Evidence receipt / evaluation
Published · transcript-backedDylan Patel: evaluation
6 Apr 2024 Latent Space Latent Space Chats: NLW (Four Wars, GPT5), Josh Albrecht/Ali Rohde (TNAI), Dylan Patel/Semianalysis (Groq), Milind Naphade (Nvidia GTC), Personal AI (ft. Harrison Chase — LangFriend/LangMem)
“can ballpark things like, you know, like, yeah, so, so, so, but basically like the, the point is like you're trading this is optimal, this is theoretically the most optimal architecture for performance power and area in a given, and you know, not, not specifically Grok, but VLIW in general is gonna get you closer to optimal there, but then you're giving off, you know, that, that last P, which is pain in the ass program, is, is I think the most simple way to get into it.”
Source trail
Everything needed to verify it.
- Speaker
- Dylan Patel
- Attribution
- Verified speaker
- Claim type
- evaluation
- Recorded
- 6 Apr 2024
- Publisher
- Latent Space
Transcript context
…Sometimes I also like to ballpark things in terms of like, like where a good middle median value should be and where like a good high value should be. Sorry. You, you, you can ballpark things like, you know, like, yeah, so, so, so, but basically like the, the point is like you're trading this is optimal, this is theoretically the most optimal architecture for performance power and area in a given, and you know, not, not specifically Grok, but VLIW in general is gonna get you closer to optimal there, but then you're giving off, you know, that, that last P, which is pain in the ass program, is, is I think the most simple way to get into it. There's like, computer architecture books about this, but it's, it's, it's a little little, little complicated, right? Yeah. Somebody asked, there's a lot of questions, that's great. Can we talk about LPU, Cerebrus, Tenstorin, some of these other architectures. How should people think about Maxim, SRAM versus Mix versus…
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