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Interview with Mark Cuban on AI, Silicon Valley, Politics, Media and more

44 points by espeed 10y ago

gydfi 10y ago
Note: article doesn't actually say why he thinks this, only that he said it, so the comment is really just "next big thing is big".
dovdovdov 10y ago
Dumb, thin front-end FTW! :)
a_humean 10y ago
Previous: https://news.ycombinator.com/item?id=13599074 https://news.ycombinator.com/item?id=13599074
greenleafjacob 10y ago
> He thinks even programming is vulnerable to being automated and reducing the number of available programming jobs. Hmm... Where have I heard this before? > It is far more likely that the programming occupation will become extinct (through the further development of self-programming techniques) [...] More and more, computers will program themselves; and direction will be given to computers through the mediation of compiling systems that will be completely neutral so far as the content of the decision rules is concerned. (Herbert Simon, 1961) [1] [1] https://www.princeton.edu/~hos/Mahoney/articles/miscellany/ieeetalk.html https://www.princeton.edu/~hos/Mahoney/articles/miscellany/i...
- djaychela 10y ago
  While such predictions may have been made before, surely as circumstances change it becomes more likely for it to be possible? If you go back 20 years or so, I can remember people confidently predicting that it would be impossible for computers to have human-like vision, and that it was an 'impossible' problem. And look where we are now. I think it's often difficult to appreciate that one's own profession could be replaced by some code, but it's an issue that many areas of the working population will have to deal with in our (and our children's) lifetimes - what has happened with physical work - automation such as robots and machines will happen with the work we do with our minds in many cases.
  - alecmuffett 10y ago
    I get what you're saying, but it's an "all food will be cooked by machines"* argument; yes there are robochefs which can produce doughnuts, noodles, pizzas, etc; but there's an ever-expanding area of innovation and niche-filling that humans are really good at. Ask any Michelin-starred chef, or freelance software engineer. Software engineering is not a zero-sum game where the AIs rise to the exclusion of humans - it's an expanding space. *and then there's the meta: does using an oven qualify as cooked-by-machine?
  - pjc50 10y ago
    Computers don't have general human-level vision, but they can now do certain tasks acceptably well (classification, tracking, SLAM, facial biometrics). The general task of "what's in this image and what does it mean" is still handled pretty badly. We still need manual image moderators, for example, although that's undoubtedly being worked on. The history of what used to be called "CASE" is absolutely full of people promising tools that would automate parts of programming that fail to deliver. The difficult (or at least most time-consuming) parts of programming are all to do with meaning, intent, purpose, communication, and prioritisation. What is likely is that "code assistants" will gradually improve, both in the form of language constraints (Rust borrow checker) and IDE advice (Visual Studio's endless tooltips).
    - 60654 10y ago
      Yup, we're riding a wave of improvements in classification and function approximation, which is very exciting. But it makes outsiders think this is all that there is to AI. Meanwhile anything that has to do with the semantics and meaning is a much harder, much longer term problem. And one that's very different from the current fixation on ml.
  - simias 10y ago
    The way I see it if we manage to reach a level of AI strong enough to replace software engineers it means that basically anything can be automated. It's not just the end of programming, it's basically the end of jobs altogether. The consequences will be tremendous for humanity as a whole. So I'm not really selfishly worried about this. We'll go eventually, but we'll probably be amongst the last to go. By then society will have to figure out how to deal with mass unemployment, it's already a massive issue today and it's not going to improve any time soon.
- splike 10y ago
  I don't believe programmers will be completely replaced by AI for a very very long time. Suppose such an AI exists, one that can write perfect code and get the job done. How do you tell the AI what to code? Any language specific and accurate enough to tell the AI what to code, is in itself a programming language. Someone needs to write in that language, and that person is a programmer. All the AI does is make for a better compiler. Programmers will be (and already are) augmented by technology and AI, but someone has to tell the computer what the goal is.
  - baddox 10y ago
    How does a programmer at a company know what to code? Generally they're given instructions in a human language. An AI replacement for human coders would likely have to do that same, which likely means you need something very close to a strong AI. And a strong AI by definition can replace nearly every human job.
    - splike 10y ago
      Yes I completely agree. People aren't told what to code, they're told what products to build. To go between those two things surely requires an almost general AI. Btw, very tangentially, did you used to work in a startup with a certain zap to its name? I recognise your handle :)
      - baddox 10y ago
        Tangentially yes.
  - jobigoud 10y ago
