Shawn Wang: belief

Transcript context

…I'll also ask you that, but if you have any ideas, let me know. For us, actually, we were planning on asking very similar questions because for us, the value of the survey is mostly seeing changes over time and understanding like, okay, wow, for example, GPT-4 Turbo MPS has declined. That would be interesting, actually. One thing that was actually pretty shocking to us was, let me find the exact number, but one change that we saw, for example, if you compare GPT-3.5 MPS, I want to say it was like 14 or something, it was not high, actually. The GPT-4 MPS thing was like 45 or something like that, so it was actually quite a bit higher. So I think that kind of progress over time is what we're most interested in seeing, is are models getting worse, models getting better? Are people still loving PG Vector? Do people still love Mongo? Stuff like that. That I think is the most interesting. It seems like you're very language model focused. I think that there's an increasing interest in multi-modality in AI, and I don't really know how that is going to manifest. Obviously, GPT-4 Vision, as well as Gemini, both have multi-modal capabilities. There's a smaller subset of open source models that have multi-modal features as well. We just released an episode today talking about IdaFix from Hugging Face, and I would like to understand how people are adopting or adapting to the different modalities that are now coming online for them. What their demand is relative to, let's say, generative images versus just visual comprehension versus audio versus text-to-speech. What do they want?…

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