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Joined 3 years ago
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Cake day: December 18th, 2023

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  • It’s double entendre, deriving from certain associations with Thailand. If one is in the know, one can read the meme as implying a rather implausible story. There is a humorous twist, but it would be rather dull if spelled out. This way, one derives satisfaction from decoding the meme, and knowing oneself to belong to the in-group.








  • I wasn’t clear enough. Turing was wondering if machines can think. But there is no sufficiently clear definition of the word “thinking” that could be used to answer the question.

    If you want to know if LLMs are AI, you can just look up the definition of AI and check if LLMs meet the criteria. You cannot do that to answer if they are thinking.

    So let’s take a task, which we agree takes thinking, and see if a machine can do it as well as a human. If it can, then the machine must be able to think. That’s how you think as a scientist.

    The test itself is similar to modern, placebo-controlled medical trials. That was not SOTA at the time, showing how clear thinking he was. Perhaps the WP entry on RCTs helps to understand how logic and reason may be applied in the face of uncertainty.

    But of course the test revolves around the definition of a word. Such definitions are fundamentally arbitrary. That means that the test itself is arbitrary. Science is rarely concerned with colloquial definitions. Usually you come up with some sort of operational definition that you use for the purpose of inquiry. The only question is, if that definition is useful.


  • When Turing proposed the test, he was talking philosophically about whether machines can think. He observed that we are not likely to agree on what “thinking” means. So we cannot simply test if a machine does that.

    He proposed that we might instead agree that some task requires thinking. If a machine can perform that task, then the machine can think. Turing told of a three-person party game called the “imitation game”, in which an interrogator asks questions of a man and a woman in another room in order to determine the correct sex of the two players.

    It’s very rational, very scientific. In the words of William James: "A difference which makes no difference is no difference at all."

    In light of his sexuality, It’s interesting that he chose that game. Looking at the transgender issue today, I think it’s a given that he wouldn’t have chosen that example now. Or believed that people are rational enough to be swayed by facts and logic.








  • It’s also funny how Lemmy is buying up this narrative.

    The entire US economy is currently being propped up by growth in the AI/tech sector.

    What’s happening is that Dementia Don is curb-stomping the US economy. AI investments, mainly in data centers, are the only thing that still seems promising. When you are on a trek and someone leads you through Death Valley, while pouring out all the water, you shouldn’t blame the last horse that still keeps going.

    Putting the blame in the right place would certainly help, with a view toward the mid-terms.

    Financially: Diversify. Make sure that you are not completely dependent on what happens in the US. But mind that Europe comes with its own imponderable risks (ie Putin). Same with China. Maybe some old leader dies and the new crew runs everything into the ground; they go to war with Taiwan, that sort of thing.




  • Ethical meaning : “private”, "anonymous, “not training with your data”, “no censured”, “open source”…

    Yes. You have to be careful with the meaning of “ethical”. Most often, people write about “ethical AI” to demand money for copyright owners.

    Case in point: Some people say that AI is only open source if the training data can also be shared freely. That means the training data has to be public domain or that permission by the copyright owner was obtained. If that’s what you mean by “open source”, then your options are extremely limited. EG some offerings from AllenAI.

    Uncensored is also tricky. Many say that ethical AI does not output bad content. Of course, what bad content is depends very much on who you ask. The EU or China have strict legal requirements but not the same, of course. In any case, when you train an AI, you steer it to generate a certain kind of output. Respectable businesses don’t want NSFW stuff. Some horny individuals out there want exactly that. So it depends on what you want.

    Check out the SillyTavernAI subreddit (and also LocalLlama). There you find people who value private, uncensored LLMs, though not necessarily copyright. It’s also where the above-mentioned horny individuals hang out for related reasons.

    Duckduckgo offers free, anonymous access to major Chatbots. Maybe worth checking out.