Archive for the ‘Artificial Intelligence’ Category

Speaker: Barney Pell

Saturday, September 8th, 2007

Barney Pell, founder and CEO of Powerset, a semantic search engine set to launch this month, spoke about the paths toward AGI. He emphasized that most AI research has not been devoted to general intelligence, due to a variety of reasons.

What framework will be required for the development of AGI? Pell suggested that we are in a fundamentally different stage of AI development, where success in the industry can eventually drive further funding and development. While the industry has until now been focused on expert systems and vertical markets, the industry is rapidly transitioning to more general solutions.

Regarding Powerset, Pell said the company is developing conversational user interfaces and natural language search capabilities. They expect to read and parse every single sentence on the web, while allowing people to interact with the results using natural language.


Speaker: Eliezer Yudkowsky

Saturday, September 8th, 2007

Eliezer Yudkowsky, a researcher attempting to create “Friendly” AI, spoke about the three major schools of thought regarding the Technological Singularity:

  • Accelerating Change - technology trends follow exponential growth
  • Event Horizon - minds that are smarter than humans, including human brain enhancement, interfaces, and even AGI
  • Intelligence Explosion - improving intelligence using technology in a positive feedback cycle

These schools of thoughts can at times contradict each other, even suggesting alternative outcomes. For example, if the Event Horizon theory is correct, then predicting the future may be impossible. Accelerating Change proponents, such as Ray Kurzweil, suggest that the future might actually be predictable, because we can plot progress on an exponential graph with time as one of the axis.

However, these schools of thought can support each other’s core or bold claims. Today, these seem to be merged together into an idea of the Technological Singularity.


First Speaker: Dr. Rodney Brooks

Saturday, September 8th, 2007

Dr. Rodney Brooks opened the Singularity Summit 2007 with a summary of concepts related to the Singularity, robotics, and artificial general intelligence. He then talked about his work at iRobot and MIT, including the success of Roomba, visual attention systems in robots like KISMET, and upcoming robots that interact with their environments. He presented video of many of these robots.

He offered several alternative futures, such as:

  • AGI appears but humans are not aware of it and it is not aware of humans.
  • AGI accidentally arises on the Internet.
  • AGI appears but ignores humans.
  • Humans are not smart enough to develop AGI.
  • Humans will be fundamentally different than they are today, when AGI appears. For example, humans begin to use direct neural implants, and drug and neural enhancments become available and acceptable.

AGI-08 - The First Conference on Artificial General Intelligence

Tuesday, August 14th, 2007
  • AGI-08 - The First Conference on Artificial General Intelligence
  • FedEx Institute of Technology, Memphis, TN, USA
  • March 1-3, 2008
  • Description:
    Artificial General Intelligence New Window (AGI) research focuses on the original and ultimate goal of AI — to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies.


The Singularity Summit 2007

Monday, August 13th, 2007

Please see Frontier Channel’s coverage of this event.


The AI Question

Sunday, August 12th, 2007

When will AI surpass human-level intelligence?

This not an uncommon question in the futurist sphere, and especially among transhumanists and singularitarians. Bruce Klein, President of Novamente, a company pursuing Artificial General Intelligence by way of virtual agents, asked this question on the company’s blog and invited people to respond. The question appears straight forward enough. Whether or not you follow progress in artificial intelligence, it is easy enough to parse what is being asked. A layperson might reply with “never” or “hundreds of years” or, if they know something about the field, maybe a date some time this century.

What the layperson probably will not do is contentiously set up their answer by deconstructing the original question. Leave it to the experts to do that. A sampling of response introductions:

  • “Bruce, I generally think the question is misphrased.”
  • “I can’t answer the question because too many of the terms aren’t clear. There is a limited number of things that can be usefully said while standing on one foot.”
  • “Depends on how we define things.”
  • “I sometimes hate the relative opacity of this popular question, yet always love the motivations behind asking it!”
  • “In a way computers are already smarter than people.”
  • “Essentially, I don’t think that is a well-founded question. When it comes to playing chess or balancing accounts, AI has already exceeded human intelligence. Operations can be performed orders of magnitude faster and more accurately.”

In most of the responses, a series of dates are eventually provided, along with assumptions being made, rationalizations, personal beliefs, and sometimes sources. Not only the question but the asking of the question could be examined further. Who is asking the question and why? Who is answering and why? What is the context - historical, social - in which this question is being asked? How does this question-answer process work in cyberspace, via email and blog post, as opposed to other media? How might people who do not speak or write English pose the same question, and how might they respond? Why have only men responded so far?

This then is intellectual discourse, an activity that might lead some laypeople to scratch their heads and ask why the responders did not just provide a year and a brief explanation for their selection. Let us look back at the opening statement of the original post by Klein: “A question very simply crafted poll I’m asking a few friends to gain a better perspective on the time-frame for when we may see greater-than-human level AI.”

The edit says a lot about the responses that were received. Sometimes it is interesting, even useful, to just ask a simple question and expect a simple answer. We know what is being asked without becoming facetious about it.

My answer after my own verbose setup? Next decade (2010 - 2019).

Why (uh-oh)? Trends and technologies converge. Too often people examine individual trends and ignore convergence and surprises, all the while keeping in place their biases, including human-centric biases. The substrate from which human-level artificial intelligence will arise is a matrix of computing hardware, software, communications technology, progress in our understanding of the human brain, experiments in social networking and the metaverse, robotics, economic (the cost of human labor versus automation, robotics, and AI; military, government and private investments), etc. This substrate is all but in place.

To a historian, new technology might appear to have arrived suddenly, as if one day Technology X did not exist and the next day it did. In the days that follow, Technology X loses its luster and becomes just another part of the background noise of our technological existence, another piece of the substrate, a historical footnote. Convergence occurs and technologies appear to vanish into one another.

We - proponents and critics alike - place human-level artificial intelligence on a pedestal. That this was a hard problem, or is not a hard problem at all, will be all but forgotten with the advent of AGI. Human-level intelligence itself is only as miraculous or mundane as we individually and subjectively choose to view it.

Whether or not we as laypeople or we as experts define our terms, we make assumptions about intelligence from our interactions with other humans. When those assumptions about intelligence match with our interactions with other sentient beings, AI will have surpassed human-level intelligence. Yes, surpassed, not just equaled. That will happen within the next decade, when the substrate is appropriate for it.