alt Hacker NewsThis is the disconnect between proponents and detractors of AI.
Detractors say it's the process and learning that builds depth.
Proponents say it doesn't matter because the tool exists and will always exist.
It's interesting seeing people argue about AI, because they're plainly not speaking about the same issue and simply talking past each other.
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> It's interesting seeing people argue about AI, because they're plainly not speaking about the same issue and simply talking past each other.
It's important to realize this is actually a general truth of humans arguing. Sometimes people do disagree about the facts on the ground and what is actually true versus what is bullshit, but a lot of the time what really happens is people completely agree on the facts and even most of the implications of the facts but completely disagree on how to frame them. Doesn't even have to be Internet arguments. A lot of hot-button political topics have always been like this, too.
It's easy to dismiss people's arguments as being irrelevant, but I think there's room to say that if you were to interrogate their worldview in detail you might find that they have coherent reasoning behind why it is relevant from their perspective, even if you disagree.
Though it hasn't really improved my ability to argue or even not argue (perhaps more important), I've definitely noticed this in myself when introspecting, and it definitely makes me think more about why I feel driven to argue, what good it is, and how to do it better.
>It's interesting seeing people argue about AI, because they're plainly not speaking about the same issue and simply talking past each other.
There's actually some ground truth facts about AI many people are not knowledgeable about.
Many people believe we understand in totality how LLMs work. The absolute truth of this is that we overall we do NOT understand how LLMs work AT all.
The mistaken belief that we understand LLMs is the driver behind most of the arguments. People think we understand LLMs and that we Understand that the output of LLMs is just stochastic parroting, when the truth is We Do Not understand Why or How an LLM produced a specific response for a specific prompt.
Whether the process of an LLM producing a response resembles anything close to sentience or consciousness, we actually do not know because we aren't even sure about the definitions of those words, Nor do we understand how an LLM works.
This erroneous belief is so pervasive amongst people that I'm positive I'll get extremely confident responses declaring me wrong.
These debates are not the result of people talking past each other. It's because a large segment of people on HN literally are Misinformed about LLMs.
I usually see the opposite.
Detractors from AI often refuse to learn how to use it or argue that it doesn't do everything perfectly so you shouldn't use it.
Proponents say it's the process and learning that builds depth and you have to learn how to use it well before you can have a sensible opinion about it.
The same disconnect was in place for every major piece of technology, from mechanical weaving, to mechanical computing, to motorized carriages, to synthesized music. You can go back and read the articles written about these technologies and they're nearly identical to what the AI detractors have been saying.
One side always says you're giving away important skills and the new technology produces inferior work. They try to frame it in moral terms. But at heart the objections are about the fear of one's skills becoming economically obsolete.