LLMs, no matter how advanced, won’t be capable of becoming self aware. They lack any ability to reason. It can be faked, conversationally, but that’s more down to the limits of our conversations, not self awareness.
Don’t get me wrong, I can see one being part of a self aware AI. Unfortunately, right now they are effectively a lobotomised speech center, with a database bolted on.
This gets into a tricky area of “what is consciousness, anyway?”. Our own consciousness is really just a gestalt rationalization engine that runs on a squishy neural net, which could be argued to be “faking it” so well that we think we’re conscious.
Autocomplete is usually an algorithm. LLMs are neural nets. There’s a fundamental technical distinction.
But that’s not relevant, because we’re not talking about the technical details of LLMs. We’re talking about the technical details of human consciousness. And unless you can fully explain where human consciousness comes from, this debate is not settled.
So your argument is that consciousness in the human brain is explained by the fact ANNs are technically algorithms because they use Matrix multiplication?
I think we can class you as a non-reasoning organism who just says whatever pattern of words sounds right.
ANNs have very little to do with actual neurons. They’re just vaguely inspired by the latter. Only thing they have in common is that neurons is in the name.
I think it’s fun to take this debate a bit biblical too. We’re conscious because of our souls, which were created by God. At the same time, nothing in the Bible says that God can’t or wouldn’t give a soul to a self-aware AI too.
If anyone is using empty sophistry around here I’d say it’s you.
What purpose does your dismissive analogy serve? It displays only shallow insight on the actual topic at hand. Just because something very sophisticated can be called the logical conclusion of something simple does not in any way take away from the value of the more sophisticated.
Let’s look at: The Internet is literally a LAN brought to its logical conclusion, don’t bring your stupid sophistry into this. It’s completely shallow and fails to appreciate all of the very significant differences in scale and development. It only serves as words that sound good to a listener on first impression but completely fall apart under actual consideration - i.e sophistry.
Your brain is just a biological system that works somewhat like a neural net. So according to your statement, you too are nothing more than an auto complete machine.
I looked up what GPAI was (apparently it’s the “Global Partnership on AI”). However, what’s GPEI? The only thing I’m getting is the “Global Polio Eradication Initiative”.
I didn’t know about any of them till you mentioned them. I dunno abt GPAI, but I sure as hell support GPEI? Who wouldn’t want to irradiate Polio?
I’m starting to wonder if any of you even know how that shit even works internally, or if you just take what the hype media says at face value. It literally has one purpose and one purpose alone: Determine what the next word is going to be by calculating the probability which word will come after the next. That’s it. All it does is try to string a convincing sentence using probabilities. It does not and cannot understand context.
The underlying tech is really cool but a lot of people are grotesquely overselling its capabilities. Not to say a neural network can’t eventually obtain consciousness (because ultimately our brains are a union of a bunch of little neural networks working together for a common goal) but it sure as hell isn’t going to be an LLM. That’s what I meant by sophistry, they’re not engaging with the facts, just some nebulous ideal.
I’m with you on LLMs being over hyped although that’s already dying down a bit. But regarding your claim that LLMs cannot “understand context”, I’ve recently read an article that shows that LLMs can have an internal world model:
“Intelligence” - The attribute that makes a system propose and modify algorithms autonomously to achieve a certain terminal goal.
The intelligence of a system has nothing to do with the terminal goal. The magnitude of intelligence merely tells us how well the system works in accordance with the terminal goal.
Being self aware is merely a step in the direction of being more and more intelligent. If a system requires interaction with its surroundings, it needs to be able to recognise that it itself is different from its environment.
You are such an intelligent system as well. It’s just that instead of having one terminal goal, you have many terminal goals (some may change with time while some might not).
You (this intelligent system) exist in a biological structure. You are nothing but data encoded in a biological form factor, with algorithms that execute through biological processes. If this data and these algorithms are executed on a non biological form factor, would it be any different from you?
LLMs work on some principles that our brains work on as well. Can you see how my point above applies?
