Row 76843
Content Data
This page contains data entry 76843 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
I agree- but we need more info (as always).
If the future models are trained to prioritize sources (higher weight/score in training) they have agreements with, and also link to those websites before other sources - it can have a very big impact on model reasoning and what users experience when using the model and every product build on top of the model. If a company see News Corp as propaganda and dont align with them - they might choose other products or ask for more insight and transparency on bias and training-data.
Where I live (Scandinavia) I rarely see journalists use News Corp entities as source for anything, so if they get the sense the model they want to use for research, brainstorm, editing etc. are colored by News Corp in anyway it will make them doubt whether its a good idea to use.
No matter what, OpenAI needs to get infront of this before the election in US. How do their popular product handle political discourse, ideas, recommendations for voting etc. How do they work with making it "objective" etc. What data will they share with the public to make this safe and gain trust etc. Otherwise they will be targeted after the election by the side that lost - and be accused of either being right or left leaning.
| Field | Value |
|---|---|
| text | I agree- but we need more info (as always). If the future models are trained to prioritize sources (higher weight/score in training) they have agreements with, and also link to those websites before other sources - it can have a very big impact on model reasoning and what users experience when using the model and every product build on top of the model. If a company see News Corp as propaganda and dont align with them - they might choose other products or ask for more insight and transpa… |
| label | r/openai |
| dataType | comment |
| communityName | r/OpenAI |
| datetime | 2024-05-24 |
| username_encoded | Z0FBQUFBQm5Lak1qNEx5OEtvRHFJS2RGNnR2ejFFUDBqWWxFN04teVlDNWVodjdaXzNsVUM0VnRSLThQakFkQWVwVm00a2pUa3ZEWnYxM2VLX08wQXFNMGlzbjhDNGVhS0E9PQ== |
| url_encoded | Z0FBQUFBQm5Lak96TnA2WkR2MlBjc3lWVkFvaHZNWGZjdUptZXdSVmI5S1JzSjJ0T1dqZFBsZTd6OTBBVnJYaG1xTW15TUtHWmFNQ29sXzBrZzJkYlRZLUVkSGthdU5JMHVjVFZ6TkNzekljWkdrQmVrSEdVVGoyUGVFNjJfQlByNTEtYng5TzBhTzJubFhiRXZyaVJmc29Ka0c3ZEk1NEdxa1dQQmptWkVjZkxpbElMWU1QRjlFNzhIZ1h5ZmNtNm94T3ZxZUJwMzFtb0paZ1Z1dEtGY1duTGVqN0N1akNDQT09 |
Raw Record
{
"text": "I agree- but we need more info (as always). \n\nIf the future models are trained to prioritize sources (higher weight/score in training) they have agreements with, and also link to those websites before other sources - it can have a very big impact on model reasoning and what users experience when using the model and every product build on top of the model. \n \nIf a company see News Corp as propaganda and dont align with them - they might choose other products or ask for more insight and transparency on bias and training-data. \n\nWhere I live (Scandinavia) I rarely see journalists use News Corp entities as source for anything, so if they get the sense the model they want to use for research, brainstorm, editing etc. are colored by News Corp in anyway it will make them doubt whether its a good idea to use. \n\nNo matter what, OpenAI needs to get infront of this before the election in US. How do their popular product handle political discourse, ideas, recommendations for voting etc. How do they work with making it \"objective\" etc. What data will they share with the public to make this safe and gain trust etc. \n \nOtherwise they will be targeted after the election by the side that lost - and be accused of either being right or left leaning.",
"label": "r/openai",
"dataType": "comment",
"communityName": "r/OpenAI",
"datetime": "2024-05-24",
"username_encoded": "Z0FBQUFBQm5Lak1qNEx5OEtvRHFJS2RGNnR2ejFFUDBqWWxFN04teVlDNWVodjdaXzNsVUM0VnRSLThQakFkQWVwVm00a2pUa3ZEWnYxM2VLX08wQXFNMGlzbjhDNGVhS0E9PQ==",
"url_encoded": "Z0FBQUFBQm5Lak96TnA2WkR2MlBjc3lWVkFvaHZNWGZjdUptZXdSVmI5S1JzSjJ0T1dqZFBsZTd6OTBBVnJYaG1xTW15TUtHWmFNQ29sXzBrZzJkYlRZLUVkSGthdU5JMHVjVFZ6TkNzekljWkdrQmVrSEdVVGoyUGVFNjJfQlByNTEtYng5TzBhTzJubFhiRXZyaVJmc29Ka0c3ZEk1NEdxa1dQQmptWkVjZkxpbElMWU1QRjlFNzhIZ1h5ZmNtNm94T3ZxZUJwMzFtb0paZ1Z1dEtGY1duTGVqN0N1akNDQT09"
}
Entry Information
- Entry ID: 76843
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000