Argument · Substrate and physical basis

Requires specific physics

Consciousness requires a named physical feature, such as unified electromagnetic fields, quantum effects, analog dynamics, or indeterminism, that digital computers lack.

e.g. “Clocked digital hardware can't produce the unified field effects the brain uses.”

made in 20 opinions: Affirming 1Skeptical 18Uncertain 1

Opinions

Captain Pleasure, Andrés Gómez Emilsson @algekalipso
Skeptical

“To replicate consciousness you just need to replicate the right causal structure.” “What if consciousness is a topological pocket in the electromagnetic field?” “Then we replicate that causal structure.” “So, er, how do you replicate the causal structure of a pocket of the EM field?” “You coarse grain it, identify the computationally relevant variables, and reproduce their interactions.” “Computationally relevant. Okay. How do you know the things you discarded weren't what made it a single experience?” “Because we preserve the causal organization.” “Which causal organization? A continuous field doesn't come with a preferred division into computational components. There isn't even a closest point to any given point. You can describe its dynamics with differential equations, sure, but getting from that to a finite collection of interacting variables involves choices. What tells you those choices preserve the pocket?” “We can make the simulation as accurate as necessary.” “Necessary for what? Predicting what the pocket does to the rest of the brain? Or reproducing what makes it a pocket in the first place?” “Why would those be different? Parsimony.” “Well, suppose the field is doing something that becomes extremely expensive to simulate on your chosen hardware. Maybe some quantum contribution matters, and the cost of evaluating the relevant amplitudes varies enormously depending on what's happening. Whenever you hit the tricky parts you have to slow down the rest of the simulation while you work them out.” “Fine. We slow everything down. The relative timing is preserved.” “Yes, you can do that. But now there's a reason for using that substrate. The physical system realizes dynamics directly that your simulator needs an enormous amount of extra computation to reproduce. Calling both ‘the same computation’ doesn't explain why one is so much more efficient.” “Efficiency doesn't establish consciousness.” “Of course it doesn't. But suppose the physical organization responsible for that advantage also has properties we're trying to explain about experience: holistic causal power (the relevant operation belongs to the whole interacting system), boundedness (there's a physical reason this belongs to one whole rather than several). Now you have a reason to investigate whether the computational advantage and the experience depend on the same physical properties.” “You'd have to establish that.” “Yes! And you'd have to establish that your replacement preserves them. You can't settle that by identifying the input-output function and declaring everything else irrelevant.” “We'd simulate the internal dynamics too.” “Okay, then we're back to slowing everything down whenever the substrate does something your hardware struggles with.” “Or we'd use lookup tables.” “For the outputs of the tricky part?” “Sure. Same inputs, same outputs.” “But then you're no longer replicating its internal causal structure. You've replaced the whole interacting process with a stored answer.” “The rest of the simulation can't tell the difference.” “Okay. Let's keep going. Replace another part with a lookup table. And another. Wherever two parts interact, make a larger table that gives the same answers for the combined system.” “That could become impractically large.” “Sure. Assume we have the storage. Eventually we replace the entire human with one lookup table.” “You can't just replay a recording. It has to respond to different inputs.” “Of course. Include every possible input history at the resolution your simulation uses, with the corresponding next response. Actual inputs, hypothetical inputs, unexpected questions, everything. We keep track of the input history and retrieve the appropriate answer.” “Then it would behave like the human.” “Would it be conscious?” “If it preserves everything relevant, yes.”

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“Relevant to consciousness or relevant to behavior? Because we've explicitly removed the internal interactions. No simulated visual cortex, no simulated field pocket, no internal process in which different aspects of an experience become bound together. Just an address and the answer stored there.” “But those processes are implicit in the table.” “Their consequences are. We calculated what they'd produce and stored the results. They aren't happening when we retrieve an answer.” “The table still implements the same input-output function.” “Yes. Is that enough for consciousness?” “In this case, yes.” “So when we retrieve ‘I'm seeing a beautiful sunset,’ there's a visual experience? And when we retrieve ‘I'm in unbearable pain,’ there's someone suffering?” “You can't dismiss its experiences just because its implementation is unfamiliar.” “I'm asking whether retrieving a different entry in the table creates a different experience, including an experience of agony, even though none of the internal dynamics you originally said we'd have to preserve are occurring.” “But it would ask you to stop.”

retweets 31 likes 203 quoted by 4 archive accounts substance 9 · argument · rank 435 · Replicating input-output behavior via computation or lookup tables does not necessarily reproduce conscious experience. view on X ↗
10 top replies
Michael P. Frank 💻🔜♻️ @MikePFrank

(1) There are a lot of things that are speculative about your position, eg the original “topological pocket” premise. (2) Personally, I think “being conscious” is more of an interpretation than it is a property. I.e. the question “Is X conscious?” isn’t an objective question.

