Machine Learning (Theory)

4/12/2008

Blog compromised

Tags: Meta jl@ 10:40 am

Iain noticed that hunch.net had zero width divs hiding spammy URLs. Some investigation reveals that the wordpress version being used (2.0.3) had security flaws. I’ve upgraded to the latest, rotated passwords, and removed the spammy URLs. I don’t believe any content was lost. You can check your own and other sites for a similar problem by greping for “width:0” or “width: 0” in the delivered html source.

It Doesn’t Stop

Tags: AI,Research jl@ 5:08 am

I’ve enjoyed the Terminator movies and show. Neglecting the whacky aspects (time travel and associated paradoxes), there is an enduring topic of discussion: how do people deal with intelligent machines (and vice versa)?

In Terminator-land, the primary method for dealing with intelligent machines is to prevent them from being made. This approach works pretty badly, because a new angle on building an intelligent machine keeps coming up. This is partly a ploy for writer’s to avoid writing themselves out of a job, but there is a fundamental truth to it as well: preventing progress in research is hard.

The United States, has been experimenting with trying to stop research on stem cells. It hasn’t worked very well—the net effect has been retarding research programs a bit, and exporting some research to other countries. Another less recent example was encryption technology, for which the United States generally did not encourage early public research and even discouraged as a munition. This slowed the development of encryption tools, but I now routinely use tools such as ssh and GPG.

Although the strategy of preventing research may be doomed, it does bring up a Bill Joy type of question: should we actively chose to do research in a field where knowledge can be used to great harm? As an example, the Terminator series illustrates the dark fears of AI gone bad. Many researchers avoid this question by not thinking about it, but this is a substantial question of concern to society at large, and whether or not society supports a direction of research.

My answer is “yes, we should do research”. The reason is simple: I believe that good AI is the best chance of the survival of civilization. This might seem like a leap, but considering the following.

  1. Civilization is not stable. Anyone who believes otherwise needs to try to smell the 1908. Just a lifetime ago, humans could barely fly and computers were people. These radical changes in the abilities of a civilization are strong evidence against stability. Further evidence of instabilities come from long term world changing trends such as greenhouse gas accumulation and population graphs.
  2. Instability is bad in the long run. There are quite a number of doomsday-for-civilization scenarios kicking around—nuclear, plague, grey goo, black holes, etc… Many people find doomsday scenarios triggered by malevolence or accident to be unconvincing, since doomsday claims are so commonly debunked (remember the Y2K computer bug armageddon?). I am naturally skeptical myself, but it only takes one. In the next 10000 years, the odds of something going wrong seem fair.
  3. … for a closed system. There is one really good caveat to instability, which is redundancy. Perhaps if we Earthlings screwup, our descendendents on Alpha Centauri can come pick up the pieces. The fundamental driver here is light speed latency: if it takes years for two groups to communicate, then it is unlikely they’ll manage to coordinate (with malevolence or accident) a simultaneous doomsday.
  4. But real space travel requires AI. Getting from one star system to another with known physics turns out to be very hard. The best approaches I know involve giant lasers and multiple solar sails or fusion powered rockets, taking many years. Merely getting there, of course, is not enough—we need to get there with a kernel of civilization, capable of growing anew in the new system. Any adjacent star system may not have an earth-like planet implying the need to support a space-based civilization. Since travel between star systems is so prohibitively difficult, a basic question is: how small can we make a kernel of civilization? Many science fiction writers and readers think of generation ships, which would necessarily be enormous to support the air, food, and water requirements of a self-sustaining human population. A much simpler and easier solution comes with AI. A good design might mass 103 kilograms or so and be designed to first land on an asteroid, then mine it, first creating a large solar cell array, and replicas to seed other asteroids. Eventually, hallowed out asteroids could support human life if the requisite materials (Oxygen, Carbon, Hydrogen, etc..) are found. The fundamental observation here is that intelligence and knowledge require very little mass.

I hope we manage to crack AI, opening the door to real space travel, so that civilization doesn’t stop.

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