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Down_The_Rabbithole t1_itpbtuv wrote

What I meant by saying "physical navigation and manipulation of physical environments is the hardest problem to solve for" is that it won't be in the first big round of automation which is what we're now slowly starting to see happening, thus investing in those areas is premature. Kinda like investing in "palm-top" smartphones before the internet had sufficient penetration. You should invest in that area after this initial automation of digital/intellectual workers to achieve the highest financial return. Programmers, Lawyers and Pharmaceutical researchers will be replaced long before self driving is solved.

I also disagree that there is a large barrier to entry to a strong AI. There is a large initial investment to it, but after the initial investment has been done in terms of R&D, algorithms needed and hardware configuration it works on it's trivial to build. Look at current Transformer model and how newcomers quickly are able to make State of the art (SOTA) products like Stable Diffusion. This showcases that the AI makers won't be the winners here, they are like the enablers. It's not like the steam engine builders were the big winners from the industrial revolution, it was the steam engine users that generated the most value, I expect the same to happen with AI because the barriers to entry are indeed, not that high.

You make a great point towards existing businesses having "sticky" practices with margins priced in which is ripe for disruption. But in that case the businesses best to invest into don't exist yet as they will be startups, which wasn't the question at hand, the question was which companies should you invest in now.

Due to my assumptions listed above I think the worst financial mistake to make is to invest in companies that are actually building the AI systems as they are investing R&D into something that once completed has extremely low barrier to entry and it would render their own core business obsolete. Which is why I think it's unwise to invest in something like Alphabet.

I also think it's counter-productive to invest into companies that has a too long-term vision and won't benefit from the short term automation of intellectual and digital workers like Tesla. They invest in what is probably the 2nd or 3rd wave of automation after intellectual workers are already gone; Navigational and physical manipulation. I would hold off on investing in Tesla and use your capital to benefit from current capabilities which are large transformer model AI that can disrupt intellectual workers. The return horizon on self-driving cars and robot workers is just too long to be worth the investment in 2022.

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Talkat t1_itskboa wrote

Thank you for your response.

I particularly agree with your point that once we hit an AI milestone it is easy for others.

Do you think it will be easy for a large amount of AI companies or will it be limited to a handful? Like can a startup come in and be a year behind an industry leader or is it reserved to ~10 AI leaders?

100÷ agree the best return will be startups. Perhaps it will be those who can utilize AI to replace traditionally labor heavy industries.

In that circumstance, do AI startups (eventually) compete with each other and drive the price down?

I also agree with the premise that you don't want to invest in companies with a long term vision(or more importantly, launch date). However I think our estimated date for self driving is very different. I think there is a small chance Tesla will get self driving in 2 years, and a very good chance of 3-4 and certainly by 5.

So on the assumption that the barriers to entry are low to advanced AI, then the real winners may be those you can buy assets that produce a physical product (which will always be limited unlike AI) which they can then automate and lower the operating cost. I'm thinking primarily physical assets in this example.

For digital assets then it is almost a certainty that a startup is a far more effective manner to compete.

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