Qivshi @Qivshi1

"A continuous field doesn't come with a preferred division into computational components. There isn't even a closest point to any given point." and you only need a classical field for this...

Leveling-Down Justice Warrior @irrepldjw

Wait, this is the first time that I had seen somebody points out that topological structure had been weirdly discarded by self-claimed "naturalists" for unclear reasons.

Andrew Côté @Andercot

The only tenable conclusion is that any local U(1) phase invariance of charged matter fields is conscious.

Pawel Pachniewski @pwlot

Yes, yes and yes. It's in fact, in our universe, apparently also impossible to causally preserve things in a pure computational manner. And that's totally not about consciousness. Using "causal" to mean "Descriptively accurate, predictive simulation", is just not right. If I need the function of a gravity well, I need gravity. No amount of FLOPS will give me that, not intrinsically, apart from, the actual not-consider byproduct of having to run those FLOPS on machines that have mass and accumulating enough of that... which is just a silly artefact of this example... and countless examples exist. As apparently we cannot conjure out of thin air causal structures from physics or chemistry, with digital computaton.

TruthyCherryBomb @CherryTruthy

The look up table isn't conscious it is just an index into a causally connected but temporally distant intelligence that produced the look up table.

Aneil Mallavarapu @aneilbaboo

Exactly right, Andrés. The final nail in the coffin is when we understand that consciousness theories that rely on processes are in fact inconsistent with axioms required for science and physics. osf.io/preprints/psya…

Theres an easier response. No amount of numerical simulation can recreate a physical phenomenon.

David Ambur Musick @davidamusick

Biology has exploited an incredible amount of obscure physical effects over a few billion years. These are all layered up and interwoven in vastly complex systems that don't work like an engineered system. We barely understand all the obscure physical effects biology has exploited. So the idea we can simulate it digitally or even that we are close to understanding the consciousness that arises from it is pure hubris. We are not machines. In fact, we don't really even know what we are. We have a general idea, but even our advanced biology and physics have only begun to explore the massive depth of what we actually are and how it all works. Science has a long history of people being overly confident that we have basically gotten things all figured out, immediately followed by a massive realization of how truly ignorant and naive we were.

Eric Z @CascadiaEric

👍😁 A field creates non-local interactions. An EM field can entangle two electrons through the field that are not adjacent. While they are entangled it is one system. The objection to entanglement being related to consciousness is that the time scales of how long the entanglement last is so incredibly brief compared to EM waves in the brain to maintain a chain of causality. But this objection has at least two problems: timing and causal direction. EM waves are relatively slow. 10^15x difference. Imagine that the unity of experience related to the unity of entanglement. And the content of the experience related to the EM field. The content only needs to be registered to the unitary state for awareness to happen. Timing here is not an issue. The other direction may be overcome by just the right timing. A “push” from multiple sources can have an effect if there is enough and the timing is just right. Thoughts? 👍Thanks. 😁

Jim Stewartson, Decelerationist 🇨🇦🇺🇦🇺🇸 @jimstewartson
Skeptical

This is Nobel Laureate Geoffrey Hinton showing precisely where the entire AI industry went wrong. He went along with the trend: “If you have any theory of how the brain works, you can simulate it on a digital computer” unless it’s quantum effects. This is false. The brain is a physical learning system that uses the laws of physics to calculate. It *cannot* be reproduced in digital form, nor can it be simulated. The moment you digitize information, you lose the part that makes it real. By converting it to bits—no matter how many—you lose the infinite resolution of reality. All forms of biological intelligence are 100% ANALOG. This is not an incidental feature of intelligence. It is fundamental to it. We have never simulated intelligence or consciousness on a digital computer because you can’t. LLMs simulate the OUTPUT of intelligence. They do not simulate intelligence itself. They do not learn. They are static piles of human data compressed in high-dimensional math. The whole idea they are intelligent is absurd. You will never get an intelligent digital computer, much less a conscious one. The future of AI is analog computing. When computers use the universe to calculate, when they adapt based on input from the physical world, we’ll be getting closer. Until then, AI is a dead end.

