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A founder I really respect told me I should visit more startup offices while I’m in SF – to better understand how each company defines its edge.
I’ve always wondered: what’s the unique value proposition of smaller LLM startups like Perplexity when ChatGPT dominates the market by MAU?🤔
So I reached out to @dnlkwk @perplexity_ai and stopped by their downtown SF office. Here’s what I learned from our 40-minute conversation 👇
Perplexity’s bet is on accuracy and neutrality within smaller domains, rather than broad coverage.
Instead of trying to answer everything for everyone – from emotional support to general work assistance (as ChatGPT does) – they aim to be the go-to platform when the stakes are high and precision matters. Think analysts, researchers, or decision-makers who can’t afford inaccuracy or bias.
Their models are optimized for efficiency in analysis/research domains, requiring little context prompting (this is how I learned prompting to use ChatGPT more effectively back in the days – well, several months ago😅jeremyutley.com/blog/dont-keep…).
This trend toward model specialization actually resonates with what @sama shared about his vision for AGI during his fireside chat at @theresidency.🔥
Daniel also shared how marketers and SEO firms have flooded Reddit with positive posts to boost product visibility. ChatGPT has recently reduced its reliance (through Google indexing parameter change) on Reddit citations to counter this kind of manipulation (x.com/theandreboso/s…).
From the start, Perplexity has built its own independent search index, designed to resist SEO flooding and surface a broader range of perspectives. 🌐
I’m genuinely curious about OpenAI's approach to model's accuracy and neutrality while maintaining its generalist appeal – would love to hear others’ thoughts on this! 💭
And excited to see how Perplexity keeps doubling down on its unique value proposition! 🚀

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