François Chollet already have a response[1] for you in his thread:
> One last thought -- don't overindex on the web3 <> LLMs comparison. Of course web3 was pure hot air while LLMs is real tech with actual applications -- that's not the parallel I'm making. The parallel is in the bubble formation social dynamics, especially in the VC crowd.
`Everyone` refers to all people in a given subset of the population. E.g. "Everyone arrives to school by 7:30" Obviously you're talking about people at a specific school, not every human on Earth.
I wouldn't have written "everyone", but technically incorrect use of language is, ironically, one of the things people jump on GPT for when it gets things wrong: https://news.ycombinator.com/item?id=34292129
No, quote uses “Everyone” in the context of people expecting return on investment: “ Everyone is expecting as a sure thing "civilization-altering" impact (& 100x returns on investment) in the next 2-3 years”
Not so. And even if it were so the statement he is making is still false - I’m absolutely certain not everyone who has investment expectations expects 100 x returns in 2-3 years. It’s a very sloppy tweet.
I just read your newsletter. In an opening, you say "Hi everyone and thanks for subscribing." I haven't subscribed so your usage of "everyone" can't literally apply to every reader. Is it possible that using "everyone" is appropriate in such situations even if the statement doesn't literally apply to every single member of the subset?
> One last thought -- don't overindex on the web3 <> LLMs comparison. Of course web3 was pure hot air while LLMs is real tech with actual applications -- that's not the parallel I'm making. The parallel is in the bubble formation social dynamics, especially in the VC crowd.
[1]: https://nitter.lacontrevoie.fr/fchollet/status/1612178630494...