Row 87408
Content Data
This page contains data entry 87408 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
I’ve been testing this over and over to make sure I’m not crazy, and even uploading grouped bodies of text to AI for blind analysis. I’m still not entirely convinced to be honest, but past this point I’d say I need human feedback.
I figured the multimodal training affects its interpretation of text, especially since in voice chat you wouldn’t want to hear the word “cutie” in Cove’s deep voice (as it was in the OpenAI ad showcasing live video). They might have made the text to be more consistent with the speaking voice.
Makes sense that Juniper uses a lot of exclamation marks and makes bad metaphors while Cove is more straight forward and to the point.
| Field | Value |
|---|---|
| text | I’ve been testing this over and over to make sure I’m not crazy, and even uploading grouped bodies of text to AI for blind analysis. I’m still not entirely convinced to be honest, but past this point I’d say I need human feedback. I figured the multimodal training affects its interpretation of text, especially since in voice chat you wouldn’t want to hear the word “cutie” in Cove’s deep voice (as it was in the OpenAI ad showcasing live video). They might have made the text to be more consistent… |
| label | r/openai |
| dataType | post |
| communityName | r/OpenAI |
| datetime | 2024-05-24 |
| username_encoded | Z0FBQUFBQm5Lak1wVWxNN0lHRHhZS1QxUUZkcFdxdzhUNXdoNW5yUzlPTWEzSTBNUS1YTmEtNmkxdFVwNldPclFNWnhTZjNjWVRHdldBaFBhYktySGNpMk51UDRhdkpKMEE9PQ== |
| url_encoded | Z0FBQUFBQm5Lak83c252Y0tYb1Vfanl5bEwydjdlQ0hCQVNadExfcXlHU2hrLXZSR0UwR3p5bXluYkszYTE1djlnWTlGMlpaZWprU2hxTHFYbnRrYXM1YUpDZnRFWmVTMWMtamRfREtyOEFnbm5hVDJ4VnBGTW9SS0luSGtSMTFvU2VPVU9IVnc0VE0wVk5nM216N1FTVExvOFlfdXEyVzlGWTEtU3p3alg5ZmpwT3pGOXVrbzlpdHpHUWpJRENNb1BBaFpCQy1FckZVMHFiMDhLakxwQXllRWNZVjE5M1hSUT09 |
Raw Record
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"text": "I’ve been testing this over and over to make sure I’m not crazy, and even uploading grouped bodies of text to AI for blind analysis. I’m still not entirely convinced to be honest, but past this point I’d say I need human feedback.\n\nI figured the multimodal training affects its interpretation of text, especially since in voice chat you wouldn’t want to hear the word “cutie” in Cove’s deep voice (as it was in the OpenAI ad showcasing live video). They might have made the text to be more consistent with the speaking voice.\n\nMakes sense that Juniper uses a lot of exclamation marks and makes bad metaphors while Cove is more straight forward and to the point.",
"label": "r/openai",
"dataType": "post",
"communityName": "r/OpenAI",
"datetime": "2024-05-24",
"username_encoded": "Z0FBQUFBQm5Lak1wVWxNN0lHRHhZS1QxUUZkcFdxdzhUNXdoNW5yUzlPTWEzSTBNUS1YTmEtNmkxdFVwNldPclFNWnhTZjNjWVRHdldBaFBhYktySGNpMk51UDRhdkpKMEE9PQ==",
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}
Entry Information
- Entry ID: 87408
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000