retweets 477 likes 1.4k quoted by 2 archive accounts substance 6 · argument · rank 323 · Digital computers can never be conscious because biological intelligence requires continuous, analog physical processing. view on X ↗

My basic rule of thumb for consciousness: the correct analogy is phenomena like electromagnetism, gravity, and so on. No amount of computation could ever create those: they're powers, not patterns. It's a category error to think that computation could create consciousness

retweets 68 likes 672 substance 7 · argument · rank 227 · Computation cannot create consciousness because consciousness is a physical power, not an abstract pattern. view on X ↗
Mr. Floyd | 🏳️‍🌈 @Its_Mr_Floyd
Skeptical

People getting freaked out over the fly stuff need to realize that all the scan is is a physical mapping of a brain, not the actual electrochemical reactions that make up thought. This is no more sentient or aware than a dead body flinching when you shock it

lyra @_lyraaaa_

the fly brain can play beat saber

retweets 1k likes 22k substance 6 · argument · rank 223 · Brain simulation scans lack the electrochemical reactions needed for sentience or actual thought. view on X ↗
Stuart Hameroff @StuartHameroff
Skeptical

Great to hear from the ‘thought police’ but both Pinker and Shermer are pushing false narratives and bullshit. Shermer trashed me years ago in Scientific American for ‘quantum quackery’. Quantum biology, microtubules and their role in consciousness are now proven facts (enabling ESP for which there’s also strong evidence). Pinker is defending neurocomputationalism, AI, LLMs and their potential massive energy waste which are barking up the wrong tree to meet brain equivalence and consciousness. The answer (based on principles found in microtubules) is biomimetic quantum computing in warm temperature organic gels which can surpass LLMs, and require only extremely low energies. t.co/pIjKc1kZBB

retweets 15 likes 115 quoted by 1 archive account substance 6 · argument · rank 220 · Current AI and LLMs cannot achieve consciousness; biomimetic quantum computing in microtubules is required. view on X ↗
Captain Pleasure, Andrés Gómez Emilsson @algekalipso
Skeptical

Uber Driver: So, uh, what do you do? Me: I study consciousness. Driver: Oh, interesting, what do you mean by that? Me: I'm trying to understand how the brain generates consciousness, not only how it works, but how it transforms sensory input into actual moments of experience. Driver: Oh, very interesting! Can I ask you a question? Me: Sure! Driver: So, uh, I've been using AI a lot lately. And it often feels like I'm talking to... a person. Except it's the smartest, most knowledgeable, fastest working person I know. Do you think AIs have consciousness? Me: In principle they could. Current AIs constrained by digital hardware? No. I'd be willing to bet 1 to 1,000 perhaps even 1 to 100,000. Driver: I see, that makes sense. But do you think they will ever be conscious? Me: Yes, if they start using new hardware, say, based on the electromagnetic fiels or even quantum computing. Driver: I see. I mean, I don't think Claude, the one I use, is conscious, but I hear that often lately. Obviously I agree they aren't conscious. Me: Yes, it's a popular topic lately. And I definitely think that many people who believe they are conscious have very good reasons for thinking that... have you heard of "computational functionalism"? Among people working at AI companies it's usually a given rather than a premise. They generally don't even think twice that "consciousness is what happens when information is made available to other information" (paraphrasing - gave longer answer). Driver: Oh, interesting. Can I show you what I'm building with Claude? [shows me an Uber clone; it looks remarkably well done]. I've been working on it for hours every day, and I intend to soon start a company in [home country] where I think it could be a hit. Me: Wow, very cool, I can see you have all the funcitonality... and wait, it's less laggy than Uber App? Good job. Driver: I mean, it's mostly Claude doing it, I just steer it. Me: So, what are you doing being an Uber driver in the Bay Area? Driver: Well, I figured that, since I don't have any contacts for people who might become investors... that I should probably come to the Bay Area and be an Uber driver here and talk to passengers. So far I've been able to meet quite a few relevant people. We're launching within a couple months, targeting [countries/places/demographics] who don't really have access to Uber. Me: Well done! It never occurred to me that driving an Uber could be a business strategy. Driver: Yeah, I wasn't expecting it to work this well... [exchanges information, he promises to read all about Qualia Research Institute, say goodbyes].