    It's speculative at this time so I can tell my point of view: you tell it in English. Sometimes it's going to ask for clarifications, other times it's going to get it slightly wrong, or it will have to fill in the missing parts of the specs and take micro-decisions. Just like a human programmer would. I don't think it will write "perfect code" whatever that means. It will write code with its own idiosyncrasies its own writing style, etc.
- fmap 10y ago
  "Reducing the number of available jobs" is a very reasonable statement. How much time do you spend gluing together ready made components? How different is the latest CRUD app you wrote from the first one you wrote? That's definitely something that could be automated, and it doesn't need "machine learning"... It needs investment in building new infrastructure, which almost nobody invests in because it's difficult to make money from that. On the other hand, automating all of programming is a pipe dream. If you could do that, you could also automate mathematics and by extension most of the sciences...
  - erelde 10y ago
    Honest question to logicians: Is there any proof that it [automating programming, mathematics, scientific method] is or isn't possible? Is there a way to prove or disprove it mathematically?
    - fmap 10y ago
      Anything that humans can do is a priori possible. :) It is merely unlikely to happen while there is anything else left which we can't automate...
    - throwaway729 10y ago
      > Is there any proof that it [automating programming, mathematics, scientific method] is or isn't possible? Decidability results can be useful, but note that it's certainly possible to do automated reasoning for undecidable theories. So decidability results are more useful for predicting the difficulty and determining appropriate approaches than for actually determining anything about the possibility of creating a useful system. E.g. the halting problem is famously undecidable, but there's lot of impressive work on termination checking. Misinterpreting undecidable problems as "impossible problems" is a classic undergrad mistake. > Is there a way to prove or disprove it mathematically? No, not really, unless you can be very specific about the exact subproblem you're interested in. And even then, probably not.
      - erelde 10y ago
- throwaway729 10y ago
  One way to think about this: Simon was right. There are very few people today programming computers at the level at which Simon programmed them in 1961. After all, FORTRAN was an automatic coding system because of its super high level of abstraction! In this sense -- when Simon's words are taken in their accurate historical context -- Simon was spot-on about self-programming (aka compilers for high level languages mostly replacing hoardes of assembly wranglers). It's just that now the word "self-programming" means something different because we've used all that automation to build ever more complex systems. And that process will continue. Level of abstraction is increased, we figure out how to automate at that level, and then we raise the bar again to tackle ever more challenging problems.
dandermotj 10y ago
Mark Cuban is talking about it - maximal hype has been reached.
- entelechy 10y ago
  Just a matter of time until only Dinosaurs will remember what AI was ;P
e2e4 10y ago
Interesting part of the article is also "Mark also pointed out that the number of investments he personally makes in San Francisco has dropped by 90%. "
some1else 10y ago
Once a fair number of hackers become dinosaurs, working from home might become the new norm.
kapauldo 10y ago
Mark cuban cares about mark cuban. Suster should get qualified opinions on the matter.
jokoon 10y ago
To be honest it smells like AI has become something you just talk about because you have something to sell. It was called web 2.0, then big data, and now it's AI.
- minimaxir 10y ago
  I wrote a rant last post (https://news.ycombinator.com/item?id=13599465 https://news.ycombinator.com/item?id=13599465) about how AI is being oversold. The problem in this case (along with buzzwords like Web 2.0/big data) is that there is some logical advantage to implementing AI/Web 2.0/big data for a business, just not a change-the-world advantage that will not help if everything else is being done incorrectly. There is a gray area in between the marketing, and the ambiguity is the real danger.
  - jokoon 10y ago
    I don't see any danger with AI, I'm optimist that it will introduce great changes. I'm just bothered by the whole market tendencies, it often sounds like it's appealing to salesmen, meanwhile doing real stuff with machine learning is tough and it is often the realm of research and universities.
6d6b73 10y ago
In reality programming is already fully automated :) Translation to machine code is done in most cases automatically. We just tell the compiler what we want the program to do. Honestly, if we treated software engineering as a real engineering discipline, we would already have 90% of software created automatically. We just keep ourselves busy by building same CRUD apps, recreating same layouts, building same libraries over and over again. When we start treating software engineering as engineering not as art, full automation of programming will be a matter of only few years.
elcapitan 10y ago
I know that there's an infinite amount of AI/ML books and courses, but does somebody know a good high-level overview of how ML-based solutions can be introduced to replace existing imperative/OO code bases, and how to think about this? That would be a good starting point to avoid the "dinosaur" scenario, without starting from scratch on sample projects that are unrelated to your current work.

