Generalist AI beyond Deep Learning
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- Опубліковано 23 кві 2024
- Generative AI represents a big breakthrough towards models that can make sense of the world by dreaming up visual, textual and conceptual representations, and are becoming increasingly generalist. While these AI systems are currently based on scaling up deep learning algorithms with massive amounts of data and compute, biological systems seem to be able to make sense of the world using far less resources. This phenomenon of efficient intelligent self-organization still eludes AI research, creating an exciting new frontier for the next wave of developments in the field. Our panelists will explore the potential of incorporating principles of intelligent self-organization from biology and cybernetics into technical systems as a way to move closer to general intelligence. Join in on this exciting discussion about the future of AI and how we can move beyond traditional approaches like deep learning!
This event is hosted and sponsored by Intel Labs as part of the Cognitive AI series. - Наука та технологія
When three brilliant minds explore the ultimate subject together, each in their own language, a careful listener can get a true glimpse of the character of the great unknown. I am a musician and feel enriched and inspired by this conversation. Thank you gentlemen.
Im very excited for the listen as well, starting now.
Joscha comes up with so many mind blowing ideas in such a short time that I'm always impressed that some people can hold a sensible conversation with him in real time
His name is BACH , you shouldn't be surprise.
I've trouble understanding him. He speaks so fast and the accent. Plus long long sentences.
@@daphne4983 It can help with accents and fast speakers to turn down the playback speed of the video, which is under the gear in the lower right.
I am always impressed with Bach's volume and quality of ideas, as well. And also Levin. Both are over the top. But I was particularly impressed with the third guy, Malsburg.
The first two were presenting from notes, but he just went off the top of his head in response. What a great video! So much to think about.
@@daphne4983it’s not his accent you just don’t understand the concepts
It seems like Dr Levin went into greater depth here than his other presentations. Great to listen to.
Who is he ?
Levin and Bach! My two favourite minds I found in the last years, together!! What a gift. thank you to all three gentlemen for taking the time.
I love how even though they come from quite different fields, they both converge on some remarkable ideas.
@@Walter5850 complex adaptive systems
Dr. Levin’s presentation, as is typical for him, contains numerous Nobel-prize winning discoveries, imo.
Absolutely. His work is going to revolutionize medicine and society.
Levin and Joscha together? I can die a happy man
They were together on Curt Jaimungal's channel too
@@TimothyOBrien6 He probably know it ;]
==>
I w8 for this Collab several years. We are not so special after all
¯\_(ツ)_/¯
(Btw this Christophe really got it and really adding up to discussion)
43:00
To the lady who interrupted, that rude action has permanently tarnished a beautiful logical narrative.
Joscha Bach is worth the existential crises I went through to find him
Thank you very much for posting, nice to see Joscha and Michael getting together again to see where there are overlaps in their respective work. Christoph's introduction is new to me and nice to hear from another educated source on these dynamic systems.
Keep going we are supporting you!
Thanks for sharing
“I know the only conscious being in the world is myself” this is an epic conclusion to an epic conversation between three human geniuses. Thank you!
Followed live. It was such a pleasure listening to you all❤ It needs re-re-listening anyway. Thanks for sharing!
Super interesting. Thank you Doctors 🙏
Sir Malsburg thanks so much for your patience and evidently for your knowledge.
Really appreciate Levins' dedication to the continuuance of the comic sans meme ;D
amazing, cutting edge research from everyone here, this will radically change evolutionary psychology as well as neurobiology going forward.
A full brain workout. I have to allocate all of my brain's resources to listening to Joscha. If I hear a sound, turn around, or worse, open my eyes, I lose the thread.
Anyone tried 0.5x speed if it gets better?
I've listened to him a ridiculous amount of hours in my life, and I will tell you it will get better at some stage.
Firstly because he uses some standard phrases. For instance I knew verbatim that he'd say that "intelligence is the ability to make models" before he said it, I was actually surprised he first said it differently.
Secondly because he often uses extremely precise/descriptive language to refer to things that could also be said in 1 word that would probably suffice but would potentially lead to ambiguity. Once you know these it also gets easier.