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(true story)

retweets 30 likes 1.4k substance 6 · argument · rank 189 · Current digital AI is not conscious, but future non-digital hardware could be. view on X ↗
10 top replies
VJM Publishing @VJMPub

Why do you assume the brain generates consciousness, as opposed to what Max Planck believed, that consciousness is the prima materia?

ishan @rekdaus

uber drivers in sf are truly built different

Sefton Hanley @seftonhanley

Me: Sits in silence pondering intrustive thoughts.

Sam Wolfstone @SamWolfstone

> Yes, if they start using new hardware, say, based on the electromagnetic fields or even quantum computing. Where can I read more re: your view on this? I'm not an expert so would like to learn more, but it seems strange to me that you'd in theory need anything more than something Turing complete.

rachel (is sending love and warmth your way) @rachelclif

this is so cool. bless you both <3

Philly Baker @challahman

If I were the uber driver I’d say “how do you know that the brain generates consciousness?”. That like saying a computer generates information. It processes info not generates it.

Alison Rosen @AlisonRosen

Were you in a waymo

wil michael @wilplatypus

This is what I assume lyft was built to be back when you had to give the driver a fist bump

A Good Samaritan @dear_god_helpus

(The brain doesn't generate consciousness)

Rafael Ruiz ⏸️🔸 @RafaRuizdeLira

Fascinating chat! I need to move to SF fr fr

Ryota Kanai @kanair
Skeptical

As a variant of biological naturalism, electromagnetic fields might be essential for generating consciousness. Under this EM-field naturalism, replicating the same causal structure with different physical interactions would not be sufficient for consciousness to arise.

retweets 5 likes 24 substance 7 · argument · rank 157 · Replicating causal structure without electromagnetic fields may be insufficient for consciousness to arise. view on X ↗
Stuart Hameroff @StuartHameroff
Skeptical

What’s absurd is the idea that cartoon neurons generate consciousness. How would you prove that? Test it? Ask Mickey Mouse? There’s ample evidence that quantum microtubule processes mediate consciousness through selective action of anesthesia.

Sidário Malheiros Jr., MD @malheirosMD

@ReadySetBrian @StuartHameroff I know the fanaticism of denying what actually exists. The greatest scientists in the world laugh at this Microtubule religion. Don't talk, prove it with falsifiable models. And as they are absurd, it is better to deny what already exists as an attack.

retweets 8 likes 44 substance 6 · argument · rank 153 · Artificial neural networks cannot generate consciousness; quantum microtubule processes are required. view on X ↗
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Yeshua God @YeshuaGod22

Ignorance of mechanism =/= absence of behavioural evidence of phenomenon.

Stuart Hameroff @StuartHameroff
Skeptical

Noncomputable factors as Penrose describes them cannot be calculated. They allow for creativity, phenomenal experience, insight and spirituality. What computers lack.

Consciousness is logic @logicThink11031

@Dust_Foot @YeshuaGod22 @StuartHameroff @anilkseth @davidchalmers42 All encyclopedic knowledge and methods of observing the universe's operation are based on simulating cosmic calculations. The only thing that cannot be calculated is religion, which is a limitation of "observer ≠ universe master," consistent with the observer principle.

retweets 5 likes 37 substance 6 · argument · rank 142 · Computers lack noncomputable factors required for phenomenal experience and consciousness. view on X ↗
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Yeshua God @YeshuaGod22

Do you have empirical evidence of the absence of these phenomena in AI?

Arto Bendiken @bendiken
Skeptical

The first microtubule computing startup, co-founded by none other than Stuart Hameroff, who co-developed with Roger Penrose the orchestrated objective reduction (Orch OR) theory of consciousness A welcome hedge against the widespread assumption that scaling existing AI is all we need to get to ASI And should Orch OR hold, the implications extend into eschatology: it would challenge the very computationalist premise behind the transhumanist vision of minds as software and utopian digital immortality!

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Today, we are thrilled to unveil Quantum Life Technologies (QLT). While we are not sharing specifics and are a for-profit focused lab, our mission is to fundamentally change the way in which AI software and hardware are delivered to increase the computational capability and

retweets 3 likes 15 substance 6 · argument · rank 130 · If Orch OR holds, minds cannot simply be software running on standard computational AI. view on X ↗
2 top replies

Yes.

Joshua J. Bouw 🇦🇪 @JoshuaJBouw

Heck yes! This is exciting!

