Row 69572
Content Data
This page contains data entry 69572 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
Information is not free.
Good, valuable information is rare.
If you were in OpenAIs insider circle, you would get rich very quickly from the information they share. They have all the data, all the market trends, all the user information, all knowledge on the models and how to optimise them. Their information is very important and they spent billions to discover it.
It sounds like you want information, so you think it should be free.
If you discovered very valuable information, let’s say you spend 12months in isolation working on a novel project, you wouldn’t want to give your methods out for free, when you could patent it or productionize and sell it for millions, giving you generational wealth. Or would you give it away for free? Academia is the only industry where methods and knowledge is shared for free, and as a result, salaries and pay is much less in this industry because everything is transparent, but at the cost of greater respect and status.
This is a biased argument because you want something others have.
Instead discover valuable information that others want from you, not only will you understand the power of information, but your career will exponentially yield you results. And as a final remark, there is an exception for academia where sharing novel information is seen as good.
| Field | Value |
|---|---|
| text | Information is not free. Good, valuable information is rare. If you were in OpenAIs insider circle, you would get rich very quickly from the information they share. They have all the data, all the market trends, all the user information, all knowledge on the models and how to optimise them. Their information is very important and they spent billions to discover it. It sounds like you want information, so you think it should be free. If you discovered very valuable information, let’s say you… |
| label | r/datascience |
| dataType | comment |
| communityName | r/datascience |
| datetime | 2024-05-23 |
| username_encoded | Z0FBQUFBQm5Lak1lWkJOTG1DR0V6Z2dZcWEtUE8wX3hmRkszS0N3RVdnQldiXzRMbVZqdDVjRjBIdFVoOVhyLTVxOGlEVkFSenNhelJSNnV1LVU4SDZXS01WYkVQSlFZMFE9PQ== |
| url_encoded | Z0FBQUFBQm5Lak92VkFGd05IeUdrMHJQcEtHeG9iT3dZODJPWm9iS0hNU3dvZWw5VFY4SXJpVElYWHZmTFQ5anJ3V3hzU3U1aVRrLWUxR3BhTWV1cmVIQ3NKZlp5anVxTW9mWWtMOGp1ckJQSmtRNWRKcy1HZURrUlRiS29wVGJ4UzVjeC04YS1MaFhOLUVQeW9SbWtlTjJha0YzUGVHSGtFbEotSWJfbTFZakdYZ0lqYlRJTnJMNEdpdVoyYmZJMHlEcVNiVnRLSDgyZzlHSVVVT0JDRy1EVjRsbWV1MFdXdz09 |
Raw Record
{
"text": "Information is not free. \n\nGood, valuable information is rare.\n\nIf you were in OpenAIs insider circle, you would get rich very quickly from the information they share. They have all the data, all the market trends, all the user information, all knowledge on the models and how to optimise them. Their information is very important and they spent billions to discover it.\n\nIt sounds like you want information, so you think it should be free.\n\nIf you discovered very valuable information, let’s say you spend 12months in isolation working on a novel project, you wouldn’t want to give your methods out for free, when you could patent it or productionize and sell it for millions, giving you generational wealth. Or would you give it away for free? Academia is the only industry where methods and knowledge is shared for free, and as a result, salaries and pay is much less in this industry because everything is transparent, but at the cost of greater respect and status.\n\nThis is a biased argument because you want something others have. \n\nInstead discover valuable information that others want from you, not only will you understand the power of information, but your career will exponentially yield you results. And as a final remark, there is an exception for academia where sharing novel information is seen as good.",
"label": "r/datascience",
"dataType": "comment",
"communityName": "r/datascience",
"datetime": "2024-05-23",
"username_encoded": "Z0FBQUFBQm5Lak1lWkJOTG1DR0V6Z2dZcWEtUE8wX3hmRkszS0N3RVdnQldiXzRMbVZqdDVjRjBIdFVoOVhyLTVxOGlEVkFSenNhelJSNnV1LVU4SDZXS01WYkVQSlFZMFE9PQ==",
"url_encoded": "Z0FBQUFBQm5Lak92VkFGd05IeUdrMHJQcEtHeG9iT3dZODJPWm9iS0hNU3dvZWw5VFY4SXJpVElYWHZmTFQ5anJ3V3hzU3U1aVRrLWUxR3BhTWV1cmVIQ3NKZlp5anVxTW9mWWtMOGp1ckJQSmtRNWRKcy1HZURrUlRiS29wVGJ4UzVjeC04YS1MaFhOLUVQeW9SbWtlTjJha0YzUGVHSGtFbEotSWJfbTFZakdYZ0lqYlRJTnJMNEdpdVoyYmZJMHlEcVNiVnRLSDgyZzlHSVVVT0JDRy1EVjRsbWV1MFdXdz09"
}
Entry Information
- Entry ID: 69572
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000