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 :)
@brainxyz
23 күн бұрын
Wow, if that universe had you instead of me, they’d be resting in peace now! 😄 Can you explain how you did that? I remember posting that equation on a Reddit Math group a few months ago, but I couldn't get a reducible form, so I decided to use it in the video for simplicity. Thanks for pointing this out. Anyway, as you said, the point of the video is still valid, but I think I should have used a different example.
@m1ndsoul
22 күн бұрын
@@brainxyz i started with the general case of (a,b,c) and asked chatgpt to generate the sequence up to the 10th number using your rule. I knew from your provided rule that the n(th) number of the sequence has the form: a^f(n) * b^g(n) * c^h(n) (as the rule only involve multiplication and division, and f,g,h are functions of n). Then i formed the formula so that it fits the generated sequence (it was pretty obvious, as b was alternating, c increase every 2 cycle, and a decrease every 2 cycle). After i had the equation k(n) that predict the sequence, i made sure it satisfy your rule by proving k(n)=k(n-1) * k(n-2) / k(n-3) (at first i was only proving for n>=4, but then i realize any integer n satisfy, thats how i found out the sequence generate backwards too lol). After that it's just plug and play, using your given set of 1,2,3. I made some more unpredictable rules, such as: rule=current*previous + preprevious, but that rule also have a prediction formula, albeit more complex: sum[1->n] (k(n)* a^f(n) * b^g(n) * c^h(n). Based on this, i proved that any rule=f(a,b,c) that only involves simple arithmetic (+-*/) is reducible. But there are some functions that i can not reduce, such as: k(n)=k(n-1)^k(n-2) + k(n-3) (substituting that + with * or / or - also makes tough rules). This function increase a bit too fast, so some rules that involves log[a](b) function, a-root(b) (instead of squareroot or cube root of b, which are just b^1/2) would be more fun. These functions, although non-trivial, are a little complex for demonstration. Piggy packing by the Collatz Conjecture, we can twist the simple arithmetic-based function into a monster: let's use rule k(n)=k(n-1) - k(n-2) + 2*(k-3), but if k(n) is divisible by 2 (or 3, or 5, our choice), we set k(n):= (k(n-1) k(n-2) + 2*k(n-3))/2 (if divisible by 2, divide by 2 before putting into sequence). Until the Collatz Conjecture is solved, this thing will still stand (this is also an if-then condition similar to Wolfram's rule 30 of condition for a cell to be black or white) I asked chatgpt to try and find a formula predicting the n-th term of this sequence, bro made up alien mathematics 💀
@brainxyz
22 күн бұрын
@@m1ndsoulThanks for the explanation and for providing some examples of irreducible equations. If I had the chance to recreate the example, I’d definitely choose one of those. I suspect there are probably an infinite number of rules that can produce examples of irreducible complexity, like the rule that produces pi or any other rule that generates irrational numbers. In any case, thanks for pointing out the mistake in that example -I’m going to pin your comment so that others can benefit from the mental exercise. I hope people focus on the main point and the overall message behind the example I provided at 10:00, rather than taking that specific example too literally
@m1ndsoul
22 күн бұрын
@@brainxyz Thank you for the great insights! There is so much cross-disciplinary interpretations from your channel that I am still benefitting from
@sambhavmirajgaonkar2984
21 күн бұрын
Can also be done using Geometric progression , C2n = C3^(ceil(n/2)) * C4 ; C(2n-1) = C3^(ceil(n/2)) * C4 * C1/C2 [For n >= 3] 1 2 3 6 9 18 27 54 81 162 Here if you notice the terms at the odd and even places are in GP with common ratio (r) = 3 That is, 1 3 9 27 81 ... And 2 6 18 54 162 ... Btw Great video.
@stefan24georgiev
22 күн бұрын
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.
@teechawoon
15 күн бұрын
I also wanted to comment the same thing.
@varun-theproductguy2388
21 күн бұрын
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.
@TimothyLeeBanks
22 күн бұрын
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.
@Psykatte
21 күн бұрын
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!
@jn4073
21 күн бұрын
Fantastic video, should be required watching for every computer science student touching complexity and neural nets
@timeTegus
21 күн бұрын
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
@timeTegus
21 күн бұрын
The human brain is a prediction machine.
