All of sharpneli's Comments + Replies

Considering how much stuff like convays game of life which bears no resemblance to our universe is played I'd put the probability much lower.

Whenever you run anything which simulates anything turing compatible (Ok. Finite state machine is actually enough due to finite amount of information storage even in our universe) there is a chance for practically anything to happen.

but Y has solved the (interesting) problem of understanding how people write novels.

I think the whole point in AI research is to do something, not find out how humans do something. You personally might find psychology (How humans work) far more interesting than AI research (How to do things traditionally classified as 'intelligence' regardless of the actual method) but please don't generalize that notion and smack labels "uninteresting" into problems.

What's happened in AI research is that Y (which is actually AI) is too difficult, so people

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-2Blueberry
Depends on who's doing the research and why. You're right that companies that want to sell software care about solving the problem, which is why that type of approach is so common. On the other hand, I'm reluctant to call a mostly brute-forced solution "AI research", even if it's useful computer programming. No, I think you're missing my point. X is uninteresting not because it is no longer mysterious, but because it has no large-scale structure and patterns. We could consider another novel-writing program Z that writes novels in some other interesting and complicated way that's different than how humans do it, but still has a rich and detailed structure. Continuing with the flight analogy: rockets, helicopters, planes, and birds all have interesting ways of flying, whereas the "brute force" approach to flight, throwing a rock really really hard, is not that interesting. Another example: optical character recognition. One approach is to have a database of hundreds of different fonts, put a grid on each character from each font, and come up with a statistical measure that figures out how close the scanned image is to each stored character by looking at the pixels that they have in common. This works and produces useful software, but that approach doesn't actually care about the different letterforms and shapes involved with them. It doesn't recognize that structure, even though that's what the problem is about.

If something goes wrong and our learned rules and basic instincts aren't working, consciousness has to step in and try to cobble a solution together on the fly (usually badly).

Considering that we've so completely kicked ass against any other species that we haven't been even on the same playing field for thousands of years I'd say conciousness has done rather well for itself.

Ofcourse this is just in relation to other species, in absolute scale we probably are not that good.

but it just tells us that those problems are less interesting than we thought.

Extrapolating from the trend it would not suprise me greatly if we'd eventually find out that intelligence in general is not as interesting as we thought.

When something is actually understood the problem suffers from rainbow effect "Oh it's just reflected light from water droplets, how boring and not interesting at all". It becomes a common thing thus boring for some. I, for one, think go and chess are much more interesting games now that we actually know how they are played, not just how to play.

4Blueberry
My point was that go and chess are not actually understood. We don't actually know how they're played. There are hacks that allow programs to get good at those games without actually understanding the patterns involved, but recognizing the patterns involved is what humans actually find interesting about the games. To clarify, "understanding chess" is a interesting problem. It turns out that "writing a program to be very good at chess" isn't, because it can be solved by brute force in an uninteresting way. Another example: suppose computer program X and computer program Y are both capable of writing great novels, and human reviewers can't tell the difference between X's novels, Y's novels, and a human's. However, X uses statistical analysis at the word and sentence level to fill in a hard-coded "novel template," whereas Y creates characters, simulates their personality and emotions, and simulates interactions between them. Both have solved the (uninteresting) problem of writing great novels, but Y has solved the (interesting) problem of understanding how people write novels. (ETA: I suspect that program X wouldn't actually be able to write great novels, and I suspect that writing great novels is therefore actually an interesting problem, but I could be wrong. People used to think that about chess.) What's happened in AI research is that Y (which is actually AI) is too difficult, so people successfully solve problems the way program X (which is not AI) does. But don't let this confuse you into thinking that AI has been successful.

I merely wished to clarify the difference between conciousness and how it is implemented in the brain. I had no intention of implying that it was part of the discussion. On retrospect the clarification was not required.

It's just way too common for the two issues to get mixed up, as can be seen on the various threads.

Quantum computing in the brain might be happening, but if we want to understand conciousness it is irrelevant (Unless conciousness is noncomputable where it becomes a claim about quantum physics yet again). It's as relevant as details about transistors or vacuum tubes are for understanding sorting algorithms.

Naturally when considering brain prostheses or simulating a brain the actual method with which brain computes is relevant.

0whpearson
Whoever said that this conversation was about understanding consciousness? Personally I think that that topic is a tarpit, which I prefer to ignore until we know how the brain works.

It is why I am hesitant to argue that there are no quantum effects of any sort in the brain (although the quantum effects people have suggested so far haven't been convincing).

Considering that quantum physics is turing complete (unless it's nonlinear etc) any quantum effects could be reproduced with classical computation. Therefore the assumption that cognition must involve quantum effects implicitly assumes that quantum physics is nonlinear or one of the various other requirements.

