However, the one thing I feel like is missed by some in these conversations is that what's being built is a general purpose thinking machine, not a coding machine. How are we going to transition from writing code to solving problems when the machines are solving the problems?
You can't outsource understanding, and to the extent LLMs can understand anything they can only learn through training. So until LLMs can truly learn, rather than bringing themselves up to speed with huge contexts, you'll probably still want some people who understand what it's doing.
I think Navier Stokes is a brilliant case study for all that it didn't do. An AI 'solved' a famous problem, of a kind that is impossible to cheat, yet the reaction is incredibly apathetic. Why? Because it apparently failed to do the thing people were hoping it would, but what exactly? Of course it also manages to fumble the delivery by antagonising the people most interested in the result, but still.
zeven7 · · focus · HN ↗
However, the one thing I feel like is missed by some in these conversations is that what's being built is a general purpose thinking machine, not a coding machine. How are we going to transition from writing code to solving problems when the machines are solving the problems?
shiandow · · focus · HN ↗
I think Navier Stokes is a brilliant case study for all that it didn't do. An AI 'solved' a famous problem, of a kind that is impossible to cheat, yet the reaction is incredibly apathetic. Why? Because it apparently failed to do the thing people were hoping it would, but what exactly? Of course it also manages to fumble the delivery by antagonising the people most interested in the result, but still.