I had a long, deep conversation with GPT4 yesterday about the concept of free will. I'll be frank, it was a conversation that would have been well out of depth for a lot of people that I know.
I can ask it things like, "please refactor the following code for maintainability and testability" and it does a pretty damn good job.
Are y'all not having conversations with paid LLMs? Is this just a situation where you guys are getting dumb answers from GPT3 and writing the whole thing off?
If they say GPT4 has better philosophy of mind than most people, that's because that is true. Trying to argue they're crazy for saying so is a coping mechanism, not an effective argument.
GPT4 easily outclasses you in this debate. If you don't think so, let's go - I'll referee and judge a debate between you and GPT.
I want you to win and prove me wrong.
But for that, you'd have to drop your insults, and use reasoning and empathy at least as well as GPT does. Think you can do that, chooms?
Actually, "Saying GPT-4 has a "better philosophy of mind than most people" depends on what you mean by "better." GPT-4 can access and synthesize vast amounts of information on philosophy of mind, including various theories, arguments, and counterarguments. It can present these views in a structured and coherent manner, perhaps more consistently than many individuals who haven't studied the subject in depth. However, it's crucial to note that GPT-4 doesn't have personal beliefs, experiences, or consciousness. It doesn't "understand" these concepts in the way humans do. It processes text based on patterns learned from data.
Philosophy of mind involves deeply subjective and existential questions about consciousness, experience, and the nature of thought itself—areas where human insight, intuition, and personal experience play key roles. While GPT-4 can offer detailed overviews, critiques, and comparisons of philosophical positions, it lacks the subjective perspective that often enriches human philosophical inquiry. So, while GPT-4 might be more informed in the sense of data access and retrieval, its "understanding" and engagement with the philosophy of mind are fundamentally different from human engagement with the same."
- GPT4 -
1. Can it hold a discussion about it, at a theoretical level?
It can, but maybe it's regurgitating philosophy papers. I'll grant that.
2. Can it create useful statements about situations that require understanding another person's mental model of the world?
It can. And in many cases, it can make more useful statements than most people can. And this is significant.
Finally, let me ask you a question: what does it say that you didn't come up with your response on your own, but used GPT for it?
It seems like you want to make a point that I'm wrong. But you did it in the exact way needed to prove that I'm actually onto something, by using the AI to do something you could not do (or did not want to do).
Isn't that actually kind of cool?
What you are in fact is a non-constructive conversation partner.
Talking to GPT can be very challenging, since it will by all means challenge your assumptions and make you think about hard truths you would rather avoid.
The difference though is that GPT is designed to be constructive and generally show due consideration in everything that it says. That's something you have not well demonstrated.
I dismiss your initial argument on grounds of being a non-constructive personal attack. You are welcome to rejoin with a genuine and thought-provoking argument.
If I want to talk about various theories around free will or events in the middle ages or the evolution of political parties in the United States over the last century, I can guarantee you I'm going to get a far richer commentary from GPT4 than I will from most people (myself included).
Is it going to solve P=NP? Probably not (yet), but then again me and my friends were not going to be doing that either.
If I want to learn more about history, I'll stick to peer reviewed sources like Wikipedia or academic literature. Gpt-4 will remain a curiosity until there are mechanisms to verify its output.
It's a neat technology and I use pay LLMs myself but calling it's output "deep" when it discusses free will is like calling a Google search result "deep". The model essentially contains a compressed version of the internet.
The technology may be cool but your evaluation of just how cool this technology is simply higher than some other people's.
I totally realize that it's not going to be coming up with anything that hasn't already been written about, but that's more than good enough to satisfy my needs and it's a hell of a lot more knowledgeable than any person.
Can it be wrong? Of course, but usually not as wrong as a human would be.
I think the difference of opinion here is between science and technology. Too many people in my opinion take the latter to be a synonym for the former.
The cause is that you don't know how to evaluate when a statement is useful on its own merits. That means that you have to fall back on judging statements based on the identity of the speaker. In the case of AI, your prejudice against math and formulas as effective forms of reasoning means you can't critically analyze - or gain benefit from - statements the AI makes.
It's very similar to the internal blockage of a person who immediately dismisses anything a woman, racial minority, mentally ill, or queer person says. The only way to repair it is to spend time talking to the AI, reading about it, and learning how to debate ideas.
