Using AI tools like ChatGPT there will be a big push for trying to automate
coding with the most popular languages like Python. With more open environments
like LiveCode it may get to be harder.It will always be started with by
definition incomplete set of start with incomplete definition, and in most
cases with also not good definition of an optimal solution. A popular example
of a good set of these definitios would be the set of stock moves (buy, sell),
with an objective to get max increase in profits. But to suggest 'short' as a
new approach might not happen.Unless you talk about a sizable engine like IBM
Deep Blue chess one. And in quite many languages (like for example in VHDL)
there are easily detectable structures creating inefficieces and correct those,
but creating novel solutions around requires sufficient knowledge base to
suggest those.So, improving coding & efficiency could be a proper tool for the
AI in coding but building a system interacting with a normal, creative humans
needs innovativeness, which is not creatable just leaning on (always
incomplete) knowledge data bases.chris...@mindcrea.com+358-400-410216
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