Matt Mahoney via AGI wrote:
> Maybe you still disagree that 300M lines of code are required. If you
> said 100M lines I might agree. If you said 1M lines, then I would have
> to ask why after 60 years we are still paying people $70 trillion per
> year to do work that machines aren't smart enough to do. A new car
> (not self driving) has 30M lines of code. So if AGI were simpler than
> a car or an operating system, it should have been solved by now. Here
> are the market caps of the major players in AI who have petaflops of
> computing power and can afford $30 billion to write 300M lines of
> code. Google $365B Facebook $205B. IBM $159B I think this is our best
> hope for AGI. 

The missing ingredient is the theoretical framework. Once you have the
theoretical framework, you only need about 25k lines of code. If you
have more than that you are almost certainly not doing it right and
have, almost certainly, broken the generality in the AGI. Granted, there
are probably optimizations on modern hardware that require more code,
but in HLL, that's all you should need. If you find yourself writing
more then you should stop, re-think what you are doing and make sure you
are using the right approach.


-- 
IQ is a measure of how stupid you feel.

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