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I think deep research as a service could be a really strong use case for enterprises, as long as they have access to non-public data. I assume that most of this guarded data is high quality, and seeing progress in these areas might end up being even more impressive than it is now.


Tried running locally, gone were the days where you get broken responses on local models (i know this happened earlier but I tried after so many days)


complexity has to live somewhere, code anxiety was a real thing for me


until what happened?


yes the original TTC paper mentioned the optimal strategy for TTC


very few times we are encountered with developing from scratch


it fails for this query search("amazon.in", "fitness watch")


Ah, we've whitelisted some websites to prevent abuse -- amazon.in wasn't one of them. I just whitelisted amazon.in for you and tried the search query -- looks like it works!


+1 for considering how it could have been abused to visit blocked sites and circumvent online protections.

The syntax is also intuitive, although site loading seems pretty slow but maybe that's just the playground and the paid access is much faster.


Yep, we also run all our python code in sandboxes and a few other security measures!

Site loading is pretty now slow due to a combination of 1. traffic we're currently getting, 2. running a remote session, 3. running a few large vision language models, and 4. adding waits to allow pages to load/allow you to view your search results. We're working on cutting our latency significantly since it leads to a better development experience.


why are they trying to be a model provider as well as service provider


Why wouldn’t they? Most big tech cos offer products at multiple layers of the stack.


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