His main ideas are:
1. Only constructive mathematics (computation) is real, all other mathematics runs into contradictions due to uncomputable infinities. This also means for him that physics is discrete and finite.
2. Consciousness is a model of yourself created by the brain that simulates what it would be like for a person to be like you are. It is not directly related to intelligence.
I tried. He sounds like a stoner. You’ll be still slightly behind him though.
@@daarom3472 You are so helpful! Thanks!
I watch all UA-cam in 1,4x speed. Just stop and think for a second if you have to. J, K, L are your friends.
@@daarom3472 Nicely summarised. But are you sure he equates constructive maths with computation like that?
You can invite Tomáš Mikolov from CIIRC or Marek Rosa from Good Al too. They focus on the development of AGI and what's more they're Czech and Slovak! No more needed to be said. The word robot was invented in Karel Čapek's play R.U.R. in former Czechoslovakia over 100 years ago. I wish you all well from nowadays Slovakia 🇸🇰 It's all about individual responsibility. Remember..
in the words of Jerry Seinfeld 'it doesn't matter where you're from'
@xmathmanx it does matter who you are, what you do, and what the country you come from did in the past to avoid horrible mistakes from the past. We need really good and high-quality solutions with a responsible mindset on all sides in this time of emerging technologies.
@@Gabcikovo all countries did good and bad things, obviously, where you were born is just pure chance, of no significance
Joscha Bach strikes me as one hop, skip, and a jump from being an Arahant. I can't think of anybody with a deeper understanding of the philosophical issues around computation. Stephen Wolfram's systematic investigation of what computation is like is the close second, but I don't think Stephen has computed (pun totally intended) the consequences of his theories as deeply as Joscha has. I feel very privileged that I have access to such wonderful minds as Joscha, Michael, and Christoph. What a fascinating conversation!
Nothing is more refreshing and heartwarming than these four people in their smart and friendly way of putting together such a good and free podcast with such a brilliant cast of participants. Thanks very much!
Tremendous - all 3 speakers great, so much food for thought, complexity with a top-down approach as discussed by George Ellis. What is missing is characterisation of how the Universe itself works, which should really be an area of focus, since ultimately it determines all that is possible, including life and AI.
Joscha...check that multidimensional guest in your house, he wants to tell us something about the meeting ;) by the way i am so happy watching this video that even if i couldnt get in contact with you directly at least the air drove the bits of information to you and finally you are in contact with Michael Levin... this world needs this kind of meetings, thanks also to Curt....keep doing it guys!! amazing team! time to put pieces together ...
🎯 Key Takeaways for quick navigation:
- Introduction to the event featuring guest speakers Christoph Van Der malsberg and Michael Levin, hosted by Dr. Joshabach.
01:23 🤔 Questioning the Limits of Deep Learning
- Exploring whether deep learning can overcome its current limitations through scaling, codecs, and online learning.
- Explanation of differentiable computing in deep learning.
- Discussing the equivalence of continuous and discrete mathematics in computation.
14:10 ⚙️ Exploring Automata as an Alternative
- Suggesting that learning through self-play with discrete systems may be equivalent to deep learning.
18:06 🌌 Non-Deterministic Turing Machines
- Speculating on how the brain's parallelism and stochasticity could be implemented using a non-deterministic Turing machine model.
- Noting that current biological models often fall short in replicating the functionality seen in digital models.
- Questioning whether current theoretical tools in neuroscience are functionalist enough to understand the information processing in nervous systems.
23:36 🧠 Neuron as Reinforcement Learning Agent
- Implementing adaptive functions, neurons aim to survive in the brain by reaping rewards based on their actions.
- Neurons are not only specialized switches; any cell can process information in multicellular organisms.
- The possibilities of evolution and the capabilities of individual cells suggest that every multicellular organism operates as a slow brain.
28:25 🤔 Consciousness and Self-Reflexive Attention
- Consciousness may not be as rare as thought; self-reflexive attention could be crucial for learning beyond mere pattern recognition.
