The Trillion Dollar Lawsuit, Part One
danco.substack.com1 pointsby redthrowaway0 comments
$ npm list --depth=0
<removed for opsec>
├── @babel/[email protected]
├── @babel/[email protected]
├── @graphql-codegen/[email protected] extraneous
├── @graphql-codegen/[email protected]
├── @graphql-codegen/[email protected]
├── @graphql-codegen/[email protected]
├── @graphql-codegen/[email protected]
├── @graphql-toolkit/[email protected]
├── @graphql-toolkit/[email protected]
├── @types/[email protected]
├── @types/[email protected]
├── @types/[email protected]
├── @types/[email protected]
├── @zeit/[email protected]
├── @zeit/[email protected]
├── [email protected]
├── [email protected]
├── [email protected]
├── [email protected]
├── UNMET PEER DEPENDENCY [email protected]
├── [email protected]
├── [email protected]
├── [email protected]
├── [email protected]
├── UNMET PEER DEPENDENCY [email protected] - 3
├── [email protected]
├── [email protected]
├── [email protected]
├── [email protected]
├── [email protected]
├── [email protected]
├── [email protected]
├── [email protected]
├── [email protected]
├── [email protected]
├── [email protected]
├── [email protected]
├── [email protected]
└── [email protected] $ time rm -rf node_modules/
real 1m2.969s
user 0m0.409s
sys 0m15.853s
What's interesting to me is not the above, which is naughty in the anglosphere, but the question of the unknown unknowns that could be as bad or worse in other cultural contexts. There are probably enough people of Indian descent involved in GPT's development that they could guide it past some of the caste landmines, but what about a country like Turkey? We know they have massive internal divisions, but do we know what would exacerbate them and how to avoid them? What about Iran, or South Africa, or Brazil?
We RLHF the piss out of LLMs to ensure they don't say things that make white college graduates in San Francisco ornery, but I'd suggest the much greater risk lies in accidentally spawning scissor statements in cultures you don't know how to begin to parse to figure out what to avoid.