5 ms·

I actually completely lost interest once I found this out. Simply taking some ML course like the old Andrew Ng courses online are enough for you to get the gene

I actually completely lost interest once I found this out. Simply taking some ML course like the old Andrew Ng courses online are enough for you to get the general idea. ML is simply curve fitting. It's a applied math problem that's quite common. In fact I lost a lot of interest in intelligence in general once I realized this was all that was going on. The implications really say that all of intelligence is really some form of curve fitting. The simplest form of this is linear regression which is used to derive an equation for a line from a set of 2D points. All ML is basically a 10,000 (or much more) dimensional extension of that. The magic is lost. Most of ML research is just to find the most efficient way to find the best fitting curve given the least amount of data points. A ML guys knowledge is centered around a bunch of tricks and techniques to achieve that goal with some N-D template equation. And the general template equation is all the same: A neural network. The answer to what intelligence is seems to be quite simple and not that profound at all... which makes sense given that we're able to create things like DALL-E in such a short time frame. One of the big mysteries of the universe (intelligence) and the thing I always wondered about was essentially answered within the last 2 decades which is pretty cool.. but it's like knowing the secret behind an amazing magic trick.

sillysaurusx 4y ago
It’s the other way around. ML is cool precisely because it’s a guitar for the mind, not a mind itself. https://soundcloud.com/theshawwn/sets/ai-generated-videogame-music https://soundcloud.com/theshawwn/sets/ai-generated-videogame... I made that by using ML as a guitar. I chose instruments and style the way a guitarist’s fingers chooses frets. And saying “give me this style with these instruments” is far easier than recording it yourself. For what it’s worth, I agree with you about AGI. https://twitter.com/theshawwn/status/1446076902607888385?s=21&t=jNnLLkDl2GlWQjorNlYMBw https://twitter.com/theshawwn/status/1446076902607888385?s=2... But for me, that means it’s far more interesting than AGI. Everyone has their eye on AGI, and no one seems to be taking ML at face value. That means the first companies to do it will stand to make a fortune.
- deltaonefour 4y ago
  Why do people use analogies to prove a point? It doesn't prove anything. What was your point here? ML is like a guitar? What you said doesn't seem to contradict anything I said other then you find curve fitting interesting and I don't. Not trying to be offensive here, don't take it the wrong way. On a side note your music example also basically destroys the question of what is music? Well the answer to that question is that music is the set of all points on some sort of N-dimensional curve. The profoundness of the question is completely gone.
hackinthebochs 4y ago
Transformers aren't doing (just) curve fitting. They represent a step-change in capability.
- Der_Einzige 4y ago
  They most certainly are only doing curve fitting.
  - visarga 4y ago
    When I found out that computers are just doing elementary logical operations on 0 and 1 I lost interest. Nothing else to it. /s
    - deltaonefour 4y ago
      Bro. The basic fundamental idea of Computer logic has always been trivial even without understanding of binary. There are tons of mechanisms outside of binary that can mimic logic, there's was never anything mysterious here. Understanding boolean logic and architecture is not a far leap from an intuitive understanding of how computers work. Human thought and and human intelligence on the other hand was a great and epic concept on the scale of the origin of the universe. It was truly this mysterious epic thing that seemed like something we would never crack. ML brought it down and completely reduced this concept and simplified it by a massive scale. The entire field is now an extension of this curve fitting concept. And the disappointing thing is that the field is correct. That's all intelligence is in the end. This is all I mean. Not saying ML is less interesting or easier then any other STEM field. All I'm saying is the reduction was massive. The progress is amazing but 99% of the wonder was lost. The scale at which we lacked understanding was covered in a single step and now the average person can understand the basics easier than they can understand something like quantum mechanics. There's still a lot going on in terms of things to discover and things to engineer, but the fundamentals of what's going on are clearer than ever before. So I think what happened here is that you mistook what I wrote and took offense as if I was attacking the field, I'm not. I'm writing this to explain to you that you're mistaken. So dial your aggressive shit back. Is everyone from Romania like you? I certainly hope not.
visarga 4y ago
If you think ML is so trivial why don't you curve fit two pandas on the moon or a page of coherent text?
- deltaonefour 4y ago
  I don't think ML is trivial, I never said that. I think the intent and content of your response is trivial though.

sillysaurusx 4y ago

It’s the other way around. ML is cool precisely because it’s a guitar for the mind, not a mind itself. https://soundcloud.com/theshawwn/sets/ai-generated-videogame-music https://soundcloud.com/theshawwn/sets/ai-generated-videogame... I made that by using ML as a guitar. I chose instruments and style the way a guitarist’s fingers chooses frets. And saying “give me this style with these instruments” is far easier than recording it yourself. For what it’s worth, I agree with you about AGI. https://twitter.com/theshawwn/status/1446076902607888385?s=21&t=jNnLLkDl2GlWQjorNlYMBw https://twitter.com/theshawwn/status/1446076902607888385?s=2... But for me, that means it’s far more interesting than AGI. Everyone has their eye on AGI, and no one seems to be taking ML at face value. That means the first companies to do it will stand to make a fortune.

deltaonefour 4y ago
Why do people use analogies to prove a point? It doesn't prove anything. What was your point here? ML is like a guitar? What you said doesn't seem to contradict anything I said other then you find curve fitting interesting and I don't. Not trying to be offensive here, don't take it the wrong way. On a side note your music example also basically destroys the question of what is music? Well the answer to that question is that music is the set of all points on some sort of N-dimensional curve. The profoundness of the question is completely gone.

hackinthebochs 4y ago

Transformers aren't doing (just) curve fitting. They represent a step-change in capability.

Der_Einzige 4y ago
They most certainly are only doing curve fitting.
- visarga 4y ago
  When I found out that computers are just doing elementary logical operations on 0 and 1 I lost interest. Nothing else to it. /s
  - deltaonefour 4y ago
    Bro. The basic fundamental idea of Computer logic has always been trivial even without understanding of binary. There are tons of mechanisms outside of binary that can mimic logic, there's was never anything mysterious here. Understanding boolean logic and architecture is not a far leap from an intuitive understanding of how computers work. Human thought and and human intelligence on the other hand was a great and epic concept on the scale of the origin of the universe. It was truly this mysterious epic thing that seemed like something we would never crack. ML brought it down and completely reduced this concept and simplified it by a massive scale. The entire field is now an extension of this curve fitting concept. And the disappointing thing is that the field is correct. That's all intelligence is in the end. This is all I mean. Not saying ML is less interesting or easier then any other STEM field. All I'm saying is the reduction was massive. The progress is amazing but 99% of the wonder was lost. The scale at which we lacked understanding was covered in a single step and now the average person can understand the basics easier than they can understand something like quantum mechanics. There's still a lot going on in terms of things to discover and things to engineer, but the fundamentals of what's going on are clearer than ever before. So I think what happened here is that you mistook what I wrote and took offense as if I was attacking the field, I'm not. I'm writing this to explain to you that you're mistaken. So dial your aggressive shit back. Is everyone from Romania like you? I certainly hope not.

visarga 4y ago

If you think ML is so trivial why don't you curve fit two pandas on the moon or a page of coherent text?

deltaonefour 4y ago
I don't think ML is trivial, I never said that. I think the intent and content of your response is trivial though.