Cohere

“So we're not interested in making like a public facing bot for consumers to talk to. We're not interested in chasing AGI. We're not interested in a lot of, there's a lot of like weird public benchmarks that exist trying to measure, you know, how close we are t…”

“I don't think It's a clear path to AGI. I don't think we're going to be making digital gods anytime soon.”

“The market didn't really exist at that time. There was no, there was nobody selling access to large language models.”

“So when we first started training, we would I think we started training not with, like, a single kind of supercomputer, but by, with small amounts of GPUs spread out throughout a data center. And that is very, very slow, because you have to communicate between…”

“I think at some point, we'll get to a situation where companies are not AI companies the way companies are not, like, app companies anymore, right? Like, there was a time when everybody's like, oh, we got to make an app. We're an app company. We're going to ma…”

“When I think about Koshier's value, like it's not in, you know, the weights of any particular model. In fact, we we've released our model weights for researchers as well. So if researchers want to use our model, like they can download the weights from hugging …”

“I don't think we're going to get to a point where you will treat or think about an LLM as a person or a coworker. You will always know that it has very clear limitations and it can be useful when you give it the specific instructions of what to do, but it won'…”

“And where I think it is most useful is inside enterprises. So both for their internal use and for building stuff for pro for customers. But I think that's where it adds the most value.”

“When we were a, Six person company. The stakes felt just as high as when we are now a several hundred person company, customers all over the world, offices everywhere, you know, like the emotional impact feels the same.”