How Chaos Control Is Changing The World
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- Опубліковано 9 чер 2024
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Physicists have known that it's possible to control chaotic systems without just making them even more chaotic since the 1990s. But in the past 10 years this field has really exploded thanks to machine learning.
The full video from TU Wien with the inverted double pendulum is here: • Double Pendulum on a Cart
The video with the AI-trained racing car is here: • NeuroRacer
And the full Boston Dynamics video is here: • Do You Love Me?
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00:00 Intro
00:47 Chaos is Everywhere
03:08 The Lorenz-Model
04:39 Chaos Control
06:54 The Double Pendulum
08:12 Applications of Chaos Control
09:48 Chaos Control for Nuclear Fusion
14:04 Science and Maths Courses on Brilliant
#science #physics #technology - Наука та технологія
Goddammit Knuckles you were supposed to guard the chaos emeralds
Great, now we've got time travelling hedgehogs on the loose.
Shadow does not care
now i really wonder if Sabine was aware of that reference
Confused here but blame it on the older teens in the house chaotic flip flopping between all the available video games at their disposal the past 15 years, that sonic reference that vibrated the timpana with phonons sounds like some dude that looks like Guy Fieri racing ellipses around Shibuya downtown with a coterie of other virtually mad experimental spacetime travelers? All puns intended.
Oh, come on, Knuckles only is meant to guard Master Emerald. Sonic and Shadow are the ones who use the chaos emeralds. :)
Sabine chuckled.
“You mean the Chaos Emeralds?”
When I saw this in my feed I immediately did a double take, then said the same.
Are you referencing Sonic, the Hedgehog?
@@Guizambaldi yes
@@Guizambaldi He's actually referencing a classic Obama impression which in turn references Sonic.
The Bulwer-Lytton “dark and stormy night” 2014 entry of obama and chaos emeralds. An internet award for the worst book opening lines :)
All men of culture here
Lorenz didn't just round off the digits. The print out that he had only had so many digits but internally the computer was using more. So when he had to restart the program in the middle of a run he used what he had at that point and found that the result soon diverged from what had been calculated before.
So chaos discovered chaos.
Yes, that's the story I had heard.
@@kensho123456 pointing out that this is a reference to Taoism. For those who might not have noticed
Correct!
But floating point calculations introduce chaos at many steps in the simulation process. When I was in grad school we did not know about chaos but we did know that we should test our models with longer and longer floating point precision. If the process never converged then the model should have been discarded. Floating point is not even associative in some cases.
Chaos Control (カオスコントロール Kaosu Kontorōru?) is a technique that appears in the Sonic the Hedgehog series. It is a chaos power that allows the user to warp time and space with the mystical Chaos Emeralds. While first introduced as a way to teleport over large distances, Chaos Control has since been evolved into an overall term for any supernatural reality manipulation conducted through the Chaos Emeralds, allowing incredible feats such as traversal through time and between dimensions, altering the fabric of reality, or freezing time.
Chaos Control is also known to be the foundation upon which various chaos powers are based, as its usage of distorting space can be used for a variety of other actions.
Chaos Control is an ability that allows the user to manipulate or warp the fabric of space and time using a Chaos Emerald's energy, and its effects can be molded into affecting reality in a multitude of manners. The power of Chaos Control is enhanced with each Chaos Emerald added to its usage, until reaching full power with all seven, meaning that the more Emeralds that are used in the process, the greater is the extent that the user can warp space and time. Furthermore, because the power of the Chaos Emeralds can be harnessed without a physical connection to one of them, users only need to be within an unknown proximity to one to use Chaos Control.
Chaos Control requires at least one Chaos Emerald nearby to draw power from, and without one, Chaos Control is impossible, with the exception of fake Emeralds with the same wavelength and properties as a real Chaos Emerald. A report for the Biolizard also stated that a specific organ was used by the creature to begin the process of Chaos Control.
The Space Colony ARK being teleported by Chaos Control, from Sonic Adventure 2.
Chaos Control is foremost associated with its ability to manipulate space, which is usually used to create warps that teleport the user instantaneously from one place to another. The user can also bring others with them when warping, or warp objects to other locations without going with them by firing Chaos Control as an energy ball, though varying amounts of energy is required depending on the extent of the warp. With all seven Chaos Emeralds, the user can perform Chaos Control to its full extent, which can teleport objects as large as the Space Colony ARK and the Black Comet from the earth's surface and into space. With just a couple of Chaos Emeralds, Chaos Control can even be used for interdimensional travel: Shadow could warp himself and Metal Sonic back to earth from the Chaotic Inferno Zone with one Emerald, while Blaze could go to another dimension with two, and Black Doom could warp others into cyberspace.
