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Comment by Lerc

3 hours ago

That might be the right analogy except it is not clear that it is a house always wins situation.

If you have a .6 chance of success on any particular outcome. Long term win or loss is down to your behaviour. If you double or nothing every time loss is guaranteed. The right strategy will win over the long term.

Gambling addicts make all kinds of post-hoc rationalizations for why they are actually up, if you think about it. "Well, if you consider my entertainment, I'm actually up." "Well, if you think of all the drinks I got comped, I'm actually up." Even worse are the ones who talk about runs, "I was up $10,000 at one point." Nevermind they gave it all back and another $20k chasing that first $10k. At the end of the day, if they had just gone to the movies instead, they'd have more money on their pocket.

Same with most people "doing a startup" or "opening a restaurant". There will be arguments all day long about how these affairs are technically possible and quite lucrative if everything goes according to plan. But the reality is that vanishly few people are equipped to identify and stick to the right plan. Reality meeting theory.

I've told my developers they can use agentic coding if they want, but they must never mention it in the course of development. Not because I don't want to know, but because it's not going to change my evaluation of "their" work. If they can use the AI and get to a point that they can submit a PR that they themselves understand, then technically speaking, what do I care? But if it breaks the build or does something stupid and they don't understand it, it's going to be a bad day for them, whether they wrote it themselves or copied it out of StackOverflow or had Gemini do it.

Nobody has taken me up on this offer, because I think they know that they aren't going to have the extreme discipline to do the hard thing of understanding "someone" else's code and sign their name to it.

  • > If they can use the AI and get to a point that they can submit a PR that they themselves understand, then technically speaking, what do I care?

    This is where my employer has ended up after extremely cautious AI adoption: _must_ be reviewed by a human, and the human whose name is on the gerrit review is responsible for the quality of the work.

    For some reason the OpenAI dashboard shows me how much money the company as a whole has spent? It's still a very reasonable-looking amount of money and a tiny fraction of salaries.

    • That doesn’t seem “extremely cautious,” it seems… exactly the right amount of cautious. “A computer can never be held accountable” and all that.

  • I am actually up all the drinks I got comped in Vegas. I sit down at the penny slots and bet one penny one row until I get offered a free drink. I tip the server $3, bet two more pennies for good measure, get up, and walk out with the drink in my hand. I just got like a $3.10 Manhattan for walking around the strip, including tip, courtesy of some business that was low-key trying to scam me and deserves to have less money than they do.

  • If they cannot mention it how do you know that they have not taken up the offer?

    I agree that people will rationalise being in a losing situation as a winning situation. That does not change the fact that winning situations can exist.