Don’t believe the dictionary or any POP SCI GUY who don’t get what it is. Entropy is a measure of the amount of hidden or missing information contained in a system, not a measure of the amount of available or unavailable energy.
Don’t believe the dictionary: entropy is information, not energy
“Extraordinary claims require extraordinary evidence” said Carl Sagan; a dictum which asks us to use the scepticism of Hume to dismiss miracles and false claims. But what is extraordinary, should common sense be our guide to science? This innate scepticism at the heart of science needs to be cha... Read more
Science is the best way we know to develop reliable knowledge. It’s a collective and cumulative process of assessing evidence that leads to increasingly accurate and trustworthy information.
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/
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.
Artificial intelligence could be one of humanity’s most useful inventions. We research and build safe artificial intelligence systems. We’re committed to solving intelligence, to advance science and benefit humanity.
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.
Could Artificial Intelligence Solve The Problems Einstein Couldn’t?
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.
Can a Computer Devise a Theory of Everything? (Published 2020)
“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.”
AI-ming for a Theory of Everything - Bengal Chronicle
Explorations into the nature of reality have been undertaken across the ages, and in the contemporary world, disparate tools, from gedanken experiments [1-4], experimental consistency checks [5,6] to machine learning and artificial intelligence are being used to illuminate the fundamental layers of... Read more
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.
If you like what I do, donate to my Patreon channel. https://www.patreon.com/AgatanFnd?ty=hTo support this channel for the thousands of hours dedicated to br...
Don’t believe the dictionary or any POP SCI GUY who don’t get what it is. Entropy is a measure of the amount of hidden or missing information contained in a system, not a measure of the amount of available or unavailable energy.
And this by Nick Lucid.
Yes, it’s a bit of a cheesey buzzword in science at the moment but this is the best video I can think of that describes entropy well.
Yawn, no. entropy is now just a quantum buzzword.
I think I agree. Here’s why.
Ah, yep – if you’re killing people for money.
Ahh, nope.
You can still just choose the set of evidence you want to use – depending on your existing standpoint. So no help really.
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.
Science is hard, faith is easy. Which one is a delusion, only he knows?
Been there, done that – the Almighty is all knowledge.
Pretty much what most atheists think the term refers to, and the concept, I suppose. Watch this for more https://youtu.be/eBBoGAHCJ-8