@TrueAIHound Ok, thanks for what you already share. I hope true intelligence gets cracked soon.
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RalphX1
777 posts
@dev_x19807 You are getting close to the mother lode, my friend. Unfortunately, I can't add more to this discussion without revealing things about my research that I'm not yet ready to reveal. Sorry.
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Neuroscience bits from my research.
Principles of intelligence
I believe that solving intelligence is a neuroscience problem not a computer automation problem. My research consists of discovering the governing principles of the brain, primarily its perceptual organization and function.
The main focus of my research is the visual system, mostly because of the large quantity of high quality papers, articles and books published on the subject.
I have come to believe that all the sensory cortices have analogous architectures and principles of operation. This means that if vision is solved, the other sensory modalities are also solved, apart from their sensors.
The more I study the visual system of the human brain (retina, LGN and visual cortex), the more I become convinced that only a handful of simple and well defined principles govern its architecture and operation. I believe the seven I listed below are among the most important ones:
1. Precise spike (discrete event) timing.
2. Yin-yang complementary: every sensor has an exact opposite. This is essential to contradiction detection.
3. Frequent eye microsaccades. Vision is driven by movements.
4. Edge sensors detect movements along 10 angles or orientations.
5. Learning in the visual cortex is based strictly on spike timing (concurrent or sequential), edge orientations and competition among percepts for control of the visual field.
6. Percepts are unique identifying traces (differences) of patterns that survive competitive learning. They "die" automatically unless recalled repeatedly.
7. Meta learning uses timing to organize associated percepts into contextual clusters for attentional purposes.
Note: I have very little use for math in my research other than simple arithmetic.
Work in progress. 😇
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@TrueAIHound And with competition mechanism I mean some kind of inhibition.
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@TrueAIHound I'm trying to understand the learning mechanism here. As I understand currently, connections that lead to contradictions are pruned by a competition mechanism in the brain(?). And contradictions are caused when opposite sensors fire at the same time, where only one can win?
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Building investor demo for client. (Very early) rate 1-10
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@TrueAIHound 1. To what extent would you say intelligence is embedded in the sensory systems themselves?
2. If much of intelligence lies in the sensors, what role should we then attribute to the brain?
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Neuroscience bits from my research
Nature knows best. Over the years, I've come to understand that the two most important principles of intelligence are as follows:
1. Discrete event timing.
The first principle tells us that intelligence is impossible without the ability to detect discrete events in the world. This is the reason that all biological brains use spiking neurons, a spike being a temporal marker that indicates that an event just occurred. The precise timing of the spikes is essential because it allows the intelligent system to determine whether events are concurrent or sequential.
2. Yin-yang complementarity.
The second principle dictates that everything comes in opposite pairs and that nothing can be its own opposite. It gives an intelligent system the ability to eliminate contradictions during learning and on-the-fly perception. This principle is the reason that every sensor or effector in the brain has an exact opposite.
I'm a fanatical believer in the principle of Occam's razor in science. I believe that the principles that govern intelligence are simple and that their power is in their simplicity. AGI is coming and the solution will come from neuroscience. Nature knows best. Work in progress.🤔
AGIHound@TrueAIHound
"If we build models that match human performance per FLOP, we could produce 100 humans' worth of cognition per acre of solar." It's always amusing listening to the fake-AI mafia talking about FLOPs, solar power and human performance while being ignorant of the first principle of intelligence (discrete event timing). I'll keep saying it. The fake-AI community had more than 70 years to solve intelligence and they failed miserably. After several painful AI winters, their humanoid robots are dumb as rocks and their LLMs are scandalously expensive and unprofitable bullshit machines that cheat on a massive scale. Dear Lord. 🤦♂️
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@TrueAIHound Might be a silly question, but if distance is an illusion, is everything merged into one? Or does space not even exist and there is some abstract mechanism, fundamentally not subject to space, which determines where everything is?
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Strange physics for blown minds
Physics is philosophy. In my attempt over the years to understand the physics of the universe, I came across three awesome truths that blew my mind.
