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AI + a16z

Open Models and Maturation: Assessing the Generative AI Market

17 May 2024

Description

a16z partners Guido Appenzeller and Matt Bornstein join Derrick Harris to discuss the state of the generative AI market, about 18 months after it really kicked into high gear with the release of ChatGPT — everything from the emergence of powerful open source LLMs to the excitement around AI-generated music.If there's one major lesson to learn, it's that although we've made some very impressive technological strides and companies are generating meaningful revenue, this is still a a very fluid space. As Matt puts it during the discussion:"For nearly all AI applications and most model providers,  growth is kind of a sawtooth pattern, meaning when there's a big new amazing thing announced, you see very fast growth.  And when it's been a while since the last release, growth kind of can flatten off. And you can imagine retention can be  all over the place, too . . ."I think every time we're in a flat period, people start to think, 'Oh, it's mature now,  the, the gold rush is over. What happens next?' But then a new spike almost always comes, or at least has over the last 18 months or so. So a lot of this depends on your time horizon, and I think we're still in this period of, like, if you think growth has slowed, wait a month  and see it change."Follow everyone on X:Guido AppenzellerMatt BornsteinDerrick Harris Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts. Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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