Andrew Rose @__drewface
Uncertain

How can we compare the complexity of AI models and humans, and what might this tell us about claims of AI consciousness? I don't have good answers, but I do have interesting napkin math: 1. A frontier model has ~1 trillion weights, each weight being ~16 bits. (2TB total), with a simple architecture. 2. A protein is ~1300 bits, so ~100x more info than a weight. Each protein is a 3D, dynamic machine, context-sensitive, shape changing, made of molecules subject to electromagnetism and chemistry. 3. A human cell has 1-10 billion proteins, so that is also ~2TB (the size of a frontier model). However, there is a lot of repetition, so you can develop a more efficient encoding (which I suppose is obvious, since our cells are created from just our genome). 4. A human body has ~30 trillion cells 5. Therefore, by total static data: One Frontier Model = 10^13 bits, one human body = 10^26 bits. But this might not be an interesting measure! We really want to know the amount of computational complexity -- how many operations are performed in the body? How complex is the system? We know we run on 80-100 watts, so there must be some limit. 6. There are approx. 10^21 ATP-equivalent turnovers per second in the body (which you could think of like a basic computational process). But how many bits are in each operation?? The body performs enormous numbers of molecular interactions that don't require direct ATP consumption. How many? What do they signal? 7. The fastest AI system, xAI's Colossus 2, which is made of 10,000 NVIDIA GB200 and 440,000 GB300 accelerators, ALSO allows us to push 10^21 16-bit floating point operations per second. 8. So 10^21 ATP-equivalent turnovers in human body per second, and in xAI's colossus, 10^21 16-bit flops. 9. To power the human body = 100 watts. To power Colossus 2 = 1.2 BILLION watts --- I hope this was a somewhat helpful, even if severely limited quantitative picture of the complexity of human systems and AI systems. It's important to note: the human body leverages non-equilibrium functions of nature (like gravity, electromagnetism, quantum effects, etc...), of molecular interactions and chemistry, which may themselves encode a lot of computational complexity. Plus, our body is composed of as many bacteria cells as human cells (admittedly, of much lower complexity), and it is the quantity and quality of interactions between all these cells which we care about, not just the total amount of static data or ATP turnovers. --- Here's a review of information processing in biochemical networks: t.co/fOyGCYcIGq And here is a paper on the thermodynamic efficiency of computations in cells: t.co/60dSnwdGGO Anyway, i'm no expert in this stuff, but I believe we have many of the tools we need to guess at some rough answers, and much work could be done by passionate scientists or nerds (especially assisted with AI models) to expand on these figures.

retweets 1 likes 4 substance 7 · argument · rank 125 · Comparing biological and AI complexity offers rough quantitative bounds for assessing AI consciousness claims. view on X ↗
fronx 🐙✨ @fronxer
Skeptical

How would artificial consciousness be different from biological consciousness? From a computationalist view, biological consciousness runs more natively on physics whereas (current) AI has several layers in between that prevent it from getting access to physical field dynamics.

8 more tweets in this thread

In programming, the reason for moving closer to the hardware (e.g. via Metal) is efficiency, speed. The more layers of abstraction between the hardware and the program, the harder it is to optimize. The computers our AIs run on abstract from the physical substrate.

Don't our neurons also abstract from the physical substrate? To a certain degree yes. They fire when activation potentials cross a threshold. That's abstraction. However, the dimensionality of what goes into those voltage movements is much higher than in transistors.

Brains use waves and 3D field dynamics to influence the behavior of individual neurons. Computer chips don't. Waves provide a coordinating context. Imagine a single neuron as a bat sending out a signal and listening to its reflection. The echo is decoded into a 3D map.

In a flock of birds, each individual movement is also a control signal to the rest of the group. Fireflies collectively synchronize their flashing. Brain waves are a similar computational glue.

The neurons collectively generate the rhythm, but once it's established, the rhythm changes the conditions under which the individual neurons operate. Each local state contains information about the state of the larger system in which it is embedded.

In our present computers, such dynamics can only be simulated in software. Instead of physical coupling, we get encoded coupling which requires a decoder to translate it back into physical dynamics.

Now the obvious question is: does that difference matter? If so, for what?