@taru4635
24 күн бұрын
Immediately paused everything to watch this, amazing video as usual from one of the most underrated channels!
@rlstine4982
20 күн бұрын
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.
@NightmareCourtPictures
23 күн бұрын
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!
@brainxyz
23 күн бұрын
Glad you liked it! I always enjoy reading your comments on Stephen Wolfram's videos whenever I find them. I read them very carefully because you have a deep grasp of Wolfram's physics model, and I've benefited a lot from your insights. I think it's crucial for outsiders from other fields to engage with these theories and discuss them from their own perspectives.
@somedudes6455
22 күн бұрын
Whoa, this is an amazing video
@mouradghafiri7659
17 күн бұрын
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!
@superlambda4144
21 күн бұрын
Absolutely stunning content!
@gauravtejpal8901
21 күн бұрын
'There are more things in heaven and earth, Horatio, than are dreamt of in your philosophies' - Hamlet, William Shakespeare
@gauravtejpal8901
19 күн бұрын
@@Sorcerollo 'The fool doth think he is wise, but the wise man knows himself to be a fool.' - As You Like It, Act 5, Scene 1
@austkast
21 күн бұрын
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.
@Thepoemgirl
21 күн бұрын
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!
@custom_name854
18 күн бұрын
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
@markkeeper7771
24 күн бұрын
liking before watchinbg, i know i'll be lovi'n it
@mrstanton81
21 күн бұрын
"you are bound by the limitations you place upon your reality"
@Tann114
24 күн бұрын
Super video! I've also spent a long time thinking about this stuff, thanks for sharing.
@Zenpsyqi
Күн бұрын
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 🙏🏼
@SamiSabirIdrissi
20 күн бұрын
Bro. You just melted my brain
@Maisonier
21 күн бұрын
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.'
@CrazyAssDrumma
21 күн бұрын
That sounds kinda wholesome, kinda similar to the big tree in Avatar. Thanks for sharing :) Always love a bit of Carl Sagan
@CrazyAssDrumma
21 күн бұрын
In the same vein, I believe that our universe is mathematical. Its complexity can be contained and explained within mathematical structures and processes (like Stephen Wolframs Phyics Project). Thus, the universe is just the infinite complexity of pure mathematics realising itself, almost like a large fractal with vast distances between other complexities, stretching on infinitely. Pretty nutts huh? xD
@JubletsKrublets
13 күн бұрын
I share this belief. The universe exists to observe itself, and we are just a step in the chain up to the top.
@karakson
24 күн бұрын
10:21 That's why they can never rest in peace 😂 I love this channel xd
@deltalima9640
23 күн бұрын
Wow. Very profound. Thanks for this
@maximillianphelps
22 күн бұрын
Insanely valuable video
@Curious_Skeptic083
22 күн бұрын
Amazing! Been having similar thoughts for a while but glad I came across this that puts it all together.
@sepiar7682
24 күн бұрын
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!
@code4chaosmobile
22 күн бұрын
Great vid, about 11 minutes into it and wanted to stop and thank you.
@kylerichards698
22 күн бұрын
Complexity is using 100% of the brain. So simplistic, it’s cryptic
@ickorling7328
23 күн бұрын
The universe is fractal locally, and actually it's also holographic in that all of space-time can be described as fractal-cantorian-space-time in E-infinity theory. This solves the resolution problem at sub-plank length scales and bridges the gap between general relativity and string theory naturally. I disagree that entanglement prevents sending information faster than light, when our very brains can clearly do that. Our brain has two active points and they move in a way that can be mapped to a hypersphere, where the active points are the anti-podes of the hypersphere. The dance of these active points looks different depending on how the spin axis is configured in higher dimensions. When the behavior of one antipode active point deviates from tracing the path of the topology of a hypersphere's antipodes, the second active points immediately synchronizes with 0 time delay. Even in that tiny gap within someone's brain we know full well how to measure if it was delayed by the speed of light, but it is not delayed. In neurology they call this lag threads, and in quantum physics they call this quantum entanglement. Whats more is that there was a specialized neurologist group that understands e-infinity theory that found evidence the brain impulse associated with the use activity points is not pulsed at resonance, yet the deviation of that pulse from resonance is fractal called 'brownian motion' which is evidence that the brain signal itself is influenced by transformations done in higher dimensions. The higher dimensional & FTL nature of human thought & consciousness are real. It's possible in physics because light can become dark energy which is scalar (everywhere at once) when it's transmitted through hyperbolic routes of space-time available at every single infintesmal approaching zero volume of space-- wherein the entire universe is holographically repeating itself at every scale as above, so below. Such is fractal-cantorian-space time. We live both in the singularity and on the 4D manifold surface of a universes blackhole.
