Ali Behrouz: recommendation

Transcript context

…Claude by Anthropic is an AI collaborator that understands your workflow and helps you tackle research, writing, coding, and organization with deep context. Get started with Claude and explore Claude Pro at https://claude.ai/tcr So if I want to like summarize, what I wanted to say is that I think an ID model should have like 2 phases, 1 generally it should be a continual learner. It should like interact with the word and also it should have like 2 phases. 1 is about like very active process and another one is about self improvement and how it can consolidate its memory, how it can like understand the knowledge, how it can connect different things that seems to be irrelevant. And so first and everything similar that usually our brain also does when we go to sleep. Yeah, that's just my personal opinion and my big compass is wrong. But I think we shouldn't focus too much on what human can do. And instead of that we need to focus more on what human wants from AI. And I think if we think about, we don't want to create something that is very similar to us, I mean that that's also like really interesting direction. But I, I, I personally, I'm not really interested in that. I think we have like great design for human, but on the other hand, for, for the AI side, I think we need AI models that's are capable of understanding what we want. For example, I think current paradigm of LLMS, you can see that they are great after some time when we have like more features more. For example, a ChatGPT has has the memory now and for example, plot has some like features Gemini and everything you know now they are more capable of understanding what you want. Even you say, for example, write this e-mail for me, they can simply write that for you. And so I think that's a very promising direction in general, because we don't want to replicate human. There are a lot of like different ways that we can define intelligence somehow and it doesn't have to be the same thing as as human intelligence somehow. So I I think here again we can get inspired from the human, but we need to understand why we want to get inspired. Do we want to get inspired because we want to replicate what human can do? Or do we want to get inspired from the nature to understand some underlying rules in the nature. For example, just one extreme example is we cannot travel through time. So if I come up with one idea that is saying that my AI model is trying to break the causality in the world, then potentially that might be a wrong idea or wrong direction because it is breaking some nature rules about our world. Or again, let me give you another example. For example, when we are talking about the title that we use, LLM needs sleep. It doesn't mean that LLM needs to literally go to sleep and rest. It means that, you know, from the human brain it seems that there is a very general rule that it has two phases of learning and then another phase of processing it, consolidate the memory and find underlying patterns between the received data. So that's a pretty high level of of inspiration from the brain. And so, yeah. And in short, I, I, I think that we don't want to replicate what human can do. erlying patterns between the received data. So that's a pretty high level of of inspiration from the brain. And so, yeah. And in short, I, I, I think that we don't want to replicate what human can do. And you don't want to have human intelligence. But on the other hand, we want to have a new form of intelligence that is really, you know, it's really proper and it's in there, you know, it's, it's designed in a good way that understands human needs. And so it can help people to, you know, do a lot of things that they might face some challenges without illness.…

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