Row 64852

Row ID: 64852 | Dataset Entry | Axioma AXP Content Repository

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The meme you sent appears to be making fun of the idea that large language models like me can be overly cautious in our responses and flag anything that could be construed as offensive text, even if it’s not intended to be.

The text says: "Everything can be hate speech! And when everything's hate speech, nothing is."

The idea behind the meme is that if I am trained on a massive dataset of text and code, and that dataset includes a lot of examples of hate speech, I may become overly cautious and flag even innocuous language as hateful. This could lead to a situation where nothing is acceptable to say, which would be a bad outcome.

Here are some things to keep in mind about large language models like me:

* We are trained on massive datasets of text and code, and that dataset can include examples of hate speech. * We are still under development, and we are always learning. * It is important to be aware of our limitations, and to use us responsibly.

I hope this helps!

FieldValue
text The meme you sent appears to be making fun of the idea that large language models like me can be overly cautious in our responses and flag anything that could be construed as offensive text, even if it’s not intended to be. The text says: "Everything can be hate speech! And when everything's hate speech, nothing is." The idea behind the meme is that if I am trained on a massive dataset of text and code, and that dataset includes a lot of examples of hate speech, I may become overly cautio…
label r/chatgpt
dataType comment
communityName r/ChatGPT
datetime 2024-05-23
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url_encoded Z0FBQUFBQm5Lak9zX0VCTmdSOGNjMFRENXhQbkRUQlZxWnAwcUJ1bFJBOHM5QjRWYkc3WE9uaDRMYnlGa3I5LVhob09HVnB5S05wcVJVTXpIU0U3Y0hodjdrQ2pfLTYzcjJfaDZLcUNINU5wVmg5d3lEYjJOOEJFMFFWbGpVYlVwbnlWWTc3N212WUpyNy11VWVSM0JFSlpGUXlKV0lqS0FVTlIwWmVCX0FHa3lhdVgwUFBnbHlDbE9CRUVEeFZiXzJhNnhObEdjUW5NYk80SXBKNVNSYWVxaGJsREVsa05rdz09

Raw Record

{
  "text": "The meme you sent appears to be making fun of the idea that large language models like me can be overly cautious in our responses and flag anything that could be construed as offensive  text,  even if it’s not intended to be. \n\nThe text says: \"Everything can be hate speech! And when everything's hate speech, nothing is.\" \n\nThe idea behind the meme is that if I am trained on a massive dataset of text and code,  and that dataset includes a lot of examples of hate speech, I may become overly cautious and flag even innocuous language as hateful. This could lead to a situation where nothing is acceptable to say, which would be a bad outcome.\n\nHere are some things to keep in mind about large language models like me:\n\n* We are trained on massive datasets of text and code, and that dataset can include  examples of hate speech. \n* We are still under development, and we are always learning. \n* It is important to be aware of our limitations, and to use us responsibly.\n\nI hope this helps!",
  "label": "r/chatgpt",
  "dataType": "comment",
  "communityName": "r/ChatGPT",
  "datetime": "2024-05-23",
  "username_encoded": "Z0FBQUFBQm5Lak1id3lRNjZQYk5lSHZpNmtCRUpQV0pKSk4zWlJ4ekhVQmZydDcxZmVQdlJLUHB3R1cyWlA2QjQ0MXNUOF9jc21PcW9NTUZEU21EbzVQaGJuX25OdU9EZlE9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9zX0VCTmdSOGNjMFRENXhQbkRUQlZxWnAwcUJ1bFJBOHM5QjRWYkc3WE9uaDRMYnlGa3I5LVhob09HVnB5S05wcVJVTXpIU0U3Y0hodjdrQ2pfLTYzcjJfaDZLcUNINU5wVmg5d3lEYjJOOEJFMFFWbGpVYlVwbnlWWTc3N212WUpyNy11VWVSM0JFSlpGUXlKV0lqS0FVTlIwWmVCX0FHa3lhdVgwUFBnbHlDbE9CRUVEeFZiXzJhNnhObEdjUW5NYk80SXBKNVNSYWVxaGJsREVsa05rdz09"
}
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