I think there's some interesting perspectives here specifically around just like how do you sequence out the different applications that you want to go after, right? I feel like if you can really, like, one really nice property of these models is it's just so easy to go from zero to a hand-wavy 80% quality on a wide variety of tasks. For some of those tasks, that's all you need and sometimes the iteration loop of having that 80% thing with humans is all you need to do to go run it over the finish line. There's another side to this which, for lack of better word, I'll use the word risk," he said.
A re-broadcast of Greylock general partner Saam Motamedi's interview with Adept CEO and co-founder David Luan and Stanford computer science and statistics professor Percy Liang. In this conversation (recorded in mid-2022), David and Percy discuss how large language models are paving the way for the next wave of AI. Adept is developing an AI "teammate" tool that is trained to use every software tool and API for knowledge workers. The company just raised $350 million in Series B funding to further its mission. Greylock has been partnered with Adept since co-leading the Series A in 2022.
You can watch the video from this interview on our YouTube channel here:
https://youtu.be/_ydBm3tADvA
You can read a transcript of the conversation on our website here: https://greylock.com/greymatter/ai-language-words-into-action/
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