ARCHIVE: GPT-3 Hype

In this episode, though, we’re traveling back in time to distant — in AI years, at least — past of 2020. Because amid all the news over the past 18 or so months, it’s easy to forget that generative AI — and LLMs, in particular — have been around for a while. OpenAI released its GPT-2 paper in late 2018, which excited the AI research community, and in 2020 made GPT-3 (as well as other capabilities) publicly available for the first time via its API. This episode dates back to that point in time (it was published in July 2020), when GPT-3 piqued the interest of the broader developer community and people really started testing what was possible.And although it doesn’t predict the precambrian explosion of multimodal models, regulatory and copyright debate, and entrepreneurial activity that would hit a couple of years later — and who could have? — it does set the table for some of the bigger — and still unanswered — questions about what tools like LLMs actually mean from a business perspective. And, perhaps more importantly, what they ultimately mean for how we define intelligence.So set your wayback machine to the seemingly long ago summer of 2020 and enjoy a16z’s Sonal Chokshi and Frank Chen discussing the advent of commercially available LLMs. 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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