I just have to ask, will there be concepts for your "machine"? Will
there ever be milk, bread and cheese?

AT

On Sun, Jul 22, 2012 at 9:46 PM, Sergio Pissanetzky
<[email protected]> wrote:
> Anastasios,
>
> Yes, our answers differ. But this is not a surprise, at least not for me. One 
> should expect different conclusions from different theories. And it is also 
> true that a theory must be verified by comparing predictions with 
> experimental observations. One single experiment that contradicts the theory 
> can do away with the entire theory, if the experiment is properly verified 
> and reproduced.
>
> Yes, this is a revolutionary theory. But it came from a single discovery, the 
> discovery of self-organization in causal sets (more precisely in canonical 
> matrices, but they are equivalent). But no, it is not an algorithm, it is an 
> observation, experience that I gained. I did follow the usual algorithm for 
> experimental Physics, which is to pose a question and search for an answer by 
> experiment, and be capable of recognizing the answer when you see it. These 
> are my only two claims: I knew where to search, and I knew how to figure out 
> what exactly I had found once I had found it. I am nothing but an average 
> scientist.
>
> As you correctly say, discovery must be reproducible. This one is 
> reproducible, anyone can do it. There must be an independent verification, 
> preferably on a scale much larger than mine. It is real easy to do, as 
> compared for example with the monumental size of image recognition work. It 
> is not something you can do in an afternoon, of course, it requires someone 
> who will learn enough of the theory and make it run. Besides, there is only 
> one program, the one for I/O and the minimization of the functional. It is 
> the same for all problems, so it has to be written only once.
>
> I am not into proto-scientists. But the thing is, the excution time is 
> roughly constant with size IF the size does not exceed the size of the 
> hardware. For a (very) crude example, think of a neural network with 1M 
> neurons, one per each pixel in a 1M pixel camera, plus a PC to feed the data 
> into the network. The neural network (not the usual type) the only think it 
> does is to minimize the functional.
>
> An improvement on that, would be a chip with 1M microcomputers that can be 
> programmed. I think they are getting close to that. It can be done in a year 
> or so (don't believe me, I am terrible as a manager). And if done, will it 
> not attract enough attention to do the next step, say 10M, much quicker? And 
> then 100M.
>
> I am not planning on doing any of that myself. I have to continue developing 
> the theory, at least for now.
>
>
> Sergio
>
> -----Original Message-----
> From: Anastasios Tsiolakidis [mailto:[email protected]]
> Sent: Sunday, July 22, 2012 12:44 PM
> To: AGI
> Subject: Re: [agi] Re: How the Brain Works -- new H+ magazine article, by me
>
> On Sun, Jul 22, 2012 at 6:12 PM, Sergio Pissanetzky <[email protected]> 
> wrote:
>  There is no geometry,
>> addition, multiplication, axes, planes, rotations, etc. All that has
>> to be learned just like you and
>
> I have myself written a couple of paragraphs on the many possible starting 
> points of an intelligence architecture, with the most agnostic ones being 
> something akin to "total synthesis" in chemistry, for example to start from 5 
> elements and end up with complex proteins.
> The lower the starting point, the more it becomes like trying to create a 
> human being from charcoal and water. On the other hand, we do have examples 
> of humans who managed to understand our world, develop language etc, while 
> missing 99% of the datastream average people have (deaf and blind babies) - 
> their effort is very much a total synthesis, so it can be done if you have a 
> brain. Can it be done if you have a pentium? It looks like our answers differ.
>
> Of course the world does not have "geometry". Geometry is a theory that 
> helped Euclid, Archimedes and people like him to find how much paint and wood 
> they need to build a house or a boat. So interaction with the world was 
> necessary but not sufficient, otherwise my grandma would be drawing isosceles 
> triangles. But the discovery of knowledge is only verified as knowledge by 
> repetition both personally and socially, it really depends on the majority's 
> ability to follow an algorithm and reach the same results as you. Then every 
> now and then appears someone who follows the algorithm and reaches new 
> results, or who modifies the algorithm - deciding who is in error and who is 
> a revolutionary scientist is intractable, probably also random and 
> incomprehensible. Flat earth etc.
>
> I am assuming you are building a proto-scientist. There is a way to drop it 
> in the deep end of scientific endeavour: you can turn it loose on a major 
> website, ideally with a lot of non-expiring content and a lot of updates, 
> like news.bbc.co.uk . That would be the input. Sadly for output you have to 
> limit yourself to occasional "visitors comments" by your system, and see how 
> long it takes for a reasonable comment. On a Pentium LOL. Or your system may 
> end up hacking the BBC, by submitting poisoned SQL and HTTP queries and 
> controlling the free world, you never know. But can you find the "right" 
> invariants without interaction, only by observation? A bit like our friend 
> Matt wants to understand the world by compressing audio, video and text? I 
> think it can't be done, and if it can it will take an extra 2 billion years 
> (on an Itanium!).
>
> AT
>
>
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