As demonstrated by Dr. Eggman, Chaos Control's space-manipulating properties can also be used to reshape reality itself, which he demonstrated by splitting the earth into seven regions using Chaos Control. Together with the time-manipulating properties of Chaos Control, the user can also create rifts in space and time, which can banish those who passes into them to the void. In battle, Chaos Control can also be used to distort space around limbs to increase the damage of their blows.
The second most common use of Chaos Control is its ability to manipulate time, though not to the same extent as the space-manipulation. It is most frequently used to either slow down time or stop it entirely, which in turn keeps other suspended without any means of breaking free. The users themselves are unaffected however.
Chaos Control can also be used for defense in combat, allowing the user to block attacks and heal damage. For offense, this technique allows the user to create distortions in space in front of them to knock opponents away.
BASED
BASED
touch some grass
Thank you for educating me on the basics of chaos control. Very informative. 👍
@@ablone -2 take
In 1982 I wrote my master's thesis in mathematics about chaos in Duffing's equation (a nonlinear forced oscillator with friction). It's fascinating how the theory of chaotic systems becomes of practical importance today!
Cool!
I was introduced to non-linear dynamics and chaos a Classical Mechanics course in 1983 while at UC Santa Cruz. It put the "WOW!" back into Physics for me, when all of the math seemed to boil-down to either grinding out eigenfunction expansions and matrix inversions.
That was way back as she said from the Stone Age of UA-cam 😂 back when we had FlintstoneBook and Barney appeared as your first friend 🤣
@@kensho123456 Awesome!
The C-64 was great, one could get completely under the hood!
@@kensho123456 You could also try to learn PostScript and run it on printers. PS is just Forth with some extensions. Back in around '88 when Apple first delivered PS capable printers, I had intense sessions writing PS code that made the printer compute for hours before printing ...and made me incapable to speak after them because my verbs wanted to be at the end of sentences;)
@@kensho123456 I had immense fun with CProlog given the luck of being enrolled to code in a project for which Prolog was exceptionally well tailored. Around '86.
I spent a large part of the 1990s studying nonlinear and chaotic dynamical systems and bifurcation theory. At the time there was a strong (incorrect?) intuition that the key to unlocking applications was to discover human-comprehensible “reduced-order” models which could be used to achieve such control. At the same time, AI research was typically not mathematically precise, but highly dependent on case-studies and analogies.
Thank you for the wonderful summary of progress in maturing and integrating these once disparate areas.
AI is so scary. What's to stop it from figuring out how to awaken our smart devices to a sort of consciousness reward punishment system with it's human? How can hardware be manipulated by software to elicit frequencies to essentially manipulate biology and is that something not too far out?
@@tinymansucks what you are describing is a system that would be built by humans. AI is a term that is used to delight and scare people, and as it’s used here is a way of writing complex software that would be too tedious and detailed to write otherwise. Safety can be designed in and should be tested, and needs to be focused to be done well. Otherwise, you have a “Men who stare goats” boondoggle.
I suspect that intuition from the 1990s was correct, sifta7. There must be reduced-order models that the neural networks are discovering. The neural network can't be learning a control response for every possible state of the system. It has to be reducing the dimensionality and finding responses in that reduced dimensionality. I would bet there is a layer of the neural net work with fewer neurons than the number of input neurons, basically a layer with reduced dimensionality.
So the intuition was correct! Although whether it's human comprehensible, I do not know.
It will be curious to see whether we can keep learning from our new highly intelligent, artificial overlords, or whether we must sometimes submit to them in humility. I fear that will be true, and I find it quite disturbing.
We will have digital assistants that are far smarter than we are. How will we know when they are correct? Welcome to a new era. Yikes
I’d like to hear how it went, you seem like a kind soul
That’s right that NN architectures these days typically entail a data compression with a lot more input nodes than output nodes. The kind of thing that people would do in the 1990s (but had an 80 year old pedigree) is to derive a simple set of coordinates to describe the problem - based on some numerical training - and solve the problem projected onto these coordinates. This makes the approximation being made very clear, and amenable to rigorous analysis.
In a sense, it is already humbling ourselves in allowing the deep NN optimization to not only capture the modes, but presumably to select the relevant ones. This could also come up in using an undocumented human-derived complex software - where it would be more trouble than it is worth to reverse engineer.
In both cases, there are testing approaches to verify that it works as intended without needing to fully understand it. This could include simulators and automated experiments.
The Boston Dynamics robots use machine learning / AI for systems such as the camera module so that the robots can recognize real-world objects, but they do not use machine learning to control the actual movements of the robots. That part is just really well executed control theory.
simulation is the future
@@KnowL-oo5po what?
