Life Is Made of Unfair Coin Flips
alexdanco.com
alexdanco.com
I've said before that the most plausible explanation to me for what happens after death is the end of "I," since we as "I's," necessarily cannot comprehend a state of "not-I." We can know it exists, we can experience its effects from others, and we can severely impair it with psychedelic poisons, but to decohere into a state of "!i" is, to borrow from GEB, the song that breaks the record player.
Great post. Alex Danco is consistently good.
Keep in mind that Buddhism is deeply rooted in a time when the only way to avoid suffering was to ignore all desire, because it wasn't going to be fulfilled anyway. So, if you want a primer course on Buddhism, read the "4 Noble Ways" and "The Eightfold Path" (about a 30 second read for both) - while these sounds esoteric, they basically summarize Buddhism in a very clear, concise, and logical way; which is that Buddhism is nothing by asceticism and a way to let go of wordly desires and ignore the outside world, to ease suffering.
Everything else is fluff by pseudo-intellectuals who will flood below this post.
As a side note "Altered Traits" was a useless, garbage, author-self-promotion book with no actual info, thanks for nothing HN.
What makes this book good?
Just to be clear, I am genuinely interested, but I want to know more as to why you are recommending it.
However, there are some practical advice which I found to be nicely explained,
- Book has a chapter on meditation and I think it does get to the point without fluff, for example. It talks about Samatha (such as focus on breath) and Vipassana meditation.
- Talks about some important sutras such as Kalama sutra which is all about how to live your life as a Buddhist as a layman (as opposed to a monk).
By defining an individual unit of something as information, they've taken something we only had metaphors and analogies for and concretized it as a category of things that behave like information. I've applied it to something else we only have metaphors and analogies for, and am sounding out whether it provides any additional insight.
The only part that's missing is "...with the goal of avoiding suffering".
To the parent: actually I think this "death of decoherence" pretty closely matches the Buddhist doctrine of interdependent arising, so not sure about the disagreement there.
Can't we?
Just think of nothing. Before you were born. Dreamless sleep. The gap of nothing between standing and feeling funny and waking up later on the ground that one time you passed out. That kind of thing.
To take this experiment to a conclusion which the author has “left to the reader” as all good texts do, let’s think about a virus.
A virus has information, in the form of dna or rna (I believe this is what a coronavirus uses), that it injects into a cell to then cause the cell to create more virus. The goal of this is to pass “information” to successive versions of the virus which are then programmed to do the same thing. Since they are trying to keep the same information, then they are in fact attempting to reduce entropy across time therefore they are as the author defines, an “individual”.
Would love for someone to test that logic train that I just rode
I think we can equate too much entropy with danger since cancer cells also mean mutations.
Plants convert light into chemical energy at low efficiency, the rest goes to waste heat. Animals do the same thing with chemical energy.
where you draw the system boundary matters for defining entropy changes, but long-term we're all bound to increase entropy, otherwise life (and our semi-living cousins) would be violating the laws of thermodynamics writ large.
One such idea -- Do Good Onto Others As Others Do Unto You -- is an example of an extremely powerful and resilient idea which lives and operates in the brains of billions of individuals. It is powerful enough to ward off weaker ideas and has lived a long time without much modification to its original essence.
With that out of the way... I felt it was necessary to reduce agency to ability to use internal energy in order to put oneself in a higher energy state in the external world. This can be observed externally. I am standing next to a rock. I can jump up, spending some of my energy, and fighting against the potential energy well of gravity. I've increased my external energy state at the expense of some of my internal energy. Thus, a living being needs a way to store and use energy. You can observe this externally and conclude that I am alive, while the rock is either dead or inactive.
I consider such an act of "living" motion which can take another path than that of least resistance to be a "kin". In other words, any motion which is the result of a physical calculation (Zodeaism is compatible with determinism) and leads to an increase in external energy state. A kin is any such motion, large or small.
