Could you pull out the specific list of ATCG and make a brain
https://www.inf.fu-berlin.de/inst/ag-ki/rojas_home/documents...
"However, we should be careful with the metaphors and paradigms commonly introduced when dealing with the nervous system. It seems to be a constant in the history of science that the brain has always been compared to the most complicated contemporary artifact produced by human industry [297]. In ancient times the brain was compared to a pneumatic machine, in the Renaissance to a clockwork, and at the end of the last century to the telephone network. There are some today who consider computers the paradigm par excellence of a nervous system. It is rather paradoxical that when John von Neumann wrote his classical description of future universal computers, he tried to choose terms that would describe computers in terms of brains, not brains in terms of computers."
I have no idea what the submitted MIT article is trying to say. Does the MIT article try to make the point that neural networks can be used for computation given ridiculous amounts of memory? They can, but that still does not explain real intelligence. Otherwise, the article makes the same mistakes as pointed out in the above quote.
I'm not expert to judge the result of "drawing a missing hand by using neural network on each pixels"(if it's what it's done? Again not an expert).
So asking if life is a computation seems mostly like a semantic musing. Define "life" and define "computation", then see if they're the same.
And the flux of geothermal and chemical energy
Or do you mean that optimization by definition must include intent, and evolution as a mindless process has no intentionality?
I'm just not sure what you're driving at.
Nothing about life is discussed here, it's not even defined once.
There is no optimization, if organisms can reproduce, they'll continue to exist. That does not mean they are the "best adapted" or on a trajectory toward better adaptation.
It's entirely possible for a germ line to become less fit over time, even to the point of extinction, and that's still evolution. Time has shown that is the case for most germ lines.
"It's not even wrong" - Pauli
[1] https://plato.stanford.edu/entries/computational-mind/#GodIn...
It’s likely if different life forms on another planet, it will have a different “computation” model because its defined by different physics that it experiences during evolution. Though I suppose there will some similarities depending on some fundamental rules of the universe. Will propagation molecules like RNA or DNA always look like helixes, or will the radiation or physics of another planet create another form of propagation molecule we haven’t yet observed. Might make for an interesting experiment to simulate.
Computation really is a fancy word for calculation. What matters about computation is that its teleological. Computers are physical systems designed towards a particular end. A computer is, physically, no different than any other system. What differentiates it is that it's designed and we're interpreting its behaviour in a particular way.
Unless you're trying to make a grand theological argument in which "life" is taken to be some Hitchhikers Guide-like machination towards some end, it's not a computation. Life doesn't compute anything, the same way a falling pen doesn't compute gravity unless in a metaphorical sense.
The article is a pretty good example honestly of the problems of taking metaphors literally, common in the AI space where the author hails from. A similar case "artificial neurons" which are really metaphorical neurons. You have to be particularly careful when making comparisons between intentionally designed technological artifacts and biological and physical processes.
In that sense life is obviously not a computation: it makes some sense to view DNA as symbolic but it is misleading to do the same for the proteins they encode. These proteins are solving physical problems, not expressing symbolic solutions to symbolic problems - a wrench is not a symbolic solution to the problem of a symbolic lug nut. From this POV the analogy of DNA to computer program is just wrong: they are both analogous to blueprints, but not particularly analogous to each other. We should insist that DNA is no more "computational" than the rules that dictate how elements are formed from subatomic particles.
[1] Turing computability, lambda definability, primitive recursion, whatever.
A physical computer is still a computer, no matter what it's computing. The only use a computer has to us is to compute things relative to physical reality, so a physical computer seems even closer to a "real computer" or "real computation" to me than our sad little hot rocks, which can barely simulate anything real to any degree of accuracy, when compared to reality.
There are quite a number of people who believe this is the universe. Namely, that the universe is the manifestation of all rule sets on all inputs at all points in time. How you extract quantum mechanics out of that... not so sure
Life is truly weird sometimes
Enzymes in particular are a lot like unix pipelines. An enzyme catalyzes its substrate's conversion into its product which is the substrate of another enzyme. When cells ingest glucose, it flows through the glycolysis metabolic pathway until it becomes pyruvate, and may be reduced even further depending on available resources. It's a huge pipeline of enzymes. They just kinda float around within the cell and randomly perform their tasks when their substrates chemically interact with them. No explicit program exists, it emerges from the system within the cell.
Cell - Computer
Enzyme - Function / Process / Filter
Substrate - Data
Product - Data
Metabolic pathway - Program / Script
I've been playing in my mind with an idea for an esoteric programming language modeled around enzymes. The program defines a set of enzymes which are functions that match on the structure of data, automatically apply themselves to them and produce a modified version of the input which may in turn match against other enzymes. The resulting program metabolizes input by looping over the set of enzymes and continuously matching and applying them until the data is reduced to its final form. If no enzymes match, the output is the unmodified input.Abstractions don't really exist, they're a product of the human mind, but then we apply them to nature. Calling DNA code, comparing NNs and the brain, etc. But those abstractions fall apart when you look a little too deeply at what actually happens in nature.
Is DNA code? Or is it more like a machine? Is it neither, or is it something embedded in such a complex space that our simple abstractions can't capture the full nature of its being?
When you look at the nature of DNA, it does more than simply act as code. It can edit and self-modify, self-assemble, self-replicate, it can turn genes on and off, it can perform what can be argued as computations itself. If you limit yourself to thinking of it as code, you might miss crucial ways it exists/performs in real life.
> It can edit and self-modify, self-assemble, self-replicate, it can turn genes on and off
Unless my knowledge of biology is very outdated or incomplete, all of those things you cited are done to DNA. They don't happen spontaneously.
DNA doesn't self-replicate, a whole bunch of enzymes come and actively copy it. Genes don't spontaneously turn on and off, some enzyme comes and attaches or removes a methyl group. DNA doesn't self-assemble, it is actively coiled around histones to form nucleosomes. Bacteria have a huge variety of enzymes for manipulating native and foreign DNA, they have their own CRISPR mechanisms.
Some prefer GUI
It's a shame because there *has* been a lot of deep work done on what kind of computer life is. People often use the Chomsky Hierarchy (https://en.wikipedia.org/wiki/Chomsky_hierarchy) to define the different types of computer vs automata. Importantly, a classical Turing machine is Type-0 on the Chomsky Hierarchy. Depending on what parts you include from a biological system, you could argue it's anywhere from Type-0 to Type-4.
Interestingly, the PhD thesis of well-known geneticist Aviv Regev was to show that certain combinations of enzymes with chemical concentration states are enough to emulate pi-calculus, and therefore are Turing machines! https://psb.stanford.edu/psb-online/proceedings/psb01/regev....
ge96•2h ago