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Learning from failure to tackle hard problems

Learning from failure to tackle hard problems

5 comments

·October 30, 2025
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abtinf

> The [goal] of machine learning research is to [do better than humans at] theorem proving, algorithmic problem solving, and drug discovery.

Naively, one of those things is not like the others.

When I run into things like this, I just stop reading. My assumption is that a keyword is being thrown in for grant purposes. Who knows what other aspects of reality have been subordinated to politics by the writer.

axus

The most important clue to solving a difficult problem is knowing that somebody else has already solved it.

baxtr

The problem is time and resources.

Take building a viable company. You know that many people have solved this. But you also know that 9/10 fail.

So you need the time and the money to try enough times to make it work.

djdjdhdh

9/10 vc backed companies fail. Not "companies." Ignore the hype and you'll be more likely to succeed.

richard___

How does this compare to just reducing the likelihood of negative samples?