Row 92748
Content Data
This page contains data entry 92748 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
> If these companies accepted LLMs for what they are (personal writing assistants and little more)
That’s not really true either, they’re useful for more than that.
The tricky thing is that they often *are* quite good at information synthesis. They can answer ungoogleable questions like [“can a pair of scissors cut through a boeing 747? or a palm leaf? or freedom?”](https://chatgpt.com/share/f182b495-7ae4-4c2d-b9b9-9626cb7337ea)
But when they fail, they fail in the worst possible way by giving plausibly-wrong answers.
| Field | Value |
|---|---|
| text | > If these companies accepted LLMs for what they are (personal writing assistants and little more) That’s not really true either, they’re useful for more than that. The tricky thing is that they often *are* quite good at information synthesis. They can answer ungoogleable questions like [“can a pair of scissors cut through a boeing 747? or a palm leaf? or freedom?”](https://chatgpt.com/share/f182b495-7ae4-4c2d-b9b9-9626cb7337ea) But when they fail, they fail in the worst possible way by givi… |
| label | r/machinelearning |
| dataType | comment |
| communityName | r/MachineLearning |
| datetime | 2024-05-25 |
| username_encoded | Z0FBQUFBQm5Lak1zNnF0dGR3ZTJxZXNiVFd0bEc4SldLa0Z5ZFZfbnU0YVFMSGRNMElLNDJZZ3B2c2JKV2g2VHI2a2tlLWlka0Z0NmtDbU01ckVLejVfNDdkWm5NMFM5RHFDOE5BVkpaUkZMRUJXbXB4eFFEWDA9 |
| url_encoded | Z0FBQUFBQm5Lak8tUkhWRWdFelVORTR4eUdWWjllN0tadUpUd25CZVZMMWcwZ1BnMFFseXF1OHJ5bGFqWWRJSF9LUC1YM2N6Y1Y0M2xWMXBDVlFxWjRtclhjRlNsUy1GVjVzeWhCMWt0RXhSZWpPVndoZWhLN0d1MkRkUXJ1XzdYWDJkODJJM3NJMXFidmZpM0VwcjRGN0YxVkhlUWpheWZMSWR5Q1YxYjUxLVVxUHpHbEF1ZVlITndpcktDZDBHbnJFOFpVaGpSNVBkRGhrVGU1UXJJSXRyUkx5S2xBUWdjSDlneGdZVXIxcXJZMFUzTkdaOTl0az0= |
Raw Record
{
"text": "> If these companies accepted LLMs for what they are (personal writing assistants and little more)\n\nThat’s not really true either, they’re useful for more than that. \n\nThe tricky thing is that they often *are* quite good at information synthesis. They can answer ungoogleable questions like [“can a pair of scissors cut through a boeing 747? or a palm leaf? or freedom?”](https://chatgpt.com/share/f182b495-7ae4-4c2d-b9b9-9626cb7337ea)\n\nBut when they fail, they fail in the worst possible way by giving plausibly-wrong answers.",
"label": "r/machinelearning",
"dataType": "comment",
"communityName": "r/MachineLearning",
"datetime": "2024-05-25",
"username_encoded": "Z0FBQUFBQm5Lak1zNnF0dGR3ZTJxZXNiVFd0bEc4SldLa0Z5ZFZfbnU0YVFMSGRNMElLNDJZZ3B2c2JKV2g2VHI2a2tlLWlka0Z0NmtDbU01ckVLejVfNDdkWm5NMFM5RHFDOE5BVkpaUkZMRUJXbXB4eFFEWDA9",
"url_encoded": "Z0FBQUFBQm5Lak8tUkhWRWdFelVORTR4eUdWWjllN0tadUpUd25CZVZMMWcwZ1BnMFFseXF1OHJ5bGFqWWRJSF9LUC1YM2N6Y1Y0M2xWMXBDVlFxWjRtclhjRlNsUy1GVjVzeWhCMWt0RXhSZWpPVndoZWhLN0d1MkRkUXJ1XzdYWDJkODJJM3NJMXFidmZpM0VwcjRGN0YxVkhlUWpheWZMSWR5Q1YxYjUxLVVxUHpHbEF1ZVlITndpcktDZDBHbnJFOFpVaGpSNVBkRGhrVGU1UXJJSXRyUkx5S2xBUWdjSDlneGdZVXIxcXJZMFUzTkdaOTl0az0="
}
Entry Information
- Entry ID: 92748
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000