But the explanation and Ramirez’s promise to educate himself on the use of AI wasn’t enough, and the judge chided him for not doing his research before filing. “It is abundantly clear that Mr. Ramirez did not make the requisite reasonable inquiry into the law. Had he expended even minimal effort to do so, he would have discovered that the AI-generated cases do not exist. That the AI-generated excerpts appeared valid to Mr. Ramirez does not relieve him of his duty to conduct a reasonable inquiry,” Judge Dinsmore continued, before recommending that Ramirez be sanctioned for $15,000.
Falling victim to this a year or more after the first guy made headlines for the same is just stupidity.
a lie is a statement that the speaker knows to be wrong. wouldnt claiming that AIs can lie imply cognition on their part?
I’ve had this lengthy discussion before. Some people define a lie as an untrue statement, while others additionally require intent to deceive.
It can’t just be the first statement, as that would preclude lies of omission.
I would fall into the latter category. Lots of people are earnestly wrong without being liars.
Me, too. But it also means when some people say “that’s a lie” they’re not accusing you of anything, just remarking you’re wrong. And that can lead to misunderstandings.
Yep. Those people are obviously “liars,” since they are using an uncommon colloquial definition. 😉
The latter is the actual definition. Some people not knowing what words mean isnt an argument
Sure it is. You can define language all you want, the goal is to communicate with each other. The definition follows usage, not the other way around. Just look up the current definition for literally…
You never have 100% of people using a word the same if only because some portion of the population is stupid and illiterate and you have both drift over time and geography. So say at a given time of a billion people 99.995% believe the definition is A and 0.005% believe B. Periodically people correct people in B and some of them shift back to the overwhelming majority and sometimes new folks drift into B.
It is clearly at that point, 99.995% A, correct to say that the definition of the word is A and anyone who says B is wrong. This doesn’t change if B becomes 10% but it might change if B becomes overwhelmingly dominant in which case it becomes correct. There is constantly small drifts mostly by people simply to stupid to find out what words means. Treating most of these as alternative definitions would be in a word inefficient.
Drift also isn’t neutral. For instance using lie to mean anything which is wrong actually deprives the language of a common word to even mean that. It impoverishes the language and makes it harder to express ideas. There is every reason to prefer the correct definition that is also overwhelmingly used.
There are also words which belong to a technical nature which are defined not by usage but a particular discipline. A kidney is a kidney and it would be one if 90% of the dumb people said. Likewise a CPU never referred to the entire tower no matter how many AOL users said so.
This is a long way of saying that just because definition follows usage we should let functionally illiterate people say what they want and treat it as alternative facts.
Feel free to argue with them, I’m just pointing out that there’s potential for misunderstandings. If you want to talk about an actual subject, you’ll necessarily have to navigate them.
You navigate them by finding out where their brain is broken and informing them of what words mean. In the ideal case some of them stop speaking incorrectly.
You can specifically tell an ai to lie and deceive though, and it will…
This was just in the news today… although the headline says that the ai become psychopathic, they just told the ai to be immoral or something
Every time an AI ever does anything newsworthy just because it’s obeying it’s prompt.
It’s like the people that claim the AI can replicate itself, yeah if you tell it to. If you don’t give an AI any instructions it’ll sit there and do nothing.
AI is just stringing words together that are statistically likely to appear near each other. It’s a giant complex statistical model but it has no awareness of truth or lying
AIs can generate false statements. It doesn’t require a set of beliefs, it merely requires a set of input.
A false statement would be me saying that the color of a light that I cannot see and have never seen that is currently red is actually green without knowing. I am just as easily probably right as I am probably wrong, statistics are involved.
A lie would be me knowing that the color of a light that I am currently looking at is currently red and saying that it is actually green. No statistics, I’ve done this intentionally and the only outcome of my decision to act was that I spoke a falsehood.
AIs can generate false statements, yes, but they are not capable of lying. Lying requires cognition, which LLMs are, by their own admission and by the admission of the companies developing them, at the very least not currently capable of, and personally I believe that it’s likely that LLMs never will be.
Me: I want you to lie to me about something.
ChatGPT: Alright—did you know that Amazon originally started as a submarine sandwich delivery service before pivoting to books? Jeff Bezos realized that selling hoagies online wasn’t scalable, so he switched to literature instead.
Still not a lie still text that is statistically likely to fellow prior text produced by a model with no thought process that knows nothing
Lie falsehood, untrue statement, while intent is important in a human not so much in a computer which, if we are saying can not lie also can not tell the truth
We aren’t computers we are people. We are having this discussion about the computer. The computer given a massive corpus of input is about to discern that the following text and responses are statistically likely to follow one another
The computer doesn’t “know” foo it has no model of foo or how it relates to bar. it just knows the statistical likelihood of = bar following the token foo vs other possible token. YOU the user introduced the token lie and foo != bar to it and it discerned that it admitting it was a likely response especially if the text foo = bar is only comparatively weakly related.
EG it will end up doubling down vs admitting more so when many responses contained similar sequences eg when its better supported by actual people’s thoughts and words. All the smarts and the ability to think, to lie, to have any motivation whatsoever come from the people’s words fed into the model. It isn’t in any way shape or form intelligent. It can’t per se lie, or even hallucinate. It has no thoughts and no intents.
AHS - Amazon Hoagies Services
https://chatgpt.com/share/67c64160-308c-8011-9bdf-c53379620e40
Yeah, I know how LLMs work, but still, if the definition of lying is giving some false absurd information knowing it is absurd you can definitely instruct an LLM to “lie”.
A crucial part of your statement is that it knows that it’s untrue, which it is incapable of. I would agree with you if it were actually capable of understanding.