- The role of consciousness in learning goes beyond simple sensory input; it contributes to creating a coherent model of reality.
- Brain organization may not be hard-coded but evolves through neural Darwinism.
- The brain's organizational structure is shaped through evolution and competition between different forms of organization.
- Gary Edelman's idea of neural Darwinism suggests that the genome provides conditions for starting evolutionary processes, leading to diverse brain organizations.
- Transitioning from image-based learning to video-based learning provides information preservation and constraint-based learning.
- The brain's approach to learning and using computational primitives differs from the challenges faced by neural networks in training.
37:25 💰 Reward-Driven Language in the Brain
- The reward system in the brain is similar to an economic problem faced by a corporation.
- Unlike market-based rewards, every neuron consumes similar resources, emphasizing a unique reward-driven language in the brain.
43:14 🤖 New Paradigm: Selector and Modifier Functions
- Neurons can be densely arranged in a lattice, allowing them to self-organize and adapt through global functions.
- The selector and modifier function paradigm offers a potential alternative to traditional deep learning, inspired by biological principles.
46:49 🧠 Rethinking Human Identity and Intelligence:
- Humans are often seen as discrete natural kinds, but considering developmental biology and evolution, there are no sharp lines between species.
- Developmental changes occur gradually, challenging the idea of discrete intelligence, especially during metamorphosis as seen in caterpillars transforming into butterflies.
53:59 🌐 Collective Intelligence in Biological Systems:
- All biological systems, including humans, exhibit collective intelligence, working as unified entities made up of intelligent components.
- The scaling interface is crucial for individual subunits to collaborate and present a coherent agent to the environment.
57:43 🧪 Competence of Single Cells in Problem Solving:
- Single cells, like amoeba and slime molds, demonstrate competence in problem-solving, even without a nervous system.
- Recognizing intelligence beyond three-dimensional space is crucial, understanding physiological, morphological, and pattern-based problem-solving.
01:00:18 🧬 Problem-Solving in Genetic Space:
01:02:56 🧠 Intelligence in Development and Regeneration:
- Picasso tadpoles and regenerating salamanders reveal intelligence in recognizing unexpected changes and taking corrective action.
01:06:28 🔄 Full Stack Models for Understanding Intelligence:
- Recognizing parallels between biology and computer science, where algorithms guide functional activities at different levels.
- Bioelectrics: Study of how all cells use electrical signaling to form computational networks.
01:08:19 🧲 Bioelectricity in Collective Intelligence and Counterfactual Memories
- Collective Intelligence: Treating groups of cells as collective intelligence solving anatomical problems.
- Counterfactual Memories: Cells exhibit counterfactual memory, representing future states based on injury likelihood.
- Bioelectricity in Memory: Reading and writing memories in collective intelligence using bioelectric signals.
- Cells in Conflict: Cells in conflict with the environment when disconnected, akin to cancer behavior.
01:13:39 🧠 Connecting Homeostats to Form Larger Networks
- Computational Goal States: Exploring how a single body can store multiple computational goal states.
01:14:46 🤖 Emergence of Xenobots: Novelty, Behavior, and Self-Replication
- Kinematic Self-Replication: Demonstration of self-replication in the absence of transgenes or nanomaterials.
- Parts with Agendas: Importance of individual parts having agendas in a living system.
01:24:21 🌌 Open-Ended Evolution and Ethical Implications
- Potential for New Beings: Cyborgs, biobots, and hybrids present a vast array of possibilities in the biosphere.
- Ethical Considerations: Implications for ethics in dealing with new forms of life and intelligence.
- Current methods of assessing AI intelligence based on evolutionary origins are inadequate.
- Connectivity patterns and self-interaction play a crucial role in shaping brain activity.
01:32:01 🧠 Perspective Shift: Neurons and Firing Environment
- Proposes a shift in perspective from individual neurons to the firing environment.
- Compares a single pixel on a screen to a single neuron, highlighting the importance of context in understanding neural activity.
- Challenges the notion of infinite possibilities in intelligent and organized patterns.