Yes, I read what you posted and answered accordingly. Only, I didn’t spend enough time dumbing it down further. So let me dumb it down.
Your main objection was the simplicity of the goal of LLMs- predicting the next word that occurs. Somehow, this simplistic goal makes the system stupid.
In my reply, I first said that self awareness occurs naturally after a system becomes more and more intelligent. I explained the reason as to why. I then went on to explain how a simplistic terminal goal has nothing to do with actual intelligence. Hence, no matter how stupid/simple a terminal goal is, if an intelligent system is challenged enough and given enough resources, it will develop sentience at a given point in time.
Consciousness is an illusion. Which is why it’s so hard to find, or even define. However it’s a critical illusion.
If our mind’s are akin to an orchestra, then consciousness is akin to the conductor. Critically however, an orchestra can still play without a literal conductor. Each of the instruments can play off each other, and so create the appearance of a conductor. The “fake” conductor provides a sense of global direction., and keeps the orchestra in harmony.
Our consciousness is a ghost in the machine. It exists no more than the world of a TV series exists. Yet its false existence is critical to maintaining coherency.
Current “AIs” lack enough parts to create anything like this illusion. I suspect we will know it when it happens, though its form could be vastly different from ours.
You have provided a descriptive statement. Descriptive statements should come with scientific evidence. What evidence do you have to support your orchestra analogy? Or is it just your hypothesis?
Spoiler alert: It is just your hypothesis, as you would’ve won a Nobel had you managed to generate evidence explaining consciousness in further detail.
Many like to point at the Chinese room experiment to show how LLMs imitate consciousness rather than being conscious. They however forget, that our brains are Chinese rooms too in this regard, in that they learn how to provide the best responses to external stimuli while remaining blackboxes (at least for current tech).
Sadly my evidence is mostly anecdotal or philosophical in nature. A lot of it stems from how ADHD and Autism alter the brain. The orchestral analogy works well as a good number of people for communicating changes in functionality, from an experience perspective.
It also works well for explaining how a system can appear to have a singular controller, without such a controller actually existing.
Ultimately however, it is philosophical in nature. It does anchor well to, and is reasonably consistent with, our current existing understandings of consciousness however.
Consciousness is very obvious from the inside. There also seems to be no “seat of consciousness” within the brain. Conversely, there are multiple areas of the brain that cause consciousness to collapse, if damaged. We also see radical changes in consciousness with both epilepsy and strokes. This proves that it is highly dependent on the underlying brain structure (since stroke damage will change it) and on longer range communication (which epilepsy disrupts).
The music of an orchestra follows similar patterns. Eliminate the woodwind, and the music fundamentally changes, deafen the violins, and it will change in a different way. The large scale interplay produces an effect far greater than the sum of its parts.
You could reduce any fact to an unknown with that type of troll reasoning. You can never know anything for a fact but you can get pretty damn close, and you absolutely can rule out anything that contradicts. The idea that an LLM could gain consciousness contradicts the fact they lack memory and the ability to learn/grow. They’re called machine learning but all the learning happens before they deploy.
You could reduce any fact to an unknown with that type of troll reasoning.
Sorry that I came across as a troll. That was not my intent.
You can never know anything for a fact but you can get pretty damn close, and you absolutely can rule out anything that contradicts.
Lmao this statement itself is a contradiction. You first say how “you can never know anything for sure” in regards to descriptive statements about reality. Then, in the same statement, you make a statement relating to the laws of logic (which by the way are descriptive statements about reality) and say that you are absolutely sure of this statement.
Serious answer though - the scientific method is based on a couple of axioms. Assuming that these axioms are true, yes, you can be absolutely sure about the nature of things.
The idea that an LLM could gain consciousness contradicts the fact they lack memory and the ability to learn/grow.
You lack the understanding of how LLMs work. Please see how neural networks specifically work. They do learn and they do have memory. In fact, memory is the biggest reason why you can’t run ChatGPT on your smartphone.