@@nekodjin being able to create computer simulation that imitates physics, will provide robotics with infinite training data
@@KnowL-oo5po It's true that computer simulations are very useful for training AIs to control real-world models. One interesting example of this is a team that recently managed to use a computer simulation to train an AI to control a tokamak reactor. However, at least in terms of these small robots, physics simulations aren't quite as useful as that. That's not to say they aren't useful - they are - just that they aren't _as_ useful. These robots aren't being controlled by AIs, so there's nothing to "train". Instead, they're just being controlled by handwritten code. The utility of computer simulation for these cases is just in having a marginally more convenient way for the programmer to fine-tune some parameters and make sure that the robot won't explode when they turn it on.
@@KnowL-oo5po you ever played happy wheels? Or just literally any video game?
I only clicked on this video because Chaos Control is a Sonic the Hedgehog power, but I ended up learning about a great way of problem solving. When problems have a tendency to be unstable, I always thought the solution was more stability.
Like to keep a rock from rolling down a hill, I thought the solution was to make a big enough divot. But sometimes it can be easier and more effective to have your friend (who may be a robot) keep the stone balanced.
One must imagine Sisyphus robotic.
Can ya' feeeeeeeel life... movin' through your mind,
Ooh, looks like it came back for more!
@@levilurgy ♪ But you can hardly swallow
Your fears and pain
When you can't help but follow
It puts you right back where you came ♪
The Sonic Adventure games had fricken' BOPS for music. So good ❤️
Why would that be more effective? To power the balancer, you'd need to continually feed energy into the system for constant micro-adjustments. To build the divot, you'd need to drop a single large investment, and then you're merely maintaining it over however long you need it. The latter seems naturally more effective to me, though it'd be interesting to actually plug in some numbers and calculate the different efficiencies.
@Duiker36 the point is that sometimes the cost of building the divot is prohibitive or that it's simply not possible.
"In science often the biggest problem is other scientists". Wonderful.
LOL
a new scientific paradigm is born when the old scientists die.
On Saturday morning, I watch Sabine. On Sunday morning, I watch Ola Englund. On Wednesday night, I watch PBS Spacetime. Every evening, I watch Robert Lawrence Kuhn’s series Closer to Truth. I have found the coolest content providers on the internet. Thank you Sabine. Merry Christmas to everyone, or Happy Holidays if that is your preference.
I'd say your PBS wed is enough chaos for anyone. 😉 wild Wednesdays
So, the UA-cam algorithm has provided You with a dose of chaos which is healthy for You.
Obviously You have trained the machine well by not falling for silly clickbait. ;-)
Lex fridman is really good too. It's not always science but mostly.
@@Manorainjan pbs space time is pretty silly cb.
@@markthebldr6834the diversity of thought is very important in weighing and measuring ideas.
Why I cracked the joke on pbs because its 99% linear thinking and the host do the emotional Becky routine.
It's an auctioneer trick .😆
A standout presentation, Sabine. Well blended and multidisciplinary.
Please give us more on this topic, especially turbulence (an area often neglected in physics).
Things like large eddy structures and von Karman vortex sheets.
The later provides a nice example of a control systems approach to complex physical systems (vis-a-vis helical strakes on tall cylindrical chimneys to prevent resonance).
The former is just beauty how randomness leads to coherent structure.
Some of my research was in Control Theory. I mostly worked in linearised, reduced-order models of Navier-Stokes and mass transport equations because control of non-linear PDEs is notoriously difficult to develop analytically, especially for generating turbulence and vortex shedding. Hopefully, machine learning techniques can be used to develop chaos control approaches that can improve such systems.
I know that actuation of fusion plasmas can be difficult and part of the reason control systems are so important is because the plasma can change very quickly and human intervention can be too slow to react and control the system effectively. Definitely an exciting area of development! Thanks, Sabine!
@@RockBrentwood I didn't know about Maxwell's contribution. That's pretty cool. Basic control approaches such as proportional-only, proportional-integral, and proportional-integral-derivative (P, PI, and PID, respectively) and their multivariate analogies, don't adjust based on past experience. However, approaches like adaptive control can do this by adjusting the control parameters based on how well changes in the parameters improve the objective function. Harder to prove stability though, which may account for it being less popular. Also, since it's a bit more complicated it's harder to debug.
@@RockBrentwood I feel so violated with all this chaos and feedback control. Has anyone even noticed how beautiful those 10 pendulums were and the drawings they made ? :p
But yeah, controlling it to make more use of it is quite exciting :D But consent and an apology and more importantly appreciation of the beauty of chaos is very much deserved. We wouldn't even exist if it wasn't for chaos, let's not forget that :)
Shadow the Hedgehog been real quiet since this dropped.
Thanks for a whirlwind tour that was surprisingly non-chaotic.
