Tuesday, December 13, 2011
Aubrey de Grey appears on the Today show!
Make sure you check out his lecture video right below this post.
http://today.msnbc.msn.com/id/45654223/ns/today-today_health/t/scientists-say-theyre-close-unlocking-secrets-immortality/?fb_ref=.TugIRteOozh.like&fb_source=profile_oneline
Monday, November 21, 2011
Saturday, November 19, 2011
Prolonging the Human Race
Discussion on 11/20/11, led by Kyle
As we all know, our days here on Earth are numbered. The big question is: How much longer will we be able to inhabit the Earth until it's no longer inhabitable or even destroyed? Our goal, as a species, is to reproduce and propagate; while this may be reasonable for the time being, there are still other circumstances that either just recently had light shed on their dangers or haven't been addressed at all. From the words of Nick Bostrom these are referred to as Existential Risks, defined as: "One where an adverse outcome would either annihilate Earth-originating intelligent life or permanently and drastically curtail its potential." More specifically, these risks can be anything from nanobots consuming the earth to the shutting off of our supercomputer that controls the universe (if we would exist in such a universe).
So really our question becomes: What can we do to ensure the survival of our species if such disasters might occur? Here are some of points that we will examine in the discussion:
- Who cares? If there's a good possibility we won't be around to experience these Existential Risks then should we take action now?
- Are all existential risks the same? In other words, should they all be treated with equal concern?
- How do we know we can overcome such risks? More importantly we will look more in depth at our likelihood of being unsuccessful if such a risk were to jeopardize mankind.
- Specifically, what is most important for ensuring mankind's survival for a substantial amount of time after an Existential catastrophe?
Saturday, November 12, 2011
The Implications of Infinite Resources
Discussion on 11/13/2011, led by Billy
Hey everyone,
I'll be leading the discussion this week. We will pick up the topic Craig brought up last time, but never got around to fully discussing: technology and the future of government.
Here is what Craig wrote two weeks ago. He phrased it nicely so please read this as a refresher:
If you look at history, a variety of goods once only available to the rich are now available to everyone — or at least a much greater portion of the population — due to improved technology.
However, the fundamental role of money has not changed as a result of this innovation. Money is still an economic necessity because there is still scarcity. In spite of all the amenities of the modern era in comparison to earlier times — take the variety of cheaply available food in grocery stores, fresh water and readily available shelter, and so on — there are still many things only available to the richest among us simply because we do not possess the resources to give everyone access. Not everyone can own a yacht, and fewer can own private jets.
The central question of this week's discussion will be whether or not this principle that has been universal thus far through human history will ever cease to apply. Is it possible, that with exponentially improving technology and innovations like molecular manufacturing and nanotech that scarcity will actually cease to exist?
Craig
I want to further the discussion by bringing up a few more points. Consider any type of governmental system: You'll find a central theme revolving around resource distribution. America, for example, relies on capitalism for resource distribution. On the other end of the spectrum, Marxists rely on communism for resource distribution. Why do we have the need for resource distribution? That's an easy question to answer. Resources are limited. Because resources cannot be equally distributed to everyone (at least up to this point in history), resource distribution is a high priority for any type of government. This should be obvious: Go on any news website and you'll find that half the articles discuss budgets or resource allocation. In fact, it wouldn't be far-fetched to define governments as systems that impose certain resource distribution schemes as "law."
Now, imagine a world where nanotechnology has progressed to a point where we can change materials on the molecular level. In such a world, resources effectively become unlimited. Please think about the following points for the discussion:
- In a world of unlimited resources, what would happen to resource distribution? Would this become obsolete or transformed into another form?
- If resource distribution ceases to be a problem, what would be a government's new top priority?
- In this case, would communism (or any other system that you can think of) become a system that could work? Which system do you think would be the most ideal?
- Assuming technologies that can radically redefine resource distribution (such as nanotech that can change structure on the molecular level) are ultimately obtainable with the input of some effort, should we continue to research into such technologies? What would be the societal advantages and disadvantages brought about by the advent of such technologies?
Saturday, October 29, 2011
The Future of Money
Discussion on 10/30/2011, led by Craig
If you look at history, a variety of goods once only available to the rich are now available to everyone — or at least a much greater portion of the population — due to improved technology.
However, the fundamental role of money has not changed as a result of this innovation. Money is still an economic necessity because there is still scarcity. In spite of all the amenities of the modern era in comparison to earlier times — take the variety of cheaply available food in grocery stores, fresh water and readily available shelter, and so on — there are still many things only available to the richest among us simply because we do not possess the resources to give everyone access. Not everyone can own a yacht, and fewer can own private jets.
