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We should view AI in the context of the technological revolution. You all have a good approximation of what might happen. The question is what to do. I believ

We should view AI in the context of the technological revolution. You all have a good approximation of what might happen. The question is what to do. I believe that since the population size of intelligent agents will grow exponentially fast and pretty soon, one should consider one of the following options i) Do pretty much the same as before. ii) Join a FAANG company. iii) Do PhD+ level research in ML/CS/AI. iv) Make money as fast as you can. v) Some option I didn't think about. If you pick (i), it seems likely that your kids (if any) will have no money or/and power to remain relevant. Pick (ii)+(iv) or (iii)+(iv). The latter seems preferable but it is harder.

CuriouslyC 7y ago
The thing most people don't realize is that advances in AI are going to (at least for the medium term future) produce high powered tools rather than true autonomous agents. The people who rise to the top of the new economy enabled by AI will be those that learn to take full advantage of the tools, and who have those traits that machines lack, i.e. creativity and vision.
- account73466 7y ago
  >> who have those traits that machines lack, i.e. creativity and vision I would go further and say that once machines will be able to lie better than humans, we are done. >> produce high powered tools rather than true autonomous agents including tools which will help to tell a compelling story and/or lie to people. We can see precursors of these tools appearing during the last few years.
pretendscholar 7y ago
> v) Some option I didn't think about. Always a good way to ensure you've covered everything
AndrewKemendo 7y ago
All roads lead to ii) right now
- account73466 7y ago
  (ii) sounds like a version (iii)+(iv) but it is not because you will not be truly free. If you go (iii)+(iv) via a start-up line, you will not be free either because you will have to deal with customers. Should come up with something smart and make money. Let's call "be truly smart" (what a smarter AI would do) and not just "academic smart" or "coder smart".
  - AndrewKemendo 7y ago
    The thing is, "AI" as it exists today in the form of frameworks, libraries, APIs and the data behind it all, sit firmly inside products as features. Sure you can build a platform that is focused on making those features easier to build and implement into products - and sell that as a PaaS, but at the end of the day it will go into a product that people use. Otherwise it's pure research and effectively a cost center. There is no standalone AI/ML etc... capability that makes money on it's own. It's all where it's integrated with existing consumer or enterprise products. Understanding that, whomever builds and scales product adoption, are the ones who are really controlling the direction of AI. If you look at who are building and scaling consumer and enterprise products it's really only a handful of players. So if you're a successful startup with a good product that uses AI driven features, you're either gonna get acquired or a major (FAANG etc...) will just copy and scale your product way faster than you can. So again, all roads lead to ii).
    - account73466 7y ago
      >> There is no standalone AI/ML etc... capability that makes money on it's own You can do trading, no need to have clients in that case.

CuriouslyC 7y ago

The thing most people don't realize is that advances in AI are going to (at least for the medium term future) produce high powered tools rather than true autonomous agents. The people who rise to the top of the new economy enabled by AI will be those that learn to take full advantage of the tools, and who have those traits that machines lack, i.e. creativity and vision.

account73466 7y ago
>> who have those traits that machines lack, i.e. creativity and vision I would go further and say that once machines will be able to lie better than humans, we are done. >> produce high powered tools rather than true autonomous agents including tools which will help to tell a compelling story and/or lie to people. We can see precursors of these tools appearing during the last few years.

pretendscholar 7y ago

> v) Some option I didn't think about. Always a good way to ensure you've covered everything

AndrewKemendo 7y ago

All roads lead to ii) right now

account73466 7y ago
(ii) sounds like a version (iii)+(iv) but it is not because you will not be truly free. If you go (iii)+(iv) via a start-up line, you will not be free either because you will have to deal with customers. Should come up with something smart and make money. Let's call "be truly smart" (what a smarter AI would do) and not just "academic smart" or "coder smart".
- AndrewKemendo 7y ago
  The thing is, "AI" as it exists today in the form of frameworks, libraries, APIs and the data behind it all, sit firmly inside products as features. Sure you can build a platform that is focused on making those features easier to build and implement into products - and sell that as a PaaS, but at the end of the day it will go into a product that people use. Otherwise it's pure research and effectively a cost center. There is no standalone AI/ML etc... capability that makes money on it's own. It's all where it's integrated with existing consumer or enterprise products. Understanding that, whomever builds and scales product adoption, are the ones who are really controlling the direction of AI. If you look at who are building and scaling consumer and enterprise products it's really only a handful of players. So if you're a successful startup with a good product that uses AI driven features, you're either gonna get acquired or a major (FAANG etc...) will just copy and scale your product way faster than you can. So again, all roads lead to ii).
  - account73466 7y ago
    >> There is no standalone AI/ML etc... capability that makes money on it's own You can do trading, no need to have clients in that case.