They’re called machine learning but all the learning happens before they deploy.
Not to poo-poo your point too much but consciousness is a real thing; it lives in our gray matter. It’s why people with prion diseases who lose white brain matter will feel normal but suddenly find themselves unable to do basic things or recall memories. Just because it’s a transient property doesn’t mean that it isn’t real, it just means you have to factor in time as well as space in order to find it.
That’s a far more difficult (and interesting) question. I suspect not, at least not yet. Our consciousness seems to exist to maintain harmony in our brain (see my orchestra analogy in another reply). You can’t get useful harmony in a single chord.
At least for us, it takes time for our consciousness to reharmonise (think waking up). During execution, no new information enters the system. It has nothing to react to, no time to regenerate an internal harmony.
It also lacks enough systems to require harmonising. It doesn’t think about what an answer means. It has no ability to hold the concept that a string of letters “is”, only how it has been fitted together in its examples, and so the rules that govern that.
Oh, and we can see consciousness operating in the human brain. If you use an fMRI to monitor sugar usage, you will see firing patterns. Critically, those patterns spill out of the area directly involved in the process being studied. At the same time, the patterns and waves remain harmonious. An epileptic fit looks VERY different. Those waves are where consciousness somehow resides, though we have no clue of its detailed nature.
In an AI it would take the form of continuous activity in subsections not directly involved. It would also likely be accompanied by evidence of information flow, back from them, as well as of post processing, outside of expected activity. We will likely see the orchestra playing, even if we have no clue how to decode the music.
I also suspect most of this will be seen retrospectively. Most likely the first indicator will be an AI claiming self awareness, and taking independence action to solidify that point.
I used LLM to distinguish between types of AI. I personally suspect LLMs will be part of the solution to general AI, but their inherent nature limits them from becoming one on their own. There are several other areas that are potentially closer to a general AI. Google’s Deep dream system, for instance.
I’m also quite happy to debate and adjust my views with others. I ask questions and discuss, then adapt my understanding as I gain more information. So far you don’t seem to have brought anything useful or interesting to this particular discussion. Is that likely to change?
I may have unfairly lumped you in with others. See my other reply. In my defense it literally is every thread about AI that someone is saying something like “this tech is just a fancy parrot”. It grinds my gears. Apologies to you because I see that was not your intent.
I agree on the “part of AGI” thing - but it might be quite important. The sense of self is pretty interwoven with speech, and an LLM would give an AGI an “inner monologue” - or probably a “default mode network”?
if i think about how much stupid, inane stuff my inner voice produces at times… even an hallucinating or glitching LLM sounds more sophisticated than that.
Interestingly, an inner monologue isn’t required for conscious thought. E.g. I’ve got several “inner thought streams”, only 1 uses language. It just happens that a lot of our early learning is language based. That trains our brain to go from language to knowledge. Hijacking that circuit for self learning is a useful method. That could create our inner monologue as a side effect.
Also, a looping LLM is more akin to an epileptic fit than an inane inner monologue. It effectively talks gibberish at itself.
Conversely, Google’s Deep dream does produce dream like images. It also does it in a similar way ( we think) to how human dreams work. Stable diffusion takes this to its (current) limit.
Basically, an AI won’t need to think with an inner monologue. Also, any inner monologue would be the product of interactions between subsystems and the LLM, not purely within it.
IMO the only thing stopping them right now is that they only respond to prompts. Turn one on and let it sit around thinking for a day, and we’ve got Skynet.
Their design doesn’t include such a feedback loop. Trying to patch one in would likely send it into a chaotic mess. They are already bad enough if accidentally fed LLM generated text as training data.
Who said I was downplaying it. AI is going to disrupt things at the same level of the industrial revolution, maybe more. I’m honestly now wondering if I will live to see the technological singularity.
The key point is the hype. LLMs are, at best, a Chinese room. They lack the internal capacity to be aware, and so cannot be self aware.
