mdnahas
Joined 6 years ago
Joined 6 years ago
Now that there are tools that help math’s consumers and because the economy of proof production wasn’t oriented towards consumers, there is a real chance that academic mathematicians get sidelined.
From the Halloween episode of comedy show Saturday Night Live.
https://glaeser.scholars.harvard.edu/publications/political-...
A big problem in the electricity market is that most customers don’t respond to supply shocks. They pay the same price in an emergency as in normal times. So, when it got very cold and power plants started shutting down, they used more electricity because they needed more heat! The one electricity provider who did pass on higher prices to customers and reduced consumption, Griddy Energy, was roasted in the media. Because customers didn’t respond to the shortage, utilities had to. They instituted “rolling blackouts”, which we really just blackouts for any grid that didn’t have a hospital on it.
They also serve as a part-time strategy group for the company. The company couldn’t afford that quality of people full time and they wouldn’t have as much experience as at a consultancy. And having temporary people not beholden to a superior might result in more honest reports.
So, it’s not necessarily flimflam. But I do worry a group of people who determine a company’s strategy and rarely stick around to implement it and measure it’s end result.
The insertion of NOPs is a great way to remove a function call that might have crashed the program. If you didn’t need anything that function did, you’ve solved your problem but not fixed the bug.
I got an economics degree and found that the City of Austin to pay off its $3 billion dollar pension debt … and encountered the same problem you mentioned, again. Except this time my plan is to run for City Council and be their next-level superior.
I do a lot of programming that uses mathematics. I designed the error recovery file format “par2”. I worked as a quantitative trader.
What do I want from math? To be able to search math results, understand them, and apply them. But academic mathematicians are so inwardly focused - as these authors so obviously are - that it does all of these badly! Search is still with words, not symbols and formulae. As for comprehension, many math papers are unreadable to those not in the cliche of mathematicians in that specialty. And even applied math papers don’t ship code or specify the operations explicitly.
I wanted to fix this and in 2013 I worked on formal proof. It makes symbol search and application easy. I found out that the tools had been usable for decades at that point. But mathematicians didn’t use them because they had that inward focus and didn’t give a damn about math consumers.
AI is enabling formal proof. It will carry mathematics into the computer age, which the field should have joined with every other industry in the 1970’s! I welcome it. Math will get used more and that is what the work was meant to achieve in the first place.
One cause is Congress not doing its job for 30 years. The other is the advertising funding model - website users are not the customers. Therefore, websites - especially news sites - aren’t delivering useful information to their users because that doesn’t make more money.
Therefore author is right. Reinforcement learning with this ecosystem is dangerous.
https://michaeldnahas.com