In this light the first question that ought to be asked from persons cla... (read more)

0whpearson
I think the brain is probably ultimately computable by a classical computer and yet quantum computing in the brain might be significant. Here are couple of the potential problems we'll have if the brain relies on quantum effects. 1) Difficulty in replacing bits of the brain functionally. If consciousness is some strange transitory gestalt quantum field; then you would need to to make a brain prosthesis that had the same electromagnetic properties as a neuron. Which might be quite hard. 2) A harder time simulating brains/doing AI: You might have to up the date you expect Whole Brain Emulations to become available (depending upon when we expect quantum computers to be useful).

It seems I was wrong about Dennett's claims and misinterpreted the relevant sentence.

However the original question remains and can be rephrased: What predictions follow from world containing some intrinsic blueness?

The topmost cached thought I have is that this is exactly the same kind of confusion as presented in Excluding the Supernatural. Basically qualia is assumed as an ontologically basic thing, instead of neural firing pattern.

The big question is therefore (as presented in this thread already in various forms): What would you predict if you'd find yourself in a world with distinct blueness compared to a world without?

1RobinZ
Ah, I apologize - I had not realized you had the other point in your comment. That strikes me as a key angle, and one of the reasons why I upvoted ciphergoth's question.
sharpneli-30

You can do a Dennett and deny that anything is really blue.

I'd like to see what he'd do if presented with blue and a red balls and given a task: "Pick up the blue ball and you'll receive 3^^^3 dollars".

Even though many claim to be confused about these common words their actual behaviour betrays them. Which raises the question that what is the benefit of this wondering of "blueness"? What does it help anyone to actually do?

4RobinZ
I believe you are confused about what Dennett asserts. Quining Qualia would probably be the most obviously relevant essay easily located online, if you want to read him in his own words. If you don't, the key point is that Dennett maintains that qualia, as commonly described, are necessarily: 1. ineffable 2. intrinsic 3. private 4. directly or immediately apprehensible in consciousness ...and that nothing actually exists with these properties. You see blue things, but there is no pure experience of blue behind your seeing blue things. Edit: Allow me to emphasize that I do not consider the confusion to reflect poorly upon yourself - yours was a reasonable reading of Mitchell_Porter's characterization of Dennett's remarks. A better wording for the opening of my reply would be: "I think the quote doesn't reflect what Dennett believes."

As there is the 1:1 mapping between set of all reals and unit interval we can just use the unit interval and define a uniform mapping there. As whatever distribution you choose we can map it into unit interval as Pengvado said.

In case of set of all integers I'm not completely certain. But I'd look at the set of computable reals which we can use for much of mathematics. Normal calculus can be done with just computable reals (set of all numbers where there is an algorithm which provides arbitrary decimal in a finite time). So basically we have a mapping fro... (read more)

sharpneli-10

How could one assign equal weight to all possible worlds, and have the weights add up to 1?

By the same method we do calculus. Instead of sum of the possible worlds we integrate over the possible worlds (which is a infinite sum of infinitesimally small values). For explicit construction on how this is done any basic calculus book is enough.

5Wei Dai
My understanding is that it's possible to have a uniform distribution over a finite set, or an interval of the reals, but not over all integers, or all reals, which is why I said in the sentence before the one you quotes, "suppose there is one possible world for each integer in the set of all integers."

It does work, actually if we're using Integers (there are as many integers as Rationals so we don't need to care about the latter set) we get the good old discrete probability distribution where we either have finite number of possibilities or at most countable infinity of possibilities, e.g set of all Integers.

Real numbers are strictly larger set than integers, so in continuous distribution we have in a sense more possibilities than countably infinite discrete distribution.

Yvain said the finiteness well, but I think the "infinitely many possible arrangements" needs a little elaboration.

In any continuous probability distributions we have infinitely many (actually uncountably infinitely many) possibilities, and this makes the probability of any single outcome 0. Which is the reason why, in the case of continuous distributions, we talk about probability of the outcome being on a certain interval (a collection of infinitely many arrangements).

So instead of counting the individual arrangements we calculate integrals ove... (read more)

0Nick_Tarleton
Good point. Does this work over all infinite sets, though? Integers? Rationals?

Very useful considering that many variables can be approximated as a continous with a good precision.

Small nitpicking about "or any actual measurement of a continuous quantity". All actual measurements give rational numbers, therefore they are discrete.

0Cyan
I agree with you. The bolded "or" in the quoted sentence below was accidental (and is now corrected), so this misunderstanding is likely my fault. The other "or" is an inclusive or.