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Then obviously feel free to dive in on your other work. I know you're you're not just doing deep research. Right? But, you know, we're just kind of focusing on on deep research here. I actually have asked for modifications after this first run Mhmm.
This is actually Morgan Square that he's he loves to test. Is help me understand how milk and meat regulations differ between The US and Europe. What's nice is the first step is actually where it puts together a research plan that you can review. And
research. So like on the fundamental side, for instance, when we have done some work applying SAEs and probes, we've encountered, you know, some shortcomings in SAEs that we found a little bit surprising. And so have gone back to the drawing board an
and realized that it still fell short of black box techniques like prompting or fine tuning. And so went back to the drawing board and we're like, how do we make that not the case? And how do we improve it beyond that? And one of our researchers, Ekd
Last month, landed podcast, like, two months ago. Right? It's not it's not very, very exciting. But, like, if the queries are like, the the keywords are, like, more, more diverse. Right? And then look at the results of the of the search query, and le
And but you need to the more specific the prompt, the better the deep research report is going to be. So a lot of people are using o one to help them build sophisticated prompts that they then feed in, to deep reasoning. And so I think that there's s
to do, like, consumer modeling and stuff like that. So, I mean, that's sort of the the secret of all of these studies of, like, what people are doing on the Internet is they generally come from, like, clickstream panel data, which is valuable, but it
More than focusing on, like, SEO and performance marketing specifically, more like there's just a change in the way consumers kind of interact with the Internet. And I'd say that's still true today. Like, that's still sort of the core thesis of the b
One of my favorites is cloud agent diagnosis. This is one that makes heavy use of the Datadog MCP. Okay. And I think Nick and David on our team wrote. And, basically, if there is a problem with a cloud agent, we'll spin up a bunch of sub agents. Inst
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