An uplifting message as we enter the new year, quoted from Edge.org:
We're Not Insignificant After All
Max Tegmark, Physicist, MIT
When gazing up on a clear night, it's easy to feel insignificant. Since our earliest ancestors admired the stars, our human egos have suffered a series of blows. For starters, we're smaller than we thought. Eratosthenes showed that Earth was larger than millions of humans, and his Hellenic compatriots realized that the solar system was thousands of times larger still. Yet for all its grandeur, our Sun turned out to be merely one rather ordinary star among hundreds of billions in a galaxy that in turn is merely one of billions in our observable universe, the spherical region from which light has had time to reach us during the 14 billion years since our big bang. Then there are probably more (perhaps infinitely many) such regions. Our lives are small temporally as well as spatially: if this 14 billion year cosmic history were scaled to one year, then 100,000 years of human history would be 4 minutes and a 100 year life would be 0.2 seconds. Further deflating our hubris, we've learned that we're not that special either. Darwin taught us that we're animals, Freud taught us that we're irrational, machines now outpower us, and just last month, Deep Fritz outsmarted our Chess champion Vladimir Kramnik. Adding insult to injury, cosmologists have found that we're not even made out of the majority substance.The more I learned about this, the less significant I felt. Yet in recent years, I've suddenly turned more optimistic about our cosmic significance. I've come to believe that advanced evolved life is very rare, yet has huge growth potential, making our place in space and time remarkably significant.
The nature of life and consciousness is of course a hotly debated subject. My guess is that these phenomena can exist much more generally that in the carbon-based examples we know of.
I believe that consciousness is, essentially, the way information feels when being processed. Since matter can be arranged to process information in numerous ways of vastly varying complexity, this implies a rich variety of levels and types of consciousness. The particular type of consciousness that we subjectively know is then a phenomenon that arises in certain highly complex physical systems that input, process, store and output information. Clearly, if atoms can be assembled to make humans, the laws of physics also permit the construction of vastly more advanced forms of sentient life. Yet such advanced beings can probably only come about in a two-step process: first intelligent beings evolve through natural selection, then they choose to pass on the torch of life by building more advanced consciousness that can further improve itself.
Unshackled by the limitations of our human bodies, such advanced life could rise up and eventually inhabit much of our observable universe. Science fiction writers, AI-aficionados and transhumanist thinkers have long explored this idea, and to me the question isn't if it can happen, but if it will happen.
My guess is that evolved life as advanced as ours is very rare. Our universe contains countless other solar systems, many of which are billions of years older than ours. Enrico Fermi pointed out that if advanced civilizations have evolved in many of them, then some have a vast head start on us — so where are they? I don't buy the explanation that they're all choosing to keep a low profile: natural selection operates on all scales, and as soon as one life form adopts expansionism (sending off rogue self-replicating interstellar nanoprobes, say), others can't afford to ignore it. My personal guess is that we're the only life form in our entire observable universe that has advanced to the point of building telescopes, so let's explore that hypothesis. It was the cosmic vastness that made me feel insignificant to start with. Yet those galaxies are visible and beautiful to us — and only us. It is only we who give them any meaning, making our small planet the most significant place in our observable universe.
Moreover, this brief century of ours is arguably the most significant one in the history of our universe: the one when its meaningful future gets decided. We'll have the technology to either self-destruct or to seed our cosmos with life. The situation is so unstable that I doubt that we can dwell at this fork in the road for more than another century. If we end up going the life route rather than the death route, then in a distant future, our cosmos will be teeming with life that all traces back to what we do here and now. I have no idea how we'll be thought of, but I'm sure that we won't be remembered as insignificant.
A few thoughts: when considering the heavy skepticism that the singularity hypothesis receives, it is important to remember that there is a much weaker hypothesis, highlighted here by Tegmark, that still has extremely counter-intuitive implications about our place in spacetime; one might call it the bottleneck hypothesis - the hypothesis that 21st century humanity occupies a pivotal place in the evolution of the universe, simply because we may well be a part of the small space/time window during which it is decided whether earth-originating life will colonize the universe or not.
The bottleneck hypothesis is weaker than the singularity hypothesis - we can be at the bottleneck even if smarter-than-human AI is impossible or extremely impractical, but if smarter-than-human AI is possible and reasonably practical, then we are surely at the bottleneck of the universe. The bottleneck hypothesis is based upon less controversial science than the singularity hypothesis, and is robust to different assumptions about what is feasible in an engineering sense (AI/no AI, ems/no ems, nuclear rockets/generation ships/cryonics advances, etc) so might be accepted by a larger number of people.
Related is Hanson's "Dream Time" idea.
Not exactly too primitive but of the wrong structure. Are you familiar with functional programming type notation? An off line learning system can be considered a curried function of type
classify :: Corpus -> (a -> b)
Where a and b are the input and output types, and Corpus is the training data. Consider a chess playing game that learns from previous chess games (for simplicity).
Corpus -> (ChessGameState -> ChessMove) or a data mining tool set up for finding terrorists
Corpus -> ((Passport, FlightItinerary) -> Float) where the float is the probability that the person travelling is a terrorist based on the passport presented and the itinerary.
They can be very good at their jobs, but they are predictable. You know their types. What I was worried about is learning systems that don't have a well defined input and output over their life times.
Consider the humble PC it doesn't know how many monitors it is connected to or what will be connected to its USB sockets. If you wanted to create a system that could learn to control it you would need to be from any type to any type, dependent upon what it had connected.* I think humans and animals are designed to be this kind of system as our brain has been selected to cope with many different types of body with minimal evolutionary change. It is what allows us to add prosthetics and cope with bodily changes over life (growth and limb/sense loss). These system are a lot more flexible as they can learn things quickly by restricting their search spaces, but still have a wide range of possible actions.
There are more considerations for an intelligence about the type of function that determines how the corpus/memory determines the current input/output mapping as well. But that is another long reply.
*You can represent any type to any other type as a large integer in a finite system. But with the type notation I am trying to indicate what the system is capable of learning at any one point. We don't search the whole space for computational resource reasons.
Thanks for the reply. It is very helpful.
I am aware of functional programming, but only due to having explored it myself (I am still at City College of San Francisco, and will not be transferring to UC - hopefully Berkeley or UCSD - until this fall). Unfortunately, most Community and Junior Colleges don't teach functional programming, because they are mostly concerned with cranking out code monkeys rather than real Computer Scientists or Cognitive Scientists (My degree is Cog Sci/Computationalism and Computational Engineering - or, the shorter name: Artifi... (read more)