Speakers in the public record
Claim mix
belief 10evaluation 6commitment 3prediction 2recommendation 1
Evidence policy
Every row below preserves an exact excerpt. Identified speakers are linked; unresolved voices are labeled and excluded from people counts.
Claim ledger
The useful parts, with receipts.
22 published records
“One is, again, because a lot of products built on top of Gen AI, they are consumer-personal developer facing, and they require interactive experience.”
- Speaker
- Not verified from transcript
- Publisher
- Latent Space
“Our prediction is for those kind of applications, the inference is much more important than training because inference scale is proportional to the up-limit award population.”
- Speaker
- Not verified from transcript
- Publisher
- Latent Space
“You ran the PyTorch team at Meta for a number of years and we previously had Sumit Chintal on and I think we were just all very interested in the history of GenEI.”
- Publisher
- Latent Space
“At some point, we'll show on the YouTube, the image that Ray, I think, has been working on with all the different modalities that you offer.”
- Publisher
- Latent Space
“Now we heavily specialize in different domains. So my prediction is in the AI model space, it will happen also.”
- Speaker
- Not verified from transcript
- Publisher
- Latent Space
“We have many, yeah. So I think that is one of the underrated feature. And if they're developers, you are using our self-serve platform, please try it out.”
- Speaker
- Not verified from transcript
- Publisher
- Latent Space
“The feedback to the meta team is very important. So then they can use that to continue to improve the model and also improve the higher level I think the success of LamaStack heavily depends on the community adoption.”
- Speaker
- Not verified from transcript
- Publisher
- Latent Space
“I think there's an interesting dynamics in play in the industry right now, when it's more standardized across open AI, because they are kind of creating the top of the funnel, or standardized across Lama, because this is the most used open source model.”
- Speaker
- Not verified from transcript
- Publisher
- Latent Space
“I think we all come from a very aligned culture. Because most of our team came from meta.”
- Speaker
- Not verified from transcript
- Publisher
- Latent Space
“To many products, if you choose a lower quality, but better speed and lower cost, but it doesn't make a difference to the product experience, then you should do it. So that's why I think inference is part of the validation.”
- Speaker
- Not verified from transcript
- Publisher
- Latent Space
“Early on, when we got started, we decided we're going to be open AI compatible. It's just kind of very easy for developers to adopt this new technology, and we will manage the underlying complexity of serving all these models.”
- Speaker
- Not verified from transcript
- Publisher
- Latent Space
“We went through a massive scale where we actually are busy getting capacity to, yeah, we learned to kind of work with it as a team with a lot of brilliant people across different places to join a company.”
- Speaker
- Not verified from transcript
- Publisher
- Latent Space
“I will say, the interesting thing is, I think we're betting on the open source community is going to proliferate.”
- Speaker
- Not verified from transcript
- Publisher
- Latent Space
“I think I just somehow don't think about it too much and solve whatever problem coming our way and it worked.”
- Speaker
- Not verified from transcript
- Publisher
- Latent Space
“Noam and basically everyone on the Strawberry team was very insistent that what they did for reinforcement learning, chain of thought, cannot be replicated by a whole bunch of open source model calls. Do you think that that is wrong?”
- Publisher
- Latent Space
“I think I want to restate the value proposition of Fireworks for people who are comparing you versus a raw GPU provider like a RunPod or Lambda or anything like those, which is like you create the developer experience layer and you also make it easily scalable or serverless or as an endpoint.”
- Publisher
- Latent Space
“And then, do you see any more opportunity on the... You know, I think you made a big splash with 1,000 tokens per second.”
- Publisher
- Latent Space
“Cosign was doing well on SweetBench, but they didn't want to leak those results. So that's why you don't see O1 preview on SweetBench, because they don't submit their reasoning choices.”
- Publisher
- Latent Space
“You get short-term gains by having specialists, domain specialists, and then someone just needs to train like a 10x bigger model on 10x more inference, 10x more data, 10x more model perhaps, whatever the current scaling law is. And then it supersedes all the individual models because of some generalized intelligence slash world knowledge.”
- Publisher
- Latent Space
“Basically it's just like the meta version of whatever Hugging Face offers, you know, or TensorRT, or BLM, or whatever the open source opportunity is. But to me, it's not clear that just because Meta open sources Lama, that the rest of LamaStack will be adopted.”
- Publisher
- Latent Space
“The LoRa thing is interesting because I think you also, the reason people add additional costs to it, it's not because they feel like charging people.”
- Publisher
- Latent Space
“But I think you guys are one of the reasons I agreed to advise you. Because I think when you first met me, I was kind of dubious.”
- Publisher
- Latent Space