So now the problem becomes, what is the smallest kin we've observed in nature? Single-celled bacteria can expend energy in order to move through their environment against forces like friction and gravity, but a virus "rides the waves" if you will, never expending energy for things like respiration or locomotion. Any energy which is spent internally is potential energy like chemical or gravitational, released through a physical process without need for computation. I am unaware of anything smaller than a single-celled organism which produces such kins, but that doesn't mean they aren't out there. Even ethereal life forms such as ideas can produce these kins within the bodies of countless individuals across the planet, so physically local computational circuitry isn't a hard requirement.
So, according to this framework viruses aren't alive, however we can make the case that some machines are, except the experience is incomparable because of the advanced circuitry we contain which mediates our experience through things like emotion.
What do you think of his free energy principle and related concepts?
viruses are entirely passive in their action. they're exquisitely complex structures (for what they are) existing entirely by chance that happen to have the property of self-replicating in the presence of the right cellular machinery. they don't decide to do anything, they just are, and therefore don't have agency.
I also think this is a weakness of the original article: a lot of things we probably shouldn't consider individual life forms would probably fit the definition (nations, for example).
the article seems to have sparked some good conversation, so it's been useful, if not as strong as it might be.
Much like anything under evolutionary pressure, the viruses that propagate are the ones that do manage (in their normal environment) to keep entropy across time from exploding. Are they "alive"? Meh. In combination with their environment, they act like it though.
As expected, the article does a better job in setting aside this line of reasoning[1]. What you are really measuring is how information is persisted over time, and over the "background noise" of environment. They specifically talk about viruses at a point, and the usual odd distinction of them being not quite living creatures. When they are found sitting outside their hosts, it is very hard to point out if they actually carry information over time.
[1] Disclaimer: I have just skim-read it.
There are several interviews in which he mentioned that the understanding of how the human brain works was one of his main inquiries. His work on AI and the Theseus. And the seminal paper on information theory contains a section in which a fidelity evaluation function is defined with relation to the human ear and brain.
You make it look like I am saying there is a mystical property of the human brain that backs the validity of information theory, an assertion that has no resemblance at all which what I am attempting to express, and sits in the same category the ones I am trying to debate against do.
What I am trying to say is that there is no meaning in a teleological interpretation of information theory. Things like “the purpose of living organisms is to propagate information” contradict information theory because there is no such a concept as absolute information, you always define it on mutual terms.
This is true of classical information theory, but not (as I understand it) algorithmic information theory. I think the jury is still out on whether it makes philosophical sense to generalize over universal machines like AIT does, and the practical applications compared to classical information theory seem minimal, from a layman's view it seems like it's been mathematically very fruitful.
It is a common mistake to conflate information and entropy. A bad analogy to mechanics is that the outputs of an entropy source are the frame of reference, the signal is a body and information might be whatever property you wish to analyze, such as velocity or acceleration.
I would say, first, that I need a definition for absolute information, as I have been insisting that information is defined on mutual terms. If we move past that, though, information about the spin state is unclear before measurement.
Again, this is correct for classical information theory which requires some frame of reference for "likelihood". But AIT claims a "global frame" over the minimal representation in all universal machines, the particular choice of machine being at worst constant overhead.
You can argue, I think somewhat plausibly, that this frame is still an (inter)subjective frame rather than an objective, absolute one. But if we assume C-T (and we virtually always do), that argument is pretty weak - any other definable frame becomes formally "worse" in that it becomes "merely" a specific case of the universal one.
My point is that if I ask you, “given a bit sequence A, is it an optimal program?”, your answer would probably be: “I cannot even say if this represents a computable function and, also, is it an optimal program compared to what?”. You must establish a frame of reference such as the Kolmogorov complexity of a given program.
> Kolmogorov complexity of a given program.
You seem fundamentally confused about the objects of study of information theory. They're not programs, they're e.g. strings of symbols. We measure by the information content of those strings based on likelihood / programs. Information theory asks "given some bit sequence A, how much information is in it?" not "is it an optimal program?" - instead we measure the information in it by constructing or otherwise proving facts about programs that generate or predict it. We talk about Kolmogorov complexity of strings (/ signals / states / whatever) as measured by programs, not Kolmogorov complexity of programs themselves.
