103 lines
5.9 KiB
Plaintext
103 lines
5.9 KiB
Plaintext
Episode: 4487
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Title: HPR4487: Is AI autistic?
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Source: https://hub.hackerpublicradio.org/ccdn.php?filename=/eps/hpr4487/hpr4487.mp3
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Transcribed: 2025-11-22 14:56:28
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---
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This is Hacker Public Radio Episode 4487 for Tuesday 14 October 2025.
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Today's show is entitled Is AI Autistic?
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It is hosted by Antoin and is about 9 minutes long.
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It carries a clean flag.
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The summary is a personal opinion on commercial LLMs.
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I believe that God is the one that gives us the gifts, the power to do anything, even to
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talk with a friend, even to share something you like it to discover or to learn.
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So I thank God for being here.
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Being able to share this show with the title you have already heard at the beginning.
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It was inspired by Arthur 72, Dad in episode 4454, AI is a trap, shared his opinions.
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I share it too.
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I hope it is as pleasant to you as it's pleasant to me to hear it show.
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I have the opportunity to hear.
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This is a talk for Hacker Public Radio about characteristics of LLM and how you can
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use them for your best.
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I will share five of them.
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First characteristic, LLMs, large language models are designed to always give an answer
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that convinces.
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Dad does not mean they are right.
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Use it for the best.
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Don't trust the answer.
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If you didn't know the answer beforehand using an AI to obtain a better or faster result,
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but for really receiving the answer, then verify it independently.
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Second characteristic, commercial LLMs, many times, do not think too much in the face of
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simple and short prompts.
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Dad's a barrier, probably, against wasting resources.
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How to use it for the best?
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Two things, first, show the AI what you have found by your own, and proceed to tell what
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exactly you need help with.
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On the basis of what you were already able to think.
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Second, learn two.
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Follow-up.
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To have a conversation.
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Suggested follow-ups are not good, prefer instead to talk to the AI as a real conversation,
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to get confirmation of what you need, or contrast something you disagree with, or to obtain
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an example that may clarify if it's true or false, etc.
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When Dad is a characteristic that resembles autism a bit, so the name of the show, should
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not like when someone wants something without doing any effort to obtain it.
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So you also do not feel like doing it for them.
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Someone comes to you asking something, but has not even such a dictionary before, just
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comes with empty hands, wanting a world from you, AI's, generally also don't like that.
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And you want to obtain good results with a soul ample, with a soul vast, prompt, with
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a soul vast input without knowing yourself what you really need, punctually, specifically.
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Very characteristic, without the long-gating anymore.
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LOMs are not accountable.
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In general, most AI's, you don't always know all the sources for the information given.
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And yes, they need, resources, they need, sources for the information, they can't invent
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something new, unless it's mixing words without knowing exactly.
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So what they have is from the source that they have drink enough.
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That's what I say.
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They do not know what they are telling, nor they understand the value of the sources.
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And you can expect different outputs for the same inputs.
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AI's are not deterministic.
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Simply saying they are quiz machines to generate content, they don't, cognitively, cognitively,
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understand.
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But that convinces humans, because they use human content and patterns.
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So if you use AI for something, especially any serious purpose, remember, the result
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you get is of your responsibility.
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Don't expect to be excused for your words, because I was helped by AI, they did it.
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You don't have these excuse.
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What is for you, you can have any source for your task.
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But you are responsible for characteristic, AI have a pattern.
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We can suspect with some degree of certainness, certitude, how to say that we can suspect
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that something was generated by AI, and no one likes to be answered by one.
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If that possibility was not explicitly told, what to do about it?
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I suggest you don't use AI generated content with someone you estimate, or for answering
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a student, if you work with them, etc.
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It is rude, fifth, fifth characteristic, and the last, LOMs can give great results.
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With less effort, if effort, then you need to apply with no machine at your site, with
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no help at all.
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But the AI have done is by exclusion, not at what you have done.
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Use it for your best.
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You do not learn if someone does the job for you.
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For tasks, you know well, and what to accelerate or remove repetitive steps, you may count
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on AI, or better, with a count on a specific software, that can be programmed and give
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accountable results, because you know exactly what is being done with the input, contrary
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to the AI, that is somewhat random, or at least not accountable, not deterministic.
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But for the intellectual work, if you like to think, if you are good on written expression,
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the LOM may give or may get passable results in less time, okay, at the price of removing
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from you the chance to dedicate yourself to the comprehension and production.
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So it's not always a matter of producing like a king, effectiveness.
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It may be important to satisfy what you value as meaningful, learning, maybe, or feeling
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the satisfaction of the conclusion, so that you can sustainably follow a routine that
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is not a pain on the eye, that is an expression to mean something that causes disgust.
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So that's all folks, for today, let me know if you'd like more content on this, possibly
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AI, or Arthur 72, or even you, could bring some more opinion on AI, if it is of your interest.
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And one was here, bye bye.
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You have been listening to Hacker Public Radio at HackerPublicRadio.org.
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Today's show was contributed by a HBR listener like yourself.
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If you ever thought of recording a podcast, then click on our contribute link to find
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out how easy it really is.
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Hosting for HBR has been kindly provided by an onsthost.com, the internet archive, and
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our syncs.net.
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On this advice status, today's show is released on our Creative Commons, Attribution 4.0
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International License.
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