Dr. McDonald emphasized that AI is best used as a tool to enhance human abilities, not replace them.
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The complex legal wrangle continues but, in general, I would advise against treating AI products as legally equivalent to human products.
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Smith: “It’s really hard, but I hope you’ll consider what I have to share and stop telling people they should use AI in ministry.”
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Here’s the problem with the use case for LLMs: If you know the answer, you don’t need to ask an LLM; if you don’t know the answer, you can’t trust one.
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The new reality is one where efficiency, not just brute computing power, will dictate the future of artificial intelligence.
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Because LLM AIs never understand a single word, image, video, or line of code, they can’t know whether anything they say is right, true, or good.
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AI can be a helpful tool when used appropriately but, he warns, the current AI boom mirrors past economic bubbles, driven by hype and inflated expectations.
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Identification of statistical patterns in text that Large Language Models (LLMs) do not understand is not going to give us AGI, let alone superintelligence.
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Question: If thoughts can only be copied — and copied badly — by AI, which is quite unlike the brain. then how can they be generated by the brain?
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Recognition is growing that fundamental challenges make LLMs unreliable. Increasingly expensive scaling will likely hasten the popping of the AI bubble.
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A reality check for LLMs is inevitable, and with OpenAI, “Project Strawberry,” and the new hype cycle — thanks to Chollet and others — it’s already here.
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We’ll need an architectural approach that can handle propositions—thoughts, judgments, reasoning structures—as first-order objects.
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True believers don’t focus on short-term trends because they aren’t very positive. But short-term trends should be consistent with a long-term forecast.
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Sewell killed himself at the urging of a speaking and texting chatbot. The next gen is nearly flawless human impersonation video bots. Protect your children.
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Information theorist Dembski thinks that the statistical averages that bots depend on mean they will necessarily regress to the mean and result in mediocrity.
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Not only isn’t there a huge commercial market for digital plagiarism by chatbots, they are attracting huge copyright lawsuits instead.
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As radio host Mark Davis put it recently, “ultimately everything AI does is go in search of something that some human being said or wrote sometime.”
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If AI systems such as ChatGPT cannot engage in conceptual thought, then they can only promote consensus, which is what we see.
Read More ›It continues to astonish us how easily people can be persuaded that LLMs (chatbots) can do our thinking for us
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If human involvement is minimized, this hard limit will probably come up time and again. Computation is not creativity.
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