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The Math Revolution You Haven’t Heard About

ED Surge

Math professor Martin Weissman is rethinking how his university teaches calculus. Over the summer, the professor from the University of California at Santa Cruz, spent a week at Harvard to learn how to redesign the mathematics for life sciences courses his institution offers. CAMBRIDGE, Mass.

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How to Think Computationally about AI, the Universe and Everything

Stephen Wolfram

It’s a new paradigm—that actually seems to unlock things not only in fundamental physics, but also in the foundations of mathematics and computer science , and possibly in areas like biology and economics too. You know, I talked about building up the universe by repeatedly applying a computational rule. Which starts here.

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Charting a Course for “Complexity”: Metamodeling, Ruliology and More

Stephen Wolfram

It wasn’t long before I realized something fundamental: that this was at its core a computational phenomenon. It seemed as if there was a vast new domain that had suddenly been made accessible to scientific exploration. But it really wasn’t physics, or computer science, or math, or biology, or economics, or any known field.

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Computational Foundations for the Second Law of Thermodynamics

Stephen Wolfram

Once one has the idea of “equilibrium”, one can then start to think of its properties as purely being functions of certain parameters—and this opens up all sorts of calculus-based mathematical opportunities. But now the computation is “less dense”, and seemingly more accessible to human interpretation.

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What Is ChatGPT Doing … and Why Does It Work?

Stephen Wolfram

It’s not obvious that it would be feasible to find the path of the steepest descent on the “weight landscape” But calculus comes to the rescue. As we mentioned above, one can always think of a neural net as computing a mathematical function—that depends on its inputs, and its weights.

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The Physicalization of Metamathematics and Its Implications for the Foundations of Mathematics

Stephen Wolfram

But beginning a little more than a century ago there emerged the idea that one could build mathematics purely from formal axioms, without necessarily any reference to what is accessible to sensory experience. From a computer science perspective, we can think of it as being like a type hierarchy.

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Remembering the Improbable Life of Ed Fredkin (1934–2023) and His World of Ideas and Stories

Stephen Wolfram

It didn’t help that his knowledge of physics was at best spotty (and, for example, I don’t think he ever really learned calculus). “Lick” Licklider —who persuaded Ed to join BBN to “teach them about computers”. The article said that the “MAC” stood either for “Multiple Access Computer” or “Machine-Aided Cognition”.