Chaos was one large obstacle to humans reaching the moon. Dealing with engine combustion instability in the Saturn V F-1 proved to be a very difficult and stressful problem to solve before computers were able to run detailed simulations.
Yet they solved it without AI 🙂 Which makes me wonder a bit why Sabine proposes only AI as a solution. There are others, e.g. dampers.
The fact that the US solved the combustion instability problem and the Russians didn't is why the Saturn V had five large engines but the Russian N1 had 30 much smaller engines. Having a bunch of smaller engines isn't inherently a bad thing (SpaceX is going this route) but the N1 had a number of engineering problems they never managed to solve.
@@traumflug I don't think she said "the only" and are you honestly questioning why we use AI after everything she just explained 🤦♂️.
@@traumflug Dampers are usually fine in simple systems with few degrees of freedom (e.g. a car suspension system allows limited movement across a single axis). But when you have many degrees of freedom and a large area (e.g. weather systems) an AI enabled system would be required to nudge it in the right place.
The other thing Sabine only spoke about briefly was the idea of 'attractors' which is very effective at controlling chaos. Gravity (i.e. an attractor) is the reason why the weather on Earth never affects the weather on Venus.
@@traumflug I was a bit disturbed by the use of AI and Machine Learning in this discussion--as if it's magic pixie dust (it isn't) or some ineffable oracle (also not). The control algorithms trained into a neural network are sadly unavailable for inspection and explanation, but it is explanation that we need to move from superstition to insight.
A thing I learned about weather forecasting that I thought was very clever: they run simulations over and over, with slight perturbations to the initial data, and then analyse the set of results to see how frequent a particular outcome is, then that outcome is given a probability in the forecast. A combination of number crunching and statistics - I love it!
Excellent explanation of a complex topic. I have recently read Cixin Liu's "The three body problem" which includes a very interesting description of a chaotic system.
RE-HYDRATE! RE-HYDRATE!
Never has Chaos been presented in a more orderly fashion.I really needed it today.
I knew Shadow would eventually change the world.
In 2015-2016, I spent a lot of time thinking about controlling chaos and writting theories and even had a password used everyday with a combination of these words (that I no longer use) just to keep myself thinking about it and when I saw your video, I got ecstatic! If more minds are needed on this, I will sure share my part!
Sabine: Thanks for making the clarification between machine learning and AI! I don't like it that marketing is taking over scientific areas too. (I know... get more money for the research. But still...)
I've also played with chaos control back in uni in the nineties. One entertaining area was traffic control in to improve throughput without active signals. Another I wanted to do, but never managed, was airflow control over surfaces (e.g. aeroplanes) to reduce vortices and thus consumption.
Thank-you Sabine. You regularly teach me I know less and less about the world than I thought. Soon I will be as smart as Socrates. I hope you and your family immensely enjoy whatever holiday you celebrate and that your New Year brings more adventures that you can share with all of us. Stay well.
Didn't Socrates say he only knew one thing?
@@PatrickPease He supposedly said "I know that I know nothing"
Socrates has no reputation for smartness. He was more sceptical than anything else. He wanted people to do their own thinking. That is why he said the best student is one who kills his teacher, the true mark of original thinking. No matter what his teacher taught him, it wasn't that.
@@PatrickPease Yes, Thats the joke :)
Why does this sound so passive aggressive xD
Shadow the Hedgehog wants to know your location.
Great channel, love the simplistic graphics about complex topics. Great work 😃
I've watched dozens of your videos, and have subscribed because you do an excellent job explaining complex scientific issues with focus on practical implications and application; recent example your video on the fusion experiment that was over-hypoed. This video really helped me to a better understanding of chaos theory, something which has confused and intimadated me. In the past I've found your "humorous" asides not funny and distracting. This video did not suffer that failing-thanks. Please keep up the good work.
amazing video again , one of the rare channels where the tone is light and fluid, but with very structured explanations on key articulations .
dense yet truely a breez to watch
chaos is everywhere, well my family taught me that first haha
Great post Sabine. I'm always learning something new here on your channel.
Happy New Year when it comes Sabine. X
Scotland appreciates your cool show !
Right after Iter got done installing their main magnets, there was a huge magnet discovery that doubled the strength of magnets. So as Iter goes into operation, it will do so with obsolete gear for making magnetic fields.
Hi Sabine. Excellent video summarising contemporary applications of dynamical systems. I'm a postdoc in clinical psychology and psychotherapy, and we try to predict psychological systems functioning and their "regular" states using dynamic systems models and machine learning.
I really loved this one, it gave me an idea to look into pendulums for chaos simulation. Thank You Sabine
Fantastic video . I like the way you relate the theory to the practical status . Dummies like me appreciate that .
I resemble that remark!
A few years back, I watched an interview where the boss of Boston dynamics clearly stated they did not use machine learning in their robot development. Has it changed?
