Organizations
How companies, institutions, and movements embody the sixteen values.
Curiosity as infrastructure
Google organized itself around the premise that information access is the most important problem in the world and that the right people given enough freedom will figure out how to solve it. Its famous 20% time policy, its hiring of PhDs to drive trucks as a test of ambition, and its willingness to launch half-finished products into public beta all reflect a growth-oriented culture that prizes exploration over execution and treats the current state of any product as a working hypothesis.
Curiosity as infrastructure
Google organized itself around the premise that information access is the most important problem in the world and that the right people given enough freedom will figure out how to solve it. Its famous 20% time policy, its hiring of PhDs to drive trucks as a test of ambition, and its willingness to launch half-finished products into public beta all reflect a growth-oriented culture that prizes exploration over execution and treats the current state of any product as a working hypothesis.
Search that actually works. Maps, Gmail, Chrome, Android. Products that make the digital environment more navigable for billions of people, built by curious engineers given permission to follow interesting problems wherever they lead.
A hundred half-maintained products abandoned mid-development. A graveyard of discontinued services that users had come to depend on. Organizational scale that makes the curiosity diffuse and the follow-through inconsistent. The inability to build a social network three separate times.
PageRank - a graduate student's insight that links between pages are more informative than the pages themselves, pursued as a research problem until it became the most valuable algorithm ever deployed.
Netflix
Curiosity about what people actually want
Netflix built its advantage through data-informed curiosity: a genuine willingness to investigate what viewers actually watch, when they watch it, and what keeps them watching, and to use those findings to make counter-intuitive decisions. Releasing full seasons at once contradicted every broadcast television intuition about maintaining weekly engagement. Investing in foreign-language content while American studios thought it was unscalable. Canceling shows based on completion rates rather than premiere ratings. The culture document Reed Hastings published is one of the most honest descriptions of a corporate value system ever written.
Netflix
Curiosity about what people actually want
Netflix built its advantage through data-informed curiosity: a genuine willingness to investigate what viewers actually watch, when they watch it, and what keeps them watching, and to use those findings to make counter-intuitive decisions. Releasing full seasons at once contradicted every broadcast television intuition about maintaining weekly engagement. Investing in foreign-language content while American studios thought it was unscalable. Canceling shows based on completion rates rather than premiere ratings. The culture document Reed Hastings published is one of the most honest descriptions of a corporate value system ever written.
House of Cards, Stranger Things, The Crown, Squid Game. A distribution model that made prestige television global and gave international creators access to a world audience. A working environment that pays top-of-market and fires poor performers rather than managing them.
A cancellation rate that makes long-arc storytelling structurally impossible. A recommendation algorithm that exploits completion-rate data to surface the most watchable rather than the most meaningful content. The eventual addition of advertising to a service that was built on the premise that advertising was the problem.
The decision to produce original content - a streaming service deciding to become a studio, on the grounds that the data said viewers would watch it.
OpenAI
Growth toward something the world is not ready for
OpenAI operates in a distinctive tension: a growth-oriented research organization built on the premise that artificial general intelligence is coming and that it is safer to have safety-focused researchers at the frontier than to cede that position to less safety-conscious actors. The tension between its nonprofit mission and its commercial partnerships is not hypocrisy so much as a genuine strategic dilemma about whether the goal of beneficial AI is better served by leading the field or by not participating in it.
OpenAI
Growth toward something the world is not ready for
OpenAI operates in a distinctive tension: a growth-oriented research organization built on the premise that artificial general intelligence is coming and that it is safer to have safety-focused researchers at the frontier than to cede that position to less safety-conscious actors. The tension between its nonprofit mission and its commercial partnerships is not hypocrisy so much as a genuine strategic dilemma about whether the goal of beneficial AI is better served by leading the field or by not participating in it.
Research published openly that advances the entire field. GPT-4, DALL-E, Sora - demonstrations that capability is advancing faster than most people assumed. A safety-focused culture that debates AI risk seriously rather than dismissing it as science fiction.
A board structure that produced a 72-hour CEO removal and immediate reinstatement that raised every governance question it was supposed to answer. A commercial partnership with Microsoft that made the nonprofit mission structurally ambiguous. The tension between publishing research openly and racing to deploy before competitors.
The release of ChatGPT in November 2022 - a growth-oriented research organization accidentally creating the fastest-adopted technology product in history and then having to figure out what that meant.