animals and machines finalise
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year={2012},
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year={2012},
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url="http://large.stanford.edu/courses/2012/ph240/khan1/"
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url="http://large.stanford.edu/courses/2012/ph240/khan1/"
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}
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}
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@article{hummingbird,
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title={What Happens When You Put a Hummingbird in a Wind Tunnel?},
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author={Sadiq, Sheraz},
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year={2015},
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url="https://www.kqed.org/science/28759/what-happens-when-you-put-a-hummingbird-in-a-wind-tunnel"
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}
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@article{rotman2020we,
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title={We’re not prepared for the end of Moore’s Law},
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author={Rotman, David},
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journal={MIT Technology Review},
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year={2020}
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}
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@ -1,11 +1,10 @@
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---
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---
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layout: post
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layout: post
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title: "Animals and Machines: A Misled Comparison"
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title: "On Efficiency of Animals and Machines"
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subtitle: "I find comparing animals and machines absurd"
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subtitle: "I find comparing animals and machines absurd"
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date: 2022-11-13 00:00:00
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date: 2022-11-13 00:00:00
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permalink: animals-and-machines/
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permalink: animals-and-machines/
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categories: personal, science
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categories: personal, science
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published: false
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math: true
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math: true
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author: Mahdi
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author: Mahdi
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---
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---
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@ -98,10 +97,59 @@ a good human artist, and it sure is not as efficient as a human. I think to say
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AI is smarter than humans in any subject, must take into account the efficiency
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AI is smarter than humans in any subject, must take into account the efficiency
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of the system as well.
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of the system as well.
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Moreover, Stable Diffusion is only capable of doing one thing, a very narrow and
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focused task: given text, output images. I'm not dismissing the complexity of
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this task, but it is still a narrow task. Every being's world lends it with
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innumerable affordances, and an animal surviving in the world has to be able to solve
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a lot more problems, and yet, the animal is an order of magnitude more efficient
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at using its faculties to survive. Stable Diffusion focuses on one task, and is
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extremely energy-inefficient at solving that.
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## Hummingbird
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## Hummingbird
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My favourite example when it comes to comparing animals and machines, is the
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My favourite example when it comes to comparing animals and machines, is the
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tiny hummingbird, which I think is more impressive than any machine made by
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tiny hummingbird, which I think is more impressive than any machine made by
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humans, let me explain!
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humans.
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Hummingbirds can range from as small as 5 centimeters weighing 2 grams up to 23
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centimeters and weighing 18 - 24 grams. They can flap their wings 12 times per
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second in larger species and around 80 times per second in smaller species.
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Some hummingbirds can fly up to 54 kilometers per hour in wind tunnels!
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Now these tiny little birds are experts at hovering in the air, and keeping
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their long beaks stable while sucking nectar from flowers, and when I say
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expert, I mean it! Look at this video of a hummingbird keeping itself stable
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while being blown with a 32km/h wind, and I remind you, the
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bird itself weighs only a few grams, but can hold itself stable against such
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wind!
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<iframe class="centered" width="560" height="315" src="https://www.youtube-nocookie.com/embed/JyqY64ovjfY" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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How efficient are hummingbirds? In a sense, they actually have the highest
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metabolism of any warm-blooded animal, so they end up consuming their own body
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weight in nectar every single day {% cite hummingbird %}, but on the other hand,
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if we consider human-made machines, can we build any kind of machine with our
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current understanding and technology that weighs only a few grams, can hold
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itself stable in winds as fast as 32km/h, mates with its own species to produce
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offsprings, and only consumes a few grams of flower nectar per day? I'm still
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over-simplifying the hummingbird by naming a few actions it takes, but in
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reality of course, the animal is much more complex and does a lot more than
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this.
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# Conclusion
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I think comparing such marvels of efficiency with machines is
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absurd. We don't come close to making something as efficient and intelligent as
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animals with such complexity, and our _intelligent_ tools are only intelligent in a narrow manner, all the while
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consuming energy that could feed an animal for _years_ to do what they do.
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Our current approach of computation does not seem to lend itself
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to such order-of-magnitude efficiency contrast. Moore's Law does not apply
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anymore {% cite rotman2020we %} and I don't see us improving CPU efficiency in a
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significant manner that brings us closer to biological efficiency of animal
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cognition without a breakthrough in the underlying technology and model we use
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for computation and cognition.
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# References
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{% bibliography --cited %}
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{% bibliography --cited %}
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