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Learning from failure to tackle hard problems
- axus 1y agoThe most important clue to solving a difficult problem is knowing that somebody else has already solved it.
- baxtr 1y agoThe 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 1y ago9/10 vc backed companies fail. Not "companies." Ignore the hype and you'll be more likely to succeed.
- stonemetal12 1y agoAs far as I am aware it is 8/10 across the broader landscape. A little better, but not much.
- fhuteedc 1y agoTwice as likely to succeed is not insignificant. It's a lot better chance to succeed. You're being led to by folks who want to make you their slave. https://clarifycapital.com/blog/what-percentage-of-businesses-fail https://clarifycapital.com/blog/what-percentage-of-businesse... That 80% number is after 20 years. That's far longer than almost anyone stays at the same employer. Maybe if those failures are the owners retiring. You're being lied to. The myths of silicon Valley are not there for the benefit of founders.
- shermantanktop 1y agoYou're describing bruteforcing through repetition. The paper is essentially about increasing the chance of success by training model which learns on failure. That may not apply to a building a viable company directly. It might suggest that new companies should avoid replicating elements of failed companies.
- LPisGood 1y agoI had a professor in an additive combinatorics class that would (when appropriate) say “hint: it’s easy” and as silly as it is, it usually helped a lot.
- mcmoor 1y agoHint as simple as that feels like spoiler sometimes.
- Nevermark 1y agoI worked on a problem for a couple months once. As soon as my professor hit mid-sentence telling me he found someone with the solution, I rudely blurted it out. My mind was so familiar with all the constraints, all I had to know was that there was a solution and I knew exactly where it had to be. But before knowing there was a solution I hadn't realized that.
- truelson 1y agoThe 4 minute mile comes to mind
- paulorlando 1y agoWhile Bannister’s 4-minute mile record is used as an example of a psychological barrier, there’s also a reinterpretation of the meaning behind his record. Before his 1954 race, the record for the mile stood at just over 4 minutes (4:01.4) for 9 years. While speed records were set during WWII, they were all set by Swedish runners (Sweden being neutral in the war). The record today, which has stood since 1999, is 3:43.13. It's not a round number, so as a result gets less attention. Maybe that's why we don't think of it as a psychological barrier.
- NooneAtAll3 1y agoso it's all a question of marketing 343 is 7 cubed, so just call it "cube barrier!" and it becomes a worthy challenge
- mpalmer 1y ago343 is 5:43
- NooneAtAll3 1y agonot for marketing
- mcmoor 1y agoReminds me of barriers in speedrunning. Technically all the times are arbitrary, but there's still prestige to be the first person to get under <nice number>. I don't think it really influences the speed of record breaking around it, except that time when there's literally a bounty raised.
- richard___ 1y agoHow does this compare to just reducing the likelihood of negative samples?
- deleted 1y ago[deleted]
- abtinf 1y ago> 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.
- dgacmu 1y agoThese have all been stated as goals by various machine learning research efforts. And -- they're actually all examples in which a better search heuristic through an absolutely massive configuration space is helpful.
- captainclam 1y agoYou must not end up reading much scientific literature then.
- LinuxAmbulance 1y agoWhat's the issue with drug discovery? AI/ML assisted drug discovery is one of the better examples of successful AI utilization out there.
- ants_everywhere 1y agowhich one do you think is unlike the others?
- qqxufo 1y ago[flagged]
- chrisXOXO 1y agoThat idea feels really relevant to me as a future research direction(not an expert). Could maybe someone explain what I am missing here? Why does this idea not get more attention?! Is it not new? And if so, could one state why it is not commonly employed?