I think the perfect word for what we have with LLMs is a “bonanza”.
There’s no reason why such simple code should produce such sophisticated behaviour, yet it does!
Many different companies approaching similar levels of intelligence suggests there’s some sort of inevitability to what we have. Perhaps it is the will of the universe that intelligence should multiply.
Fable one-shotted a Rust rewrite of the TerminalTextEffects Python library in 11M tokens. Startup time went from 87ms to 2ms and rendering speed is up by 9.6x. Now zero dependencies and a 3mb single exec 🤯 https://t.co/3cTEQAqYdO
@aaronburnett No, I meant actual revenue in the year 2030 itself, not cumulative, which would be a higher number.
Of course, it’s always possible that we flounder along the way or are delusional, but those are our actual internal projections.
I’m always hit with a sense of awe that humans have created something so productively massive every time I drive by Giga Texas.
Given this scale image it’s tough to even fathom what a sight to behold Terafab will be!