Most Attractive People at Top Attractiveness?

[Admiral Yi]

Liv Tyler--That Thing You Do.

[Baron von Schtinkenbutt]

Is Audrey Hepburn in BaT too obvious?

I was holding off on that for the same reason.

[The Brain]

Scarlett Johansson - Lost In Translation

[Admiral Yi]

Juluiet Binoche and Lena Olin--The Unbearable Lightness of Being.

[Ed Anger]

Bea Arthur

[Eddie Teach]

Bea Arthur

[Admiral Yi]

That Big Fat Cow from Cheers--Star Trek II

[The Brain]

That Big Fat Cow from Cheers--Star Trek II

[Queequeg]

Jennifer Connelly in Career Opportunities is a good one.  That woman was just about the sexiest thing ever when she still had that babyfat. 

[Ideologue]

Jennifer Connelly-Requiem For a Dream.

[Ed Anger]

Jennifer Connelly in Career Opportunities is a good one.  That woman was just about the sexiest thing ever when she still had that babyfat.

Sicko.

[The Brain]

Jennifer Connelly is kinda plain. Browmania.

[Ed Anger]

She needs to fall into a wood chipper

[Siege]

After the technological singularity, we can all choose how we look.
Too bad we are not going to be able to have real sex anymore.

[Siege]

What is the Singularity:

The Singularity involves the following principles, which I will document, develop, analyze, and contemplate
throughout the rest of this book:

- The rate of paradigm shift (technical innovation) is accelerating, right now doubling every decade.

- The power (price-performance, speed, capacity, and bandwidth) of information technologies is growing
exponentially at an even faster pace, now doubling about every year.29 This principle applies to a wide range of
measures, including the amount of human knowledge.

- For information technologies, there is a second level of exponential growth: that is, exponential growth in the
rate of exponential growth (the exponent). The reason: as a technology becomes more cost effective, more
resources are deployed toward its advancement, so the rate of exponential growth increases over time. For
example, the computer industry in the 1940s consisted of a handful of now historically important projects. Today
total revenue in the computer industry is more than one trillion dollars, so research and development budgets are
comparably higher.

- Human brain scanning is one of these exponentially improving technologies. As I will show in chapter 4, the
temporal and spatial resolution and bandwidth of brain scanning are doubling each year. We are just now
obtaining the tools sufficient to begin serious reverse engineering (decoding) of the human brain's principles of
operation. We already have impressive models and simulations of a couple dozen of the brain's several hundred
regions. Within two decades, we will have a detailed understanding of how all the regions of the human brain
work.

- We will have the requisite hardware to emulate human intelligence with supercomputers by the end of this
decade and with personal-computer-size devices by the end of the following decade. We will have effective
software models of human intelligence by the mid-2020s.

- With both the hardware and software needed to fully emulate human intelligence, we can expect computers to
pass the Turing test, indicating intelligence indistinguishable from that of biological humans, by the end of the
2020s.

- When they achieve this level of development, computers will be able to combine the traditional strengths of
human intelligence with the strengths of machine intelligence.

- The traditional strengths of human intelligence include a formidable ability to recognize patterns. The massively
parallel and self-organizing nature of the human brain is an ideal architecture for recognizing patterns that are
based on subtle, invariant properties. Humans are also capable of learning new knowledge by applying insights
and inferring principles from experience, including information gathered through language. A key capability of
human intelligence is the ability to create mental models of reality and to conduct mental "what-if" experiments
by varying aspects of these models.

 -The traditional strengths of machine intelligence include the ability to remember billions of facts precisely and
recall them instantly.

 -Another advantage of nonbiological intelligence is that once a skill is mastered by a machine, it can be
performed repeatedly at high speed, at optimal accuracy, and without tiring.

 -Perhaps most important, machines can share their knowledge at extremely high speed, compared to the very
slow speed of human knowledge-sharing through language.

 -Nonbiological intelligence will be able to download skills and knowledge from other machines, eventually also
from humans.

 -Machines will process and switch signals at close to the speed of light (about three hundred million meters per
second), compared to about one hundred meters per second for the electrochemical signals used in biological
mammalian brains.31 This speed ratio is at least three million to one.

 -Machines will have access via the Internet to all the knowledge of our human-machine civilization and will be
able to master all of this knowledge.

 -Machines can pool their resources, intelligence, and memories. Two machines—or one million machines—can
join together to become one and then become separate again. Multiple machines can do both at the same time:
become one and separate simultaneously. Humans call this falling in love, but our biological ability to do this is
fleeting and unreliable.

 -The combination of these traditional strengths (the pattern-recognition ability of biological human intelligence
and the speed, memory capacity and accuracy, and knowledge and skill-sharing abilities of nonbiological
intelligence) will be formidable.

 -Machine intelligence will have complete freedom of design and architecture (that is, they won't be constrained
by biological limitations, such as the slow switching speed of our interneuronal connections or a fixed skull size)
as well as consistent performance at all times.

 -Once nonbiological intelligence combines the traditional strengths of both humans and machines, the
nonbiological portion of our civilization's intelligence will then continue to benefit from the double exponential
growth of machine price-performance, speed, and capacity.

 -Once machines achieve the ability to design and engineer technology as humans do, only at far higher speeds
and capacities, they will have access to their own designs (source code) and the ability to manipulate them.
Humans are now accomplishing something similar through biotechnology (changing the genetic and other
information processes underlying our biology), but in a much slower and far more limited way than what
machines will be able to achieve by modifying their own programs.

