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jawfish2 t1_isqm2tl wrote

Some counters to your futurism:

  • I am old, like really old, so I heard this in the 1980's. That has led to some skepticism.
  • I have said things like this to friends in the 2010's. oops.
  • I think you over-estimate the technical definitions of most non-service jobs. Most jobs are about meetings, paperwork, and a lot of stuff that's hard to quantify. It is not that people are such geniuses, it's that social connections are important at work. Thats one reason management is leery of remote work.
  • Successful machine learning projects have well-defined answers and can be tested with automation. Exceptions- writing and graphics. Most problems do not have answers.
  • Simple robots like pizza makers and french-fry bots are just getting cost-effective.
  • By definition, successful publicized AI projects are cherry-picking problems well suited to machine learning. The glaring exception is self-driving: well-publicized and behind schedule.
  • Writing code: again, played with so-called 4th gen code generators around the year 2000. They went nowhere ( I did get a great job though). I think defining what you want in software is best done with code itself. It can't be done with abstract, simple text statements. It is the only way to be specific enough. OTOH most software projects fail, and faulty requirements are a big part of that, so maybe hit-or-miss code generators might do as well? /s

However,

Translation, search, speech, math, Go, protein folding, graphics, text generation etc etc are triumphs of engineering and I look forward to new stuff.

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GenoHuman t1_isrq398 wrote

Okay but what if I could use a neural network from home that allow me to write any software I desire, why would I want to hire other people at that point? All I need is a cup of coffee and a NN to do the hard work for me.

Meetings, paperwork etc are inefficient, you want to remove those components.

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Relative_Purple3952 t1_isrzk9f wrote

Which isn't how the real world works...for whom are you gonna write your automated gitpilot code then and how do you even know what function your code should fulfil? There will always be meetings and legal and regulatory paperwork you have to deal with.

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GenoHuman t1_iss3wrx wrote

So it will be a client to neural network (NN) feedback loop. You have a goal in mind, by specifying this goal to your NN it will interpret it and create the functions required to reach that goal.

If it doesn't turn out how you wanted it, you can simply comment on that and it will change it accordingly. You are not doing this for anyone beyond yourself so there isn't a need for anyone else to have meetings or legal and regulatory paperwork with. AI generated art has already made this clear, people can generate whatever they'd like on their own local machines, that means regulations, etc are irrelevant from that standpoint because nobody know it even exist except you that are experiencing it.

You become both the creator and consumer, the middleman (developers, artists, filmmakers, etc...) are removed from the process.

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