Aravind Srinivas, CEO of Perplexity AI, discusses web data saturation limits and the role of synthetic data and recursive self-improvement in AI models.
“At some point, like we lost saturated on data that, that exists on the internet. That's interesting enough for models to keep improving on that. The next big capability jump is probably going to come from the models teaching themselves.”
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More from Aravind Srinivas
PredictionNot checkable as stated
Srinivas: Google will lose its single search monopoly in the conversational era
“And in that era, I don't think Google is going to be the one single monopoly because they're already like far behind in this interface.”
Aravind SrinivasNov 1, 2023▶ 20:28Perplexity AI CEO on Dethroning Google & Redefining Search
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“Hence why, like, you know, I actually think Google is making a big mistake by trying to do whatever OpenAI is doing, right, like, going after them with the large, oh, I'm not, they're having GPT-IV, I'm going to turn Gemini.”
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“We believe that building your own index is even harder than trying to compete with GPT-IV because it's not a problem that's just solved with money.”
Aravind SrinivasNov 1, 2023▶ 33:38Perplexity AI CEO on Dethroning Google & Redefining Search
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“Yeah, I mean, like, if they don't want to be crawled, we shouldn't crawl them. You know, that's just being how the internet has worked. Like, you know, people have the robots, the text file, and like, you know, if they don't let you do it, then you should just…”
Aravind SrinivasNov 1, 2023▶ 42:22Perplexity AI CEO on Dethroning Google & Redefining Search
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“And it's actually fair use. The fact that you're attributing credit is fair use.”
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