exprofmaddy

6 ms·

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by exprofmaddy 1y ago
Agree on all points. It's worth asking: who maintains the academic incentive structures? If the social structures are harming science (e.g., promoting fraud), why do the social structures persist? Who or what stymies reform? As I'
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Ask HN: AI/ML in computational physics and computer-aided engineering?
1 points by exprofmaddy 1y ago|0 comments
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by exprofmaddy 2y ago
I see. For you, "people on the ground" includes a grand child's comment. In my experience, "people on the ground" has implied "don't try to do anything on your own," which dissuades action and consequ
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by exprofmaddy 2y ago
I think calling problem articulation "just sophistry" is overly reductionist. People who make the effort to articulate the problems (e.g., some Chronicle of Higher Ed writers) offer thoughtful readers other possibilities for consi
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by exprofmaddy 2y ago
This article and most of the comments ignore the social power dynamics and status quo institutional structures of academic science (Science 2): university administrators, power-broker faculty researchers, funding agencies (til recently), pu
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by exprofmaddy 2y ago
Julius Smith's recent book on physical modeling: https://ccrma.stanford.edu/~jos/pasp/
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by exprofmaddy 2y ago
Agreed. Drummer and programmer here. I consider electronic drums to be a different instrument from acoustic drums---especially cymbals---with somewhat comparable musical functions. The advantage of e-drums is that the sound guy can turn the
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by exprofmaddy 2y ago
People wish to feel safe. One path to safety is controlling or managing the environment. Lack of sufficient control produces anxiety. But control is only possible if the environment is predictable, i.e., relatively certain knowledge that if
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by exprofmaddy 2y ago
For example, the Euler equations model compressible flow with discontinuities (shocks in the flow field variables) and rarefaction waves. These theories are accepted and used routinely.
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by exprofmaddy 2y ago
"sufficiently large machine" ... It's a thought experiment. Leibniz didn't have a computer, but he still imagined it.
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by exprofmaddy 2y ago
Some differential equations that model physics admit singularities and multiple solutions. Therefore, functions are not the most general way of describing relations. Functions are a subset of relations. Although "non-deterministic&quot
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by exprofmaddy 2y ago
The universal approximation theorem is set in a precise mathematical context; I encourage you to limit its applicability to that context despite the marketing label "universal" (which it isn't). Consider your concession about
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by exprofmaddy 2y ago
Agreed. If someone believes the world is purely mechanistic, then it follows that a sufficiently large computing machine can model the world---like Leibniz's Ratiocinator. The intoxication may stem from the potential for predictability
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by exprofmaddy 2y ago
I'm with you. Interpreting a problem as a problem requires a human (1) to recognize the problem and (2) to convince other humans that it's a problem worth solving. Both involve value, and value has no computational or mechanistic
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by exprofmaddy 2y ago
Sorry I triggered you.
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by exprofmaddy 2y ago
It seems the humans pursuing AGI lack sufficient natural intelligence. I'm sad that humans with such narrow and misguided perspectives have so much power, money, and influence. I worry this won't end well.
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by exprofmaddy 2y ago
A better name for "laws" is "models."
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by exprofmaddy 2y ago
Where do you go to meet real humans and have social interaction?
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by exprofmaddy 2y ago
This story is also told in Nicholas Carr's bestseller 'The Shallows: What the Internet Is Doing to Our Brains' https://www.nicholascarr.com/?page_id=16
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by exprofmaddy 2y ago
Some very nice related works that dispel widespread math myths: (1) What Is Mathematics, Really? Hersh, 1997. https://books.google.com/books/about/What_is_Mathematics_Rea... (2) Where Mathematics Comes From. Lakof