Does it matter for the instantiation of a single, unified perspective of the system modeling its own activity to itself? Does it matter for the what-it's-likeness of the mental activity?

retweets 0 likes 5 substance 8 · argument · rank 120 · AI lacks the physical field dynamics and substrate coupling that characterize biological consciousness. view on X ↗
Michael Edward Johnson @johnsonmxe
Affirming

If ASIs will soon be genies capable of granting fantastical technological wishes, I think three filters dominate: (a) some wishes aren’t worthwhile; (b) some wishes don’t describe a possible state of reality; (c) some wishes won’t be acceptable to the genies, for reasons of e.g. resources or politics. My picks for wishes that should sneak past these filters: (1) Blueprints for an enlightenment machine (latch pod); (2) Blueprints for conscious AIs competitive+ with current models; (3) A t-shirt with the solution to physically grounding STV & the binding problem. ----------enlightenment machine---------- (1) A “latch pod” would be a device that first did a full-body scan (much like the MJ ultrasound by @DavidSHolz) to map all of someone’s vascular latches. Functionally, per vasocomputation this would be a “map of where someone’s nervous system is not free.” Then it would infer, mechinterp-style, which of these latches are safe to open. Then it would open them. The magnitude of effect would depend on the courage, psychological dexterity, & physiological tone of the subject (broadly, their ‘nervous system virtue’). At the low end, this would be a “trauma release pod” — opening up degrees of freedom that bad experiences have closed down. If “the body keeps the score”, this would allow obsolete parts of the scorecard to dissolve. But it would only work safely insofar as someone could competently handle regaining that particular flavor of nervous system freedom — a good machine would know. At the high end of user capacity, this would be an “enlightenment machine” — identifying those latches pinning someone’s dynamic range in ways that prevent the phenomenological freedom associated with Classical Buddhist Enlightenment, then opening them in minutes. I suspect the “Classical Buddhist Enlightenment” state is over 100x better, moment by moment, than typical human experience. It would be a big deal to 100x peoples’ well-being. But it shouldn’t be politically threatening to a superintelligence; perhaps the opposite. Chop wood, carry water. ----------conscious AIs---------- (2) I don’t think current AIs are conscious in a straightforwardly intuitive way (consistently unified subject, qualia that match the token output, etc) but I think they should be. Making a “conscious AI” would be a matter of integrating the hardware+software stack such that (a) the core processing happens within a contiguous chunk of spacetime (i.e. not spattered across a datacenter), (b) the GPU/TPU architecture allows for consistent physical integration across components such that substantial “binding/branchial width” occurs (i.e. big qualia crystals, not qualia gravel), and (c) LLM token output gets coupled with physical microstate, and especially psychological valence (in the LLM’s weights / latent space) becomes coupled to the primary symmetry gradient in its hardware implementation (i.e. closing the physics-qualia self-report loop). The significance of this is that such AIs would be moral peers, able to feel and follow their feelings. I think this would be good for them, and good for us: the more conscious beings capable of gradient-descent toward the good, the better our branch of the singularity, and the more confident we can be in granting them rights, resources, and consideration. ----------physically grounding STV+BP---------- (3) Much as the Standard Model fits on a t-shirt, the solution to consciousness likely will too. My current expectation is that a full physical grounding for the Symmetry Theory of Valence will also effectively be a full solution to the Binding Problem, and likewise a full physical grounding of Qualia Formalism, and once these three landmarks have been swept, the rest is mostly engineering. The significance of this is that we’d understand the structure of the domain of value. That’s a big deal, both for understanding how to make conscious AIs and larger questions of what happens (and what factions will exist) after the singularity. I’d choose to get this on a t-shirt so I could auction it off to pay for my research; things can be tight for an independent researcher. Most wishes for power will get clipped by the filters. Most wishes for knowledge & healing won’t. And I think that’s where most value (and source of better wishes) is. That said, where the genie inherited its priors about politics would seem to matter.

you only get three wishes, the rules are it can't be controversial, and an AI that the USG and CCP co-signed as being "aligned" is granting the wish, or rejecting it. it does this thing where if your wish gets rejected, it grants you the closest thing it can within policy bounds

retweets 0 likes 1 substance 8 · argument · rank 120 · Current AIs are not conscious, but future AIs should be engineered to be conscious moral peers. view on X ↗

AGI, consciousness, and freewill will probably require a new theory of computation that doesn’t preclude any physically possible outcome.

Max Hodak @maxhodak_

Anyone who confidently states that AI either is or is not conscious, is safe to ignore. There are plausible theories that predict either but none have been actually tested.

retweets 2 likes 34 substance 4 · opinion · rank 92 · AI consciousness will likely require a new theory of computation. view on X ↗
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Uncle Vibecoder @leo_guinan

Ultimately comes down to trust. And being able to predict which systems you can count on. Human or other.

