> I propose the following reconceptualization of the goal of a mathematics PhD: to become a world expert on some interesting, deep topic, and to be able to convey that interest and understanding to others. Part of operationalizing this might be a thesis, but the degree would be awarded primarily on the basis of a rigorous defense, in which the student explains the topic to their examiners until they are satisfied. I…
Why is "Doctor of Philosophy" the correct certificate of "becoming expert in a topic"? That's a radical departure from "PhD" being a certificate that someone is qualified to produce new research. What you describe is more like a Masters Degree.
A Beginning for Mathematics
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Re: A Beginning for Mathematics
#32By essentially the same reasoning, I’ve been arguing for prioritizing in-person design/code reviews over code-only async PR comments.
The important thing is to verify that the human has a coherent design in mind and can demonstrate that it got implemented, regardless of who or what was at the keyboard. “I dunno, I guess Claude thought this was a good idea” is not a coherent design.
Re: A Beginning for Mathematics
#33Earlier quoted context omitted.
Lowering the bar for the masses isn't always a good thing
Examples, preferably academic?
Not that I actually agree that math was at the right level of gatekeeping. It definitely feels intentionally opaque beyond reason, and I think it's why LLMs are able to cut through the obfuscation and solve problems that maybe wouldn't actually have been considered quite so hard if mathematicians did a better job of making their work accessible.
Re: A Beginning for Mathematics
#34Earlier quoted context omitted.
Examples, preferably academic?
Half of modern academia, for one. Universities have turned into degree mills with the expectation that >50% of the population requires a college degree, regardless of whether they actually have any interest or need for one beyond doing it because it's a prerequisite for a good career, independent of whether said career actually uses the knowledge in any way. Not that I actually agree that math was at the right level…
Re: A Beginning for Mathematics
#35Earlier quoted context omitted.
Lowering the bar for the masses isn't always a good thing
Examples, preferably academic?
Result is more software at lower quality. The reason is statistics. When you increase the population, you increase the population of every kind of programmer, and people who want the result are favored in most competitive sectors because corporations want something somewhat working yesterday.
...and here we are.
Now programmers talking about code quality is stoned en-masse. If it's somewhat working then it's good. Efficiency, resiliency, maintainability and sustainability is an afterthought. Some of my friends who loved debating programming language theory now don't even care about the code. They don't write it, just vibe, and they don't plan to come back to "older, caveman style of development".
Some universities are also adding fuel to the fire: They "prepare students for the job", not teaching the science, but the parts that corporations need for the job only.
Though, hardware was cheap and people were expensive, and now code is cheap and hardware is expensive now. We'll see.
Re: A Beginning for Mathematics
#36Earlier quoted context omitted.
Half of modern academia, for one. Universities have turned into degree mills with the expectation that >50% of the population requires a college degree, regardless of whether they actually have any interest or need for one beyond doing it because it's a prerequisite for a good career, independent of whether said career actually uses the knowledge in any way. Not that I actually agree that math was at the right level…
28% of adult Americans
Re: A Beginning for Mathematics
#37Earlier quoted context omitted.
I actually think it's the opposite: Lean proofs and autoformalization make it very easy to announce proofs alongside proofs of the correctness of those proofs (Lean certificates). It's not an absolutely fool-proof combination (the Lean kernel could still contain bugs), but it does immediately attach a very substantial degree of credibility to the result. And that I think is essential to why some of the world's leadin…
The recent proof of Fermats Last Theorem is interesting: it is (iirc) 13 million lines of lean code. And type-checking takes 5 hours or so on a pretty beefy machine. I cannot independently verify the proof, and I have to take Anthropics word for it that it actually type-checks.
Re: A Beginning for Mathematics
#38> resulting in the production of an abundance of PDFs. The contents of some of those PDFs may even have important applications. I hope, from the depths of my soul, that the static typeset report format for transmitting knowledge and understanding will finally die and be laid to rest.
There simply is no contender to LaTeX and PDFs.
Lucky for you, almost all research in math, cs, and physics, are put on arxiv, where you can download the source code (.tex) as well as get an HTML render.
Re: A Beginning for Mathematics
#39> I propose the following reconceptualization of the goal of a mathematics PhD: to become a world expert on some interesting, deep topic, and to be able to convey that interest and understanding to others. Part of operationalizing this might be a thesis, but the degree would be awarded primarily on the basis of a rigorous defense, in which the student explains the topic to their examiners until they are satisfied. I…
Why is "Doctor of Philosophy" the correct certificate of "becoming expert in a topic"? That's a radical departure from "PhD" being a certificate that someone is qualified to produce new research. What you describe is more like a Masters Degree.
PhD has nothing to do with expertness.
If you have a PhD, you have completed some kind of research training.
That's all there is. Says nothing about knowledge or whether or not you're a genius.
You cannot conclude anything else, and nobody claims that you can.
If someone has a PhD, they have some training in doing research.
Re: A Beginning for Mathematics
#40Earlier quoted context omitted.
I don't think that's actually the real problem. Along with the progress in answering mathematical questions, recent progress on AI-powered autoformalisation has been astonishing. All the recent AI discoveries have been accompanied by Lean proofs. And, yes: that doesn't absolutely guarantee correctness. The Lean kernel has had soundness bugs, and may have some still. But it's pretty strong evidence of correctness neve…
I am not that worried, but rather just observing. Humanity is about to enter the phase when we will be using things based on ideas no human ever properly understands. This thought … disturbing, somehow? It is perfectly valid counterpoint to say that we already do it. We everyday use myriad of things, tools, and software we have 0 clue how it operates. But for us as humans it was reassuring that we know that at least…
Do any one person even understand the humble pencil?
https://dn790006.ca.archive.org/0/items/i-pencil-pdf-2019/I%...