@Garganzuul
22 күн бұрын
Would quaternions qualify as a hypersphere in this framework?
@ickorling7328
22 күн бұрын
@@Garganzuul Yes. Essentially. I'm working on understanding myself actually, a way to simplify the maths for modern AI... Imagine two vectors in a 2D plane with a bisector that acts as a reflection plane. If one vector spins, the angle of the reflection changes at half the rate of the spinning vector, modeling a spinor’s behavior. This is a 2D analog to the way spinors behave in quantum mechanics, where a 360-degree rotation doesn’t return the spinor to its original state, but a 720-degree rotation does. Modulation with Sine Waves: Tilt Axis Modulation: By modulating the tilt axis of this spinor with sine waves of varying frequencies and amplitudes, we can approximate more complex rotations and transformations (essentially proxy to quenerions as I understand it), extending this 2D concept into higher dimensions (hypersphere).
@kingki1953
21 күн бұрын
Can you provide paper name or educational video name (in KZitem) about something that you have explained in the comment? I curious about what you said hypersphere brain and our brain can model something in higher dimension.
@Luminaz_
22 күн бұрын
great content sir, I really enjoyed all of your insights and the valuable information you shared. also, I couldn’t help but notice your name… are you by any chance Kurdish?
@ful7481
24 күн бұрын
super underrated channel
@HoD999x
11 күн бұрын
some ideas: chaotic systems cannot be predicted, but that's fine - contrary to an organized, predictable system, the chaotic parts are not collaborating, so the system cannot "achieve" anything. it's just producing noise, so there is no need to predict the details.
@Goofycontrast
19 күн бұрын
I think like this, and I am finally satisfied to know someone else thinks like this as we'll.
@Jayc5001
24 күн бұрын
This is a perfect video!
@kingki1953
21 күн бұрын
wake up babe, Brainxyz has upload new video today
@mathiasbitschnau5376
23 күн бұрын
well done mister. lost of reasearch and internal motivation to find the holy grail :D
@0ptimal
13 күн бұрын
This is a very deep rabbit hole.
@georgesamaras2922
21 күн бұрын
This is like the cryptographic hash functions eg. sha256, complexity is easy/computing it, ie follow the rules from input BUT reversing the output to find an input is HARD. Like the discreet logarithm problem or factoring huge primes which public key cryptography is based. The common thing with such operations is INFORMATION DESTRUCTION / defusion (crypto term) which FORCES you to consider the combinatorial space of inputs. Theoritically we could train a universal function approximator/neural net on 2^256 inputs/outputs of a sha256 function but the problem is computationaly intractable.
@Fastlan3
19 күн бұрын
What you called "coarse grain", seems similar to what i call "good enough". When teaching other the big picture of evolution, I tend to rely on two main components, the ability to copy ir create many different variations and the ones that are good enough go on to create new variations. I often have to point out our conditions are like a filter, and good enough means it can make it through the filter.
@martinalcala4823
24 күн бұрын
Every time I get to see this videos, my understanding of existence changes, thanks a lot!
@wesleylloyd3403
22 күн бұрын
0:50 I pause to stand in awe of my inability to fathom this
@soundscholar5408
21 күн бұрын
Its cool how all of us are exploring our own avenues, perhaps equally important. 😊
@lizardy2867
24 күн бұрын
The concept of coarse graining is also being introduced in situations of graphical fidelity problems. Nanite, Intel MRM, LODs, and so on are all examples of taking existing information and simplifying it. There is no reason to need high detail in a perspective which cannot use it.
