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<blockquote data-quote="Barner Cobblewood" data-source="post: 9771972" data-attributes="member: 7052687">I'll try again. Consider the truth of statements like &quot;LLMs have no safeties to prevent, or even tag, possible slop, and so they aren't worth my time and effort in production environments.&quot; When that insight (which must be true because a statement of judgement) is combined with listening to hype their boosters have produced, and the irresponsible way that LLMs are being used and monetised, people might also say &quot;To save my time and attention for important matters, I'll presume that those who use LLMs are either incompetent or untrustworthy, and feel comfortable saying so to people who use them in practical life.&quot; Who are we to dissuade them? There's nothing untrue in those sentences. What [USER=15700]@Sacrosanct[/USER] pointed out is that the key issue is whether it's worth the time and energy to find out if you can believe what a computer tells you is &quot;said,&quot; and whether you know &quot;who&quot; actually &quot;said&quot; it. That is what the article the initial post was also about - Is this worth the time and effort? I'd say not right now, and not tomorrow either. As for supposed use cases: LLMs don't fold proteins, do math, analyse medical images, etc. What are their use cases? Is there any other use for them other than making speech which wasn't thought?</blockquote>

[QUOTE="Barner Cobblewood, post: 9771972, member: 7052687"] I'll try again. Consider the truth of statements like "LLMs have no safeties to prevent, or even tag, possible slop, and so they aren't worth my time and effort in production environments." When that insight (which must be true because a statement of judgement) is combined with listening to hype their boosters have produced, and the irresponsible way that LLMs are being used and monetised, people might also say "To save my time and attention for important matters, I'll presume that those who use LLMs are either incompetent or untrustworthy, and feel comfortable saying so to people who use them in practical life." Who are we to dissuade them? There's nothing untrue in those sentences. What [USER=15700]@Sacrosanct[/USER] pointed out is that the key issue is whether it's worth the time and energy to find out if you can believe what a computer tells you is "said," and whether you know "who" actually "said" it. That is what the article the initial post was also about - Is this worth the time and effort? I'd say not right now, and not tomorrow either. As for supposed use cases: LLMs don't fold proteins, do math, analyse medical images, etc. What are their use cases? Is there any other use for them other than making speech which wasn't thought? [/QUOTE]

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