Arvind Narayanan
👤 PersonAppearances Over Time
Podcast Appearances
These ideas about AI developing an agency of its own and deciding to do stuff, these are pure sci-fi scenarios. Based on the way that AI is currently built today, those speculative scenarios really have no basis in reality.
These ideas about AI developing an agency of its own and deciding to do stuff, these are pure sci-fi scenarios. Based on the way that AI is currently built today, those speculative scenarios really have no basis in reality.
These ideas about AI developing an agency of its own and deciding to do stuff, these are pure sci-fi scenarios. Based on the way that AI is currently built today, those speculative scenarios really have no basis in reality.
AI is an umbrella term for a loosely related set of technologies. You have, on the one hand, generative AI like chat GPT. On the other hand, you have self-driving cars and you have predictive AI, AI that's used in the criminal justice system, for instance, to make enormously consequential decisions about people, AI that's used in healthcare.
AI is an umbrella term for a loosely related set of technologies. You have, on the one hand, generative AI like chat GPT. On the other hand, you have self-driving cars and you have predictive AI, AI that's used in the criminal justice system, for instance, to make enormously consequential decisions about people, AI that's used in healthcare.
AI is an umbrella term for a loosely related set of technologies. You have, on the one hand, generative AI like chat GPT. On the other hand, you have self-driving cars and you have predictive AI, AI that's used in the criminal justice system, for instance, to make enormously consequential decisions about people, AI that's used in healthcare.
These types of AI generally have very little to do with each other. And it's true that some types of AI, notably generative AI, are rapidly advancing.
These types of AI generally have very little to do with each other. And it's true that some types of AI, notably generative AI, are rapidly advancing.
These types of AI generally have very little to do with each other. And it's true that some types of AI, notably generative AI, are rapidly advancing.
But we should be careful about, I think, the snake oil salesmen in the AI world who like to just slap the AI label on whatever tech product they're selling to try to get us to think that it is some remarkable technology that's going to solve all our problems for us.
But we should be careful about, I think, the snake oil salesmen in the AI world who like to just slap the AI label on whatever tech product they're selling to try to get us to think that it is some remarkable technology that's going to solve all our problems for us.
But we should be careful about, I think, the snake oil salesmen in the AI world who like to just slap the AI label on whatever tech product they're selling to try to get us to think that it is some remarkable technology that's going to solve all our problems for us.
Oh, not at all. And I would say to listeners that if someone tells you it's too complicated, you should be skeptical. They're probably trying to hide something. But in broad strokes, so let's take a couple of different types of AI. So what's happening in ChatGPT is that it's simply a machine, and some of you may have heard this, a machine for predicting the next word in a sequence of words.
Oh, not at all. And I would say to listeners that if someone tells you it's too complicated, you should be skeptical. They're probably trying to hide something. But in broad strokes, so let's take a couple of different types of AI. So what's happening in ChatGPT is that it's simply a machine, and some of you may have heard this, a machine for predicting the next word in a sequence of words.
Oh, not at all. And I would say to listeners that if someone tells you it's too complicated, you should be skeptical. They're probably trying to hide something. But in broad strokes, so let's take a couple of different types of AI. So what's happening in ChatGPT is that it's simply a machine, and some of you may have heard this, a machine for predicting the next word in a sequence of words.
What is the most likely next word? And it turns out, and this was largely a surprise to AI researchers as well, that the way for AI to be really good at predicting the next word in a sequence of words is to have some quote unquote understanding of language, of grammatical rules and patterns, and understanding of facts about the world.
What is the most likely next word? And it turns out, and this was largely a surprise to AI researchers as well, that the way for AI to be really good at predicting the next word in a sequence of words is to have some quote unquote understanding of language, of grammatical rules and patterns, and understanding of facts about the world.
What is the most likely next word? And it turns out, and this was largely a surprise to AI researchers as well, that the way for AI to be really good at predicting the next word in a sequence of words is to have some quote unquote understanding of language, of grammatical rules and patterns, and understanding of facts about the world.
Because if you have a sentence like the capital of France is blank, It helps to know what the capital of France is so that you can complete that sentence with a high probability word instead of a low probability word. So it turns out that's really the secret behind it. And it might seem a little bit disappointing to hear that that's all it is. And in a sense, that's all it is.
Because if you have a sentence like the capital of France is blank, It helps to know what the capital of France is so that you can complete that sentence with a high probability word instead of a low probability word. So it turns out that's really the secret behind it. And it might seem a little bit disappointing to hear that that's all it is. And in a sense, that's all it is.