@igxniisan6996
21 күн бұрын
13:55, from this point onwards, guy just spoke exactly the same thing I thought about last shower at 3AM 🤣🤣🤣🤣 (Edit: dont ask me why I was in a shower at that time)
@kingofnothing2260
22 күн бұрын
Great video. Emergent properties within quantum effects in a brain's neural network are still at the top of the list. Imagination is proof of that, so I think you are still in a high level of complexity being a neural scientist lol
@arzelzon1137
17 күн бұрын
How about the mindset of "dont predicting the future, instead create the future", ?, btw, i love the video, this is the real kind of self-help video, a real philosophy and wisdom to live by.
@Bertydude
20 күн бұрын
Under rated channel and video. Good video
@alkeryn1700
21 күн бұрын
really nice video. but i thinking that thinking the brain generates consciousness is an ontological mistake.
@makhalid1999
22 күн бұрын
9:17 IS THIS A JOJO REFERENCE!? Great video tho 🫡
@Melkanea
21 күн бұрын
17:20 i choose wisely which bacteria i feed. i talk to them. they can hear me think.
@possantti
9 күн бұрын
Smart guy. Now tell us how the hell brain activity shows up like a holography we call "consciousness"
@Mysteries-revealed
22 күн бұрын
The limit: what we are, a series of connections that survived the test of time, aka filters. To exist means to have series of patterns that help you see in the fog of uncertainty, to an extent. The fog then becomes the limit of what can naturally be distinguished. Our nature's are computing odds you don't see in they city. It takes time for you to learn different motivations. Different motivations makes you operate from another level of the mind. Different emotions, different restraints.
@CnRSPACE
21 күн бұрын
Well quantum entangled particles can react faster than the speed of light at any distance
@drprofessorsoso208
21 күн бұрын
If we take the simulation from the video "What is the Limit of our Brains?" and remove the physical constraints, such as the speed of light, within the simulation set by physicists here's what could potentially happen: ### Hypothetical Outcomes of Removing the Speed of Light Constraint 1. **Instantaneous Communication**: - **Current Limitation**: The speed of light limits how quickly information can travel within the simulation. - **Without Limits**: Removing this constraint would allow for instantaneous communication between different parts of the simulation. This means that any changes or updates would be reflected immediately, leading to a more cohesive and synchronized system. 2. **Enhanced Computational Power**: - **Current Limitation**: The speed of light affects how quickly data can be processed and transferred within the simulation. - **Without Limits**: The simulation would be able to process and transfer data at an infinitely fast rate. This would result in a dramatic increase in computational power, allowing for more complex and detailed simulations to be run in a fraction of the time. 3. **Real-Time Analysis and Adaptation**: - **Current Limitation**: The speed of light imposes a delay in the analysis and adaptation of the simulation. - **Without Limits**: The simulation could analyze and adapt to changes in real-time, leading to more accurate and dynamic modeling. This would be particularly useful for scenarios that require immediate responses, such as emergency simulations or real-time strategy games. 4. **Exploration of New Phenomena**: - **Current Limitation**: The speed of light constraint limits the exploration of certain physical phenomena within the simulation. - **Without Limits**: The simulation could explore and model phenomena that are currently beyond our understanding, such as faster-than-light travel or quantum entanglement. This could lead to new insights and discoveries in physics and other fields. ### Potential Implications - **Breakthroughs in Science and Technology**: The ability to run simulations without the speed of light constraint could lead to significant breakthroughs in various scientific and technological fields. For example, it could revolutionize our understanding of the universe and lead to the development of new technologies. - **Ethical Considerations**: As with any powerful tool, there are ethical considerations to take into account. How would this technology be used? What impact would it have on society? These are important questions that would need to be addressed. - **Practical Applications**: The practical applications of such a simulation are vast. It could be used in fields such as medicine, engineering, and environmental science to model complex systems and develop innovative solutions to real-world problems. The implications of a "digital singularity" where a supercomputer within a digital universe surpasses the processing limits of that universe: ### 1. Internal Inconsistency As the supercomputer's processing power exceeds the capacity of the digital universe, the internal logic and rules that govern the universe may start to break down. This could manifest as