Obviously programs are also themselves representable strings of symbols, and this is why we find the usual suspects of self-reference paradoxes in IT. But that doesn't mean the measure does not exist, or that it's not possible to find in lots of interesting, easily-computable cases. It's a bit like handing me a ruler and asking me how long it is - sure, if I don't trust any ruler I'll have a hard time measuring it. But I don't have to trust that specific ruler to do so, and the fact it's a device used for measuring itself is completely incidental to my measuring of it.
It is hard to argue against your slightly condescending remark if my comment is not accurate, which is still up to debate. I am sure I could not observe all due formalities even if I tried. But please understand that my comment was written taking into consideration your previous comment, by which I mean:
- You mentioned that the overall approach in Algorithmic Information Theory is to assume Church-Turing thesis as valid. My understanding is that having a standard representation of data is one among the various accidental benefits of that---raw data could pretty well be represented by a Turing machine itself, as well as any other program representation that could generate it as long as it is a computable function. Notice that, in this scenario, talking about the Kolmogorov complexity of a program is valid, as strings of raw data are also represented as programs.
- The "is it an optimal program?" question was a rhetorical device which apparently did not work well, even due to the fact that I did not define what "optimal" meant in this context---I thought it was given. But I can't understand how you came to the conclusion that I was defining the subject of study of Algorithmic Information Theory there.
As far as I know, all uses of information-theorical approaches outside of its original scope also involve a scenario where an observer is originally unable to formulate a model that allow them to draw conclusions from alleged discrepancies. This paper is just one more example of that.
This somehow reminded me of the following quote by Bertrand Russell. “Physics is mathematical not because we know so much about the physical world, but because we know so little; it is only its mathematical properties that we can discover.”
“The absence of bad luck in life is the most important thing.”
Paralleling Nassim Taleb's concept of protecting against downside tail risks is of utmost important. Are there ways to protect downside risk in the other areas of life?
A former, more judgemental version of me, used to be highly critical of illogical decisions individuals make. I tend to lack the "feeling / in the moment" aspect that a larger group of humans possess and naturally run everything through the 'thinking, logical, multiple permutation outcomes of a decision'. I used to see consistent decisions impacting people's lives as streams of "I feels" decisions that were suboptimal, and led to poor outcomes - masked as bad luck. (examples abound).
https://en.m.wikipedia.org/wiki/Philipp_Mainl%C3%A4nder (disciple advocating for suicide)
Many took their arguments to be closer to "to live is to suffer and suffering is the ultimate bad thing. You shouldn't inflict that suffering on anyone else (and maybe not even on yourself)
No wonder Nietzsche was so afraid of what schopenhaur was doing to philosophy. His work and his followers advocate for the ultimate form of life denial. Similar to jainists too.
Though, I still find Schopenhaur to be more compelling on this than anyone else...
I will say that the question of whether the living should commit suicide is rather different than whether new lives should be brought into the world. Sunk costs and all that.
We will all be dead soon enough. Not sure there's much point in speeding things up.
IOW a hard drive with information is working against entropy to keep information active through time. But that doesn't make it an individual - IOW I see how this can be used to define a singular unit, I don't see how this idea is used to delineate the 'emergence' part: What am I missing?
It seems like a message in a suitable environment can have as much agency as a virus? This is how computer viruses work.
A hard drive can work the same way; it's just a brick until someone plugs it in.
But wouldn't we reluctant to change if the only goal of individuals was to preserve/propagate information to the future? Mutations, increase entropy, yet some of them are beneficial.
How does it fit in this theory?
The dichotomy isn't so much between change vs. stability, but where change happens, and in what way.
Ok for the seasonal change, but I don't think all change is controlled the way you say. Individuals grow and adapt to their changing environment, and for this process to be optimal, entropy is necessary.
This contradict the idea that "Individuals maximally propagate information from their past to their future." which suggests that the optimal individual is fully deterministic.