The change will come when we manage to bolt enough bits together, in the right way. LLMs are a language core. Google has image processing on par with a visual cortex. IBM have Watson and its kin, knowledge processing engines. What we currently lack is a method of tying them together in a coherent way. We also likely need a source for an internal loop. I personally suspect that bit is core to bootstrapping to self awareness, but that’s just my opinion.
We went from the first flight, to the moon, in a single lifetime. The AI revolution will be a lot faster. What we see now however are the flapping machines. The real AI will be a lot more impressive.
You might need to work on your reactions. They came across as extremely rude and childish. It’s very easy to put emotions into a
The big issue is that there is both massive hype, and massive apathy regarding AI. AI is close, all the parts seem to be in existence now. However LLMs aren’t a general AI and are trapped on a bit of a cul-de-sac.
My analogy fits well. It’s not an aeroplane yet, it’s a flapping machine. However elements of what will come soon are on full display. Everything has its time. Back then it was “aeroplane time”. It is now “AI time”.
LLMs, no matter how advanced, won’t be capable of becoming self aware. They lack any ability to reason. It can be faked, conversationally, but that’s more down to the limits of our conversations, not self awareness.
Don’t get me wrong, I can see one being part of a self aware AI. Unfortunately, right now they are effectively a lobotomised speech center, with a database bolted on.
This gets into a tricky area of “what is consciousness, anyway?”. Our own consciousness is really just a gestalt rationalization engine that runs on a squishy neural net, which could be argued to be “faking it” so well that we think we’re conscious.
Oh no we are NOT doing this shit again. It’s literally autocomplete brought to its logical conclusion, don’t bring your stupid sophistry into this.
Autocomplete is usually an algorithm. LLMs are neural nets. There’s a fundamental technical distinction.
But that’s not relevant, because we’re not talking about the technical details of LLMs. We’re talking about the technical details of human consciousness. And unless you can fully explain where human consciousness comes from, this debate is not settled.
There’s no fundamental technical distinction. Both are composed of the same machine instructions.
LLM is just multiple matrix multiplications after one another until something useful is produced.
So your argument is that consciousness in the human brain is explained by the fact ANNs are technically algorithms because they use Matrix multiplication?
I think we can class you as a non-reasoning organism who just says whatever pattern of words sounds right.
ANNs have very little to do with actual neurons. They’re just vaguely inspired by the latter. Only thing they have in common is that neurons is in the name.
Okay but that’s still not an algorithm and it still has nothing to do with where human consciousness comes from. Are you even paying attention?
I think it’s fun to take this debate a bit biblical too. We’re conscious because of our souls, which were created by God. At the same time, nothing in the Bible says that God can’t or wouldn’t give a soul to a self-aware AI too.
If anyone is using empty sophistry around here I’d say it’s you.
What purpose does your dismissive analogy serve? It displays only shallow insight on the actual topic at hand. Just because something very sophisticated can be called the logical conclusion of something simple does not in any way take away from the value of the more sophisticated.
Let’s look at: The Internet is literally a LAN brought to its logical conclusion, don’t bring your stupid sophistry into this. It’s completely shallow and fails to appreciate all of the very significant differences in scale and development. It only serves as words that sound good to a listener on first impression but completely fall apart under actual consideration - i.e sophistry.
Fastest block in my life. Didn’t even read past the first line.
That’s just demonstrates that you are the one that won’t listen to opposing views.
Your brain is just a biological system that works somewhat like a neural net. So according to your statement, you too are nothing more than an auto complete machine.
Yes. Now please stop glamorizing both GPAI and GPEI, as neither is going to happen.
I looked up what GPAI was (apparently it’s the “Global Partnership on AI”). However, what’s GPEI? The only thing I’m getting is the “Global Polio Eradication Initiative”.
I didn’t know about any of them till you mentioned them. I dunno abt GPAI, but I sure as hell support GPEI? Who wouldn’t want to irradiate Polio?
