Row 98581

Row ID: 98581 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 98581 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

90% of the time it's a or b. If I am asking about health, and it cites some bs from healthychicks.com that sounds wrong, and then I go to healhline, webmd, NHS, or mayoclinic and the cited information isn't anywhere on those websites it's still misinformation/wrong that I disregard - I don't every time actually go to healthychicks to see if that's what they're actually saying to have plenty of examples for you, but I do have one that happened yesterday because for once Google cited the correct source. "Are J2 eligible for work authorisation premium processing", AI overview confidently answers "Yes" with details on how to file for that, when in fact if you go the source the answer is "no" and there's nowhere any mention of J2, only F1.

Another kind of example for b is answering a different question than was asked, e.g. if you search for "reasons for rejection of American tourist visa in Turkey" it will give you reasons why your Turkish visa was rejected, if you replace "Turkey" with "Greece" - it will be reasons for why American visa was rejected. Idk, what's up with that inconsistency, since in both cases, the Visa Denials page on the US department of state will be the first search result so Google search actually works better at understanding your query intent but that doesn't translate to the AI overview somehow.

FieldValue
text 90% of the time it's a or b. If I am asking about health, and it cites some bs from healthychicks.com that sounds wrong, and then I go to healhline, webmd, NHS, or mayoclinic and the cited information isn't anywhere on those websites it's still misinformation/wrong that I disregard - I don't every time actually go to healthychicks to see if that's what they're actually saying to have plenty of examples for you, but I do have one that happened yesterday because for once Google cited the correct s…
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-25
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url_encoded Z0FBQUFBQm5LalBDcjdSUTF3VmRNTFlYa2N4VlFaVk9HVUxJMVNCUWdvczFWWjRzRHBpSnc5TmRXSDktaGJjclJVTFR6OWpveGx1S3FKVGZCTHdnYkxLMk1kUnd3Y2VsV1RWbDRWckp5UXlubVZEQlFhelcxeW9kRDNuQmxlMEhQbWpEbzg3OEhQVkk5d0JSaUpWWU9VcHNGSkVNLUpwRXNZRlI5M1NlQTNqZkU2QmVaY1JhejBGdTgzSmpZSnZpOG5GQ19DMlJSY3l2SlVLREh0SDloQVZNazZJaWF2MU5VOXJTVEZmaHRHSVVBVDZKMjhUbk9kWT0=

Raw Record

{
  "text": "90% of the time it's a or b. If I am asking about health, and it cites some bs from healthychicks.com that sounds wrong, and then I go to healhline, webmd, NHS, or mayoclinic and the cited information isn't anywhere on those websites it's still misinformation/wrong that I disregard - I don't every time actually go to healthychicks to see if that's what they're actually saying to have plenty of examples for you, but I do have one that happened yesterday because for once Google cited the correct source. \"Are J2 eligible for work authorisation premium processing\", AI overview confidently answers \"Yes\" with details on how to file for that, when in fact if you go the source the answer is \"no\" and there's nowhere any mention of J2, only F1.\n\nAnother kind of example for b is answering a different question than was asked, e.g. if you search for \"reasons for rejection of American tourist visa in Turkey\" it will give you reasons why your Turkish visa was rejected, if you replace \"Turkey\" with \"Greece\" - it will be reasons for why American visa was rejected. Idk, what's up with that inconsistency, since in both cases, the Visa Denials page on the US department of state will be the first search result so Google search actually works better at understanding your query intent but that doesn't translate to the AI overview somehow.",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-25",
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}
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