AI and Physics: A Coming Revolution?

The recent development of AI presents challenges, but also great opportunities. In this clip I will discuss the topic in general
... what hasn't worked perfectly is AI sound post-production, I apologize :-)

Mind also my backup channel:

[Ukie]

Healthy skepticism is always needed given what we know.

[dunravin]

When Thoth invented writing he presented it to Pharaoh as an aide to memory. Pharaoh scolded Thoth saying "It is not an aide to memory but an aide to forgetting."
When OpenAI presented ChatGPT....

[Dyslexic-Artist-Theory-on-Time]

In Hodgkin and Huxley model of Neurons basically explains Neurons as electric circuits with the organization and movement of positive and negative charge. The positive and negative is in the form of ion atoms. The neuron membrane acts as a boundary separating charge with ionic gates embedded in the cell membrane forming the potential for the build-up and movement of ion charge. The process is based on biophotons at the most fundamental level, AI could be similarly based on photons electron interactions.

[willsteele]

Dr. Unzicker, your scenery is so beautiful.

[anatolwegner]

The problem is not whether AI is possible in principle. It is whether there is a plausible path for reaching it otherwise it is just science fiction...

[MassDefibrillator]

You may be interested in recent work in neuroscience that has been falsifying the idea of learning or memory being based around the strengthening of synaptic connections between simultaneously firing neurons. For example, see: "Memory trace and timing mechanism localized to
cerebellar Purkinje cells" by Johansson et al, 2014.

I'm adjacent to the field, and my own opinion is that is it more clear than ever that the neural network level of description for cognition is to the mind what the mechanical philosophy was to gravity. An intuitive and common sense level of description that was ultimately completely wrong, and could not be made to be a coherent reduction base.

[OldSkoolUncleChris]

Just found this viral video where for 25 percent of a class for some reason they had to pick between writing a 16000 word AI essay or doing a dance in front of their class . This is the video they needed

[keithnorris]

I was relived to hear that there is agreement amongst the most advanced AI, that war and armed conflict is a " bad idea ". So I suppose I should be optimistic.

[bolsoverchris]

this is limited to 2022 data and the amount of data since this time is truly overwhelming i have asked the AI about the JWST data and its sadly lacking the info to make any speculations ... :)

[zholud]

You mentioned absence of hidden variables in quantum mechanics. Can you please make a video debunking entanglement? I have a PhD in math statistics and I have unhealthy skepticism about how they “use” bells inequality to show there is no hidden variables.

[orionspur]

Yann Lecun has been wrong about almost every prediction he has made... which is in itself kinda impressive.

[SergiuCosminViorel]

the first revolution in science by AI, is not what AI does, but what the very idea that computers exist must inspire in humans. the very awareness of the way computers function, brings way of thinking no genius in Physics ever envisioned. like this: "reality is of different sorts, natural or simmulated. in simmulated worlds particles can be without internal structure, but in natural worlds every single particle must have internal structure". only the dawn of computers can bring such thoughts to humans.

[marcv]

There are 3 types of logic broadly: Deductive logic, inductive logic, and abductive logic. We mentally use abductive logic most of the time because it's the cheapest logic to use for most things in the physical world. Animals do the same. Deductive logic is cheap and precise, but its use cases are more limited (counting, math problems, measuring things, etc.). Inductive logic is great for science in that it can definitively show you something is false, but way too expensive and slow for navigating the world.

Consciousness doesn't have anything to do with a logic mode. Drives and motivations have nothing to do with logic modes. Many of our drives and motivations are a culmination of molecular signaling at the lowest level of our anatomy.

Yes these models can understand everything in principle. A language model machine can understand anything. Words are tools for thinking. We use words for thinking because they are the best abstract tool for thinking, and the lexicon can be continuously expanded to address new problems all the time. Anything a person needs to understand can be turned into language. Anything can be understood by a machine with a sufficient language model.

[SciD]

And still, computers need a programmer, data. Program the AI with bs theories, and the outcome will be more bs.

[liamthompson]

AI will revolutionize your understanding of physics because, unlike you, it has no prejudice. Some of us already understand how the Universe works but, the problem is, the rest of you simply will not accept what we have to say. However, you will accept it if it comes from AI.

[waxeggoil]

I'll just say that in the visual arts the impact of AI is more one of volume rather than anything new. In this area it's certainly more advanced I think than it may be in theoretical physics. My worry is that AI will lead to stagnation of real creativity and insight. Just as in the visual arts where it has so far just thrown up endless variations of old ideas, it may just do the same in everything.

[Gunni]

I think AI will make any theory "Work", because it will be designed to solve the Problems of already designed "models".(Not reality, but estimates that may, (or may not) have values and functions we came up with, (or made up ones).

[bolsoverchris]

Ernst Mach's work, particularly his Mach principle, has indeed been a topic of interest in the context of attempts to connect general relativity and quantum mechanics. However, it's important to clarify that Mach's principle itself doesn't provide a direct solution to unifying these two theories. Instead, it offers insights that may be relevant to the broader quest for a theory of quantum gravity or a theory that reconciles general relativity with quantum mechanics.

The Mach principle, as formulated by Ernst Mach, suggests that inertia (the tendency of objects to resist changes in motion) is determined by the distribution of matter in the universe. In other words, the presence and distribution of distant matter influences the inertial properties of objects locally. This idea has implications for the nature of spacetime and the gravitational interaction between objects.

While the Mach principle doesn't provide a complete theory of quantum gravity or a direct pathway to unify general relativity and quantum mechanics, it has inspired further research and speculation in this area. Some researchers have explored the possibility that Machian ideas could play a role in understanding the emergence of classical spacetime from underlying quantum structures.

However, it's worth noting that the quest to unify general relativity and quantum mechanics remains an ongoing challenge in theoretical physics, and no single idea or principle has yet provided a definitive solution. Various approaches, including string theory, loop quantum gravity, and other quantum gravity frameworks, continue to be explored in pursuit of this goal.

In summary, while Mach's ideas have stimulated discussions and investigations related to the unification of general relativity and quantum mechanics, they are just one piece of the puzzle in the broader quest for a unified theory of fundamental physics. Achieving such a theory remains a significant challenge that continues to drive research and exploration in the field.

[reasontruthandlogic]

The question of whether artificial general intelligence (AGI) is possible was answered with the advent of ChatGPT, which already far exceeds Turing's Imitation Game test for machine intelligence. Questions about whether machines can ever "really think" or be "conscious" are meaningless, and therefore a waste of time, until it is agreed exactly what words like thought or consciousness mean. It is however an interesting question how a machine that was more or less trained to predict the next word, on a huge volume of human natural language text (important details about exactly how ChatGPT was actually trained notwithstanding), could suddenly hold an apparently intelligent conversation on almost any subject, but however that may be, it is now quite clear that ChatGPT is just the tip of a huge iceberg. It now seems feasible that human intelligence is actually little deeper than next word prediction, which would suggest that we are more closely related to parrots and the ZX81 than we had thought. So much for human superiority.

I was hoping that this video would have a go at predicting the ways in which this new source of intelligence could be used, in the near future, to advance our knowledge of physics. Given that physics is about describing the world that we observe, AGI could possibly be used to suggest existing effects which require further observation, or else it could be asked to help come up with a unified theory of physics which explains every existing observation. Other important directions in which AGI could quite possibly help right now would be the advancement of AGI - and the formal definition of intelligence and consciousness.

[TerryBecker-bwvx]

I would hope that if only
one thing were expanded
by AI, it would be physics.