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Is The Human Life Predictable?

STEMe

A neural network is a computer model based on the brain and nervous system, while a transformer model is a data architecture used to learn about language and other tasks. Because of the general skepticism, the argument about whether AI could have a negative or positive impact continues.

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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. Perhaps even the architecture of the network can change. Probably it’s because neural nets capture the architectural essence of actual brains. Mostly we don’t know.

Science 116
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A 50-Year Quest: My Personal Journey with the Second Law of Thermodynamics

Stephen Wolfram

I think Yves Pomeau already had a theoretical argument for this, but as far as I was concerned, it was (at least at first) just a “next thing to try”. People had discussed reaction-diffusion patterns as examples of structure being formed “away from equilibrium”. What kinds of models could realistically be made for these?

Physics 95
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Even beyond Physics: Introducing Multicomputation as a Fourth General Paradigm for Theoretical Science

Stephen Wolfram

Events are like functions, whose “arguments” are incoming tokens, and whose output is one or more outgoing tokens. Chemistry / Molecular Biology. But in thinking about molecular computing it may be crucial—and perhaps it’s also necessary for understanding molecular biology. There are many.

Physics 66
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Multicomputation: A Fourth Paradigm for Theoretical Science

Stephen Wolfram

Events are like functions, whose “arguments” are incoming tokens, and whose output is one or more outgoing tokens. Chemistry / Molecular Biology. But in thinking about molecular computing it may be crucial—and perhaps it’s also necessary for understanding molecular biology. There are many.

Science 60
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The Concept of the Ruliad

Stephen Wolfram

The global structures of metamathematics , economics , linguistics and evolutionary biology seem likely to provide examples—and in each case we can expect that at the core is the ruliad, with its unique structure. And we can trace the argument for this to the Principle of Computational Equivalence. But that’s not all there is to it.

Physics 117
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Remembering the Improbable Life of Ed Fredkin (1934–2023) and His World of Ideas and Stories

Stephen Wolfram

Richard Feynman and I would get into very fierce arguments. He relishes calling his parents dopes, but aside from arguments about subjects like how late he should be able to hang out with his buddies, its clear that he doesn’t think we’re dopes. It’s just my nature. Some glide through that period of life without hassle.