Artificial Einstein: Did AI just do the impossible?

64,679
0
Published 2024-05-02
Join my mailing list briankeating.com/list to win a real 4 billion year old meteorite! All .edu emails in the USA 🇺🇸 will WIN!

Artificial intelligence has already proven its ability to produce entertaining and sometimes surprising creations, from texts to images and even videos. But can it learn physics? Maybe even discover new laws of physics? Today, we will venture into the fascinating intersection of artificial intelligence and physics. Computational Fluid dynamics, machine learning and even computer game design are encountered.

Key Takeaways:

00:00:00 Intro
00:01:04 The role of AI in quantum computing
00:03:31 Can AI predict outcomes better than humans?
00:07:09 A new way of simulating fluid dynamics
00:18:33 Outro

Additional resources:

➡️ Follow me on your fav platforms:
✖️ Twitter: twitter.com/DrBrianKeating
đź”” YouTube: youtube.com/DrBrianKeating?sub_confirmation=1
đź“ť Join my mailing list: briankeating.com/list
✍️ Check out my blog: briankeating.com/cosmic-musings/
🎙️ Follow my podcast: briankeating.com/podcast

Into the Impossible with Brian Keating is a podcast dedicated to all those who want to explore the universe within and beyond the known.

Make sure to subscribe so you never miss an episode!

#intotheimpossible #briankeating #chatgpt #AI

All Comments (21)
  • @DrBrianKeating
    Will AI ever discover a new theory of nature? Let me know and don’t forget you can win a real meteorite 💥 when you join my free mailing list here 👉 briankeating.com/list
  • @danielmccarthyy
    I think AI has the greatest value to analyze huge data sets to find unknown relationships which lead to new physics equations, new chemical compounds, and predictive genetics. But I am probably wrong.
  • @TheMrCougarful
    AI has demonstrated a capacity to hallucinate, which I consider that a promising start.
  • @noam65
    Protein folding is probably one of the most important areas of exploration because of its implications in the restoral of health, and repair of injury.
  • I am working on quantum physics LLM. What I find the hardest is the reinforcement part as the initial training data pretty much is standardised. That said I want to try to reinforce it with literature related to a more funkier side of possibilities such as anti-gravity or maybe time travel.
  • Nice work. I have to point out that with any emerging technology there are problems that occur and may not be able to overcome in the near future: AI’s: 1. Can hallucinate. 2. Can’t articulate the reasoning or process it used to get their results. 3. Can be biased. 4. Can provide different answers to the same question. 5. Can provide responses repetitive to a theme rather than providing independent responses. 6. Someone will always have to validate AI results. There is an inherent risk to not knowing how a solution was arrived at. 7. It’s lack of predictably is it’s strength but also it’s most critical weakness. In certain areas, it will revolutionize the world, in most other areas - not so much.
  • @Killer_Kovacs
    Watch the bit about 7.8 billion Nobel prize winners on a trolley rail. "Gpt chat solves the trolley problem"
  • @liberty-matrix
    "The greatest shortcoming of the human race is our inability to understand the exponential function." - Prof. Al Bartlett
  • I like to think that at some point AI would invent it's own language for calculations due to a sheer time and resource economy. If it would be asked to decypher one of these symbols of it's language into our regular math, it would take years just to read a result.
  • @stephenallen224
    Mathematicians come up with new things all the time, it doesn't mean it reflects reality. You can create an elegant answer to some problem in physics that probably explains the issue real well mathematically... it doesn't mean it exists. II means you are good at math.
  • @martymcfly7628
    As a physicist as well, I can tell you we are very short of training data on almost everything. Experimental physics is expensive, the physicists that do this are rare as hens teeth, so if we think we are going to solve anything we need to observe it first and put in a form to train, amongst what is not that thing its NOT as well, and all its nuances. Im excited, but hype is hype for AI
  • IIRC, there was a neural network that, after observing/processing videos of pendulums' motion, derived the basic laws of motion; i.e. F=MA I too hope that there will be similar discoveries made by neural networks for other branches of physics.
  • @KyleBaran90
    Can you elaborate a bit more on the graph at 11:40? Is there a relationship between graphs u, c, v, and p, or were you just showing how there are multiple graphs and elaborating on a few select moments of the c(t,x,y) graph? I ask because it also seems applicable to financial domains
  • @cheradenine1980
    Been watching physics maths and cosmology on YouTube for a decade. So glad to find your channel at last! Top quality!!
  • @DankUser
    The mouse pointer icon in the thumbnail is a great way to gatekeep people who smoke too much weed. Like me. For like a minute straight lol.
  • @4thorder
    By far, what you are tapping into a potential is the key for advancements in all fields. I have often thought of the impact on medical research, much like what you are presenting here for fluid dynamics. Excellent presentation and accolades for creating a teaching assistant. I wish I would have had such a thing getting my engineering degree in the 80s, LOL.
  • @jamiethomas4079
    Whats amazing and has already been duplicated in a way with sora is I dont think you need code for every type of physics simulation. I have a physics simulator in my head right now and couldnt begin to tell you exactly how it works. I can imagine a red apple, I can change its color to blue, I can throw the apple against a wall and watch it bounce off or explode. And all I did was have certain hardware and a knowledge base of what ive observed over my lifetime. Sora is the same way. It doesnt have a rally racing game engine built in yet it can create and simulate what will happen to a shockingly accurate degree, just like my brain. Some physics wont have to be coded in, we can simply train it against the physical world.