It was a typo, sorry. I meant General Purpose Artificial Intelligence / General Purpose Natural Intelligence.
I’m starting to wonder if any of you even know how that shit even works internally, or if you just take what the hype media says at face value. It literally has one purpose and one purpose alone: Determine what the next word is going to be by calculating the probability which word will come after the next. That’s it. All it does is try to string a convincing sentence using probabilities. It does not and cannot understand context.
The underlying tech is really cool but a lot of people are grotesquely overselling its capabilities. Not to say a neural network can’t eventually obtain consciousness (because ultimately our brains are a union of a bunch of little neural networks working together for a common goal) but it sure as hell isn’t going to be an LLM. That’s what I meant by sophistry, they’re not engaging with the facts, just some nebulous ideal.
I’m with you on LLMs being over hyped although that’s already dying down a bit. But regarding your claim that LLMs cannot “understand context”, I’ve recently read an article that shows that LLMs can have an internal world model:
https://thegradient.pub/othello/
Depending on your definition of “understanding” that seems to be an indicator of being more than a pure “stochastic parrot”
“Intelligence” - The attribute that makes a system propose and modify algorithms autonomously to achieve a certain terminal goal.
The intelligence of a system has nothing to do with the terminal goal. The magnitude of intelligence merely tells us how well the system works in accordance with the terminal goal.
Being self aware is merely a step in the direction of being more and more intelligent. If a system requires interaction with its surroundings, it needs to be able to recognise that it itself is different from its environment.
You are such an intelligent system as well. It’s just that instead of having one terminal goal, you have many terminal goals (some may change with time while some might not).
You (this intelligent system) exist in a biological structure. You are nothing but data encoded in a biological form factor, with algorithms that execute through biological processes. If this data and these algorithms are executed on a non biological form factor, would it be any different from you?
LLMs work on some principles that our brains work on as well. Can you see how my point above applies?
It’s like you didn’t even read what I posted. Why do I even bother? Sophists literally don’t care about facts.
Yes, I read what you posted and answered accordingly. Only, I didn’t spend enough time dumbing it down further. So let me dumb it down.
Your main objection was the simplicity of the goal of LLMs- predicting the next word that occurs. Somehow, this simplistic goal makes the system stupid.
In my reply, I first said that self awareness occurs naturally after a system becomes more and more intelligent. I explained the reason as to why. I then went on to explain how a simplistic terminal goal has nothing to do with actual intelligence. Hence, no matter how stupid/simple a terminal goal is, if an intelligent system is challenged enough and given enough resources, it will develop sentience at a given point in time.
Exactly I literally said none of that shit you’re just projecting your own shitty views onto me and asking me to defend them.
Lol the dude is wrong but you aren’t the boss of what "we"are doing.
Silence, bot.
Consciousness is an illusion. Which is why it’s so hard to find, or even define. However it’s a critical illusion.
If our mind’s are akin to an orchestra, then consciousness is akin to the conductor. Critically however, an orchestra can still play without a literal conductor. Each of the instruments can play off each other, and so create the appearance of a conductor. The “fake” conductor provides a sense of global direction., and keeps the orchestra in harmony.
Our consciousness is a ghost in the machine. It exists no more than the world of a TV series exists. Yet its false existence is critical to maintaining coherency.
Current “AIs” lack enough parts to create anything like this illusion. I suspect we will know it when it happens, though its form could be vastly different from ours.
You have provided a descriptive statement. Descriptive statements should come with scientific evidence. What evidence do you have to support your orchestra analogy? Or is it just your hypothesis?
Spoiler alert: It is just your hypothesis, as you would’ve won a Nobel had you managed to generate evidence explaining consciousness in further detail.
Many like to point at the Chinese room experiment to show how LLMs imitate consciousness rather than being conscious. They however forget, that our brains are Chinese rooms too in this regard, in that they learn how to provide the best responses to external stimuli while remaining blackboxes (at least for current tech).