 -Biology has inherent limitations. For example, every living organism must be built from proteins that are folded
from one-dimensional strings of amino acids. Protein-based mechanisms are lacking in strength and speed. We
will be able to reengineer all of the organs and systems in our biological bodies and brains to be vastly more
capable.

 -As we will discuss in chapter 4, human intelligence does have a certain amount of plasticity (ability to change its
structure), more so than had previously been understood. But the architecture of the human brain is nonetheless
profoundly limited. For example, there is room for only about one hundred trillion interneuronal connections in
each of our skulls. A key genetic change that allowed for the greater cognitive ability of humans compared to
that of our primate ancestors was the development of a larger cerebral cortex as well as the development of
increased volume of gray-matter tissue in certain regions of the brain. This change occurred, however, on the
very slow timescale of biological evolution and still involves an inherent limit to the brain's capacity. Machines
will be able to reformulate their own designs and augment their own capacities without limit. By using
nanotechnology-based designs, their capabilities will be far greater than biological brains without increased size
or energy consumption.

 -Machines will also benefit from using very fast three-dimensional molecular circuits. Today's electronic circuits
are more than one million times faster than the electrochemical switching used in mammalian brains.
Tomorrow's molecular circuits will be based on devices such as nanotubes, which are tiny cylinders of carbon
atoms that measure about ten atoms across and are five hundred times smaller than today's silicon-based
transistors. Since the signals have less distance to travel, they will also be able to operate at terahertz (trillions of
operations per second) speeds compared to the few gigahertz (billions of operations per second) speeds of
current chips.

 -The rate of technological change will not be limited to human mental speeds. Machine intelligence will improve
its own abilities in a feedback cycle that unaided human intelligence will not be able to follow.

 -This cycle of machine intelligence's iteratively improving its own design will become faster and faster. This is in
fact exactly what is predicted by the formula for continued acceleration of the rate of paradigm shift. One of the
objections that has been raised to the continuation of the acceleration of paradigm shift is that it ultimately
becomes much too fast for humans to follow, and so therefore, it's argued, it cannot happen. However, the shift
from biological to nonbiological intelligence will enable the trend to continue.

 -Along with the accelerating improvement cycle of nonbiological intelligence, nanotechnology will enable the
manipulation of physical reality at the molecular level.

 -Nanotechnology will enable the design of nanobots: robots designed at the molecular level, measured in microns
(millionths of a meter), such as "respirocytes" (mechanical red-blood cells).33 Nanobots will have myriad roles
within the human body, including reversing human aging (to the extent that this task will not already have been
completed through biotechnology, such as genetic engineering).

 -Nanobots will interact with biological neurons to vastly extend human experience by creating virtual reality from
within the nervous system.

 -Billions of nanobots in the capillaries of the brain will also vastly extend human intelligence.

 -Once nonbiological intelligence gets a foothold in the human brain (this has already started with computerized
neural implants), the machine intelligence in our brains will grow exponentially (as it has been doing all along),
at least doubling in power each year. In contrast, biological intelligence is effectively of fixed capacity. Thus, the
nonbiological portion of our intelligence will ultimately predominate.

 -Nanobots will also enhance the environment by reversing pollution from earlier industrialization.

 -Nanobots called foglets that can manipulate image and sound waves will bring the morphing qualities of virtual
reality to the real world.

 -The human ability to understand and respond appropriately to emotion (so-called emotional intelligence) is one
of the forms of human intelligence that will be understood and mastered by future machine intelligence. Some of
our emotional responses are tuned to optimize our intelligence in the context of our limited and frail biological
bodies. Future machine intelligence will also have "bodies" (for example, virtual bodies in virtual reality, or
projections in real reality using foglets) in order to interact with the world, but these nanoengineered bodies will
be far more capable and durable than biological human bodies. Thus, some of the "emotional" responses of
future machine intelligence will be redesigned to reflect their vastly enhanced physical capabilities.35

 -As virtual reality from within the nervous system becomes competitive with real reality in terms of resolution
and believability, our experiences will increasingly take place in virtual environments.

 -In virtual reality, we can be a different person both physically and emotionally. In fact, other people (such as
your romantic partner) will be able to select a different body for you than you might select for yourself (and vice
versa).

 -The law of accelerating returns will continue until nonbiological intelligence comes dose to "saturating" the
matter and energy in our vicinity of the universe with our human-machine intelligence. By saturating, I mean
utilizing the matter and energy patterns for computation to an optimal degree, based on our understanding of the
physics of computation. As we approach this limit, the intelligence of our civilization will continue its expansion
in capability by spreading outward toward the rest of the universe. The speed of this expansion will quickly
achieve the maximum speed at which information can travel.

 -Ultimately, the entire universe will become saturated with our intelligence. This is the destiny of the universe.
(See chapter 6.) We will determine our own fate rather than have it determined by the current "dumb," simple,
machinelike forces that rule celestial mechanics.

 -The length of time it will take the universe to become intelligent to this extent depends on whether or not the
speed of light is an immutable limit. There are indications of possible subtle exceptions (or circumventions) to
this limit, which, if they exist, the vast intelligence of our civilization at this future time will be able to exploit.