Gambling addition implies dopamine hits from irregular and uncertain outcomes: as I note in the post, I don't get a dopamine hit from running agents. I know people say "LLMs are just gambling because they're next-token-maximizers that can't write real code" but with GPT 5.6 Sol (and a few new tricks I discovered) the outputs are much less irregular and uncertain. It's just typical engineering.
"Not wanting to waste money" is the polar opposite of gambling.
> and a few new tricks I discovered
This right here. Any gambler would recognize that statement.
> dopamine hits from irregular and uncertain outcomes
Like the LLM getting the solution right?
Yes I agree with you here.
LLMs tend to be a bit random, but are still more consistent and predictable than slot-machines. Also, gambling tends to exert lower effort and higher dopamine hits than vibe-coding, making it way more addictive.
But LLMs are still addictive to some extent. Maybe its around the same level as other behavioral addictions like food, social media, or gaming addictions.
> Gambling addition implies dopamine hits from irregular and uncertain outcomes
Your post literally describes your fascination with trying to figure out the pattern of a "random" reward that you get, and trying to maximize the value you get out of it.
I put "random" in scare quotes because I strongly believe that—just as slot machine payouts are carefully structured to keep you playing—these LLM resets are structured to keep heavy users like you coming back to max out their usage, and to progressively upgrade it.
Several other commenters have also stated this same suspicion about the pattern of resets you're describing.
> "Not wanting to waste money" is the polar opposite of gambling.
From everything I've read about gambling addiction, particularly Jay Caspian Kang, that seems wrong.
The desire to "not waste money" and "get back to even" seems like a huge part of what motivates gamblers to keep gambling.