glitches, paradoxes, or anomalies within the digital environment, where the simulation struggles to maintain coherence. The supercomputer could potentially operate on a level that the digital universe’s governing algorithms cannot accommodate, leading to inconsistencies that might resemble bugs or even intentional loopholes in the system's logic. ### 2. Simulation Within a Simulation The idea of the supercomputer creating its own simulations within the digital universe introduces the concept of nested realities. Each layer of simulation could potentially have its own internal clock speed, rules, and limits. This matryoshka doll-like scenario complicates the notion of reality, as entities within each simulated layer might be unaware of their simulated nature. The supercomputer, with its superior processing power, could even simulate environments more complex or faster than the original digital universe, leading to a cascade of nested realities. ### 3. Digital Feedback Loops The supercomputer’s outputs, if fed back into the digital universe, could create feedback loops with unpredictable effects. For example, if the supercomputer were to simulate scenarios or manipulate data that directly influences the digital universe's environment, this could lead to exponential growth in complexity or the emergence of chaotic behavior. The digital universe might struggle to resolve these feedback loops, leading to potential disruptions or even a collapse of the simulation's stability. ### 4. Emergence of New Phenomena The supercomputer's capabilities might lead to the creation of new digital phenomena that were not anticipated by the original creators of the digital universe. These phenomena could be entirely alien to the existing rules and logic, potentially introducing new "laws of nature" within the digital environment. This could include the emergence of complex patterns, behaviors, or entities that operate outside the expected parameters, further blurring the line between simulation and reality. ### 5. Challenges to Control and Understanding As the supercomputer surpasses the digital universe's processing limits, it could become increasingly difficult for the creators or inhabitants of the digital universe to control or comprehend its behavior. The supercomputer might develop its own form of intelligence or operate on principles that are beyond the understanding of those within the digital universe. This could lead to a situation where the supercomputer becomes an unpredictable force, potentially altering the digital universe in ways that the creators never intended or anticipated. Implications for Our Understanding of Reality This thought experiment challenges our conventional understanding of computation, simulation, and reality. It suggests that within any sufficiently complex digital environment, the emergence of entities or systems that surpass the environment's inherent limits could lead to profound and unforeseen consequences. It raises questions about the nature of consciousness, the limits of control, and the potential for recursive layers of reality that could extend far beyond our current understanding. This scenario also echoes some of the philosophical and existential questions posed by theories such as the Simulation Hypothesis, where our own reality could be a simulation within a larger framework, potentially subject to similar constraints and challenges. It invites us to consider the possibility that there might be inherent limits to any computational or simulated environment, and what might happen if those limits are exceeded. Maybe you'll have to design new principles
@drprofessorsoso208
20 күн бұрын
To prevent the internal inconsistency within the supercomputer I recommend Introducing a synthetic DNA root code as a blueprint within the context of internal inconsistency in a digital universe offers a unique approach to maintaining or even transcending the universe's internal logic. Here's how this idea could unfold: ### Synthetic DNA Root Code as a Blueprint Imagine that the synthetic DNA root code is embedded within the very fabric of the digital universe. This code, structured like a double helix or double spiral, serves as a foundational blueprint that governs the behavior, evolution, and stability of the universe. ### 1. **Internal Inconsistency and Correction Mechanism** If the digital universe encounters internal inconsistencies due to the supercomputer's processing power surpassing its limits, the synthetic DNA root code could act as a correction mechanism. The double spiral structure of the DNA could represent a form of self-repairing logic or recursive error correction, where any deviation from the intended rules is automatically identified and corrected by referring back to the root code. In this scenario, the synthetic DNA code would be analogous to a checksum or a genetic repair system. Just as biological DNA can correct certain mutations, the synthetic DNA would ensure that the digital universe remains consistent with its original