Bard

“We're making the decision to basically say, it feels like a higher risk to respond with something That is not a fair summary than just saying, we'd rather take the approach to say, like, I can't help with that yet.”

“One of the things that we started to see in some of these outputs as you start to kind of stream them out is, well, even though it was a function of probability and not regurgitation of copyrighted material, you would get a response, and then at the end of the…”

“Some people, and it turns out not the majority use case, but some people are going to use it to try to find information.”

“Like today, before I came here, we just talked about Bard being able to respond in real time. Other language models have been able to do that, but we have elected to present results in piecemeal, because it allows us to do a certain amount of filtering.”

“We knew that code, for example, was something that people were using language models for, but we didn't think it was good enough, and so at some point we made the decision to say, look, code's not ready, so code launched a couple weeks after we launched”

“It's part of why we talked about Bard as an experiment at this point. We don't think that this technology is yet ready to be a fully baked product.”

“And early on, we started saying things like, why tomorrow, why not today? Because what that ends up forcing isn't this, like, uncomfortable clash of, like, how dare you make it make something I'm asking for not a priority. It's, hey, share your priorities. Lik…”

“Which, happy to report, Bard does not hallucinate now on time and weather.”

“If you spend all your time trying to build the world's greatest product, the world's gonna move past you.”

“The challenge when you put a language model into an existing product is there's going to be a natural constraint of that. If all of a sudden I'm in Google Docs, and I want to ask for vacation ideas that I want to explore, or I'm trying to figure out what are s…”