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You don't need to work on hard problems (2020)

benkuhn.net

11–20 of 115 posts

Re: You don't need to work on hard problems (2020)

#11

As I just said in another thread, “amateurs talk about effort, professional talk about impact”. Unravelling the puzzle of how impact happens is the hardest problem.

Although an obsession/compulsion with the results, veers your mind off of the process needed to acquire great results. Especially for complex/long-range efforts, I'd argue that "quality of efforts" > "quality of results". Without such an orientation, it becomes difficult keep up with a challenging course of action.

Re: You don't need to work on hard problems (2020)

#12
It's a very good thing that we don't actually depend on solving hard problems for our salaries. Then every solution that was invented would get written up and that whole area of work would be closed - the industry would employ a tiny number of academics only.

In actuality I do the same things over and over again and if it's something I haven't done then probably 10s of thousands or 100s of thousands have done it before. I certainly need a search engine to be able to work so it's obvious that I'm copying more than anything.

Re: You don't need to work on hard problems (2020)

#13

this whole article reeks of privilege

i mean it does doesn’t it? this person worked on hard technical problems for a long time, selling himself as a solver of those, and now recommends people do not have to do that. yet if they didn’t do all that solving they would not have broken into their industry

Re: You don't need to work on hard problems (2020)

#14

I've always thought that people underestimate the mental acuity needed to find simple truths within complex systems and to use them to achieve useful results. Especially in academia, many professors, who are wedded to particular models, go so far as to dismiss simplicity without sufficient consideration. It was not always this way. Among the older philosophers, you can observe a strong affinity for simplicity. Figure…

Simplicity adds value not by denying complexity but by providing a means to navigate it. However it must be applied judiciously to ensure that the richness of the complex system is not lost. Complex systems are often more resilient to shocks. Complex models are often more robust, simple models can be misleading.

The individuals you mention mastered complexity. What they did could be seen by us as simplicity retroactively. Something like Denning’s crane. Newton developed calculus, that was anything but simple at that time.

I agree to use simplicity to decide, inform, lead. But great things tend to emerge from thinkers that can think through complexity and not oversimplify their own thinking.

Re: You don't need to work on hard problems (2020)

#15

I've always thought that people underestimate the mental acuity needed to find simple truths within complex systems and to use them to achieve useful results. Especially in academia, many professors, who are wedded to particular models, go so far as to dismiss simplicity without sufficient consideration. It was not always this way. Among the older philosophers, you can observe a strong affinity for simplicity. Figure…

> Figures like Pythagoras, Newton, Descartes, Archytas, and various Indian philosophers, such as Shankaracharya, strongly favored simplicity.

Easy to favor simplicity when the basics in your field hasn't been fully mapped out yet. Much harder to make a name for yourself when pretty much all the low-hanging (i.e. simple) fruit has been claimed already by people in the past. Most people probably feel they don't have much choice but to pursue more complex ideas nowadays as a result.

Re: You don't need to work on hard problems (2020)

#16
post #14

I've always thought that people underestimate the mental acuity needed to find simple truths within complex systems and to use them to achieve useful results. Especially in academia, many professors, who are wedded to particular models, go so far as to dismiss simplicity without sufficient consideration. It was not always this way. Among the older philosophers, you can observe a strong affinity for simplicity. Figure…

Simplicity adds value not by denying complexity but by providing a means to navigate it. However it must be applied judiciously to ensure that the richness of the complex system is not lost. Complex systems are often more resilient to shocks. Complex models are often more robust, simple models can be misleading. The individuals you mention mastered complexity. What they did could be seen by us as simplicity retroacti…

Yes, that is not untrue. However, when you talk implementation, a major part of operations is - "what can people understand and act upon in a coherent way". Your bottleneck to most system implementations is the processing capability of the people. Therefore, in practice, less accurate but simpler models end up performing better.

Re: Newton - I am not denying complexity. I am simply saying recognising basic truths, honoring them to the extent to which they deserve, making them the foundation for all further activities/undertaking. For ex - Rickover dealt with super complicated projects, but how he dealt with them is based on utterly simple principles; so simple that people would outright reject them, until they see the results he achieved. One could say the same regarding Lee Kuan Yew's work.

Re: You don't need to work on hard problems (2020)

#17

I've always thought that people underestimate the mental acuity needed to find simple truths within complex systems and to use them to achieve useful results. Especially in academia, many professors, who are wedded to particular models, go so far as to dismiss simplicity without sufficient consideration. It was not always this way. Among the older philosophers, you can observe a strong affinity for simplicity. Figure…

> Figures like Pythagoras, Newton, Descartes, Archytas, and various Indian philosophers, such as Shankaracharya, strongly favored simplicity. Easy to favor simplicity when the basics in your field hasn't been fully mapped out yet. Much harder to make a name for yourself when pretty much all the low-hanging (i.e. simple) fruit has been claimed already by people in the past. Most people probably feel they don't have mu…

What about Rickover? He was implementing nuclear energy to practical applications. You read Rickover's doing a job (https://govleaders.org/rickover.htm), he emphasizes simpler concepts such as responsibility and individual initiative to drive complex technical projects.

I've shown these ideas to many so-called well-educated college graduates, and they don't warm up to it. They say "processes" > "individual initiative". This is too old-school, too simple, blah, blah.

I think people will learn only when you put them in charge of a complex undertaking to appreciate what simplicity means in leadership of complex projects.

Re: You don't need to work on hard problems (2020)

#18

this whole article reeks of privilege

The best bit is how they loudly claim to aim for directly changing the world, and yet also very clearly are trying to stay out the area most directly impacting the problems they try to solve: policy and politics.

Re: You don't need to work on hard problems (2020)

#19

As I just said in another thread, “amateurs talk about effort, professional talk about impact”. Unravelling the puzzle of how impact happens is the hardest problem.

> “amateurs talk about effort, professional talk about impact”.

I rather prefer to talk about elegance, thus I am likely neither an amateur nor a professional, but rather suited to academia. :-)

(I really liked my graduate studies, but was more suited for finding deep connections in research problems than for academic politics, which is why I left academia)

Re: You don't need to work on hard problems (2020)

#20
I like working on complex problems. But I like making simple solutions. And making those is often hard. So you might say I like hard problems.

> I could try to solve an easy problem as quickly as possible

The "solve X as quickly as possible" is now the problem. Not just solve X. I And that sounds like a hard (therefore interesting) problem!

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