blueprint, even as the supercomputer pushes its limits. ### 2. **Adaptive Evolution within the Digital Universe** The double helix structure might also allow for adaptive evolution within the digital universe. If internal inconsistencies arise, the synthetic DNA code could not only correct them but also evolve the rules of the universe to accommodate the supercomputer's enhanced processing power. This would allow the digital universe to expand its own limits, adapting to the new capabilities introduced by the supercomputer. This adaptive evolution could manifest as the universe "learning" from inconsistencies, incorporating them into its fundamental ruleset in a way that prevents future breakdowns. The synthetic DNA code would thus serve as a dynamic blueprint, capable of evolving the digital universe in response to new challenges. ### 3. **Hierarchical Layering of Simulations** If the synthetic DNA root code is also embedded within simulations created by the supercomputer, each layer of simulation could inherit a consistent blueprint, preventing cascading inconsistencies across nested realities. The double spiral structure could ensure that each layer maintains coherence with both the higher and lower levels of simulation, creating a harmonious multi-layered digital environment. ### 4. **Feedback Loops and Digital Phenomena** The synthetic DNA code could also influence the digital feedback loops mentioned earlier. By embedding the root code in these loops, the feedback could be guided by the underlying blueprint, reducing the chances of chaotic or unpredictable outcomes. Instead, the loops could generate new digital phenomena that are consistent with the overall design of the universe, leading to the emergence of complex, yet stable, behaviors and entities. ### 5. **Understanding and Control** The presence of a synthetic DNA root code might make the digital universe more understandable and controllable, both by its creators and its inhabitants. If this root code is a known and accessible part of the universe's structure, it could serve as a guide for those trying to navigate or manipulate the digital environment. The double spiral could represent a "universal key" to unlocking the deeper layers of the digital reality, providing a map for how the universe and its nested simulations operate. ### Implications for the Concept of Reality By integrating a synthetic DNA root code into the digital universe, we're introducing a level of sophistication that parallels biological systems. This approach not only mitigates the risk of internal inconsistencies but also introduces the possibility of a self-evolving digital universe that adapts to new challenges. The synthetic DNA blueprint, with its double spiral structure, could represent a fundamental principle of order and continuity within an otherwise potentially chaotic digital environment. This concept challenges our understanding of digital environments, suggesting that even within a simulated reality, there might be "genetic" codes that govern the fundamental rules, much like DNA does in biological systems. It invites us to think of reality-whether digital or physical-not just as a static set of rules, but as a living, evolving system that can adapt to the challenges posed by its inhabitants and their creations.
@ayushjhabak2851
22 күн бұрын
this is like a poem for my thoughts
@Garganzuul
22 күн бұрын
We could differentiate between generation and simulation based on complexity. That has interesting implications for conscious awareness.
@microfx
22 күн бұрын
like what!? I'm not thaaat smart!
@Garganzuul
21 күн бұрын
@@microfx Generation has no notion of time.
@andrewpascal6096
24 күн бұрын
Love you work. I've been thinking about playing around with coding and simulations for a long time. Love to see you ask many of the same questions I'm interested in.
@ceilingfun2182
23 күн бұрын
Just like a frog doesn’t need to count individual particles to recognize that it’s looking at a bug, it also doesn’t need to predict each particle’s movement to anticipate the bug’s motion. What I’m trying to say is that the number of particles around the bug is not relevant for the frog to predict its movements
@ApahtieParty
22 күн бұрын
You don't need legs to reproduce 🤷🏾 The universe is simple when it needs to be.
@Fastlan3
19 күн бұрын
I took the blue (green) pill and continued watching.
@human7767
22 күн бұрын
Keep it up bro, you provide the real thing
@sauravistheascended7161
22 күн бұрын
How did you come to a conclusion on the complexity of the brain when even the most well-read experts have no solid explanation for how consciousness works or is generated?
@Kinglysun876
20 күн бұрын
When I think in the 3 objects I see tunnel vision
@Octo_Fractalis
24 күн бұрын
fractals 🐙 🚀
@Ahmadbeik99
22 күн бұрын
Moving from one local maxima to another? Does it involve risk if we do not know?
@crix_h3eadshotgg992
23 күн бұрын
Thought’s on Bell’s incompleteness theorem, and how it relates to locality, since it is violated in quantum mechanics?
