227 karma · joined June 4, 2010
Also we already know the Standard Model is not the complete picture (it cannot integrate QM & General Relativity).
Since my guess is most that most people who apply for this will not fall into the bracket where they do extensive background checks, they'll make plenty of profit off this.
Of course, it's also possible that the check will be a sham for all.
To make an analogy, PhD students usually don't have a project to work on when they start and if they do, that usually changes. Yet many of them become excellent researchers and leaders of their field in the future.
First of all - I wouldn't count being a businessperson as liberal arts.
One way you can look at it is how many people drop out of technical subjects because they find them too hard to move to humanities and liberal arts vs. the opposite. Anecdotally, for me the former number has been much larger. The latter number has been 0.
Similarly, I've had many technical friends who took liberal arts courses and generally did very well in them. I also have many liberal arts friends who took technical courses and did not do well in them. In addition, the technical people I've met have been much much more hard-working than liberal arts people. (An exception I'd make is creative arts - people I've encountered in that field have generally been extremely hard-working. Also no one I've met has moved from say math to music because they found math too hard.)
Now it might just be because liberal arts people just don't like the technical subject matter on average as much as technical people like the liberal arts subject matter. But even if that's true, one is then right to choose technical people over liberal arts people.
Lastly, I also know liberal arts majors who are smarter than many technical folk I've encountered but I'm talking about the general trend here.
Liberal arts majors can be smart and have broad understanding but so can technical people. In fact, the technical people I've met on average have been smarter than liberal arts people.
While universities have quite a few problems, universities is where most of the world-changing research has been done over the past few centuries. If you kill the university before coming up with an adequate substitute for that function, you kill the future.
I wonder if calling/sending letters to media outlets like WashPost and NY times might be more effective than doing the same for legislators. Right now, coverage of SOPA/PIPA is completely lacking among big media outlets. Negative coverage of the bills could go a long way towards defeating the bills. The tricky thing is that a lot of the big media outlets are owned by companies who are few of the major supporters of SOPA/PIPA in the first place.
It also focusses attention only on SOPA when PIPA is almost as bad.
The overwhelming majority of the effort should be going to calling/sending (physical) letters to one's respective representatives, maybe setting up some sort of a fund to oppose SOPA/PIPA, urging tech companies like Google to spend more on lobbying (They can and should be spending more to lobby against the act), etc.
Edit: I was under the incorrect impression that OPEN act would end nonsense like SOPA/PIPA. Edited comment to reflect that.
A nice car is not a good analogy since 1) buying one is a matter of choice and 2) kidnapping someone for a nice car is not likely to get someone seriously injured or killed (as long as one agrees to the kidnapper's demands) whereas kidnapping for organ donation is completely different.
The one form of cryptography that would still be possible is quantum cryptography. But if I recall correctly, that requires that two parties already hold some shared secret before communicating.
Edit: In addition although it would be possible to detect if someone is eavesdropping over your communication, you still wouldn't have the privilege of being able to communicate securely regardless of whether your message is being recorded. This of course presumes that not only P=NP, but an efficient polynomial time algorithm exists for NP problems i.e. one which is say linear or quadratic or even cubic time.
1) It would solve one of the most important problems in computer science and mathematics 2) Understanding of the proof and the methods it uses could very likely lead to solving other problems in computational complexity. 3) Furthermore, the proof would shed light on why certain problems are hard. Such an understanding could lead to better heuristics to solve those problems.
Edit: Also the Goedel prize
"Manuscript sent on 6th August to several leading researchers in various areas. Confirmations began arriving 8th August early morning. Final version of the paper to be posted here shortly. Stay tuned. "