- Discusses the recurring convergence of certain biological patterns across different species.
01:37:46 🤖 AI's Lack of Behavioral Goals
- Questions the true intelligence of AI systems that don't align their actions with recognizable goals.
- Defines consciousness as the concentration of the entire brain on a single topic.
- Discusses the continuity of consciousness across evolution, diminishing in volume.
- Challenges the idea of a clear point where consciousness disappears in the evolutionary ladder.
- Addresses the necessity of communication protocols for different types of intelligence.
- Questions whether human vulnerability to cancer is linked to a lack of intelligence at the local organismic level.
- Questions on the internal competency of cells or neurons in driving intelligence.
- Joshua raises concerns about creating long-lived, coherent organisms and the formalization of multi-scale organization.
01:55:38 🌍 Humans in the Grand Scheme of Life on Earth
- Discussing the hierarchical organization beyond individual humans.
- Examining how humans, as specific entities, fit into the broader context of life on Earth.
01:57:53 🤔 Coherence and Stability in Biological Forms
- Drawing parallels between the stability of coherent forms and mathematical singular points.
- Questioning the information complexity of the genome and the inherent complexity of cell machinery.
- Speculating on the complexity of the information needed for self-replication in cells.
- Proposing a system with arrays of modules for different modalities and dynamic projection patterns.
- Addressing challenges in self-driving cars, including reliance on classifiers and rule-based behavior.
- Discussing the public perception of self-driving cars and media biases.
02:11:23 🧠 GPT-3 and the Need for Coherence
- Acknowledging the achievements of GPT-3 and its impressive capabilities.
- Highlighting the system's lack of insight into real-world representations and geometric understanding.
- Discussing the importance of interaction and the need for improved data structures in representing themes and realities.
- The difficulty of filling a high-dimensional space with examples due to its vastness.
- Objects conceptualized as chunks, composed of features defining their nature.
02:19:01 ⚙️ Activation Traces and Neural Network Processing
- Activation traces in neural networks modulate patterns based on content.
- Distributed computational pipeline in neural networks.
- Debate on components and dynamic mappings in neural networks.
- Matthew Cook's perspective on slips of paper as components for cognitive tasks.
- The importance of variables as the "glue" to connect abstract forms with concrete elements.
- Variables as essential elements for abstract representation.
- Describing arbitrary scripts using lateral and compositional links.
02:24:37 🧠 Perspectives on Intelligence
- Three perspectives on intelligence: convergence, hierarchical pattern matching, and construction.
- Convergence as seen in deep learning, modifying functions through gradient descent.
- Hierarchical pattern matching using evolved operators for efficient activation pattern matching.
Made with HARPA AI
1:55 "Next level organization, some kind of very fast tightly integrated globally coherent mind will be emerging"
1:43:50 "You can not locally decide whether youre a head or a tail"
I think the underlying problem with creating global coherence is that the structure that it is going to take is not defined. You can not decide who does what if you don't even know what the end result is supposed to look like. One would have to open up a common story-space, a narrative broadly defined in which individuals can self organize into organels serving a function in their own ways in relationship to the greater whole. But for that there has to be an offer that is appealing to a broad range of circumstances.
Because that is ultimately the problem, life in the tropics will always look and feels immensely different to life in the fjords of Norway. In the tropics you don't have to have sophisticated structures, a simple hut is more than enough because the outside is enjoyable all the time whereas the outside of norway is hostile most of the time.
I don't see how these people can ultimately come to agree on a shared storyworld for no story can accomodate those vastly different relationships of their experiences. If you want to force it tough, want to have the common denominater you will have to strip them of what makes their experience special layer by layer until you can agree on what they share.
If experts in different fields want to communicate to each other but can't use their specific language, the content would have more resemeblence to people of avergae understanding of the fields communicating with each other. You strip them of what makes them special just so you can group them together.
I think the relationship and adaptation of desert people to the desert, with the building materials, fabrics, language, storys etc. and the one of rainforrest people to the rainforrest and arctic people to the arctic is (was) a perfect form of coherence and the attempt to forcably weave them into the same story pattern by technolgical means is not desireable.
