Background: I did AI and Philosophy of Mind in undergrad, an MSc focused on ALife, then a PhD at Yale under a Macarthur Fellow who developed the theoretical framework for the 'evolution of Evolvability' where I worked on computational evolutionary biology. I can say we're not going to blindly brute force our way forward, but instead we'll need to reverse engineer nature's core algorithms to generate hard AI. Every ti…
Background: Some guy on the Internet with an unrelated Bachelors degree he didn't study that hard for and has picked up a little Python and Javascript somewhere along the way. I know of no biological forms that have evolved wheels. But wheels have turned out to be a hell of a lot faster than fins or legs. I see no reason "intelligence" has to follow the pathways or limitations of biology or neurology at all. Although…
Where will artificial general intelligence come from?
131–140 of 252 posts
Re: Where will artificial general intelligence come from?
#132Not on their radar, or their slides at least: Natural Language Processing based rule-based brute-force artificial intelligence (that could be augmented through sensors/motors that allow interaction with the external world). A Vulcan-like (Star Trek) AI, what do you think? Might be easier to simulate the entire brain, on the other hand it might be doable and bridge the gap to general AI.
Rule-based NLP has been tried for several decades and has (very) limited success in the real world. Current systems based on deep learning beat it for most complex tasks. DeepL, which was on HN front page a few days, is the latest example: https://news.ycombinator.com/item?id=15122764
Re: Where will artificial general intelligence come from?
#133If you take a look at the evolution of the most advanced non artificial general intelligence, eg. human intelligence, it is strongly connected to the evolution of communication. It is a question of efficiency whether you learn through your own experience and failures or through the experience and failures of others. This teaching/learning process was boosted through the use of pictures, spoken language, hand written…
Re: Where will artificial general intelligence come from?
#134Earlier quoted context omitted.
Wheels are useless if you don't have roads. EDIT: Please explain your downvotes here? Don't you people see that this, coupled with there being no useful intermediate stage before developing a full wheel, prevents evolution from "inventing" it.
Well that's not true at all. See: Wheelbarrow; amongst many wheeled devices I can think of immediately.
Re: Where will artificial general intelligence come from?
#135Artificial intelligence will come from understanding natural intelligence.
The brain is a very high-dimensional non-linear dynamical system. The number of neurons in the brain is on the order of the number of trees in the amazon rain forest and the number of synapses the number of leaves on those trees. https://youtu.be/8FHBh_OmdsM?t=1165
We do not have the mathematical tools to understand such systems in general. What if reductionism doesn't work and the best model of natural intelligence is as complicated as the system itself ? Can we say we understand natural intelligence?
It could be the case in a distance future that we evolve an artifical intelligence purely as a computation that is capable of understanding us but not us them.
Re: Where will artificial general intelligence come from?
#136Background: I did AI and Philosophy of Mind in undergrad, an MSc focused on ALife, then a PhD at Yale under a Macarthur Fellow who developed the theoretical framework for the 'evolution of Evolvability' where I worked on computational evolutionary biology. I can say we're not going to blindly brute force our way forward, but instead we'll need to reverse engineer nature's core algorithms to generate hard AI. Every ti…
Background: Some guy on the Internet with an unrelated Bachelors degree he didn't study that hard for and has picked up a little Python and Javascript somewhere along the way. I know of no biological forms that have evolved wheels. But wheels have turned out to be a hell of a lot faster than fins or legs. I see no reason "intelligence" has to follow the pathways or limitations of biology or neurology at all. Although…
There is nothing intelligent about artificial intelligence. You might as well call it artificial stupidity, but that doesn't make you sound sophisticated.
Memorizing the results of a pre-defined concept faster due to a lower barrier of entry does not make you smarter or more intelligent. You can process all of the traffic signals in the world in a blink of an eye only to get stomped by a dancing traffic director.
You can't have AI without a human, and you can't have AI with a human.
Re: Where will artificial general intelligence come from?
#137Do we consider simpler brains to exhibit general intelligence (e.g. A crow's). Is it a more tractable problem to replicate crow level AI first before tackling humans?
You can look for the topic of Artifical Life, Emergent Computation, Artifical Evolution. See the Santa Fe Institute conferences on ALife. There were some promising initial results but the field never managed to take off.
Re: Where will artificial general intelligence come from?
#138Earlier quoted context omitted.
> Artificial general intelligence won't be invented, it will emerge, just general intelligence did in the wild. I think so as well, but for a specific reason: That people are not as "AGI" as we think, and that our general intelligence is the result of immense neuron-computing resources committed to satisfying a few simple drives. In other words, narrow AI with a lot of resources. Not to mention many specialized subco…
Why do you think consciousness is a selected trait?
These types of discussions do get pretty wonky. When I say consciousness is selected for, I mean more whatever practical apparatus (if any) it is emergent from, not the perception of consciousness itself.
Re: Where will artificial general intelligence come from?
#139Re: Where will artificial general intelligence come from?
#140The mere fact that biological neural networks are rate encoded might turn out to be the one crucial thing that's practically impossible to simulate in a VN computer.
My vote: "we have no idea; probably not in my lifetime."