Who would pay for deep thinking? | Hacker News Reader

Who would pay for deep thinking?

3 pointsnoreasonw10 comments

Now that machine learning and deep thinking is trendy, I think that people with deep thinking abilities could get some money. For me deep thinking is about people able to understand core problems and suggest creative solutions. To think deeply you can't be annoyed with details. I think you should be asked for a problem and you should submit your proposal for a solution or approach. is there a market for this? Clearly there are tax and other problems, but my dream would be to get money that way (no taxes, no problem, just pure thinking), or your client solving (paying) those problems for you. I know no such thing exist for real, but what a beautiful dream!

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There is a huge market for this; it's called "consulting"

What I am asking for is like consulting without having to deal with the business aspect of consulting: looking for clients, how to get assured you are paid, paying taxes, taking care of legal essues, ...

Just become an employee of a consulting firm, they'll take care of these problems so you don't have to.

Thinking about something is useless unless you have a deep knowledge of the domain - including the ability to deal with the details, which are the downfall of many grandiose ideas. For example, if you don't know anything about computer architecture or chip fabrication, why would Intel want to know your thoughts about where microprocessor technology is going to go in the next decade? If you know nothing of aerospace engineering and orbital mechanics, why would NASA ask you about how to get to Mars?

Domain experts who are paid to think deeply about problems and propose solutions are called consultants. There are a lot of them out there.

The trending "machine learning" and "deep learning" has very little to do with the actual biological process of coming up with new solutions or approaches. It has to do with a specific subset of algorithms that are well suited to solving a specific subset of problems. I think you are getting terminologies confused.

You are right, but artificial intelligence, deep learning and machine learning all use words related to human activities and the roots of machine learning perceptron, neural networks, feedback and other terms are also imitations or analogies of terms for human activities, in the end the goal of deep learning is learning patterns that are not available for neural networks with few layers. The insight is that the human mind and perceptive organs feed the mind with structures that are similar to layers. Your retina see patterns that are hard coded and are th result of evolution. Perhaps I am not selling snake oil.

Perhaps the main problem is how to prove that you can apply those skills. To have a portfolio of achievements.

deep thinking

That's not a thing.

is there a market for this?

nope. It's the classic "I'm an idea guy, I don't worry about the details" stereotype.

Execution beats ideas every time.

(no taxes, no problem, just pure thinking)

What?

I am pretty sure that the best way to prove that deep thinking exists is giving to an enterprise the plan to execute their process, product or idea in a way that it beats the competence and produces a lot of money and value. Some people need to touch to believe.

Companies like McKInsey or BCG (claim they) do that.

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