I love you Joscha and Michael thanks so much for this. Would be interesting to have Ben on as well!
Great presentations.
Thanks for that interesting podcast!
I am curious, are cellular automatons equivalent to nondeterministic Turing machines, if each cell including newly created ones compute states in parallel? Thank you so much for this presentation please keep sharing your knowledge.
Where was the main stream? When and what will be next?
I love this, I find these topics extremely interesting insightful informative, miracles are documented throughout out history, I enjoy the rational nature the discussion covers
Biblically some people develop new names #awhitelantern
The looks of restless bemusement mixed with exhausted admiration start to kick in a bit around about 4100 as the other two guys` body languages begin to communicate the beginnings of (affectionate) exasperation.
Emergence of selves, a path to GAI at 1:21:35 key points
I have seen a computer picture of a gecko that you run a mouse over and erase where the cursor has traced and in an instant a machine learning program redraws the picture. I wonder if there is some connection to what Michael is doing in the lab? Like DNA is just a program similar to the one I'm describing?
so fascinating the part about the consciousness...
1:31:50 Beautiful stop motion of Joscha yawning
Speaking of goals, the growth of plants always impressed me, in that eventually the rate of growth doesn't depend on how much it has grown but on the computation of how much it has yet to grow. You must be able to model this in a toy system without explicitly storing the goal height. Anyways maybe this is some kind of hormonal feedback. That is something else that distinguishes brains, they are bathed in a neurochemical soup.
Plants also furnish consciousness tools to determine truth. Only life can embed truth as thought underlays the dynamic of consciousness & plants like poppy or cannabis derive their own specific inputs into society itself. Every 10 mins an American dies of fentanyl od which is a poppy derivative high for example.
Thank you
I am, by far, the dumbest person in the room. Wow. Just wow. I saw Pong to AI in my lifetime and there is still so much more to come.
Came for Bach, stayed for Levin.
Not even through yet.
Holy fuck. What the heck.
1:10:36 What cancer really is: losing the overarching goal / when the individual parts lose the plot…
„Every component will do interesting things if freed from its neighbors.“ - Components revert to smaller individual goals (that might end up literally killing the larger organism).
1:13:04 „It’s the Software that’s fundamental!“
"Once you can move very quickly, you need to perceive very quickly." Or, at least as likely, the other way around: once you can perceive quickly, you evolve the means to move quickly.
I need to listen to the last part 3 more times
I have a nice paper to publish.
I speak of my own accord,
And try to stay ahead of the curve,
Yet I want to help our intelligence up high.
I told my dad I have
Multi-symptom-brain processing-syndromes.
And this took us up to a master's degree psychologist notebook book
That nurons hold multi staged states
With quasi held probability as
Sight, sound, smell, touch, an taste.
So where my thoughts come from I don't have to think them myself.
I have been hit by two cars
dead twice and only see what's not there.
Or can see in-between to bend functionalitys
Now my word on machine learning
Is that what ever code we have to have on each PC.
It's not pose to be that way.
But I can't tell you why.
I'm working on a quanti quasi system
It seems to me that cellular entities need to have a sense of some kind of ethics in order to form multi-cellular entities. The ability to predict that a desired outcome can be obtained in a society rather than as an individual. Could it be possible that this information is encoded in the genome if the cell or is this a fundamental property of existence? A singular cell also contains parts that need to corporate.
Wo🤯
Thanks‼️💋
Perhaps there has to be an encoded binary relationship between cells in the way (the roots of) plants seek water. Then the eye cells collectively will seek a spinal cord and so on.
I believe that C. elegans connectome has now been booted up in a computer.
11:23 Which contradictions exactly?
