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Okay, so they're introducing Perplexity Labs and differentiating it from regular deep research. It sounds like Labs is all about taking that research and turning it into usable assets, which is a pretty interesting concept.

So, the core research engine is the same as deep research, but the key differentiator is the output – it can build assets. I like the idea of just clicking a lightbulb icon and specifying what you want, like a dashboard or code.

Hmm, it's good to hear they're upfront about the limitations. The iterative refinement thing sounds a bit frustrating, where each change is a new request. And the security aspect, not being able to revoke links, is definitely a concern.

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Perplexity Labs offers a distinct advantage over standard deep research by integrating asset generation with its analytical capabilities [0:30]. While both features share the same research engine, Labs allows users to specify desired outputs like interactive dashboards or code files, transforming raw data into actionable assets [1:00]. However, current limitations include difficulty with iterative refinement, where changes are treated as new requests [1:00], and a lack of robust security features for revoking shared links [1:30].

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What Perplexity Labs Actually Does - AI Video Analysis

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