1. Nature is discrete and motion consists of tiny quantum jumps at the speed of light. Old Democritus was right to reject continuity.
2. There's only one speed in the universe, the speed of light. Nothing can move faster or slower. This is a direct corollary of #1.
3. Distance is an illusion, i.e. an abstract creation of the conscious mind.
These truths led me to understand many mysteries of physics that made no sense otherwise. Gravity and quantum entanglement are just two of them. It's a deep rabbit hole full of wonders.
So here I am, years later, and my mind is still blown by the implications of it all. 🤯
PS. My ideas are not mine. Most of them pop up into my mind seemingly out of nowhere. Many come from existing sources written down by others over the millenia. So I cannot boast. I'm just thankful. Work in progress. 🙏
AGIHound@TrueAIHound
If gravity propagated at a specific speed, such as the speed of light, no orbit would be stable and the universe would be a chaotic mess. This is why gravity has to be instantaneous. Newton understood this necessity, but he could not explain it and left it to God. Einstein refused to accept action at a distance. He claimed that gravity propagated at the speed of light. In order to make GR behave like Newtonian gravity, he used a pseudoscientific mechanism called "retarded potentials" or RP. RP postulates that information about the position and velocity of a massive object is transmitted into space to other bodies. This way, a receiving body can use this information to calculate the probable position of the transmitted body and behave accordingly. No physicist can explain how particles can do this. The reason that retarded potentials are pseudoscience is that no method is provided to falsify their existence. Conclusion: Any gravity theory that postulates that gravity propagates is pseudoscience.
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The baby AGI benchmark
My take is that the ARC-AGI benchmark is a massive waste of time, minds and effort.
A much more revealing and simpler test for AGI is a cheap humanoid robot that can learn to grasp objects, crawl and walk fluently on its own in the real world.
Important: The use of simulations, sim-to-real, training datasets, or motion capture is forbidden.
There are only two scores: pass or fail. If your humanoid can pass this test, you just solved AGI. Bravo. I call it the baby AI benchmark or BAB.
Machine Learning Street Talk@MLStreetTalk
ARC-AGI-3 is built different, it has dumbfounded almost all regular attempts so far because it's so much harder than anything that came before. It has no rules, it's agentic and has no explicit goals, they need to be discovered. @tufalabs won the first milestone of @arcprize > There is no language built into the benchmark, but these guys "put the language back in", because in their view - it's the best way to climb up the notional "abstraction mountain" and effectively use many of the abstractions which have evolved over millions of years of language evolution. > They built a novel harness "The Duck" around a 27B open weights model (Qwen 3.6) to solve extremely challenging and novel reasoning problems that require abstraction. > This is the launch video of their winning agentic harness, "The Duck". We have also released an exclusive interview with them on MLST, just dropped. > The million dollar question is: what will @fchollet think about how they've done it, and is this a step towards AGI?
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@StartupArchive_ Even a phone is better than a Kindle for seeing text. Amazon makes it impossible to find books. No full text library list. They have studies showing you will buy if they limit what you see. Thus they act as a corporate outlet that buries millions of books and dumbs people down.
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Jeff Bezos: “You don’t understand my audience”
When Charlie Rose asks him if the iPad is a “Kindle killer” in this 2012 interview, Jeff gives an incredible response:
“It’s a very different product, and I can give you an example. If I came to you and said: ‘Charlie, I love your show, but we’ve got to sex it up. We need fast cuts and vicious arguments between your guests.’ You would rightly say to me: ‘Jeff, I love you man, but you don’t understand my audience. We have a cerebral conversation here. It’s what we do, and it’s how we’re differentiated.’”
He continues:
“When people come to me and say: ‘You’ve got to have full-motion video and color on the Kindle.” I say: ‘Why? You think Hemingway is going to pop more in color?’… You don’t understand my audience.”
Jeff explains that his vision for the Kindle is a purpose-build device for reading where no tradeoffs have been made—every single design decision is optimized for reading.
And knowing exactly who his audience is gave him conviction in the Kindle team’s design decisions—even when everyone at the time was saying that the iPad would crush them.
