Is There a Limit To Our Brains?

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Links to code:

Chapters:
00:00 The Human Brain
00:55 Particle Life Simulation
02:38 The Principle of Locality
04:50 Science and The Theory of Everything
06:00 Cellular Automata
08:00 Irreducible Complexity
10:21 Future Prediction
11:18 Universe Simulation
15:02 Consciousness
16:30 Evolution Theory
18:52 Abstraction - Category Theory
21:35 Markov Blankets
23:42 Free Energy Principle
25:10 Active Inference
28:36 Python Programming
30:26 Neural Network
31:52 Conclusion

Key words:
#algorithm #somepi
Locality principle
Principle of Computational irreducibility
Coarse graining
Markov blankets
Abstractions
Free Energy principle
Active Inference
Key words:
Brain, physics, neuroscience, math, category theory, python, cellular automata, artificial intelligence, machine learning. Stephen Wolfram, Karl Friston, Turing Problem, entropy, evolution, simulation

[mndsoul]

at 10:00, i think you gave a computationally reducible example for the computationally irreducible case, as k(100)=2*3^49.

I found the general solution too: for a random set of starting condition of real numbers (a, b, c) then the n-th number in the sequence is k(n)=c^(ceil(n/2)-1) / a^(floor(n/2)-1) if n is odd, and k(n)= b*c^(ceil(n/2)-1) / a^(floor(n/2)-1) if n is even. (this formula can be used to generate numbers before a, b, c too, like k(-1), k(-2)...)

I see the point you are trying to demonstrate tho, great vid :)

[stefangeorgiev]

Another problem in the class you are talking about(Halting Problem, Russel's Paradox., Wolfram's Irreducibility) is the self-reference problem. An agent cant predict the future state of a system it is embedded in , because it will need to predict its own behavior, that includes predicting its own predictions.

[TimothyLeeBanks]

thank you, seriously. you create the most unique content by basing this with a computer science background to explain the phenomena of the universe as we know. typically the videos i find requires me to import the physics library but unfortunately when i run "npm install physics" in my brain, it errors out. i have had these thoughts for years but you allow me to finally bridge the gap. im happy to see you upload and please create more like this. i hope your work will help figure out a breakthrough.

[varunsdiary]

This is technical, scientific, substantial and outright brilliant work. Thank you for sharing and spending your time putting this together!
I believe machines will be able to “think” one day and put themselves in someone’s mind.

[Psykatte]

I've been stalling designing a compression algorithm for years because I got caught in the pit of taking a top-down approach to inference trying to losslessly compress irreducible data. By having an intuitive understanding locality principle and computation irreducibility principle it's much more obvious that top-down and bottom-up inference need to be balanced to optimize efficiency and accuracy of predictive abstractions. Thanks for the video, it definitely saved my sanity!

[jn]

Fantastic video, should be required watching for every computer science student touching complexity and neural nets

[taru]

Immediately paused everything to watch this, amazing video as usual from one of the most underrated channels!

[timeTegus]

Best video i watched in a long time. I love how you conect different Subjekts. The information is very dense but so good explained that it can be easily understood. Thank u <3

[NightmareCourtPictures]

okay, this is a brilliant video.

I didn't understand the free energy principle at all ever since I heard about it, until now. You made it intuitive and easy to understand, and you related it back to your research on the brain, and computation using CA's.

Also, this is some novel stuff you did. I think you pretty much solved the connection between Neural Networks and the brain with this. hard to explain this in any way less than that this is nobel prize worthy stuff.

Thank you brain!

[rlstine]

This is an excellent video. I am sharing it to other consciousnesses, as we are understanding our essence, those glimpses of knowledge on our nature will improve acceptance of "fate" in our decision making.

[austkast]

The brain has the most algorithmic complexity. It may not have infinite complexity, but the algorithm to create it is rather complex. PI is infinitely complex, but the algorithm to generate the digits of PI is simple. Look up the Legendary, Gregory Chaitin's work on the matter.

[custom_name]

Great video, your way of explaining is very structured and understandable, both visually and audibly - it's down-to-earth and scientific, and the insights gained are easily applicable in real life situations. I've been going down very similar rabbit holes to what you've been researching (neuroscience, chaos theory, ai, mathematical systems, ...) and you filled in quite a few blanks. Thank you a lot :), hope to have more of your videos recommended to me in the future

[mouradghafiri]

if your content is a movie series it will get 10/10 in imdb. thank you so much for the great content and effort! I always wait for your videos and learn a lot with you!

[Partyarti_]

Amazing and inspiring. Will have to rewatch to get the input output part despite being an engineer lmao. Great work and great prodoction value! Thank you Hunar!

[gauravtejpal]

'There are more things in heaven and earth, Horatio, than are dreamt of in your philosophies'
- Hamlet, William Shakespeare

[mrstanton]

"you are bound by the limitations you place upon your reality"

[Curious_Skeptic]

Amazing! Been having similar thoughts for a while but glad I came across this that puts it all together.

[Maisonier]

I believe (and this is just my opinion, without evidence. I have no proof but also no doubts 😅) that the Universe is a conscious being, which we cannot comprehend from our perspective, and we are branches of this being, attempting to study itself. We are connected somehow through quantum entanglement, dark matter, or dark energy, and when we die, our experiences return to 'the source' as information, allowing the Universe to feed itself with more information from each living being. That's why ancient religions said that 'we are all one.' Carl Sagan said: 'The cosmos is also within us: we're made of star stuff, and we are a way for the cosmos to know itself.'

[Zenpsyqi]

Fascinating video! Please keep on making more of these types of educational video, also, what's your thought on the Quantum Neural Networks (QNNs) and their ability to predict the future using Superposition? Also thoughts on Artificial Super Intelligence in the near future which will hold enough computational power to predict and also simulate reality! Stay blessed 🙏🏼

[sepiar]

I love your videos so much, you have an interesting way of viewing the universe and you present it very well. It makes me want to study stuff like computer science and neuroscience more!