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Published · transcript-backed

Speaker unverified: belief

29 Mar 2025 Latent Space Unsupervised Learning x Latent Space Crossover Special

“Sort of, I think there'll be a lot of workloads still on device, but when you need to speak to the cloud for larger LLMs, I think that Apple has done really interesting thing on the privacy side.”

— Speaker unverified

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Everything needed to verify it.

Speaker
Speaker unverified
Attribution
Not verified from this transcript
Claim type
belief
Recorded
29 Mar 2025
Publisher
Latent Space

Transcript context

…So you're negative on Apple [00:12:00] Intelligence, but also on Apple Cloud, on the more of the local device. Sort of, I think there'll be a lot of workloads still on device, but when you need to speak to the cloud for larger LLMs, I think that Apple has done really interesting thing on the privacy side. Yeah. We did the seed of a company that does that, so Yeah. Especially as things become more co that you set 'em up on purpose. So that felt like a perfect Yeah, no, I was like, let's go Jordan, you guys concluding before this episode? Tell me about that company after. We'll chat after, but, but yes, I, I think that's like the unique the thing about LLM workflows is like you just cannot have everything be single tenant, right? Because you just cannot get enough GPUs. Like even like large enterprises are used to having VPCs and like everything runs privately. But now you just cannot get enough GPUs to run in a VPC. So I think you're gonna need to be in a multi-tenant architecture, and you need, like you said, like single tenant guarantees in multi-tenant environment. So yeah, it's a interesting space.…

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