The central question of this week's discussion will be whether or not this principle that has been universal thus far through human history will ever cease to apply. Is it possible, that with exponentially improving technology and innovations like molecular manufacturing and nanotech that scarcity will actually cease to exist?
Saturday, October 1, 2011
Nondeterminism in Artificial Intelligence
Discussion on 10/2/2011, led by Praneeth
The first computer programs were purely mathematical. ENIAC, for example, was used to calculate artillery firing tables for the US Army. These calculations were deterministic. The same input always resulted in the same answer. A shell fired with distance x, angle y, and velocity z would always have the shell land at position n.
As computing evolved, the nature of the tasks became less mathematical, but the underlying deterministic model remained. Consider loading a webpage in your browser. A layout engine reads the in HTML and other data that it downloaded from the webserver. The World Wide Web Consortium has hundreds of pages of documents that define exactly how this data should be processed to produce what you see on the screen, all down to the last pixel. According to the World Wide Web Consortium, a given webpage should always render exactly according to these rules, no matter what browser you use. Rendering a web page is therefore deterministic; a single input (the HTML) gives a single output (the display on your screen).
Obviously, this is not the way the human mind operates. The human mind operates mostly on intuition, accumulated experience that acts as a rough guide and predictor of future actions – the schema. Intuition is nondeterministic in the sense that it is impossible to predict the result of an algorithm without knowing the schema. Since schemas evolve over a lifetime and are the aggregation of millions of events, they are unknowns in computation. If we ignore the schema parameter altogether, then we have a function that takes n arguments and can give any number of different results for those n arguments.
On Sunday, we will discuss the advantages and disadvantages of nondeterministic approaches to AI across three categories. (What we will not do is talk about specific algorithms and strategies that are used in artificial intelligence programming.)
Adaptability
When IBM wrote the software for Deep Blue, it took a brute force approach: Deep Blue would consider 200 million possible outcomes per second and choose the one which yielded the highest probability of winning. The only problem was that Deep Blue could not predict its opponent’s moves. The most it could do was guess which move he was most likely to take. Thus, the problem of winning a game of chess became nondeterministic. Gary Kasparov took advantage of this and defeated Deep Blue several times by making unexpected moves. IBM responded with increased computing power, allowing Deep Blue to investigate many more of the unlikely paths that the game could take. But this solution does not scale. There are a finite number of outcomes for a chess game. The same cannot be said for most aspects of the real world. How can we create computer programs that can adapt to unexpected situations?
Dependability
Today’s microtrading programs conduct transactions in fractions of a second. Transactions are happening so fast that the latency of sending data over the wire is becoming a problem. What happens if Citigroup's Program makes a massive trade at 10:00:53 and Goldman Sach’s program is making decisions based on data it downloaded at 10:00:58? Creators of microtrading programs have to account for the fact that they may not be dealing with the most accurate or up to date data.
Microtrading programmers and other AI programmers will have to consider divergence: what is the maximum amount of error or ambiguity that can be in the input while still allowing the program to compute the correct result? This is an extension of adaptability. An artificial intelligence program will not always have access to a complete data set, but it will still have to be able to produce an answer.
Predictability (or Reproducibility)
Many programs rely on the fact that deterministic algorithms always return the same result under the same conditions. Thus, one program can predict the output of another. This is a crucial part of what is known as unit testing, the process of ensuring that all parts of a program work. A unit test is a program which runs the program of interest with hundreds of different sets of inputs and makes sure that the output is always correct. But in a nondeterministic model, a program does not always give the same output. How can we test such programs?
If this problem seems to abstract, consider this: Isaac Asimov proposed the Three Laws which robots would be hardcoded follow to ensure that they never became violent towards humans. If we implement artificial intelligence with nondeterministic algorithms, how can we be sure that the programs will always follow the Three Laws? Even if they follow the Laws a thousand times, they could easily break them on the one thousand and first run.
The difficulty of testing is a problem even today. How can we ensure that microtrading programs trading on the NYSE don’t cause a stock market crash?
Saturday, September 24, 2011
Religion and Transhumanism
Discussion on 9/25/2011, led by Mark
Like Brenda, I've condensed my main talking points into three short bullets for your consideration:
- The continuation of evolving technologies without the evolution of faith leads many faithful to reject religions, valid questions include what goods and evils draw upon a decreasingly religious society.
- Where does belief in science and technology become religion in and of itself? Example: Machine Cults in Warhammer 40,000
- When and how do religion and technology actually coincide, and why is such a unity more acceptable among eastern religion than western? Examples: Christian Transhumanism, Buddhism, Shintoism
Religion is a very touchy subject, and it carries the risk of devolution into name calling. I'd like you to bring an open mind to this topic in particular as we address it as an issue rather than in the contexts of everyone's particular beliefs.