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This is a new paradigm for interacting with Claude that is significantly more "inline" with all the other human activity org-wide. Once you do all of the under the hood engineering work to make this "just work" (e.g. across tools, integrations, compute environments, memory, security, etc.), Claude basically joins the team in a seamless way - you can talk to it as you would talk to a person and it can help with a very large variety of workloads.
Imo this is the 3rd major redesign of LLM UIUX. The first paradigm was that the LLM is a website you go to, the second was that it is an app you download to your computer. This third one is that it is a self-contained, persistent, asynchronous entity with org-wide tools and context, working alongside teams of humans. It really takes a while to wrap your head around it, but it works and it is awesome.
Claude@claudeai
Introducing Claude Tag, a new way for teams to work with Claude. In Slack, Claude joins as a team member with access to the channels and tools you choose. Tag Claude in and delegate tasks to it while you focus on other work.
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@jbthinking @TrueAIHound I tried to understand Patom, but it's quite complex (for me) with all the linguistic jargon.
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That’s the point of Patom theory. Using hierarchical bidirectional patterns deals with the limitations of the computational models.
Recognition is the main capability with bidirectional links enabling recall.
As a cognitive scientist I like to think my AI expertise makes me a good one to listen to, and I agree with your sentiment about taking what mathematically based AI experts say. Their model is theoretical and too far away from human and animal brains.🧠
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Neuroscience: Don't listen to AI experts.
I've come to understand that the principles that govern intelligence are simple and that, when AGI is solved, anyone with a high school education (or even less) will be able to understand it.
The claim by the fake-AI community that fancy math is needed to solve AGI is bogus. If you want to understand intelligence, don't listen to AI experts. They had more than 70 years to solve intelligence and they failed miserably. After several AI winters, their humanoid robots are dumb as rocks and their LLMs are massive bullshit machines. 😀
AGIHound@TrueAIHound
Neuroscience I don't believe the brain computes anything in the normal sense of the word. Neurons are too slow for that. The brain assumes that the world "computes" itself perfectly. It uses is senses to capture the results of the computations (discrete events or spikes) and channels them to their proper destinations. It's more like a sorting mechanism than a computing mechanism. "In-der-Welt-Sein" (being in the world) ~ Martin Heidegger.
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@TrueAIHound Interesting that you see all sensory modalities as analogous. Could you say more about that? I’d have assumed the primitives differ by modality, frequency for sound, pressure for touch, luminance/intensity for vision, and so on. Am I thinking about this the wrong way?
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@dev_x19807 Yes. Sensory spikes are tied to primitive sensory events. And all the sensory modalities are analogous in my model.
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Neuroscience
I don't believe the brain computes anything in the normal sense of the word. Neurons are too slow for that. The brain assumes that the world "computes" itself perfectly. It uses is senses to capture the results of the computations (discrete events or spikes) and channels them to their proper destinations. It's more like a sorting mechanism than a computing mechanism.
"In-der-Welt-Sein" (being in the world) ~ Martin Heidegger.
AGIHound@TrueAIHound
Thanks. I glanced at it, but I don't see the utility of it. Sorry. My thesis is that the visual system of the brain doesn't compute anything in the normal sense of the word. The brain assumes that the world computes itself and that the computations are perfect. It uses many tiny edge movement sensors (retinal ganglion cells) to capture the results on the fly. The visual cortex is like a librarian that relies on the precise spike timing of the incoming signals to channel them into specific slots. This is how it can instantly build a representation of any object in the world. I call this ability "extreme perceptual generalization" or EPG. I hypothesize that EPG is not innate. It is learned early in infancy.
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@dev_x19807 AGI won't be solved or controlled by the warmongers but by the peacemakers.
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Prediction:
When AGI arrives on earth (it's coming), wars and warmongering will cease. All military organizations will be dismantled. 😇
I will dance in the streets. 🎉🍾😀
China pulse 🇨🇳@Eng_china5
The use of drones in almost every aspect of the Chinese military continues to expand: The PLA garrison in Hong Kong has equipped its CSK‑181 armored vehicles with DJI FC100 drones.
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