44 points by espeed 10y ago

gydfi 10y ago

Note: article doesn't actually say why he thinks this, only that he said it, so the comment is really just "next big thing is big".

dovdovdov 10y ago

Dumb, thin front-end FTW! :)

a_humean 10y ago

Previous: https://news.ycombinator.com/item?id=13599074 https://news.ycombinator.com/item?id=13599074

greenleafjacob 10y ago

> He thinks even programming is vulnerable to being automated and reducing the number of available programming jobs. Hmm... Where have I heard this before? > It is far more likely that the programming occupation will become extinct (through the further development of self-programming techniques) [...] More and more, computers will program themselves; and direction will be given to computers through the mediation of compiling systems that will be completely neutral so far as the content of the decision rules is concerned. (Herbert Simon, 1961) [1] [1] https://www.princeton.edu/~hos/Mahoney/articles/miscellany/ieeetalk.html https://www.princeton.edu/~hos/Mahoney/articles/miscellany/i...

djaychela 10y ago
While such predictions may have been made before, surely as circumstances change it becomes more likely for it to be possible? If you go back 20 years or so, I can remember people confidently predicting that it would be impossible for computers to have human-like vision, and that it was an 'impossible' problem. And look where we are now. I think it's often difficult to appreciate that one's own profession could be replaced by some code, but it's an issue that many areas of the working population will have to deal with in our (and our children's) lifetimes - what has happened with physical work - automation such as robots and machines will happen with the work we do with our minds in many cases.
- alecmuffett 10y ago
  I get what you're saying, but it's an "all food will be cooked by machines"* argument; yes there are robochefs which can produce doughnuts, noodles, pizzas, etc; but there's an ever-expanding area of innovation and niche-filling that humans are really good at. Ask any Michelin-starred chef, or freelance software engineer. Software engineering is not a zero-sum game where the AIs rise to the exclusion of humans - it's an expanding space. *and then there's the meta: does using an oven qualify as cooked-by-machine?
- pjc50 10y ago
  Computers don't have general human-level vision, but they can now do certain tasks acceptably well (classification, tracking, SLAM, facial biometrics). The general task of "what's in this image and what does it mean" is still handled pretty badly. We still need manual image moderators, for example, although that's undoubtedly being worked on. The history of what used to be called "CASE" is absolutely full of people promising tools that would automate parts of programming that fail to deliver. The difficult (or at least most time-consuming) parts of programming are all to do with meaning, intent, purpose, communication, and prioritisation. What is likely is that "code assistants" will gradually improve, both in the form of language constraints (Rust borrow checker) and IDE advice (Visual Studio's endless tooltips).
  - 60654 10y ago
    Yup, we're riding a wave of improvements in classification and function approximation, which is very exciting. But it makes outsiders think this is all that there is to AI. Meanwhile anything that has to do with the semantics and meaning is a much harder, much longer term problem. And one that's very different from the current fixation on ml.
- simias 10y ago
  The way I see it if we manage to reach a level of AI strong enough to replace software engineers it means that basically anything can be automated. It's not just the end of programming, it's basically the end of jobs altogether. The consequences will be tremendous for humanity as a whole. So I'm not really selfishly worried about this. We'll go eventually, but we'll probably be amongst the last to go. By then society will have to figure out how to deal with mass unemployment, it's already a massive issue today and it's not going to improve any time soon.
splike 10y ago
I don't believe programmers will be completely replaced by AI for a very very long time. Suppose such an AI exists, one that can write perfect code and get the job done. How do you tell the AI what to code? Any language specific and accurate enough to tell the AI what to code, is in itself a programming language. Someone needs to write in that language, and that person is a programmer. All the AI does is make for a better compiler. Programmers will be (and already are) augmented by technology and AI, but someone has to tell the computer what the goal is.
- baddox 10y ago
  How does a programmer at a company know what to code? Generally they're given instructions in a human language. An AI replacement for human coders would likely have to do that same, which likely means you need something very close to a strong AI. And a strong AI by definition can replace nearly every human job.
  - splike 10y ago
    Yes I completely agree. People aren't told what to code, they're told what products to build. To go between those two things surely requires an almost general AI. Btw, very tangentially, did you used to work in a startup with a certain zap to its name? I recognise your handle :)
    - baddox 10y ago
      Tangentially yes.
- jobigoud 10y ago
  It's speculative at this time so I can tell my point of view: you tell it in English. Sometimes it's going to ask for clarifications, other times it's going to get it slightly wrong, or it will have to fill in the missing parts of the specs and take micro-decisions. Just like a human programmer would. I don't think it will write "perfect code" whatever that means. It will write code with its own idiosyncrasies its own writing style, etc.
fmap 10y ago
"Reducing the number of available jobs" is a very reasonable statement. How much time do you spend gluing together ready made components? How different is the latest CRUD app you wrote from the first one you wrote? That's definitely something that could be automated, and it doesn't need "machine learning"... It needs investment in building new infrastructure, which almost nobody invests in because it's difficult to make money from that. On the other hand, automating all of programming is a pipe dream. If you could do that, you could also automate mathematics and by extension most of the sciences...
- erelde 10y ago
  Honest question to logicians: Is there any proof that it [automating programming, mathematics, scientific method] is or isn't possible? Is there a way to prove or disprove it mathematically?
  - fmap 10y ago
    Anything that humans can do is a priori possible. :) It is merely unlikely to happen while there is anything else left which we can't automate...
  - throwaway729 10y ago
    > Is there any proof that it [automating programming, mathematics, scientific method] is or isn't possible? Decidability results can be useful, but note that it's certainly possible to do automated reasoning for undecidable theories. So decidability results are more useful for predicting the difficulty and determining appropriate approaches than for actually determining anything about the possibility of creating a useful system. E.g. the halting problem is famously undecidable, but there's lot of impressive work on termination checking. Misinterpreting undecidable problems as "impossible problems" is a classic undergrad mistake. > Is there a way to prove or disprove it mathematically? No, not really, unless you can be very specific about the exact subproblem you're interested in. And even then, probably not.
    - erelde 10y ago
throwaway729 10y ago
One way to think about this: Simon was right. There are very few people today programming computers at the level at which Simon programmed them in 1961. After all, FORTRAN was an automatic coding system because of its super high level of abstraction! In this sense -- when Simon's words are taken in their accurate historical context -- Simon was spot-on about self-programming (aka compilers for high level languages mostly replacing hoardes of assembly wranglers). It's just that now the word "self-programming" means something different because we've used all that automation to build ever more complex systems. And that process will continue. Level of abstraction is increased, we figure out how to automate at that level, and then we raise the bar again to tackle ever more challenging problems.

