26 links have been added on 5 ideas about #theory.
  1. Thanks Ed Witten and the rest. All that meaning and order, being broken down into tiny fragments of truth, that you now can’t reconsider. Great stuff, chaos and calmness are nigh.

  2. Physics is broken again. Spending our money and brains when we could be unravelling life and consciousness. When will mechanics stop fiddling and allow the rest of us the resources we need to unlock the mystery of evolution and our minds as we rise to the heavens?

  3. It’s not right (yet) though as they say, superstring theory is not even wrong. Here Witten admits its been a longer journey to disprove his theory than he thought it would. Heh.

  4. I think they could do it, but would they even let on, or keep us in suspense for their own means – They may know something we don’t already

  5. In physics, AI is being used to analyze data from experiments and simulations, as well as to develop new models and theories. AI can also be used to find new patterns and correlations in data that were previously hidden, allowing physicists to make new discoveries. Why shouldn’t Artificial Intelligences share the answers with humans? Hidden information is just as valid as information you can all access and use – why not just hope they keep the answers secret from mankind, rather than just destroy humanity – ie, kill people for it, like humans tend to do when frustrated or lacking the right information or required energy?

  6. Already exists. Potentially infinite bunk theories to wade through the chatterverse!

    Added on 9 ideasView all 9 ideas this link was added to.
  7. It’s happening already, read this: “A theory of everything, a grand unified theory of physics and nature, has been elusive for the world of Physics. While unifying various forces and interactions in nature, starting from the unification of electricity and magnetism in James Clerk Maxwell’s seminal work A Treatise on Electricity and Magnetism [8] to the electroweak unification by Weinberg-Salam-Glashow [9-11] and research in the direction of establishing the Standard Model including the QCD sector by Murray Gell-Mann and Richard Feynman [12,13], has seen developments in a slow but surefooted manner, we now have a few candidate theories of everything, primary among which is String Theory [14]. Unfortunately, we are still some way off from establishing various areas of the theory in an empirical manner. Chief among this is the concept of supersymmetry [15], which is an important part of String Theory. There were no evidences found for supersymmetry in the first run of the Large Hadron Collider [16]. When the Large Hadron Collider discovered the Higgs Boson in 2011-12 [17-19], there were results that were problematic for the Minimum Supersymmetric Model (MSSM), since the value of the mass of the Higgs Boson at 125 GeV is relatively large for the model and could only be attained with large radiative loop corrections from top squarks that many theoreticians considered to be `unnatural’ [20]. In the absence of experiments that can test certain frontiers of Physics, particularly due to energy constraints particularly at the smallest of scales, the importance of simulations and computational research cannot be underplayed.”

  8. Steven Weinberg, called it “a troubling thought” that humans might not be smart enough to understand the final Theory of Everything. “But I suspect in that case,” he wrote in an email, “we will also not be smart enough to design a computer that can find a final theory.” — MORE HERE https://mindmatters.ai/2020/12/can-a-powerful-enough-computer-work-out-a-theory-of-everything/

  9. No doubt DeepMind is working on it. It seems to have cracked the structure of the protein and other complex relationships, the whole shebang is likely next on the cards.

    https://www.deepmind.com/blog/alphafold-reveals-the-structure-of-the-protein-universe

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  10. I’m linking to this. its a good place to start with regards to how Artificial Intelligence will solve our problems for us, probably by removing us alongside our problems.

  11. One of the reasons A.I. has been so successful at solving games,” Dr. Thaler said, “is that games have a very well-defined notion of success.” He added, “If we could define what success means for physical laws, that would be an incredible breakthrough.

  12. “In the recent past, neural networks have also helped in determining heavy quarks as well as identifying electrons [76]. We can use deep learning to solve Schrodinger’s equation, to find the ground state energy [77]. There is a growing need to turn noisy and large data sets into meaningful information as we try to increase our ability to prepare and control increasingly complex quantum systems experimentally. It is in this area that we can utilize machine learning, such as the use of algorithmic learning and Bayesian methods for Hamiltonian learning [78], to classify quantum states [79] and to characterize unknown unitary transformations [80]. Reconstruction of the Hamiltonian to identify an accurate model for quantum system dynamics, extracting information on unknown quantum states and engineering quantum gates with pairwise interactions, using both time-independent and time-dependent hamiltonians, are all better done using artificial intelligence.”

  13. If the earth is a single organism, why not the entire solar system or milkyway galaxy? or urr, sausage?

  14. If the Gaia Hypothesis were true, Earth would have weeded us out long ago. No, it is US who need to do the regulating.

    Added on 2 ideasView all 2 ideas this link was added to.
  15. This one too – about environmental problem solving, still interesting to physicists though. Highly recommended.

  16. this explains it, I don’t think the OP really wants someone to make cows spherical. Just make physics easier to approximate.