So maximizing the propagation of information cannot be their only objective function. At least, this is what puzzles me.
edit: actually answer your comment
The way out of your contradiction is to realize that full determinism is likely to lead to the death of the organism, which would not maximally propagate information. One view is that organisms allow change because the environment forces it upon them; another view is that the necessity for particular types of change has shaped organisms over time, until it becomes part of their nature.
Take global warming: there are certainly a large contingent of folks who would prefer to reject change (both mentally, and in action), even at the risk of death and suffering.
> Individuals grow and adapt to their changing environment
The growth is an extremely highly choreographed process. Individuals grow and adapt in extremely specific ways compared to the space of all possible ways that they could change.
Consider the brain: a brain that is capable of learning, absorbing new lessons, and then using them when appropriate is an extremely unlikely arrangement of matter, from a thermodynamic perspective.
Another perspective that helps resolve that matter, which the article touches upon, is that individuality exists at multiple levels of organization, and in particular stability at one level implies change at another.
Brains are a way for genes to maintain a higher level of stability: the learning, growth, and adaptation happens inside the brain (and also the body), while the genes that encode the recipe for creating the brain get a measure of stability.
In the absence of brains, genes would have to change much more frequently! So brains are a mechanism by which genes channel and outsource change to a different level of organization.
Another example: reflect upon the mental process that you are currently undergoing in our conversation.
Your brain is seeking to maximize its own stability. There is a fundamental principle that it refuses to overturn: that A and ~A are incompatible, that change and not-change do not fit together.
There are two options: you can reject entirely the line of thought and dismiss it as contradictory. This would minimize change, but also leave a potential gap in your model of the world. Knowledge gaps can be threatening - in the extreme case, it can lead to death and the destruction of the brain!
Or, if you find a piece of knowledge that can resolve the contradiction, then your brain gets to keep its fundamental principle, while also having an improved mental model that can help it navigate the world and avoid destruction.
Of course, a subset of the the brain's goal is reproduction of its own genes as well as transmission of its own ideas and knowledge (something that my brain admits to doing right now!), another example of a form of change channeled to maximize stability elsewhere.
In summary, to resolve your contradiction, realize that there are multiple 'individuals', which are really composite systems, at various levels of organization, each with its own goal of self-preservation. Notice where the change happens - it usually involves change being pushed off somewhere else!
This current meme in my head very much desires change - it would like your mind to change, in order for itself to have a higher chance of survival.
If I understand your argument, one way to think of it is that if my genes allow a “little bit” of entropy now they have a better chance of lasting multiple generations, thus increasing _maximal_ information preservation over time. That is to say preserving 99% of my genes for 10,000 generations is “better” than preserving 100% of my genes for 100 generations.
The interesting ramification there then is that in this perspective the individual is the gene sequence (“my“ DNA) not the current expression of those genes (“me”).
Still too early in the morning for the full ramifications of this all to sink in with me, but definitely fascinating.
If we agree that mutations are desirable (in some cases) then this contradict the idea that individuals are only propagate the information to their future
>Individuals maximally propagate information from their past to their future.
This seems overly broad because it would also apply to some or most machines.
Note that "individual" != "alive".
https://www.quantamagazine.org/a-new-thermodynamics-theory-o...
Know the personality of the person dealing with the "unfair coin flip" and then make a suggestion - https://en.wikipedia.org/wiki/Revised_NEO_Personality_Invent...
Agreeable traitholders are more likely to "accept" unfairness.
With others anything can happen, depending on their needs, who they are surrounded by, their interests, health, financial stability etc
Nature ensures we don't have one strategy to deal with roadbumps. Which is why we survive so many.
http://www.stat.columbia.edu/~gelman/research/published/dice...
There is no individuality in information theory. There are only systems.
It's been debated whether or not there's individuality in evolutionary theory. You don't lose anything - and you may gain a lot - if you stop thinking of evolution as the survival of "fit individuals", and think of it more as the survival of complex ecosystems shaped by a blend of cooperative and competitive strategies with environmental feedback and randomness.
[1] The first example I can find is Schrodinger's book "What is Life?" published in 1944.
Survival of "fit individuals", or "fit ecosystems", or "fit companies", or "fit societies" - it's all the same thing IMO.