Charan Ranganath

And the next time we're in a similar situation, boom, we can supplement our knowledge with this information from episodic memory and reason about what the right thing to do is, right? It gives us this enormous amount of flexibility to stop on a dime and change without having to erase everything we've already learned.

That solution is incredibly powerful because it gives you the ability to learn from so much less information really, and it gives you that flexibility. One of the things I think that makes humans great is having both episodic and semantic memory. Now, can you build something like that?

That solution is incredibly powerful because it gives you the ability to learn from so much less information really, and it gives you that flexibility. One of the things I think that makes humans great is having both episodic and semantic memory. Now, can you build something like that?

That solution is incredibly powerful because it gives you the ability to learn from so much less information really, and it gives you that flexibility. One of the things I think that makes humans great is having both episodic and semantic memory. Now, can you build something like that?

I mean, computational neuroscience people would say, well, yeah, you just record a moment and you just get it and you're done, right? But when do you record that moment? How much do you record? What's the information you prioritize and what's the information you don't? These are the hard questions. When do you use episodic memory? When do you just throw it away?

I mean, computational neuroscience people would say, well, yeah, you just record a moment and you just get it and you're done, right? But when do you record that moment? How much do you record? What's the information you prioritize and what's the information you don't? These are the hard questions. When do you use episodic memory? When do you just throw it away?

I mean, computational neuroscience people would say, well, yeah, you just record a moment and you just get it and you're done, right? But when do you record that moment? How much do you record? What's the information you prioritize and what's the information you don't? These are the hard questions. When do you use episodic memory? When do you just throw it away?

And these are the hard questions we're still trying to figure out in people. And then you start to think about all these mechanisms that we have in the brain for figuring out some of these things. And it's not just one, but it's many of them that are interacting with each other.

And these are the hard questions we're still trying to figure out in people. And then you start to think about all these mechanisms that we have in the brain for figuring out some of these things. And it's not just one, but it's many of them that are interacting with each other.

And these are the hard questions we're still trying to figure out in people. And then you start to think about all these mechanisms that we have in the brain for figuring out some of these things. And it's not just one, but it's many of them that are interacting with each other.

And then you just take not only the episodic and the semantic, but then you start to take the motivational survival things, right? It's just like the fight or flight responses that we associate with particular things or the kind of like reward motivation that we associate with certain things, so forth. And those things are absent from AIA. I frankly don't know if we want it.

And then you just take not only the episodic and the semantic, but then you start to take the motivational survival things, right? It's just like the fight or flight responses that we associate with particular things or the kind of like reward motivation that we associate with certain things, so forth. And those things are absent from AIA. I frankly don't know if we want it.

And then you just take not only the episodic and the semantic, but then you start to take the motivational survival things, right? It's just like the fight or flight responses that we associate with particular things or the kind of like reward motivation that we associate with certain things, so forth. And those things are absent from AIA. I frankly don't know if we want it.

I don't necessarily want a self-motivated LLM, right? And then there's the problem of how do you even build the motivations that should guide a proper reinforcement learning kind of thing, for instance. Yeah.

I don't necessarily want a self-motivated LLM, right? And then there's the problem of how do you even build the motivations that should guide a proper reinforcement learning kind of thing, for instance. Yeah.

I don't necessarily want a self-motivated LLM, right? And then there's the problem of how do you even build the motivations that should guide a proper reinforcement learning kind of thing, for instance. Yeah.

A friend of mine, Sam Gershman, I might be missing the quote exactly, but he basically said, you know, if I wanted to train like a typical AI model to make me as much money as possible, first thing I might do is sell my house. So it's not even just about having one goal or one objective, but just having all these competing goals and objectives, right?

A friend of mine, Sam Gershman, I might be missing the quote exactly, but he basically said, you know, if I wanted to train like a typical AI model to make me as much money as possible, first thing I might do is sell my house. So it's not even just about having one goal or one objective, but just having all these competing goals and objectives, right?

A friend of mine, Sam Gershman, I might be missing the quote exactly, but he basically said, you know, if I wanted to train like a typical AI model to make me as much money as possible, first thing I might do is sell my house. So it's not even just about having one goal or one objective, but just having all these competing goals and objectives, right?

And then things start to get really complicated.