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How to fit any dataset with a single parameter

arxiv.org

111–120 of 155 posts

Re: How to fit any dataset with a single parameter

#111
post #98

Earlier quoted context omitted.

> It's difficult to even imagine a physical theory with unbounded local information. It seems to open the possibility to crazy things like hypercomputation, which do not seem very well defined. (For example: every 1-1/n seconds, (n>1) from now, flip a switch ON/OFF. At what state will the switch be at t>1s? An at exactly t=1s?) I agree with the latter, but the former? Classical Newtonian mechanics is easy enough to i…

Chaos arises in very simple (Newtonian) systems, e.g. the double pendulum[1]. 1. https://en.m.wikipedia.org/wiki/Double_pendulum

Yes, Chaos arises in Newtonian systems just fine. They are non-linear. But Quantum Mechanics is linear.

See eg https://physics.stackexchange.com/questions/33344/is-the-uni... for a discussion, and https://www.scottaaronson.com/papers/island.pdf for a longer treatment.

Re: How to fit any dataset with a single parameter

#112
post #111

Earlier quoted context omitted.

Chaos arises in very simple (Newtonian) systems, e.g. the double pendulum[1]. 1. https://en.m.wikipedia.org/wiki/Double_pendulum

Yes, Chaos arises in Newtonian systems just fine. They are non-linear. But Quantum Mechanics is linear. See eg https://physics.stackexchange.com/questions/33344/is-the-uni... for a discussion, and https://www.scottaaronson.com/papers/island.pdf for a longer treatment.

QM being linear doesn't make the universe linear. Schrodinger's equation doesn't work across measurements (or universes.) And if you try to weasel out of that by saying we will describe the multiverse instead, you have just created the unexplainable phenomena of being in a specific universe, with no way to accurately describe the process behind the random choice of the universe you reside in.

Re: How to fit any dataset with a single parameter

#113

This reminds me of the "worst way to ask a user for a telephone number" UI, after one UI forced the user to select each digit in a 0-9 dropdown. The specific one I'm thinking of is just spit out a scrollable numeric string of Pi, and make the user scroll until their phone number was the digits of Pi that matched it. My (7 digit) phone number occurs after digit position 9_000_000, and occurs 21 times in the first 200_…

https://uxdesign.cc/the-worst-volume-control-ui-in-the-world...

Re: How to fit any dataset with a single parameter

#114
post #17

This reminds me of a joke idea I read somewhere: You can encode the entire Encyclopaedia Britannica using a single mark on a simple stick! Just encode the text as a ascii codes after the decimal dot of a zero. (0.656168.. etc). Then just mark that ratio of the sticks length and you're done...

how big of a stick are we talking about here ?

Re: How to fit any dataset with a single parameter

#115
post #91

I love this as a verifiable implementation of a mathematically trivial, but easy to forget point. So I'm sad that when I tried to recreate the elephant scatter plot, I haven't been able to. Anyone find exact parameters that work for tau and alpha? Just wish they'd given a complete list of the decimal places for those animals. It would've been something to plot them yourself.

In the paper you find a link to a GitHub repo that should have all results being reproducible

Re: How to fit any dataset with a single parameter

#116
post #91

I love this as a verifiable implementation of a mathematically trivial, but easy to forget point. So I'm sad that when I tried to recreate the elephant scatter plot, I haven't been able to. Anyone find exact parameters that work for tau and alpha? Just wish they'd given a complete list of the decimal places for those animals. It would've been something to plot them yourself.

In the paper you find a link to a GitHub repo that should have all results being reproducible

And here is the relevant notebook for animal shapes: https://github.com/Ranlot/single-parameter-fit/blob/a065af75...

Re: How to fit any dataset with a single parameter

#117

Earlier quoted context omitted.

I don't see this as a joke, but a radical and important point. Reality, in being geometrical, is infinitely informationally dense (with a discrete conception of information). This distinction between geometrical space and time, and discrete algorithmic computability is unbridgeable. And hence there is an extemely firm footing on which to reject: AI, brain scanning readers, teleporters, etc and most sci-fi computation…

I wouldn't say that the distinction is "unbridgeable". Keep in mind that we send packets over plenty of "geometrical" and seemingly infinitely dense analog channels all the time, like electricity over a copper wire or EM waves over the air. The "mark on a stick" channel has a capacity like any other channel. If you're sending just one symbol, you could easily calculate the information capacity given a desired probabi…

The gentleman is not suggesting that quantized information cannot be fully represented in a continuous function, but the opposite. That the continuous functions of life (his muscle example) and consciousness (AI example) cannot be simulated in any meaningful way by a discrete nomenclature or algorithm. The idea is impossible by definition and can be dismissed immediately.

Re: How to fit any dataset with a single parameter

#118

Earlier quoted context omitted.

I don't see this as a joke, but a radical and important point. Reality, in being geometrical, is infinitely informationally dense (with a discrete conception of information). This distinction between geometrical space and time, and discrete algorithmic computability is unbridgeable. And hence there is an extemely firm footing on which to reject: AI, brain scanning readers, teleporters, etc and most sci-fi computation…

>infinitely informationally dense That can't possibly be true, because then there would be no point to space and time. If a single location could hold an infinite amount of information, then the rest of reality would be redundant. >hence there is an extemely firm footing on which to reject [the Matrix] This seems to be the opposite of the conclusion that your premise implies. I'm the one that doesn't believe in matry…

Space time is something that appears to you, the obsever, and only to you. There is no universal shared perception of anything or any event and therfore no common "reality" to try and suss out.

It is quite likely (rather obvious, really) that what we call reality is continuous in design, infinite in abstractions, relationships, and descriptions, yet at the same time cohesive in a single entity.

Those type of systems are not representable in computers.

Re: How to fit any dataset with a single parameter

#119
post #94

Earlier quoted context omitted.

I think for my purposes defining continuous = unmeasurably discrete produces the same results. Ie., there is an irreducible geometrical continuity in the sense that no discontinuity can ever appear. The state density is maximal. via this route we reporduce the same point: computationalism/simulation'ism' is then just the thesis that computers qua measurably discrete systems can realise dense unmeasurable discrete sys…

I agree that we can’t reject the hypothesis that reality is continuous (and, even if spacetime turns out to be discrete, it seems hard to imagine that the amplitudes of the wavefunction(s) have finitely many possible complex values, though I suppose we can’t rule it out) I disagree that this necessarily implies any difficulty for the possibility of brain scanning and AI. Just as things sampled faster than the nyquist…

Argument:

1) Intelligence requires being spatiotemproally acting-on and being acted-on by a spatiotemporally dynamic environment.

2) Dynamical spa'temp properties of the body enable (1)

3) These properties are continuous features of the bodily (eg., organic plasticity)

4) continuous properties are irreducible to measurably discrete ones

5) computers are systems which we build that have measurably discrete systems

therefore,

C) computers cannot be intelligent

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