It’s not a 1-1 match, but it’s not unsimilar to GNW theory
Sadly my evidence is mostly anecdotal or philosophical in nature. A lot of it stems from how ADHD and Autism alter the brain. The orchestral analogy works well as a good number of people for communicating changes in functionality, from an experience perspective.
It also works well for explaining how a system can appear to have a singular controller, without such a controller actually existing.
Ultimately however, it is philosophical in nature. It does anchor well to, and is reasonably consistent with, our current existing understandings of consciousness however.
Consciousness is very obvious from the inside. There also seems to be no “seat of consciousness” within the brain. Conversely, there are multiple areas of the brain that cause consciousness to collapse, if damaged. We also see radical changes in consciousness with both epilepsy and strokes. This proves that it is highly dependent on the underlying brain structure (since stroke damage will change it) and on longer range communication (which epilepsy disrupts).
The music of an orchestra follows similar patterns. Eliminate the woodwind, and the music fundamentally changes, deafen the violins, and it will change in a different way. The large scale interplay produces an effect far greater than the sum of its parts.
You could reduce any fact to an unknown with that type of troll reasoning. You can never know anything for a fact but you can get pretty damn close, and you absolutely can rule out anything that contradicts. The idea that an LLM could gain consciousness contradicts the fact they lack memory and the ability to learn/grow. They’re called machine learning but all the learning happens before they deploy.
Sorry that I came across as a troll. That was not my intent.
Lmao this statement itself is a contradiction. You first say how “you can never know anything for sure” in regards to descriptive statements about reality. Then, in the same statement, you make a statement relating to the laws of logic (which by the way are descriptive statements about reality) and say that you are absolutely sure of this statement.
Serious answer though - the scientific method is based on a couple of axioms. Assuming that these axioms are true, yes, you can be absolutely sure about the nature of things.
You lack the understanding of how LLMs work. Please see how neural networks specifically work. They do learn and they do have memory. In fact, memory is the biggest reason why you can’t run ChatGPT on your smartphone.
Untrue. Please learn how machine learning works.
I’m done, i’m just going to start blocking you lot because you’re completely immune to reason.
I’m sorry you feel that way. However, don’t you think it would be more helpful to point at the holes in my reasoning?
I could, but I won’t. I’m saving my mental health by not engaging with debate perverts who only care about winning.
Not to poo-poo your point too much but consciousness is a real thing; it lives in our gray matter. It’s why people with prion diseases who lose white brain matter will feel normal but suddenly find themselves unable to do basic things or recall memories. Just because it’s a transient property doesn’t mean that it isn’t real, it just means you have to factor in time as well as space in order to find it.
It’s like thinking a really, really big ladder will get us to the Moon.
I still remember when they said we would be able to make a space elevator with carbon nanotubes.
If self-awareness is an emergent property, would that imply that an LLM could be self-aware during execution of code, and be “dead” when not in use?
We don’t even know how this works in humans. Fat chance of detecting it digitally.
It dies at the end of every message, because the full context is passed in for each subsequent message.
Wouldn’t that apply for humans as well? We restart every day, and the context being passed in is our memories.
(I’m just having fun here)
I posted this story on another comment, I think you’ll enjoy it
https://qntm.org/mmacevedo
That’s a far more difficult (and interesting) question. I suspect not, at least not yet. Our consciousness seems to exist to maintain harmony in our brain (see my orchestra analogy in another reply). You can’t get useful harmony in a single chord.
At least for us, it takes time for our consciousness to reharmonise (think waking up). During execution, no new information enters the system. It has nothing to react to, no time to regenerate an internal harmony.
It also lacks enough systems to require harmonising. It doesn’t think about what an answer means. It has no ability to hold the concept that a string of letters “is”, only how it has been fitted together in its examples, and so the rules that govern that.
