Evidence receipt / evaluation
Published · transcript-backedChris Lattner: evaluation
14 Sept 2023 Latent Space Doing it the Hard Way: Making the AI engine and language 🔥 of the future — with Chris Lattner of Modular
“Get some crazy Python stack trace out of some tool because it covered the special case and now you're off that happy path, right? And so that compassion for users is something I think that, largely because AI infrastructure is so immature, but it's never been really part of the ethos of the people building tools.”
Source trail
Everything needed to verify it.
- Speaker
- Chris Lattner
- Attribution
- Verified speaker
- Claim type
- evaluation
- Recorded
- 14 Sept 2023
- Publisher
- Latent Space
Transcript context
…tech. One of the things that's super funny about working on compilers is nobody wants to know about a compiler. You're building a Mojo app or you're building a C app or whatever, right? You just want the compiler to get out of your way or tell if you did something wrong, right? If you're thinking about the compilers because it's too slow or it's, you know, broken in some way or something. And so AI tech should be the same way, right? I mean, how much of building and deploying a model is fighting with the tools? Get some crazy Python stack trace out of some tool because it covered the special case and now you're off that happy path, right? And so that compassion for users is something I think that, largely because AI infrastructure is so immature, but it's never been really part of the ethos of the people building tools. You chose things like, you know, your third pool has everything non-blocking. The sum of your first principles have led the module inference engine to be two to three times faster than PyTorch and TensorFlow, right?…
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