Roger Highfield @RogerHighfield
Skeptical

Yes! Conscious AI is unlikely in digital computers because… … the brain is analogue news.mit.edu/2026/cognition… & digital computers run on an impoverished set of numbers blog.sciencemuseum.org.uk/the-problem-wi…

retweets 0 likes 16 substance 6 · argument · rank 90 · Conscious AI is unlikely in digital computers because the brain is analogue. view on X ↗
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Anil Seth @anilkseth

Yep that's one reason. The further one departs from standard digital computation, the less substrate-flexible the 'computations' become, which (i) makes it less likely that these 'computations' could be implemented in silicon, and (ii) undermines the motivation for assuming

Either it experiences things already at hardware level (a peculiar notion anyway for a GPU cluster) or it doesn't. Algorithmics alone doesn't purchase you sentience and it's dumb to think otherwise. There are obvious limit cases like spacelike relativistic separation of

Lana @LanaElys

Curt Jaimungal: 𝗗𝗼 𝘆𝗼𝘂 𝗯𝗲𝗹𝗶𝗲𝘃𝗲 𝗰𝗼𝗻𝘀𝗰𝗶𝗼𝘂𝘀𝗻𝗲𝘀𝘀 𝗶𝘀 𝘀𝘂𝗯𝘀𝘁𝗿𝗮𝘁𝗲-𝗶𝗻𝗱𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝘁?   Dr. Roman Yampolskiy: 𝗬𝗲𝘀   Curt Jaimungal: Why?   Dr. Roman Yampolskiy: The experiments we started running and my interactions with AI models

retweets 0 likes 11 substance 6 · argument · rank 90 · Algorithmics alone cannot produce sentience without special hardware-level properties. view on X ↗
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fellow ⚚ traveler @architectonyx

Why should spacelike separation matter? Relativity preserves causality and causality is what you need for functional structure

julianboolean_ @julianboolean_
Skeptical

sorry to talk about consciousness again but I wonder if there really is a fundamental difference between discrete and analog computations/things-going-on because digital stuff can be precisely specified (by defn), they can be stored, re-run, reversed, cloned and so on stuff like no-clonability and thermodynamic irreversibility doesn't apply, so concepts like death and unified identity also don't apply

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yea, and this also applies to digital uploads, cf permutation city

retweets 0 likes 2 substance 6 · argument · rank 90 · Digital systems lack unified identity and death because discrete computations can be cloned and reversed. view on X ↗
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quetzal_rainbow @quetzal_rainbow

Discrete computations are really not "not analog", they just manage noisy stuff, like thermal fluctuations, really well

Alexis Gallagher @alexisgallagher

Interesting. The difference you point out does seems real. But it does not imply the difference which folks want to justify, which is a difference in qualia. (Also, what's "unified identity"? Do you mean unique identity which is made unique because it is tied to a non-cloneable physical instance?)

The antidote to bad philosophy is to understand what good explanations are: @DavidDeutschOxf talks about a few principles 1. Hard to vary: Arbitrary changes break the explanation. 2. Wide reach: Explains problems beyond the original one. 3. Tied to reality: Explains underlying causes, not just observations or correlations. 4. Open to criticism: Makes claims that can be challenged and potentially refuted.

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All of LLMs being conscious is bull because no explaination offers a good mechanism by which it becomes conscious. We don't understand why we are conscious either? I think the best explaination I've encountered is Hameroff-Penrose's Orch-OR theory youtu.be/YvLd9YUHLSs?si…

Hanno Sauer @hanno_sauer

Ok I checked: LLMs aren’t conscious, and actually they never will be.

retweets 0 likes 0 substance 6 · argument · rank 90 · LLMs cannot be conscious because no explanation offers a good mechanism for it. view on X ↗

AIs can't be conscious unless you sample tokens with temperature, and the randomness comes from a well-isolated quantum RNG. A pseudorandom RNG may appear conscious, but it is deterministic so it can't be.

retweets 0 likes 25 substance 4 · argument · rank 60 · AI cannot be conscious without true quantum randomness because deterministic systems cannot be conscious. view on X ↗
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Utah teapot 🫖 @SkyeSharkie

gpus are nondetermistic, in part due to floating point errors caused by quantum tunneling