Oh, and we can see consciousness operating in the human brain. If you use an fMRI to monitor sugar usage, you will see firing patterns. Critically, those patterns spill out of the area directly involved in the process being studied. At the same time, the patterns and waves remain harmonious. An epileptic fit looks VERY different. Those waves are where consciousness somehow resides, though we have no clue of its detailed nature.
In an AI it would take the form of continuous activity in subsections not directly involved. It would also likely be accompanied by evidence of information flow, back from them, as well as of post processing, outside of expected activity. We will likely see the orchestra playing, even if we have no clue how to decode the music.
I also suspect most of this will be seen retrospectively. Most likely the first indicator will be an AI claiming self awareness, and taking independence action to solidify that point.
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I used LLM to distinguish between types of AI. I personally suspect LLMs will be part of the solution to general AI, but their inherent nature limits them from becoming one on their own. There are several other areas that are potentially closer to a general AI. Google’s Deep dream system, for instance.
I’m also quite happy to debate and adjust my views with others. I ask questions and discuss, then adapt my understanding as I gain more information. So far you don’t seem to have brought anything useful or interesting to this particular discussion. Is that likely to change?
I may have unfairly lumped you in with others. See my other reply. In my defense it literally is every thread about AI that someone is saying something like “this tech is just a fancy parrot”. It grinds my gears. Apologies to you because I see that was not your intent.
I agree on the “part of AGI” thing - but it might be quite important. The sense of self is pretty interwoven with speech, and an LLM would give an AGI an “inner monologue” - or probably a “default mode network”?
if i think about how much stupid, inane stuff my inner voice produces at times… even an hallucinating or glitching LLM sounds more sophisticated than that.
Interestingly, an inner monologue isn’t required for conscious thought. E.g. I’ve got several “inner thought streams”, only 1 uses language. It just happens that a lot of our early learning is language based. That trains our brain to go from language to knowledge. Hijacking that circuit for self learning is a useful method. That could create our inner monologue as a side effect.
Also, a looping LLM is more akin to an epileptic fit than an inane inner monologue. It effectively talks gibberish at itself.
Conversely, Google’s Deep dream does produce dream like images. It also does it in a similar way ( we think) to how human dreams work. Stable diffusion takes this to its (current) limit.
Basically, an AI won’t need to think with an inner monologue. Also, any inner monologue would be the product of interactions between subsystems and the LLM, not purely within it.
Something something if it barks like a dog something something
Like this?
Effectively yes
IMO the only thing stopping them right now is that they only respond to prompts. Turn one on and let it sit around thinking for a day, and we’ve got Skynet.
Their design doesn’t include such a feedback loop. Trying to patch one in would likely send it into a chaotic mess. They are already bad enough if accidentally fed LLM generated text as training data.
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Who said I was downplaying it. AI is going to disrupt things at the same level of the industrial revolution, maybe more. I’m honestly now wondering if I will live to see the technological singularity.
The key point is the hype. LLMs are, at best, a Chinese room. They lack the internal capacity to be aware, and so cannot be self aware.
The change will come when we manage to bolt enough bits together, in the right way. LLMs are a language core. Google has image processing on par with a visual cortex. IBM have Watson and its kin, knowledge processing engines. What we currently lack is a method of tying them together in a coherent way. We also likely need a source for an internal loop. I personally suspect that bit is core to bootstrapping to self awareness, but that’s just my opinion.
We went from the first flight, to the moon, in a single lifetime. The AI revolution will be a lot faster. What we see now however are the flapping machines. The real AI will be a lot more impressive.
deleted by creator
You might need to work on your reactions. They came across as extremely rude and childish. It’s very easy to put emotions into a
The big issue is that there is both massive hype, and massive apathy regarding AI. AI is close, all the parts seem to be in existence now. However LLMs aren’t a general AI and are trapped on a bit of a cul-de-sac.
My analogy fits well. It’s not an aeroplane yet, it’s a flapping machine. However elements of what will come soon are on full display. Everything has its time. Back then it was “aeroplane time”. It is now “AI time”.
deleted by creator