Note: This started as a quick take, but it got too long so I made it a full post. It's still kind of a rant; a stronger post would include sources and would have gotten feedback from people more knowledgeable than I. But in the spirit of Draft Amnesty Week, I'm writing this in one sitting and smashing that Submit button.
Many people continue to refer to companies like OpenAI, Anthropic, and Google DeepMind as "frontier AI labs". I think we should drop "labs" entirely when discussing these companies, calling them "AI companies"[1] instead. While these companies may have once been primarily research laboratories, they are no longer so. Continuing to call them labs makes them sound like harmless groups focused on pushing the frontier of human knowledge, when in reality they are profit-seeking corporations focused on building products and capturing value in the marketplace.
Laboratories do not directly publish software products that attract hundreds of millions of users and billions in revenue. Laboratories do not hire armies of lobbyists to control the regulation of their work. Laboratories do not compete for tens of billions in external investments or announce many-billion-dollar capital expenditures in partnership with governments both foreign and domestic.
People call these companies labs due to some combination of marketing and historical accident. To my knowledge no one ever called Facebook, Amazon, Apple, or Netflix "labs", despite each of them employing many researchers and pushing a lot of genuine innovation in many fields of technology.
To be clear, there are labs inside many AI companies, especially the big ones mentioned above. There are groups of researchers doing research at the cutting edge of various fields of knowledge, in AI capabilities, safety, governance, etc. Many individuals (perhaps some readers of this very post!) would be correct in saying they work at a lab inside a frontier AI company. It's just not the case that any of these companies as
Thanks for sharing! How much is this aimed at highly involved EAs vs people with no EA context? (ie, should I expect there to be a bunch of time explaining things I'm already familiar with/Holden has discussed on other podcasts).
I've been really enjoying some of your other episodes, thanks for making them!
I think if anything people might be frustrated with how little context I was giving the uninitiated viewer haha. You can skim the transcript first to see how much new material there is: https://www.dwarkeshpatel.com/p/holden-karnofsky
Maybe skip the first 5-10 mins if you wish. Especially from 20 mins in, it gets pretty interesting!