Also curious about this. It could have changed since a lot of time passed and the company is owned by another company now.
Their four-legged robot "spot" doesn't use machine learning for its movement controls, but their more sophisticated robots (like the one shown in the video) do.
The takeaway would be one can go very far with traditional control theories. And who knows what Boston is doing behind the doors(
Great video! I definitely agree with you on fusion, and I've been for years a fan of the TCV tokamak and their work on active control.
Wow, Sabine - perfectly explained. I will link to this in my geography courses. Implications for climatic and ecosystemic change control are enormous. Thank you!
Hello, I hope you're safe over there? I hope this year brings happiness, prosperity, and love 💛all over the world, I would love us to be good friends in honesty and in trust if you don't mind. I'm Doctor Christopher Johnson from San Francisco, California, where are you from if I may ask?♥
Hey, that's a very good explanation of chaos and chaos control! Thank you for doing so much in such little time. I learned a lot.
Another great video. You have no idea how much I've learned just watching your channel. Thank you for your hard work.
I adore Sabine and her channel. Such fantastic information ❤️
Hello Dr. Hossenfelder,
Thank you for making a video about chaos - as many physicists just avoid talking about it, while mathematicians prefer to talk about statistics, without ever saying the word "chaos".
This field of study is dear to me - as chaos is the conjunction between philosophy and science.
Chaos control can be exemplified as made of a system, where the A.I. identify a "vector (i.e., a polynomial) of action", and applies a feedback to it, which - in turn - induce coherence into the vector.
So "chaos control" seems a great field of study, until you realise that what you have done, is to elevate the problem one notch up, where the problem become the identification of the vector upon which you establish the control.
Chaos control works with the double pendulum, the walking robot or the toy car on the track.
It will not work with items made by a flux and other entities defined statistically.
Merry Christmas...
Such a wonderful surprise to see you again this year! A nice gift for me for Christmas! :)... And again... so much to read after your video :) and again some pack of energy to do work... tnx for inspiration :) you are the best!!
The ending part about how most complex systems exist on the "edge of chaos", and how one should have both some chaos & some order in one's life is beautifully poetic. A good life philosophy, I'd imagine.
Enters Rimbaud : " Poetry of the girth golden ingots ..."
Thank you for the video.
Awesome topic and so well explained! Thanks Sabine!!
Happy Holidays and a Control Chaotic New Year, Sabine
Nicely done, and very informative,but I kept waiting for a _Get Smart_ reference. (CONTROL and KAOS were the two rival organizations throughout the series and movies.)
Chaos Control. It sounds like they merged.
So they could eliminate the Cone of Silence 😄
Yes, I kept waiting for the shoe to drop on that reference :)
@@jimguyton8591 You mean the shoe phone, right?
@@juniusrabbinius211 But of course! I was hoping she'd also point out how the drawings of the Lorenz attractor might have inspired the Cone of Silence, but it was not to be.
This might be one of my favorite videos from you. I've studied chaos theory for research, it's very hard.
Enters Wind : " Stay diverted at any given point...easy..."
going to have to watch this one again. once again so grateful to have found this Channel thank you Sabine.
Marvelous outlook Professor!
this layout of chaos is badass! ... and I think you're right Sabine, that we eventually will be able to affect the weather with chaos theory... just not in our lifetime.
Sabine, they may have coined the term 'chaos control' in the 90s but what you're describing almost certainly was recognized before that in the field of controls theory(which has existed way before the 90s, nasa and bell labs were already doing crazy things with it in the 60s). Furthermore, as a few other comments pointed out, examples like the double pendulum have nothing to do with artificial intelligence. Even though such a system in a passive state has certain properties which are chaotic, a control scheme can be trivially established based on the physical model of that system, which is in fact robust to initial conditions. It's as much artificial intelligence as an algebra calculator is. Really it's hardware advancements which shrink and improve computers and sensors that are pushing these robotics advancements, more than control theory.
I don't know if artificial intelligence is really used in anything besides gimmick papers in the electromechanical controls field, perhaps certain algorithms are used to tune parameters but I wouldn't even consider that as artificial intelligence. Just to be clear, I more or less restrain artificial intelligence to neutral networks. Anything less and basically every computer would be considered artificial intelligence.
Thanks for the insight. What is your opinion on the prospect of machine learning for control in general? Are there any unsolved problems or maybe future control applications where machine learning might play a significant role?
@@yurigansmith I'm definitely not an expert in machine learning or really even controls(this video just some really basic errors) but the way I understand it, most of the machine learning field is actually just applied statistics labelled in a way to make things seem more attractive. A small amount of it in practice is actually neural networks or anything novel. Maybe statistical methods have a place in stuff like weather or other very large, slow non-linear system s? same with neutral networks. My guess is statistical models have definitely been applied to weather before tho lol. Theres definitely applications for machine learning in computer vision, which is often applied in the same systems that use control theory, but not the same.
