The a16z Show30 Jul 2020

GPT-3: What's Hype, What's Real on the Latest in AI

In this episode -- cross posted from our 16 Minutes show feed -- we cover all the buzz around GPT-3, the pre-trained machine learning model from OpenAI that’s optimized to do a variety of natural-language processing tasks.

It’s a commercial product, built on research; so what does this mean for both startups AND incumbents… and the future of “AI as a service”? And given that we’re seeing all kinds of (cherrypicked!) examples of output from OpenAI’s beta API being shared — how do we know how good it really is or isn’t? How do we know the difference between “looks like” a toy and “is” a toy when it comes to new innovations?

And where are we, really, in terms of natural language processing and progress towards artificial general intelligence? Is it intelligent, does that matter, and how do we know (if not with a Turing Test)? Finally, what are the broader questions, considerations, and implications for jobs and more? Frank Chen explains what “it” actually is and isn’t and more in conversation with host Sonal Chokshi. The two help tease apart what’s hype/ what’s real here… as is the theme of 16 Minutes.

Stay Updated:

Find a16z on YouTube: YouTube

Find a16z on X

Find a16z on LinkedIn

Listen to the a16z Show on Spotify

Listen to the a16z Show on Apple Podcasts

Follow our host: https://twitter.com/eriktorenberg

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.

Denne episoden er hentet fra en åpen RSS-feed og er ikke publisert av Podme. Den kan derfor inneholde annonser.

Episoder(1000)

Ruby Thelot on Internet Culture, AI, and the Future of Taste

Sophia Dew and Sofia Puccini are joined by Ruby Thelot, designer, artist, cyberethnographer, professor at NYU, and founder of 13101401, for a wide-ranging conversation about internet culture, AI, digi...

2 Aug 34min

Marc Andreessen and Chris Dixon: What’s at Stake in Crypto Regulation

Marc Andreessen, Chris Dixon, and Robert Hackett discuss one of the most consequential policy debates facing the crypto industry: the push for comprehensive U.S. market structure legislation and what ...

1 Aug 59min

How Enterprise AI Really Gets Deployed

Sarah Wang and Kimberly Tan are joined by Jesse Zhang and Ashwin Sreenivas, co-founders of Decagon, to discuss the evolution of enterprise AI agents, why the company increasingly relies on open-source...

31 Jul 1h 20min

AI for America's Small Businesses | Lassie

Alex Rampell and Olivia Moore speak with Lassie cofounders Steijn Pelle and Frédéric Renken about bringing AI to one of the most overlooked parts of the economy: small businesses. Inspired by time spe...

30 Jul 58min

AI Micro Dramas, Generative Media, and the Future of Creativity

Justine Moore, partner at Andreessen Horowitz, joins New Economies to explore the rapid evolution of generative media and why AI-native content is reaching an inflection point. They discuss the rise o...

29 Jul 51min

Fei-Fei Li on Spatial Intelligence and Robotics

Last week, World Labs announced its acquisition of SceniX, bringing together two teams working on one of AI's biggest unsolved problems: how to give machines a true understanding of the physical world...

28 Jul 43min

Steven Sinofsky: AI Doesn't Need New Rules Yet

Steven Sinofsky joins Theo Jaffee and Sofia Puccini for a conversation on AI regulation, open-source models, and what history can teach us about technological revolutions. Drawing on decades of experi...

27 Jul 29min

Ben Horowitz: The Fight Over Open Source AI

Ben Horowitz joins Theo Jaffee and Sofia Puccini to discuss one of the biggest debates in AI today: the future of open-source models. They examine the growing push to restrict open models, why Ben bel...

26 Jul 32min