this post was submitted on 02 Mar 2025
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GenZedong
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I think the difference between generative AI and AI as a whole needs to be made here. DeepSeek is generative AI, along with all the issues that goes along with that but there are very applicable AI based systems for professional, industrial, and scientific uses. The level of data that machine learning systems can analyze provides a usage far beyond the problems that are certainly inherent to generative AI.
Does it? I would not consider LLMs to be AI and it's unfortunate that a marketing gimmick has been turned into a colloquialism to the point where they have stolen the term AI and renamed the original pre-OpenAI concept to "AGI".
Regardless, the point I am making is that the current hype surrounding LLMs is unwarranted.
But here's where I disagree. I think Machine Learning at least has a relatively modest marketing pitch, where you feed it data and based on some training and inputs (yes this is indeed similar to an LLM) and you will get a reasonable estimation of whatever you are seeking as an output, based on historical data. Nobody is running around claiming that my monitoring system that has some ML in it for CPU and temperature and load averages is suddenly going to turn into God like Sam Altman and all these other wackos want to happen with LLMs.
Of course, but I don't think we should discard LLM based AI either. It's a piece of a bigger picture. One of my favorite examples of it being used effectively are neurosymbolic systems where deep neural networks are used to classify noisy input data, and then a symbolic logic system is used to reason about classified data.