Remove Argumentation Remove Equality Remove Flexibility
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Don’t Give Up on Algebra: Let’s Shift the Focus to Instruction

National Science Foundation

Yet we have not seen equal advances in achievement (National Center for Education Statistics, 2019). Arguments that suggest we do away with school algebra frame algebra itself as the problem and leave unexamined how and in what ways that algebra is taught. 2017; Stein et al., Boaler & Leavitt, 2019). Compared with what?

Algebra 76
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The New World of LLM Functions: Integrating LLM Technology into the Wolfram Language

Stephen Wolfram

And for example doing a very simple piece of machine learning , we again get a symbolic object which can be used as a function and applied to an argument to get a result: And so it is with LLMFunction. By giving a second argument to LLMFunction you can say you want actual, structured computable output. are symbolic objects.

educators

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How Did We Get Here? The Tangled History of the Second Law of Thermodynamics

Stephen Wolfram

But he had a second hypothesis too—based, he said, on the ideas of “that most ingenious gentleman, Monsieur Descartes”: that instead air consists of “flexible particles” that are “so whirled around” that “each corpuscle endeavors to beat off all others”.

Energy 89
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The Physicalization of Metamathematics and Its Implications for the Foundations of Mathematics

Stephen Wolfram

One can view a symbolic expression such as f[g[x][y, h[z]], w] as a hierarchical or tree structure , in which at every level some particular “head” (like f ) is “applied to” one or more arguments. and at t steps gives a total number of rules equal to: &#10005. which we can read as “there exists something a for which equals a ”.

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Computational Foundations for the Second Law of Thermodynamics

Stephen Wolfram

Sometimes textbooks will gloss over everything; sometimes they’ll give some kind of “common-sense-but-outside-of-physics argument”. The energy of the particles is indicated here by the size of the “token dots”: Continuing this a few more steps we get: At the beginning we started with all particles having equal energies.

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Can AI Solve Science?

Stephen Wolfram

of what’s now Wolfram Language —we were trying to develop algorithms to compute hundreds of mathematical special functions over very broad ranges of arguments. Yes, there can be a lot of flexibility in this model. Back in 1987—as part of building Version 1.0 But one can’t have a truly “model-less model”.

Science 115