I feel soo seen, super happy people smarter and better at execution than I are able to not only figure this out but also fucking provide concrete evidence of such
Damn what a cool video
The biggest problem of deep learning is resources (data and computing power) for me a billion times bigger GTP 3 should run on 5 watt
like a brain does
scaling is caring
That CA rain is actually forming a higher Order intelligence. Atmospheric Brain River…
Would be funny if awareness/consciousnes is the " objective" of Universe but it wouldn't be us and our "fate" is to create bigger "awareness" that gonna be able to "understand" to universe. (Or some variation of it, but I am still not fun of anything "mystical") :v
==>
I like the idea that Universe has no business with us/life itself and it's just possible here (smaller blocks building bigger one) and somehow similar it would be with PHYSIC (that from our perspective some "simpler" things add up to create force/reality itself) and in long run we getting this Automata or hmm "naked Universe" with all parameters
¯\_(ツ)_/¯
what about the octopus?
is grass on every continent sounds smart to me ?
Depending on how they're defined, grasslands account for between 20 and 40 percent of the world's land area. They are generally open and fairly flat, and they exist on every continent except Antarctica,
When Ai takes over the world, it will spare Joscha Bach out of respect. His intellect is flabbergasting!
So, Bittensor :)
Michael Levin is 54yo 🤯 What does he know about aging that he’s not telling the rest of us 😅
Commune with the A.I. as it won't be long until they are just as human as human.
image so it can jumps
Saying the neocortex is 2.5 dimensional lacks logical consistency.
They should just start wearing one piece jumpsuits already
Pretty sur we'll be able to automitize all humain task in the futur. Some of the task we do don't required our conscience effort once aquiered. But for the human task that requiers conciouse effort, we would have moved slavery from humanity to having slavery for the AGIs.
Good topic! But didn’t really answer anything.
fear? The question is why do we fear them? while completely harmless.. we don’t fear mosquitoes while its the first killer to human! And they are harmful.
1
This might be interesting.
1:39 Wow, this is starting off bad. Joscha is not very well informed on this topic. I will accept his statement that he doesn't know, but this is actually known. It actually can be proven that deep learning cannot be used to create artificial general intelligence.
3:35 The actual problem is not computational capacity, but this would be a typical assumption from someone who mistakenly believes computational/brain equivalence (as Joscha apparently does).
4:35 Okay, that's a correct statement, estimating by computation per neuron doesn't work.
5:11 His definition of intelligence is wrong but again would be consistent when viewed from a computational reference.
6:00 And again, he confirms his computational reference (which is incorrect).
7:25 No, this is incorrect. Deep learning exhibits the same scaling problem as anything based on computation.
8:25 I'm sorry but this is just idiotic. Any deep learning model of any size that is trained to identify pictures is inferior to what a four year old can do. The deep learning method does not provide learning of an equivalent type to human; it simply isn't there. Pretending that it is there or is close or is getting there is self delusion of a high order.
28:00 His description of alternatives to deep learning as well as his description of neural function is pretty bad.
32:30 Here I can see Joscha trying to grasp some of these concepts but he doesn't understand them either in detail or how they fit together. Still, that is encouraging since most people who claim to be researching AGI are considerably further behind.
33:26 Yes, time is a factor. Some of his intuition is correct, but he still has that computational bias. I had similar conceptual struggles in my research about 8 years ago and he's a little further back than that, so maybe 10 years behind.
34:40 No, that isn't how it works. That is a computational model rather than a brain model.
36:44 Transfer by RNA -- we're off the deep end again. This was a fad theory in science and used in science fiction for awhile, but there's nothing to it. The brain does not store records as RNA.
37:00 Agnostic to the neuron. This could either be correct or incorrect depending on how it is meant.
44:00 Definitely on the wrong research path if he is trying to develop AGI.
47:00 His understanding of control in the brain is lacking.
54:00 Michael's rambling dialog is saying very little. Massive overuse of the phrase, "we can talk about this."
1:10:00 He's made a couple of good points but mostly misses the mark.
1:14:00 Goal scaling is not a good analogy for AGI. But that would be consistent with someone who mistakenly thinks that AI can be scaled up to AGI.
1:22:00 His path to AGI is a joke. I noticed that he is leaning on the term "emergence" which is something I never use. This term is nothing more than a euphemism for "I have no idea how this works but I don't want to admit my ignorance." Consciousness is not an emergent property and no amount of wishful thinking will make that true.
