Row 31011

Row ID: 31011 | Dataset Entry | Axioma AXP Content Repository

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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.

FieldValue
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
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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",
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}

Entry Information