Row 31011
Content Data
This page contains data entry 31011 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
Ok if you admit that it could be a hallucination then that is good because you are being more reasonable than I may have thought.
The thing about the consistency is, I have seen obscure prompts give very consistent responses for a while too. I don't think this is particularly meaningful. Also in my experience, obscure corners of the latent space where there isn't much training data can get pretty weird responses. There are definitely some edge-case areas of the latent space where funny stuff has happened because of poor extrapolation of sparse training data.
I actually do think they have much stronger models internally, just not to AGI level. In particular I think Google has some AlphaGo style models (tree search) that are better than they have shown and could beat LLMs.
| Field | Value |
|---|---|
| text | Ok if you admit that it could be a hallucination then that is good because you are being more reasonable than I may have thought. The thing about the consistency is, I have seen obscure prompts give very consistent responses for a while too. I don't think this is particularly meaningful. Also in my experience, obscure corners of the latent space where there isn't much training data can get pretty weird responses. There are definitely some edge-case areas of the latent space where funny stuff h… |
| label | r/openai |
| dataType | comment |
| communityName | r/OpenAI |
| datetime | 2024-05-21 |
| username_encoded | Z0FBQUFBQm5Lak1HNlZGWmtGTlh4T3B1bFh3S3RJSGFyemYtazVnMW5yVUk0NVZadWNnZXM4U09VTkF4S1NyOG90aGJ5N2NIQ1lENEUzb21NZWxxYWNWaUphQm50YVRZaWZ4NkVSbE9ZZVFyNzJlM01OS1l6RFk9 |
| url_encoded | Z0FBQUFBQm5Lak9WUFFEdzRNZkNHRldlY0NFc09pMmE3SHNESUE3V1pFNDM5UFVwd0xORTEzbnZTMkY0SDNBVW9nNTVCcWJRQjlQcF9mSFowelA0bEZNdE0yRmFMSkhFdER1ZG9JNXYwR0lfbGJYMklGOUNtMTN5Y2ktSWZkaXdfTUpial9Gdlo2c3dIX0dzS3p1LWsxUnl2Rk5YRHB2RGw3SVFXTklMcXo3RWNsTVRqSXRQQ3AyUkdkVHVKSVN4RHlDN0xLMGdybGNhYkYzbEg3SHVmX1poUnh3d2tpczVOZz09 |
Raw Record
{
"text": "Ok if you admit that it could be a hallucination then that is good because you are being more reasonable than I may have thought.\n\n\nThe thing about the consistency is, I have seen obscure prompts give very consistent responses for a while too. I don't think this is particularly meaningful. Also in my experience, obscure corners of the latent space where there isn't much training data can get pretty weird responses. There are definitely some edge-case areas of the latent space where funny stuff has happened because of poor extrapolation of sparse training data.\n\n\nI actually do think they have much stronger models internally, just not to AGI level. In particular I think Google has some AlphaGo style models (tree search) that are better than they have shown and could beat LLMs.",
"label": "r/openai",
"dataType": "comment",
"communityName": "r/OpenAI",
"datetime": "2024-05-21",
"username_encoded": "Z0FBQUFBQm5Lak1HNlZGWmtGTlh4T3B1bFh3S3RJSGFyemYtazVnMW5yVUk0NVZadWNnZXM4U09VTkF4S1NyOG90aGJ5N2NIQ1lENEUzb21NZWxxYWNWaUphQm50YVRZaWZ4NkVSbE9ZZVFyNzJlM01OS1l6RFk9",
"url_encoded": "Z0FBQUFBQm5Lak9WUFFEdzRNZkNHRldlY0NFc09pMmE3SHNESUE3V1pFNDM5UFVwd0xORTEzbnZTMkY0SDNBVW9nNTVCcWJRQjlQcF9mSFowelA0bEZNdE0yRmFMSkhFdER1ZG9JNXYwR0lfbGJYMklGOUNtMTN5Y2ktSWZkaXdfTUpial9Gdlo2c3dIX0dzS3p1LWsxUnl2Rk5YRHB2RGw3SVFXTklMcXo3RWNsTVRqSXRQQ3AyUkdkVHVKSVN4RHlDN0xLMGdybGNhYkYzbEg3SHVmX1poUnh3d2tpczVOZz09"
}
Entry Information
- Entry ID: 31011
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000