@caseynewton
Clearest value prop for ‘AI’ is to steer scrutiny away from VCs, who have burned more cash in last decade than bankers up to the ‘08 financial crisis.

LLMs grab human written text from the internet and squish it into a million or so human written templates (the ‘transformer’).

Glorified Lorem Ipsum.

Think some of your most interesting reporting was the Cruze trip in SF.
They would have mapped that micro-region with sub-millimeter radar, they could / should have hard coded the road boundaries (eg yellow lines, median) - and yet the car still couldn’t stay in the lane!
We all underestimate the final 20%, from an 80% test to a working product.
What’s the ‘stay-in-lane’ basics equivalent in AI? Before we talk about job impacts, weird philosophical etc, can the AI get the basics right?

@caseynewton

@molly0xfff

My heart sank when I read your a16z thread, but especially the ‘Dookie Dash’ logo.

So much resources - life times and life savings - have gone into crypto, and a defining ‘success’ is Dookie Dash?!

I feel we’ve learned nothing, and we’ve just switched hype trains from web3 to AI.

The issue *literally* with this bank was too little diversity.
I bet you their client-base was an exceptionally high proportion of white dudes.

@QasimRashid

Maybe he wants to see the same cuts to the Twitter user base as the workforce
“We only want hardcore users of Twitter”

@caseynewton