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Judge decides case based on AI-hallucinated case law
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<blockquote data-quote="jian" data-source="post: 9712040" data-attributes="member: 78087"><p>Basic medical note - it’s reasonably common for chickenpox spots to become secondarily infected with bacteria, and it’s uncommon (but deadly serious) to get chickenpox-associated pneumonia which would benefit from being treated with antibiotics (certainly in the absence of decent antivirals in the 1970s and before, say) and so under certain circumstances, even now, it’s reasonable to give antibiotics for chickenpox. It all depends on the clinical presentation.</p><p></p><p>And this is a basic point about the use of machine learning, especially LLMs, in diagnosis of illnesses. Your best tool as a doctor is pattern recognition intuition based on experience of verbal and nonverbal cues and information. A system that just manipulates words has absolutely no idea what a patient or a condition is and will make errors and misjudgements that are unpredictable because by definition it doesn’t have all the information and it never can. At best, it can support experienced clinicians to make judgments. So far it’s worse than useless for patients.</p></blockquote><p></p>
[QUOTE="jian, post: 9712040, member: 78087"] Basic medical note - it’s reasonably common for chickenpox spots to become secondarily infected with bacteria, and it’s uncommon (but deadly serious) to get chickenpox-associated pneumonia which would benefit from being treated with antibiotics (certainly in the absence of decent antivirals in the 1970s and before, say) and so under certain circumstances, even now, it’s reasonable to give antibiotics for chickenpox. It all depends on the clinical presentation. And this is a basic point about the use of machine learning, especially LLMs, in diagnosis of illnesses. Your best tool as a doctor is pattern recognition intuition based on experience of verbal and nonverbal cues and information. A system that just manipulates words has absolutely no idea what a patient or a condition is and will make errors and misjudgements that are unpredictable because by definition it doesn’t have all the information and it never can. At best, it can support experienced clinicians to make judgments. So far it’s worse than useless for patients. [/QUOTE]
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