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It’s true that their training goal sometimes rewards them hallucinations, encouraging them do that, but that doesn’t mean it’s not reasoning. If anything halluc
by circuit10 4y ago
It’s true that their training goal sometimes rewards them hallucinations, encouraging them do that, but that doesn’t mean it’s not reasoning. If anything hallucinations involve more reasoning because they have to make up something new that wasn’t there
- hammyhavoc 4y agoIt's doing what LLMs do. Next word prediction. It didn't "make it up", it incorrectly predicted the relationship of words. It isn't reasoning about the solution to a problem either, it's running as expected in relating words to each other, that doesn't mean it has any form of understanding of the words or even what it's rendering as an output.
- circuit10 4y agoIt does just predict the next word, yes, but it turns out that predicting the next word is a complex problem that involves solving many types of subproblems that involve relatively complex reasoning, or at least something that looks very, very much like reasoning
- hammyhavoc 4y agoIs it any more reasoning than Bayes' theorem is reasoning? It's statistics and derived probability from said statistics.
- circuit10 4y ago> Bayesian inference is a method of statistical inference in which Bayes' theorem is used to update the probability for a hypothesis as more evidence or information becomes available. That is very clearly reasoning
- hammyhavoc 4y agoNo, it's probability entered into an algorithm as a variable. This is not reasoning, this is probability, and there is no reasoning involved. Go and program HomeAssistant (FOSS) with an automation using Bayes' theorem. Then proceed to laugh about all the fail states you encounter, thus realizing it is not reasoning, but probability. https://community.home-assistant.io/t/how-bayes-sensors-work-from-a-statistics-professor-with-working-google-sheets/143177 https://community.home-assistant.io/t/how-bayes-sensors-work... It's quite literally known as Bayesian probability.
- circuit10 4y agoI will admit that I don't know much about Bayesian statistics, but how does something producing probability as an output mean it's not reasoning? I'm pretty sure humans do that consciously and subconsciously all the time and we call that reasoning
- hammyhavoc 4y agoBecause it's just an arbitrary number. It has no concept of what the numbers mean or what it means when it gets a number that it doesn't have in its existing data set (the "training", more accurately described as references), whereas a human being can make an educated guess, or adapt to the unexpected outcome and thus provide a new novel solution. It isn't thinking about the numbers, it's executing maths, as programmed. Is a calculator reasoning? It doesn't understand what the numbers mean. It's an input-output machine. Is a sheet of paper with numbers on it the process of reasoning itself? No, of course not. Human beings apply meaning to the output, or feed that output into other things to drive processes that they've already created. If you kick the Boston Dynamics BigDog, it will compensate for the changes in x sensors and remain upright, or get back up, ergo it can traverse a dynamic (changing) environment, such as a battlefield, or an urban area with cars, people etc. It's not reasoning. It's conditional logic based on different vars. The BigDog bot doesn't understand what it is, where it's going, it doesn't think, it's applying maths to sensor inputs and motors on a recursive loop. If it encounters a problem it hasn't been programmed for, it cannot reason a new solution. By your logic, video game characters must use reasoning, when no, they don't. It's maths. Is it all fascinating? Yes, absolutely. Are there uses for it? Yes, absolutely. Is it reasoning? No.