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Already exists. Potentially infinite bunk theories to wade through the chatterverse!
Artificial intelligence multiplies the number of skills that any person can have.
(5 upvotes)AI Detectors and Warnings
(7 upvotes)AI Voice generation for the film industry
(6 upvotes)An AI Generated ‘Theory of Everything’
(7 upvotes)AI Price Negotiator
(7 upvotes)AI personal stylist to help customers shop for clothing and fashion accessories
(7 upvotes)A social network for AI
(4 upvotes)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.”
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/
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
An AI Generated ‘Theory of Everything’
(7 upvotes)An AI contest for deciphering ancient texts
(3 upvotes)AI Price Negotiator
(7 upvotes)Future machines will be as spiritual as humans, if not, moreso
(9 upvotes)Create robots to man the ISS
(2 upvotes)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.
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.
!Crack AI and you’ve cracked EVERYTHING!
“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.”
Great video you posted. Adding it as a link to others can see how the video explains how AI will take more of the work of our hands, even with creativity and understanding the Universe.
Careful now! Behold the hawk in the chair. AI could undo us. Talking XXX rather than Science.