Row 3656

Row ID: 3656 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 3656 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

The article delves into how GPT-J, when asked to explain the "average of all concepts" it knows, reveals a peculiar tendency towards generating descriptions that are both vague and unexpectedly specific, with many relating to human sexuality and anatomy. This indicates a form of bias or a peculiar emphasis within the AI's dataset or learning process, pointing towards a deeper, possibly unintended, stratification of knowledge within the model. This unexpected focus offers a glimpse into the complexities and potential biases embedded in the training of AI models​

FieldValue
text The article delves into how GPT-J, when asked to explain the "average of all concepts" it knows, reveals a peculiar tendency towards generating descriptions that are both vague and unexpectedly specific, with many relating to human sexuality and anatomy. This indicates a form of bias or a peculiar emphasis within the AI's dataset or learning process, pointing towards a deeper, possibly unintended, stratification of knowledge within the model. This unexpected focus offers a glimpse into the compl…
label r/gpt
dataType comment
communityName r/GPT
datetime 2024-03-18
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url_encoded Z0FBQUFBQm5Lak9FeUpIdUJVYXdfbXN6YWtnWjQtLXNfQ3ZncUhKUXl4WlZlM3ZPNGFaNlZJRlQ1QVQxQ1NfQjVkeXpNeVd1YzduNzRYNEc2NzM0ZHNfeHoyVl93R0NTSGs5NXQyM3pMTldGekRHQlc0Vkw0SXdzWnZsRGlvNFU0WE5YMkIzdmVTUnRwY1B3Yndsak9oM2oydzhnay1VVVFYdGF0OVJpVzM5eVZpZHg2Ym16X1BZdXRROHNTdFFWUGJrUC1yQW1KN3FISm5Fbi1tVFlDTUdiYUtZTnFYQnRqZz09

Raw Record

{
  "text": "The article delves into how GPT-J, when asked to explain the \"average of all concepts\" it knows, reveals a peculiar tendency towards generating descriptions that are both vague and unexpectedly specific, with many relating to human sexuality and anatomy. This indicates a form of bias or a peculiar emphasis within the AI's dataset or learning process, pointing towards a deeper, possibly unintended, stratification of knowledge within the model. This unexpected focus offers a glimpse into the complexities and potential biases embedded in the training of AI models​",
  "label": "r/gpt",
  "dataType": "comment",
  "communityName": "r/GPT",
  "datetime": "2024-03-18",
  "username_encoded": "Z0FBQUFBQm5LakwxQ1o3ZVg4Vk9RWmVsSk1ETDNwWXlLUDZSc1pMZXJselRqVTl6V3cwV2dNMkU1MUFoNm9DZ1k4TzRBbGd6M2ZWdzdSTUZCal9vbFVxV2tVX0ZJRjI0Rjc3clBxbVVkS09JNXVqSGxIQUdZek09",
  "url_encoded": "Z0FBQUFBQm5Lak9FeUpIdUJVYXdfbXN6YWtnWjQtLXNfQ3ZncUhKUXl4WlZlM3ZPNGFaNlZJRlQ1QVQxQ1NfQjVkeXpNeVd1YzduNzRYNEc2NzM0ZHNfeHoyVl93R0NTSGs5NXQyM3pMTldGekRHQlc0Vkw0SXdzWnZsRGlvNFU0WE5YMkIzdmVTUnRwY1B3Yndsak9oM2oydzhnay1VVVFYdGF0OVJpVzM5eVZpZHg2Ym16X1BZdXRROHNTdFFWUGJrUC1yQW1KN3FISm5Fbi1tVFlDTUdiYUtZTnFYQnRqZz09"
}
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