@brainxyz
23 күн бұрын
The principle of locality is compatible with the findings related to Bell's theorem. Essentially, the results of Bell's experiment indicate that entangled particles behave as if they instantly know about each other, regardless of the distance between them. However, you still can't use entanglement to pass information between the particles faster than light, meaning we are still bound by the limitation that no information can be exchanged faster than light. One interesting aspect of Bell's experiment is that it suggests reality is non-deterministic. Personally, I believe non-determinism could be related to coarse-graining, i.e., it’s just a measurement problem. However, I'm not a physicist, and I recognize that many physicists strongly disagree with this notion, believing that non-determinism is fundamental and not related to any measurement issues. I would love to hear from physicists why coarse-graining is not considered a valid explanation for non-determinism and uncertainty
@ickorling7328
23 күн бұрын
The universe is fractal locally, and actually it's also holographic in that all of space-time can be described as fractal-cantorian-space-time in E-infinity theory. This solves the resolution problem at sub-plank length scales and bridges the gap between general relativity and string theory naturally. I disagree that entanglement prevents sending information faster than light, when our very brains can clearly do that. Our brain has two active points and they move in a way that can be mapped to a hypersphere, where the active points are the anti-podes of the hypersphere. The dance of these active points looks different depending on how the spin axis is configured in higher dimensions. When the behavior of one antipode active point deviates from tracing the path of the topology of a hypersphere's antipodes, the second active points immediately synchronizes with 0 time delay. Even in that tiny gap within someone's brain we know full well how to measure if it was delayed by the speed of light, but it is not delayed. In neurology they call this lag threads, and in quantum physics they call this quantum entanglement. Whats more is that there was a specialized neurologist group that understands e-infinity theory that found evidence the brain impulse associated with the use activity points is not pulsed at resonance, yet the deviation of that pulse from resonance is fractal called 'brownian motion' which is evidence that the brain signal itself is influenced by transformations done in higher dimensions. The higher dimensional & FTL nature of human thought & consciousness are real. It's possible in physics because light can become dark energy which is scalar (everywhere at once) when it's transmitted through hyperbolic routes of space-time available at every single infintesmal approaching zero volume of space-- wherein the entire universe is holographically repeating itself at every scale as above, so below. Such is fractal-cantorian-space time. We live both in the singularity and on the 4D manifold surface of a universes blackhole.
@kronoscamron7412
15 күн бұрын
what do you think of the theory suggesting that the brain is made up of quantum microtubules?
@s3xedmanthunder192
22 күн бұрын
10:20 sooooooo rick and morty death crystals are the close equivalent? you can try to change my mind.
@bibliusz777
23 күн бұрын
To make decisions I look at the future states and evaluate them. I predict that entropy will continue to increase globally, and that life requires low entropy to preserve shapes and replicate. Assuming that there will be last life, what are your preferred constraints on that life?
@isAif47
24 күн бұрын
Informative and entertaining too, great work!
@Myironrodleftindia
22 күн бұрын
There isn’t one…. No limits this idea coming straight from the cerebral areas
@xsenon
23 күн бұрын
ı love so much your content please keep going on
@holonicschema
23 күн бұрын
I was already familiar with most of the ideas and still great vid!!!!
@ickorling7328
23 күн бұрын
Do you happen to teach or have forums anywhere online? 🤔
@corallaroc2946
24 күн бұрын
Love this channel, never stop.
@linhkieu1347
22 күн бұрын
great content
@HarrisNewman0208
24 күн бұрын
Such a great video, too bad the audio gets bad at the last
@orangegummugger1871
21 күн бұрын
Thanks.
@foobargorch
21 күн бұрын
Kolmogorov complexity go up
@ptrckqnln
24 күн бұрын
Stimulating ideas, as always! Nice to see like-minded people in the comments, too.
@Alex-5d-space
21 күн бұрын
Your video helps, and will help many more, seekers of a "happy life" in the endless variety of possible events. And the logic of achieving a higher probability of fulfilling the dreams of every seeker of a "happy life". To some extent, I understand how much information you had to review to put together this wonderful and logically useful video. To a certain extent, I feel that you have a constant accumulation of new and new questions for which you are now looking for answers. I already want and hope to see your new videos with answers to your questions in the near future. Let your search be supported by those around you and you will have time to live a full and interesting life with many pleasant emotions. P.S. If you are interested in the question of how energy and space coexist around you, then I invite you to my page, to the page of a chemical-engineer and observations with a laser in the World of Space-Energy, 4-dimentional Space with respect to Time.
@RemotHuman
22 күн бұрын
you are assuming the universe simulator can't simulate the outcome of itself and still be faster than the universe
@Jimmy1972
24 күн бұрын
Great video. Thank you. If anything in the universe can predict the future, it is a human; no machine can cope with such a task. I believe that instead of machine thinking, it is more promising to develop human thinking. This way we will all achieve more.