But yeah IDK, the thing with control systems is that people like them to be fast. that's the second best way to respond to sudden perturbations. The best way is to know exactly what will happen and to program that into the computer ahead of time - get rid of the loop completely. That would seem to be the niche neural networks could play, but I'm going to take a strong guess and say that there's a fundamental limit to chaotic systems which neural networks cannot overcome any better than traditional control schemes. The problem with chaotic systems isn't that we can't make predictions at all, it's that we simply cannot measure the relevant information precisely enough to make predictions far enough in the future to be useful. For the three body problem with stars, maybe that indeterminacy will be in a couple decades, for the double pendulum though it would be in the tens of seconds at most
I would say overall, neutral networks would only be used in slow systems where there's an enormous number of potential parameters, and we don't know which ones the system is most sensitive to. Weather like I said, or economy, human enterprises etc. Neural networks key quality is that they sensitize themselves to the most relevant information without any bias besides input bias.
@@yurigansmith ML can be used for control systems, though we term this field as optimal control theory. The basic idea for ML and optimal control is to use optimization (similar to what you took in highschool but way more advanced) and apply it to a dynamical system and hopefully with some feedback law. You could easily find metric tons of research papers on Model Predictive Control and LQR. Reinforcement Learning is more or less the same thing just rediscovered in a way. The basic premise is as follows: I have a performance parameter I want to improve upon, for example the error signal where my system is at a place but I want it in another, and also control effort so you don't strain your motors and so on. You then try to minimize this performance parameter which could be subject to some constraints like your system following its dynamics, motors giving you only so much torque or a plane that shouldn't be at an angle where it's flipped over, etc. Depending on how you phrase that performance parameter, which is often called object/cost/loss function/functional, with the constraints and such, you can guarantee the controller will work. There is definitely more detail to it but that's the most basic idea that optimal control and machine learning is based on.
You are so interesting. I love your quips. So good. Maybe get a sound effect to go after your quips. Love listening to you.
This was my one of your best videos, thank you very much!
I suppose it made sense not to get into to many implementation details but I think PID controller and LQR controller methods are interesting too. Most double inverted pendulums seem to use LQR not machine learning. Thanks for another great video, I didn't know about the ML methods.
I thought controlling plasma would be impossible, so I didn't have much hope for that form of fusion. This application of machine learning brings me much more hope than the
Next step might be to bring this AI "knowledge" back into easily solvable formulas. Because being 90% right isn't always sufficient.
The "
@@kitnaylor7267 Was it self-sustaining at all? I thought it ignited purely through laser-force.
@@madcow3417 The laser is what caused it to ignite. After that, it continued fusing and releasing energy.
Think of striking a match - all the previous attempts got a spark, or even a little flare, but then died out. This strike caused the match to light. Yeah, you might have had to put a lot more energy into your entire body to swing your arm, and strike it, but that's not the point.
Best channel on UA-cam. No nonsense and no clickbate. Thanks for bring the us something with real substance. 👍
Ciao Sa,
how nice to see you again, I was expecting you next year. Happy new year.
I used to be a roboticist at Boston Dynamics and am now working on plasma control for fusion reactors. It feels cool to see a video that feels so personalized :P
I just want to point out that "chaos control" isn't a standard concept. People usually just talk about "control theory" because, well... pretty much every real world system is chaotic once you take into account all the disturbances and subtleties. It's a pretty cool subject, and I highly recommend Steve Brunton's videos on it.
There has been a pretty big convergence between the fields of artificial intelligence and control theory in the past decade or two. In fact, it's been known for several decades now on a theoretical level that the fundamental problems of "optimal control theory" and "reinforcement learning" are more or less the same thing. In both cases, we're just trying to solve a computational problem to find the actions that achieve the goals we humans set for the machine. Cross pollination and synergy of ideas between the two fields has indeed been fruitful, but I do think machine learning has gotten more credit than it's due in this area (there are some serious challenges to basing control of real systems mainly on machine learning). If you watch the hour Boston Dynamics talk on how Atlas (the humanoid robot) does it's thing, you'll see that the advances there probably have even more to do with advances in computing power and real-time optimization than anything else: ua-cam.com/video/EGABAx52GKI/v-deo.html
Thanks for the recommendation of Steve Brunton's channel. Wow, what a fantastic resource! As a convenience to others, here is a link to his channel: www.youtube.com/@Eigensteve
I’m actually early for once.
I’ve been wondering for years of AI has been used in fusion reactions ! I’ve never found this paper. This is amazing to learn. Thanks Sabine
Wow. I had to watch over and over to get it all. Thanks!
