2 min listen
ARCHIVE: GPT-3 Hype
FromAI + a16z
ratings:
Length:
33 minutes
Released:
May 1, 2024
Format:
Podcast episode
Description
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.
Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts.
Released:
May 1, 2024
Format:
Podcast episode
Titles in the series (10)
Welcome to the AI + a16z podcast: The AI + a16z podcast captures our thinking on AI across a broad swath of areas, from the infrastructure that powers today’s foundation models to how specific tools, like LLMs, are reshaping the hiring process. Looking forward, you can expect to hear about a list of topics that includes the latest advances in generative AI, cybersecurity, and the emerging stack of tools for building and running LLMs. by AI + a16z