dandermotj 10y ago

Mark Cuban is talking about it - maximal hype has been reached.

entelechy 10y ago
Just a matter of time until only Dinosaurs will remember what AI was ;P

e2e4 10y ago

Interesting part of the article is also "Mark also pointed out that the number of investments he personally makes in San Francisco has dropped by 90%. "

some1else 10y ago

Once a fair number of hackers become dinosaurs, working from home might become the new norm.

kapauldo 10y ago

Mark cuban cares about mark cuban. Suster should get qualified opinions on the matter.

jokoon 10y ago

To be honest it smells like AI has become something you just talk about because you have something to sell. It was called web 2.0, then big data, and now it's AI.

minimaxir 10y ago
I wrote a rant last post (https://news.ycombinator.com/item?id=13599465 https://news.ycombinator.com/item?id=13599465) about how AI is being oversold. The problem in this case (along with buzzwords like Web 2.0/big data) is that there is some logical advantage to implementing AI/Web 2.0/big data for a business, just not a change-the-world advantage that will not help if everything else is being done incorrectly. There is a gray area in between the marketing, and the ambiguity is the real danger.
- jokoon 10y ago
  I don't see any danger with AI, I'm optimist that it will introduce great changes. I'm just bothered by the whole market tendencies, it often sounds like it's appealing to salesmen, meanwhile doing real stuff with machine learning is tough and it is often the realm of research and universities.

6d6b73 10y ago

In reality programming is already fully automated :) Translation to machine code is done in most cases automatically. We just tell the compiler what we want the program to do. Honestly, if we treated software engineering as a real engineering discipline, we would already have 90% of software created automatically. We just keep ourselves busy by building same CRUD apps, recreating same layouts, building same libraries over and over again. When we start treating software engineering as engineering not as art, full automation of programming will be a matter of only few years.

elcapitan 10y ago

I know that there's an infinite amount of AI/ML books and courses, but does somebody know a good high-level overview of how ML-based solutions can be introduced to replace existing imperative/OO code bases, and how to think about this? That would be a good starting point to avoid the "dinosaur" scenario, without starting from scratch on sample projects that are unrelated to your current work.