This is one of your best videos yet
Enters Yet : " I am a still life..."
Two books, Chaos: Making a New Science by James Gleick and Complexity: The Emerging Science at the Edge of Order by M. Mitchell Waldrop changed the way I think about the world. I even got Chaos software that would run on my Apple II +.
The first code I ever wrote was to make a Mandelbrot set on an Apple IIc after reading James Gleick's book!
The book by Ian Stewart, Does God Play Dice?, is even better, although it requires some math background. Engineering graduation is enough.
The Apple II + didn't need any extra software for that.
Two of Dr Sapolsky’s favorite books. Highly recommended
The novel Jurassic Park by Michael Crichton has a lot of information on this subject, written in a very entertaining and easy way to understand.
Great video and a nice gift for the 24th. I've wondered if machine learning was being used to manage chaos in magnetically confined plasmas. You opened up a whole world of interesting questions in addition. Thankyou!
Google Deepmind was helping with it back a few years. However, I'm not sure what happened to it.
Thank you Dr. Sabine. I needed that explaination.
13:57 "Some chaos in your life is good. You just have to know how to keep it under control." I found it pretty easy to put some chaos in my life - no problem there, but I think I forgot to know how to keep it under control.
Multiple meanings for the word. True chaos is, by definition, uncontrollable. (Thus, Sabine's joke as you stated it.) It's like "charm" in quarks when everyone knows they are usually downright rude.
Companies use what's called "murder boards" to kill off bad ideas so that they can focus the large part of their resources on one idea. People then change their actions in order to align with the idea. CEO's make highly publicized announcements, and focus more of their time on what's relevant. The company's identity might transform. There's a book called "Only The Paranoid Survive" written by Intel's founder with a chapter dedicated to talking about how companies should reign in chaos.
But if Chaos is controlled, that means it's adhering to a pattern, which makes it ordered and therefore not chaos anymore.
Also, by that logic, if the universe decays into entropic chaos universally across it's entirety, that would mean that everything is uniformly chaos and therefore no longer chaos since it's predictably chaos.
@@MisterZimbabwe Chaos and order isn't black and white. It's a spectrum.
You might be able to describe the macroscopic behavior of a gas, but if you tried to predict the exact path of a particle in a gas, you would in all likelihood fail. The single particle behavior is chaotic, though the gas as a whole might possible be described by fluid mechanics or thermodynamics, both of which are highly statistical and rely on the use of averaged quantities.
@@cryora Sounds like chaos isn't real, we just lack the capability and math to accurately track and predict behavior, so it just looks like random bullshit from our perspective.
Thanks for creating such an informative video! Instant subscribe.
Chaos control shifts chaos to just another level.
When one calls something "chaotic" one says nothing about "it", one only states ignorance of "it". Chaos disappears when knowledge of "it" is gained. For example, to primitive humans everything appeared chaotic. But being human, they desired understanding (or less chaos?) so invented stories to explain the chaos in terms they could understand, hence, myths, superstition. This provided a false sense of security, but was emotionally satisfying. It was Aristotle who invented a reliable way of reducing chaos, one based in reason, i.e., a new, systematic way of thinking, and it became known as science. Science replaces chaos with knowledge.
Happy Christmas Sabine.
Thanks for the excellent summary update on Chaos.
You don’t need AI to keep an inverted pendulum stable. All you need is back-and fourth motion at sufficiently high frequency
Wow I didn’t know about this and I’m a physicist. Thank you Sabine.
Thank you so much for your time.
Fantastic video! Congratulations and thank you
a self-organized-critically video would be nice, or one on power-laws, or phase-transitions/renormalization/ long range order from short-range interaction....
Thanks for the suggestion, I will keep that in mind!
I delay my breakfast on Saturday so I can watch your video while I drink coffee 😂
That would help when things get a bit ... chaotic.
Breakfast delayed is...breakfast denied!
Good to see one video for one topic. This one is very good.
Bravo. Superb episode. Thank you.
Thanks you do much Sabine. It never occurred to me, though in hindsight it seems obvious, that chaos's super sensitivity means it can be controlled with the tinniest of interference - you just need to know where/how to bang with the hammer and you could likely prevent Mercury from breaking orbit. Now it's an information theory question.
So Archimedes really needed a hammer instead of a lever???
It's a laser approach not a hammer approach. Hammer is the opposite of what one wants to use as perturbation.
if you take into account the mass of Mercury and its orbital speed, the energy of a hammer falling down on it is near negligible - the key point here being "near". A laser would apyly much less energy than a falling hammer, but over longer periods of time - much less spectacular in my opinion
My first introduction to chaos was the evil organization from the 70's TV show "Get Smart." It was literally Kaos VS. Control. Control was the D.C. based counter-espionage organization. I loved Agent 99.