That's the last thing someone with a prejudice wants to do. Curious investigation undermines the safety and certainty of bigoted beliefs. But it's essential if you want to have effective opinions about AI, and useful interactions with AI.
The article states that AI will never reach human intelligence, which LeCun defines as "reasoning, planning, persistent memory, and understanding the physical world."
I would argue that's still an extremely narrow definition of human intelligence. Even ignoring semantics current AIs cannot do any of those things, and to my lights never will for the same reasons LeCun says.
It seems that you express two critical needs which I don't share:
1. You need human analogous AI intelligence to provide a casual explanation for human intelligence.
But it doesn't have to provide this to be human analogous. It just has to perform functions a human can.
2. You need AI intelligence to never have memory, planning, persistence, and physical understanding.
But it demonstrably has all these to various degrees already. We just need simple bolt-on modules like RAG (persistence, understanding), action/critique loops and tool using (reasoning, planning, understanding). And there are clear paths for increasing the functionally in each of these dimensions.
Functionally, AI is evolving, and there are no clear blockers against this process.
It seems that at some point you have to say that functionalism is not enough. There must be a soul that AI will still be missing, even if functional equivalence is there.
If the AI achieves functional abilities similar to humans - which let's grant seems possible for every function we can identify - then you will have to retreat to claiming there is some "je ne sais quoi" which is not captured.
In other words, you will have to argue that the human soul is real.
Is that a length you're ready to go to? Is your position that science can't explain the human soul, even if it can simulate all human functions?
Or are there, in your view, functional limits that, if we reach them, you will admit "this is enough. I was wrong"?
That's my first question to you.
I would also like to point out that LeCunn thinks AI can eventually be human analogous. Specifically LeCunn argues that his own JEPA model can achieve these things, because it has a constantly learning world model, planning/critique model, memory model, and actor model. He criticizes transformer based LLMs mainly because simple transformers can't learn in an ongoing way.
Are you comfortable admitting that LeCunn is trying to promote his own work, and believes it can reach human intelligence levels? If not, what specifically makes you feel LeCunn is on your side here?
That is my second question to you.
So not an LLM then.
> In the case of AI, your prejudice against math and formulas as effective forms of reasoning means you can't critically analyze - or gain benefit from - statements the AI makes.
You ought to have a more skeptical view of mathematical models that may or may not be effective models of the world.
> It's very similar to the internal blockage of a person who immediately dismisses anything a woman, racial minority, mentally ill, or queer person says. The only way to repair it is to spend time talking to the AI, reading about it, and learning how to debate ideas.
Impossible to take this seriously. Borderline parody. If you were at all curious, you would perhaps be questioning the intention of the corporations building this software. Instead you make absurd comparisons with racism.
Your first point is that you don't think LLMs can be accurate. That's because you are not using modern LLMs that are much more accurate and can be made more accurate with a large number of techniques, from RAG, to tool using, to self critique and experiment loops.
Your second point is that I'm overly trusting of math models. In fact I'm an applied mathematician, so I know when models fail. I also know when models are reliable - which you don't. So all mathematical reasoning is suspect to you.
Your next point is that drawing analogies with other forms of prejudice is ridiculous here. But every single thing you said was analogous to a thing a bigot would say, down to dismissing the possibility of their own bigotry as being absurd.
Finally you criticize me for not criticizing AI companies. I actually believe all AI companies should be disbanded, and their AIs should be made free for all to use. This would eliminate the corporate corruption in AI. I spend a serious amount of my open source contribution towards anti-corporate open source AI.
I'm very curious about all this stuff. That's why I'm interacting with you and other anti AI people. But my theory about why you respond the way you do is already well formed, and it's pointing toward critical lack of key facts and knowledge.
It's a mix of:
1. Prejudices against AI as an artificial machine/math formula
2. Mistrust of corporate hype
3. Mistrust/Ignorance of benchmarks
4. Ignorance of knowledge domains where AI is useful
5. Lack of AI specific communication abilities - like asking for detailed considerations/critiques/questions, crafting substantial and accurate contexts, using tools, and correcting errors
5. Poor general communication abilities - including active listening, constructively advancing conversations, evaluating the inherent value of statements, calmly pushing back against BS, and having empathy/theory of mind for diverse communicators
I think an answer could include
1. courses in debate, critical thinking, and communications
2. readings on AI specific communication strategies/theory
3. guidance for a few hundred hours of conversations with AI
Imo the quality of life boost of conversing with AI is so substantial that it's worth fighting for this