> But those founders be content with merely making a hundred million?
What does this mean? Without some insane wealth tax this is literally impossible. No founder chooses to become a billionaire. They just keep growing a business that is solving a billion dollar problem.
The only other was is if after 100M they start turning down customers or restricting services.
> Algorithms written in "pseudo-code", aka a higher level language without type information, are far more readable to a human, and thus likely an LLM too.
What’s the basis of this claim? There are many many more lines of code LLM’s are trained versus pseudo-code.
Also I agree, anecdotally the self-correction is key benefit from static types. If there is a mistake, it is caught at compile time and not at runtime.
Just some numbers ~1.5M housing units are built in the US with an approx cost of $300k - $400k. That is $450B to $600B going into housing units construction every year.
On the other hand VC has maybe $1T AUM in the US. Maybe 10%-20% of that is deployed every year? So $100b to $200B.
What is wrong with that ratio? Could there be better solutions to make more housing cheaper? (lower regulations, efficient permitting, etc)
Money moving from VC to housing seems without a first principled approach on what problem your solving and how is silly.
What does this mean? Without some insane wealth tax this is literally impossible. No founder chooses to become a billionaire. They just keep growing a business that is solving a billion dollar problem.
The only other was is if after 100M they start turning down customers or restricting services.