Only if your AI coding approach is the slot machine approach.
I've ended up with a process that produces very, very high quality outputs. Often needing little to no correct from me.
I think of it like an Age of Empires map. If you go into battle surrounded by undiscovered parts of the map, you're in for a rude surprise. Winning a battle means having clarity on both the battle itself and risks next to the battle.
Until it produces predictable output, it's gambling. But it can't produce predictable output because it's a non-deterministic tool.
What you're describing is increasing your odds while gambling, not that it's not gambling. Card counting also increases your odds while gambling, but it doesn't make it not gambling.
This is a pretty wild comparison in my opinion, it counts almost everything as gambling which means it has almost no use as a definition.
The most obvious issue is it’d class working with humans as gambling. Fine if you want to make that as your definition but it seems unhelpful to the discussion.
Dam this is so accurate. As a project manager turned product manager this is so true. You need to estimate a project based on the “pedigree” of your engineers
Only if your AI coding approach is the slot machine approach.
I've ended up with a process that produces very, very high quality outputs. Often needing little to no correct from me.
I think of it like an Age of Empires map. If you go into battle surrounded by undiscovered parts of the map, you're in for a rude surprise. Winning a battle means having clarity on both the battle itself and risks next to the battle.
Good analogy! Would be interesting to read more details about how you’re getting very high quality outputs
Would you mind sharing some of your findings?
Until it produces predictable output, it's gambling. But it can't produce predictable output because it's a non-deterministic tool.
What you're describing is increasing your odds while gambling, not that it's not gambling. Card counting also increases your odds while gambling, but it doesn't make it not gambling.
This is a pretty wild comparison in my opinion, it counts almost everything as gambling which means it has almost no use as a definition.
The most obvious issue is it’d class working with humans as gambling. Fine if you want to make that as your definition but it seems unhelpful to the discussion.
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Similar to quantum computing, a probabilistic model when condensed to sufficiently narrow ranges can be treated as discrete.
Dam this is so accurate. As a project manager turned product manager this is so true. You need to estimate a project based on the “pedigree” of your engineers
Would it make us uncomfortable to reword the above example to
> AI coding is gambling on slot machines, managing developers is gambling on the stock market.
Because I feel like that is a much more apt analogy.
What is it with you guys and stallions?
There is a long history of managers just wanting to work their developers like horses.
Great analogy, I’m saving it!