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Joined 3 years ago
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Cake day: August 22nd, 2023

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  • Ale and Tale Tavern is great co-op fun, and terribly cozy. It’s primarily fantasy themed overcooked, but with much chiller vibes.

    There’s optional adventurer stuff, but it is pretty light, there’s good accessibility settings, and the adventuring can be delayed until stronger gear is available or done cooperatively, making it much easier.

    Over time, you can upgrade your gear and decorate the tavern.

    If anything, the game’s flaw is just that it’s relatively short, for an economy simulation game.

    (6 to 8 hours with my group unlocked everything. We played past the end for maybe another two hours just for the chill vibes.)




  • Thought about a couple cases of his favorite beer. Still might do that. Any other ideas?

    Consumables that the person already likes make great gifts, since they will get used up and not sit around.

    I usually avoid abusable substances, just in case the person has a carefully balanced relationship with that substance.

    But you know your friend.

    Sometimes I just ask first. No real reason this needs to be a surprise.

    “I know you said you won’t take cash, but I’m going to grab you two cases of X as a thank you, on my way back.”

    Then they get a chance to call me off, or redirect me if it would be a problem.

    And I’ll always let them call it off with even a mild “no thanks”, since they might not want to say to me “I have a real problem with X and I can’t safely have thay much on hand.”.



  • Thanks. I think every data point helps people.

    I can’t say that particularly shocks me. I imagine that Chat GPT has probably swallowed dozens of Physics textbooks.

    The bigger part of the problem is knowing where we are on the human knowledge novelty / training data available curve, or rather, when we need to get off of the ride.

    Edit: Any chance your chosen AI has access to Wolfram Alpha as an MCP Tool? Because that would be very different, too.

    If it’s successful at math, there’s likely much more than a learning model in play.

    Which brings us back to the opacity problem. :(

    If the answer machine has been cleverly rigged (and weighted) to pass off math questions to more capable software, things can be great.

    But a person who just hears that AI can do math now can have a very bad time if they go blindly use a brute force pleasant answer machine on a math problem. :(




  • For simple math that could work, and as long as the question is close enough to an exact match with plenty of published examples to copy.

    A good rule of thumb is that the script it will come up with is about as likely to be correct as blindly taking the highest voted answer to the most similar question on Stack Overflow.

    If the question is simple and common, the odds are quite good. If the question is nuanced or rare, the odds of a correct result drop off aggressively.

    Edit: Your mileage may vary - providing an API to these LLMs that can do math correctly for them is pretty easy. Getting the LLM to consistently detect when to use that API is more challenging.