When will there be AI superintelligence?
-
@draken why not? Physically impossible?
@evan
Because computer programs are not "intelligent." They've operated under the same Garbage In Garbage Out principle that has governed computers since Babbage and Lovelace built their engines. -
@evan
In the context of "AI = LLM", never. In context of "AI = whatever we will find as technology" we will need decades to have the technology to simulate at least a simple brain (much simpler than a human brain).The reason is that the neural networks that we map in silicon today make up only a fraction of a brain. Countless elements that make up our thinking, our consciousness, and our self-awareness are missing. Even our senses, which are necessary for these, can currently only be represented in a rudimentary way.
Currently, we only emulate knowledge through high speed and parallelization. But we have clear limits in this regard with ressources.
And knowledge is not intelligence. It is also only simulated.
@beandev you should check your math on that argument!
It's not going to take decades to have hardware and software systems with complexity equivalent to the number of neurons (86 billion) or synapses (100 trillion) in a human brain. Frontier models have about 0.5 trillion parameters, roughly equivalent to synapses. That's about 2 OOM from humans.
I think it's very interesting to ask what the difference between true intelligence and simulated intelligence is, though.
-
@evan
Because computer programs are not "intelligent." They've operated under the same Garbage In Garbage Out principle that has governed computers since Babbage and Lovelace built their engines.@draken only God can make intelligence, I guess?
-
@draken only God can make intelligence, I guess?
@evan
1) Which God?
2) False dichotomy. -
@beandev you should check your math on that argument!
It's not going to take decades to have hardware and software systems with complexity equivalent to the number of neurons (86 billion) or synapses (100 trillion) in a human brain. Frontier models have about 0.5 trillion parameters, roughly equivalent to synapses. That's about 2 OOM from humans.
I think it's very interesting to ask what the difference between true intelligence and simulated intelligence is, though.
@evan
Thanks to the hint about the math. I completely forgot it
.It would be nice to go deeper in the science behind neuronal networks, simulations and models and what that means. If you count transistors and compare it to the number of neurons, your math is completely wrong. Additionally you need synaptic connections. All the current simulations are based on reduced and simplified models. Typically only the electrical signal way, binary switches, heavily reduced synaptic connections, and spike signal population (to reduce energy, parallelization, and computation power). We are far away.
However, a nice read about the mathematics behind it, here a nice article:
https://www.golem.de/news/maschinentraeume-1-ki-und-der-mythos-der-emergenz-2606-209312.htmlIt's in German, but you can translate it. Well worth reading.
-
When will there be AI superintelligence?
@evan How about never?
-
When will there be AI superintelligence?
@evan not in our lifetime
-
When will there be AI superintelligence?
No
-
When will there be AI superintelligence?
@evan
It's already there. GPT 6 Astra is smarter than any human. -
When will there be AI superintelligence?
@evan I will go with something a little bit arbitrary, but fun: the early 1970s with the invention of the first pocket-sized electronic calculators. These AI had extraordinary intelligence and could do very difficult calculations at lightning speed. Almost whatever multiplication or division with many decimals you threw at it, these AI would give you the answer in an instant. And the answer was always right.
-
@evan I will go with something a little bit arbitrary, but fun: the early 1970s with the invention of the first pocket-sized electronic calculators. These AI had extraordinary intelligence and could do very difficult calculations at lightning speed. Almost whatever multiplication or division with many decimals you threw at it, these AI would give you the answer in an instant. And the answer was always right.
@evan These AI super intelligent machines couldn't read my mind, couldn't design a beautiful house, touch my shoulder in just the right way to comfort me or facilitate a consensus-meeting with culturally different people. It had a very specific kind of artificial intelligence and was super good at that. I still rely on this kind of AI superintelligence on a regular basis!
-
@evan I don't think that it's possible for a glorified pile of linear algebra to think at all.
@me can any software think?
-
@evan How about never?
@davep why not?
-
@simonzerafa why not?
-
@davep why not?
@evan Because matrix multiplication and activation functions will never be superintelligent, no matter how much deterministic code they use in harnesses to make it good at specific things.
-
@evan Because matrix multiplication and activation functions will never be superintelligent, no matter how much deterministic code they use in harnesses to make it good at specific things.
@davep how are humans intelligent? Magic?
-
@davep how are humans intelligent? Magic?
@evan Not by variations on matrix multiplication. Unless they find some new type of maths I just can't see it not having really stupid non-human-like failure modes.
-
@davep how are humans intelligent? Magic?
@evan@cosocial.ca @davep@infosec.exchange not magic but thanks to processes we don’t completely understand, let alone replicate
-
@evan@cosocial.ca @davep@infosec.exchange not magic but thanks to processes we don’t completely understand, let alone replicate
-
️