Azeem Azhar's Exponential View
Jan 2, 2025 · 50 min · 10 segments
Kai-Fu Lee joins me to discuss AI in 2025. Kai-Fu is a storied AI researcher, investor, inventor and entrepreneur based in Taiwan. As one of the leading AI experts based in Asia, I wanted to get his…
Kai-Fu LeeGuest
Azeem AzharHost
So it's interesting that both of the examples that you've given are more sort of sophisticated applications, right? We think about the foundation model, you access it via an API, then we threw a chat interface over the top, but we haven't perhaps outside of...
My sense of 2025 is that one of the words that will be common will be the idea of agents, right? Agent-based systems emerging.
So I would say, you know, text and text to image, we're going to see lots of applications and lots of applications and products.
If chat GPT was an indication, it would shock the world, but didn't change anything.
people in the way they use tools until the main problems like hallucination and recency were fixed or non-humanness were fixed.
We'll need to take time to fix text-to-video and we'll need to take time to fix agents.
But for those two technologies, we'll see vertical applications that are less vulnerable.
to the current problems of these technologies that just came out, are exciting, but either are too expensive or still have rough edges to be smoothed over.
the point being that for a broad application, you need a tree of robustness because a broad application is all about edge cases, whereas in a vertical industry application, everyone's use is a bit more constrained.
So it's interesting that both of the examples that you've given are more sort of sophisticated applications, right? We think about the foundation model, you access it via an API, then we threw a chat interface over the top, but we haven't perhaps outside of...
My sense of 2025 is that one of the words that will be common will be the idea of agents, right? Agent-based systems emerging.
So I would say, you know, text and text to image, we're going to see lots of applications and lots of applications and products.
If chat GPT was an indication, it would shock the world, but didn't change anything.
people in the way they use tools until the main problems like hallucination and recency were fixed or non-humanness were fixed.
We'll need to take time to fix text-to-video and we'll need to take time to fix agents.
But for those two technologies, we'll see vertical applications that are less vulnerable.
to the current problems of these technologies that just came out, are exciting, but either are too expensive or still have rough edges to be smoothed over.
the point being that for a broad application, you need a tree of robustness because a broad application is all about edge cases, whereas in a vertical industry application, everyone's use is a bit more constrained.
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