Artificial-intelligence systems such as large language models (LLMs) can exhibit behaviour that seems strikingly intelligent. This has led many people, including some experts, to wonder whether these systems could have some form of consciousness — the capacity for subjective experience. However, we think that existing AI systems are not conscious, and that, along current trajectories of development, they are not likely to become conscious. Greater clarity about whether AI could become consciousness will be crucial as society grapples with the challenges posed by this increasingly powerful technology.
LLMs only respond to inputs. They don’t have independent ideas. And their responses are just predictive of what the input intends a response to be.
Accurate prediction models can be extremely useful, but there’s a reason why weather prediction models aren’t considered intelligent. It’s because they aren’t designed to mimic human conversation.
They are playing us for absolute fools.
That first sentence describes all life. We only react to input. We don’t have independent ideas. We have the illusion of them, because we can’t see our own neural networks. Asked to explain your actions, you would give your best guesses, but you don’t actually know. You’re a biological, finite-state machine, moving from state-to-state based on stimulii, while supposing you are a thinking individual in control.
Citation needed on all of this, and even if you have citations, LLMs are deterministic, and do not learn or change over time. They can’t even be said to exist continuously since they only exist during the brief time that they’re responding to inputs, and then they disappear until the next input. I would argue that all of these things would need to change in order for them to be able to have consciousness.
They can learn and change over time, that’s just not enabled. The services that offer them want a reliable, reproducible, controllable experience. There’s zero reason they can’t continue to change through usage, other than it’s a conscious decision not to enable that functionality.
That’s why they can only be conscious when they train using new data, and run asynchronously with continual input - the same way we do.
Even if we could update an LLM’s weights continuously, the algorithm is still deterministic, like all computer algorithms. There is no evidence that humans are deterministic (or a “finite state machine”) in any way. So I don’t think such a dynamically-updating LLM could be conscious, either.
It is my personal belief that all life is deterministic. It’s the only plausible explanation for instinctual behavior - like monarch butterflies returning to their breeding grounds they’ve never been to. Or people yawning because others yawn. These aren’t conscious decisions, they’re peeks at the deterministic coding that life operates upon.
I don’t think you understand what “deterministic” means.
A computer algorithm can absolutely be non deterministic, pick your language and run random.rand()
There is a whole class of such algorithms https://en.wikipedia.org/wiki/Nondeterministic_Turing_machine
But I don’t see how it makes a difference, even deterministic algorithms can produce infinite complexity, eg linear neural networks are proven to be able to compute any computable function, or the Mandelbrot set which is produced from a single recurrent statement but encodes a space of infinite complexity
Maybe your point is to say that a brain is performing a non computable function…but since your brain is computing that function…is that a counter example?
How are the numbers generated by random.rand() made?
Also, NTMs are not algorithms, they’re models of computation in theoretical computer science.
My point is that for brains, it’s not possible to recreate the exact same inputs to be able to test whether the brain produces the same output. So it’s literally not possible for brains to be deterministic.