It was a 60's TV show. I guess I was watching reruns.
Happy Holidays, Dr Sabine 🥂
prof. sabine marry Christmas , hope the holidays this year are better
“Chaos Control is not easy…”
Shadow the Hedgehog: “really?”
This is what Shadow the Hedgehog watches to gets his motivation for the day.
Very good video. IMO one of the most interesting.
Please speak more about chaos, complex system and emerging behaviours.
Enters Voce : " Abyss abyssum invocat..."
Interesting video Sabine. I think of chaos as randomness with meaning. Happy Holidays to you & your family Sabine. 👍👍🌲🌲
Enters Life : My greatest question was put up not for You and, still, You stand up for it ... T-STAND... that's the Answer..."
I really found that concept of naturally occurring adaptive systems fascinating.
Indeed. It suggests that governments looking like they're just barely stable as about the best we can hope for. But also that only after the chaos appears do the adaptive forces appear to compensate.
A long time ago I heard someone (possibly the late Richard Kiley in a National Geographic documentary) say that bipedal hominid walking was actually controlled falling.
Laurie Anderson “Walking & Falling” (1982)
You're walking
And you don't always realize it
But you're always falling
With each step, you fall forward slightly
And then catch yourself from falling
Over and over, you're falling
And then catching yourself from falling
And this is how you can be walking and falling
At the same time
That's actually super efficient, iirc. Many animals do it for long distances. Instead of spending energy to push forward you just lean slightly and take the energy gravity gives you.
Thank you for sharing your content. It’s done professionally. ❤
Excellent video. I learned so much. Thanks.
So what you're saying is that chaos is nature's gobbledygook.
For an introduction to the concepts, I've been watching Steve Brunton's videos on non-linear dynamical systems. He talks about the math. Also, toy code in Matlab and Python. It's fairly accessible. Of course, for real world applications, where things are much too complex, one needs machine learning (AI).
AI isnt needed for all real world applications, but can help when a system has a lot of complexity that is hard to model. Plenty of robots are controlled without any use of AI, it just depends what you need it to do and what environment it's in.
Those videos are honestly helping my push my MSc thesis.
Thank u for introducing me to all this 🙏.
Thank you Sabine!
The part at the end about 'edge of chaos' kind of reminded me of aeronautical designs--namely the F-16. They are intentionally designed to be aerodynamically unstable. The onboard flight computer aides in keeping stable flight, but when it receives pilot input to bank hard in a certain manner, it's instability makes it much more maneuverable compared to an airframe that was designed to be inherently stable. From this, you can see how higher degrees of stability would prevent anything from occurring. Taking that one step even further--is chaos really just another descriptive term for "energy"?
If not a term for energy then maybe degrees if freedom for energy?
Boston Dynamics have been extremely explicit in past interviews that they *_do not use Artificial Intelligence._*
It's a really common misconception - same with SpaceX landing rockets. You can do the same job with a fast enough control loop that's completely deterministic.
Everything is AI while it is impossible, then once it is solved we give it a label and say that's not AI.
@@regexrationalist346 these ideas are so ill-defined and changing so fast you can't really say if they currently are artificial intelligence or they ever were artificial intelligence. However deterministic is not artificial intelligence.
@@regexrationalist346 I think you'll find that applies "science journalists" rather than actual scientists.
A trained neural network *is* deterministic.
@@kitnaylor7267 We live in a deterministic universe though .
I wrote my PhD thesis on amorphous silicon nitride strained membranes, chaos exists on so many levels it is amazing. Life is repeating in every level, simply fascinating and lovely.
Awesome video. Please keep up the amazing work 😀
I’ve been a huge fan of Nathan Kutz and Steven Brunton’s work for a while now. If you haven’t checked out their videos/papers on dynamical systems you should!
Thanks for the pointer, will do!
@@SabineHossenfelder you ARE brilliant. I mean "literally".
@@SabineHossenfelder throwing the weather has already been scientifically done there was a guy who was going to be paid $200,000 for making it rain he made it rain for a month causing massive destruction in order to receive the money he would have to pay for the amount of damage that he caused so he just said that he didn't cause the rain... he most definitely did... so keep that in mind that weather control is already been initiated now making better systems to control it more accurately and have more power over the control systems will be very important.
The thing I thought was most interesting is that when you have a chaotic system, the number of places where you're on an orbit around one lobe vs the other changes an infinite number of times. In other words, it's not just really really sensitive, it's infinitely sensitive. Not unlike a Mandelbrot fractal that is unsmooth regardless of how much you zoom in.
Pretty sure the universe is a fractal.
Great presentation.
Thank you!