocks kept offering lower prices (as per their software) until they attracted a buyer. However, as no buyer’s appeared on the still slowed or stopped counter-party side prices tumbled at an alarming rate. Fingers have pointed at the NYSE for causing the slow down on one side of the trading pool as it instituted some kind of circuit breaker into the system, which caused all the other exchanges to pile-up on the other side of the trade. There has also been a focus on one particular trade, which may have been the spark igniting the NYSE ‘circuit breaker’. Whatever the precise cause, once events were set in train the system had in no way caught up with the new realities of automated trading and diversified exchanges.
More nodes same assumptions
On one level this seems to defy conventional thinking about security – more diversity greater strength – not all nodes in a network can be compromised at the same time. By having a greater number of exchanges surely the US and global financial system is more secure? However, in this case, the theory collapses quickly if thinking is switched from examining the physical to the virtual. While all of the exchanges are physically and operationally separate they all seemingly share the same software and crucially trading algorithms that all have some of the same assumptions. In this case they all assumed that because they could find no counter-party to the trade they needed to lower the price (at the speed of light). The system is therefore highly vulnerable because it relies on one set of assumptions that have been programmed into lighting fast algorithms. If a national circuit breaker could be implemented (which remains doubtful) then this could slow rapid descent but it doesn’t take away the power of the algorithms – which are always going to act in certain fundamental ways ie continue to lower the offer price if they obtain no buy order. What needs to be understood are the fundamental ways in which all the trading algorithms move in concert. All will have variances but they will all share key similarities, understanding these should lead to the design of logic circuit breakers.
New Terrorism
However, for now the system looks desperately vulnerable to both generalized and targeted cyber attack and this is the opportunity for the next generation of terrorists. There has been little discussion as to whether the events of last Thursday were prompted by malicious means but it certainly is worth mentioning. At a time when Greece was burning launching a cyber attack against this part of the US financial system would clearly have been stunningly effective. Combining political instability with a cyber attack against the US financial system would create enough doubt about the cause of a market drop for the collapse gain rapid traction. Using targeted cyber attacks to stop one side of the trade within these exchanges (which are all highly automated and networked) would, as has now been proven, cause a dramatic collapse. This could also be adapted and targeted at specific companies or asset classes to cause a collapse in price. A scenario where-by one of the exchanges slows down its trades surrounding the stock of a company the bad-actor is targeting seems both plausible and effective.
A hybrid cyber and kinetic attack could also cause similar damage – as most trades are now conducted within data-centers – it begs the question why are there armed guards outside the NYSE – of course if retains some symbolic value but security resources would be better placed outside of the data-centers where these trades are being conducted. A kinetic attack against financial data centers responsible for these trades would surely have a devastating effect. Finding the location of these data centers is as simple as conducting a Google search.
In order for terrorism to have impact in the future it needs to shift its focus from the weapons of the 20th Century to those of the present day. Using their current tactics the Pakistan Taliban and their assorted fellow-travelers cannot fundamentally damage western society. That battle is over. However, the next era of conflict motivated by a radicalism from as yet unknown grievances, fueled by a globally networked generation Y, their cyber weapons of choice and the precise application of ultra-violence and information spin has dawned. Five days in Manhattan flashed a light on this new era.