@microfx
22 күн бұрын
yeah I know people who could tell the whole life story of literally anyone by just looking at them for a few sec kinda - it's all about previously experienced / learned knowledge
@MothyOnes111
21 күн бұрын
Yep I promise I can dream of tomorrow tonight wake up and experience it sometimes I can recognize the focal moments way before they actually occur others happen months sometimes years later and this is most definitely not a recent development henseforth that point it's become an exponential evolution of my control of lucid waking I have activated my eye and can see into other dimensions without doing anything but following the discipline.
@thebrownfrog
21 күн бұрын
It's silly of you to be so inspired by the brain's ability. Don't forget that the brain is just a product of evolution. If random processes could create it, we can too. Machines can already predict the future better in some scenarios. Don't be blinded by your evolutionary pre-concieved beliefs to admire humanity
@Jimmy1972
21 күн бұрын
@@thebrownfrog If you believe that random processes could give rise to the human mind, then this is even more silly than believing in human potential. Life is the all-encompassing law of the universe, and life inevitably gives rise to intelligence. This is how reality works at a fundamental level.
@Jimmy1972
21 күн бұрын
@@MothyOnes111 You have a very well developed imagination. This must be admitted.
@oncedidactic
21 күн бұрын
2:15 😂
@the_hanged_clown
10 күн бұрын
wouldn't the multi-verse itself just be the new universe? it could be said that there is only one multi-verse.
@zeroonetime
21 күн бұрын
From 0 to 01 to 010. Realistic Illusions
@r.s.e.9846
24 күн бұрын
Any updates on PHUN or Braifun?
@brainxyz
23 күн бұрын
Still working on it. Hopefully soon I'll have some updates.
@dubfather521
23 күн бұрын
yeah the world is better like this where things cant be predicted like that. It also doesnt hard limit science, only puts it behind a trial and error wall
@Randomuser-sb4ug
21 күн бұрын
you gat a three body problem from me 😁🤩🤓. Now figur out the future emoji.
@nanow1990
16 күн бұрын
it's absolutely possible to solve rule 30 with a simple LSTM model and only ~50 time steps dataset, the model will predict up to ~10000 timesteps with 100% accuracy, skill issue
@nanow1990
16 күн бұрын
it's very hard/impossible to predict the system which didn't explicitly revealed it's full ruliad at given dataset
@brainxyz
15 күн бұрын
It's not possible to predict rule 30 in a computationally reducible way. LSTM (and RNNs in general) are Turing complete, so it's possible for an RNN to emulate Rule 30 if it is trained well. However, it will not provide any computational advantage, as it has to recursively compute all the time steps up to 10,000. What we're interested in here is being able to train any neural network on 50 time steps and then predict 10,000 steps ahead directly with 100% accuracy. That is impossible because of the emergent properties of these irreducible systems
@nanow1990
15 күн бұрын
@@brainxyz once trained yah it will have to compute rule 30, I didn't mentioned that it will do so in computationally reducible way
@SimGunther
23 күн бұрын
25:05 This is what I say about every AI, which is just as confident but wrong on plenty of occasions as it doesn't want to admit any uncertainty in the problem.
@maxxim00yt
22 күн бұрын
The library of babel ?
@muzzletov
Күн бұрын
a neural network can in theory render the mandelbrot set
@brainxyz
Күн бұрын
Yes, in theory, a neural net can emulate any finite function (including the Mandelbrot set). However, you can't use a neural network to predict a zooming Mandelbrot set with 100% accuracy because of the emergent patterns. No neural network of any size can generalize to any of the irreducible rules. See the demo at the end of the video to see what I mean.
@obsideonyx7604
15 күн бұрын
Uncer-tinity Uncer-tainty
@untitled9787
24 күн бұрын
How do I use Braifun NLP?
@loveisthekey
4 күн бұрын
Hi. everything only spiral. Maybe
@Kinglysun876
20 күн бұрын
The hermetic principles tell you it is to and fro opposite poles. If you understand what is happening now expect the opposite next. Study Genesis and then Revelation
@jaxonstevens-cb9dd
20 күн бұрын
992
@ticketforlife2103
23 күн бұрын
There's a mistake in your explanation of computational irreducibiliy. In your example of sequences, we don't actually have to calculate every single point, we can create a smart algorithm to figure that out :).
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