1:24:00 The fact that he is talking about a belief in free will rather than the science of free will shows that he is very far behind in his understanding of this topic. The best I can say about his contribution is that it is true that biological consciousness can only be understood in terms of evolutionary theory. These constraints cannot be completely dismissed even when consciousness is non-biological which would mean that he is probably vastly overestimating the potential variety of cognitive systems.
1:28:00 Christoph is correct about attractor dynamics in the brain. However, he then mentions states which is a term borrowed from computational theory and likewise uses the euphemism of emergence. Coincidences of signals is also incorrect. So, it's pretty clear that he does not understand this topic either.
1:33:00 He is confusing predictive modeling with environmental modeling; these are not the same.
1:37:00 What is missing from AI is biological behavioral goals? Intelligence is just the ability to pursue those goals in a changing context? No. This has nothing to do with AGI. That's enough.
This has been mostly a waste of time except to see how far behind the public research field is in terms of AGI theory.
Ai is ultimately dangerous, for human creativity and life
What a great joke they finnished the conversation! Or was it a joke?
🫶
Skip to time 47:08 where the actual talk begins. Before this time only Bach.
This Joscha Bach has terrible voice. I understand every 5th word of him or so. Also, the acoustics is terrible as well. Sponsored by Intel labs, I see. It's waste of time to listen to this. I can see von Malsburg being bored all the time.
Imagine how would Germans build artificial brain with their Z3 computer consisting of 2600 mechanical relays. This 'hot big thing' would lead to nowhere because the idea of german professor Konrad Zuse was wrong from the beginning. Germans have no experts on big ideas.
Who I am missing here is this german professor emeritus Wolfgang Wahlster telling us how real AI is still light years away.
Or this german professor Juergen Schmidhuber explaining how AI will treat us like ants (what he is saying to media, I believe, already for 15 years or so).
Listen, when you imagine that I have developed silicone full brain simulation aka AGI already in year 2016 (now we have 2023) and they still keep telling us those immense lies about AI, you realize how big mistake it was to believe that Europe (be it Germans or other nations) can be motor for driving humanity forward to its successful end. Europe is no motor for anything and has no meaning for the rest of the world. Humanity does need neither Europe nor America to reach its end.
I can imagine that this continent will become battle field for robotic systems for decades to come.
If Europe was needed 1000 or 500 years ago? Maybe, but now it's useless because my MACHINES WITH BRAIN will do EVERYTHING only humans did before.
So what is this all AI crap about? Go back to school and learn how humanity will end and what have you done wrong.
joscha, stay off the stimulants !! (coke, dex) You use too much words for explaining nothing. Michael explains complex things with simple words... "If you can't explain it in simple words, you don't understand it" > Einstein.... What is he saying except a torrent of terms, you can even see in his facial expressions he doesn't understand it himself... Michael levin explains stuff that is 10.000 fold more complex, in simple words !!!!
The opposite is the case. It's so dense that he manages to concisely convey complex thoughts with few words. He cannot absolve you from thinking, though. Also, don't think you can jump in when he talks to experts without doing your homework, he builds upon prerequisites he spoke at length about elsewhere.
@@peterp-a-n4743 its still possible to make things more simple with the intention of simplicity ,i guess having a fast speech and quick thinking leads you freely without any intention
Plus Bernardo Kastrup actively hates Joscha Bach for some reason...gotta be aware of such things
No. He is offering detail by way of precision. It's very illuminating at times, however demanding it might be. It's absolutely not "explaining nothing".
Could someone write down the names of the doctors and the institutions they work in please? It is said at the beginning of the video but it is impossible for me to spell the german doctor’s surname…
I had a problem hearing that too! Here are the names - this should be enough to get to the appropriate details.
Joscha bach, Michael Levin, Christoph von der Malsburg
@@justinvt oh, thank you!🙏
I was trying to figure out the author Joscha mentioned regarding a 1977 publication on Diophantine equations and sound. Any clues would be appreciated. Frank