1,888 karma · joined October 24, 2020
But the higher power in the AA context is a deep recognition that we are subordinate to the laws of nature. Which is indeed a kind of higher power; we are subordinate to the laws of nature, and can not exert our own will to overcome them. It is that recognition and submission to reality that can engender a humility and peace essential to recovery from addiction.
It only represents incoherent nonsense to someone who is very literally minded and can not integrate relatively simple concepts into their own rigid mental framework.
And this isn't a matter of "you can do two things at once"; we should provide for our own people _before_ we worry about cosmic inflation.
"Prayer" has no universally accepted procedure, and can just be your own calm reflective contemplation. "Spiritual awakening" can be that moment when you as an atheist accept your non-central role in the universe, when you come to peace with the fact that there is a higher power than yourself, and you aren't the central character in its unfolding.
There are only "made up entities" when you demand that everything be understood in literally minded cartoonish definitions, rather than a more nuanced understanding of the world around us, and our place in it.
The other problem with LLMs today, is that they don't persist any learning they do from their everyday inference and interaction with users; at least not in real-time. So it makes them harder to instruct in a useful way.
But it seems inevitable that both their pre-training, and ability to seamlessly continue to learn afterward, should improve over the coming years.
In either case, your assertion that one _understands_, and the other doesn't, seems like motivated reasoning, rather than identifying something fundamental about the situation.
When people catalogue the deficiencies in AI systems, they often (at least implicitly) forgive all of our own such limitations. When someone points to something that an AI system clearly doesn't understand, they say that proves it isn't AGI. But if you point at any random human, who fails at the very same task, you wouldn't say they lack "HGI", even if they're too personally limited to ever be taught the skill.
All of which, is to say, I don't think pointing at a limitation of an AI system, really proves it lacks AGI. It's a more slippery definition, than that.
Is there any reason to believe that humans are imbued with some mysterious magic, that silicone creatures lack? And even if you believe that we possess some such magic, is there any proof that it can't eventually be instantiated within a creature we create?
It may be that our ultimate achievement as a species is to give birth to a more intelligent and capable future species. And if we do, it will be the result of, and the next step in, natural evolution. We are part of nature, not something separate; ergo, everything we create, is natural. Everything we might achieve, was already provisioned in the fabric of reality.
Nothing that we do, or happens to us -- including the inevitable demise of our species, diminishes or jeopardizes anything fundamental.
And it appears that Teams are required, even though for a chess tournament like mine, each player is just an individual, and there are no teams involved. So it didn't really feel like a good fit.
None of this is meant as a criticism, just a data point.
If, on the other hand, life is relatively rare, or we're the sole example, our future can't be statistically estimated that way.
"free-speech does not mean freedom from consequences",
"free speech does not apply to hate-speech",
"we must suppress and limit the spread of misinformation",
It really seems that people do not believe in free speech anymore, and only appeal to it as a principle to defend themselves, never to defend those they disagree with.
This one minute Youtube short, gives an example of a guy dancing, without regard to being watched. And how a large internet crowd reacted to him being shamed by others at the dance.
https://www.youtube.com/shorts/n2rtYzzSgL0
I think we tend to focus on the negative effects of constant surveillance, without giving a nod to the positive once in a while.
That's reinforcement learning -- an algorithm, which requires accurate knowledge acquisition, to be effective.
I guess a superset. But it doesn't really matter either way. Ultimately, there's no useful distinction between pretraining and in-context learning. They're just an artifact of the current technology.
However, I assumed what we're talking about when we discuss AGI is what we'd expect a human to be able to accomplish in the world at our scale. The examples of learning without knowledge you've given, to my mind at least, are a lower level of intelligence that doesn't really approach human level AGI.