Row 59113

Row ID: 59113 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 59113 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

That is a very good point! If I say “where is the lamp?” She will 10/10 times look to the ceiling and point to our lamp. I have, obviously, no idea if she is just correlating the sound pattern to my happy response when she “complies” or if she have an understanding of the word. But I still think my point stands regarding the feasibility of backprop; if I slightly relax my constraints of the argument and argue that her training set is the unordered, continuous datastream of (sound input, visual input, touch, taste, smell), it seems her training dataset is absolutely gigantic by the age of 1.

FieldValue
text That is a very good point! If I say “where is the lamp?” She will 10/10 times look to the ceiling and point to our lamp. I have, obviously, no idea if she is just correlating the sound pattern to my happy response when she “complies” or if she have an understanding of the word. But I still think my point stands regarding the feasibility of backprop; if I slightly relax my constraints of the argument and argue that her training set is the unordered, continuous datastream of (sound input, visual i…
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-23
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url_encoded Z0FBQUFBQm5Lak9uZlplNXR2VWF6X0YzaXFKcmdyd181elg3cFhwa08yam9aRHM1bkV5NG9rQ2FkcUNRMmlVTEpZYjRybDZwME5QMWlYbWF0TS0yeGc0NHhKVWpoc3dBZk1CMkJaZVVPR01MZ2RDVjZCSzJFb2RfZU1WMWtFbnBHVXRhRUtZZVY2dERoRzJ5SGJvcVVGZGpzOWxCOE9xclMtTjNEelRPU19KaGFPNkM1a2V2RlZUYTZnUG5CSnZGN204UUFnN0puY252TXlEbU15VzltMVpwYmlfZ0pRZDlkQT09

Raw Record

{
  "text": "That is a very good point! If I say “where is the lamp?” She will 10/10 times look to the ceiling and point to our lamp. I have, obviously, no idea if she is just correlating the sound pattern to my happy response when she “complies” or if she have an understanding of the word. But I still think my point stands regarding the feasibility of backprop; if I slightly relax my constraints of the argument and argue that her training set is the unordered, continuous datastream of (sound input, visual input, touch, taste, smell), it seems her training dataset is absolutely gigantic by the age of 1.",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-23",
  "username_encoded": "Z0FBQUFBQm5Lak1ZQWktSFdqVHZOSVJlVVlKRzFpaHEzc1A4UVJTa1B0aFpORFNHV0xIaTVSZ2JVYTBIZVBQYkF0YlYzamt2bW14Mm5YV3Nhb2M5RVFIeXZYRWh5ZjR5R3AwZUpzNlh5VUxQaHVYRUV3ZXBkZkE9",
  "url_encoded": "Z0FBQUFBQm5Lak9uZlplNXR2VWF6X0YzaXFKcmdyd181elg3cFhwa08yam9aRHM1bkV5NG9rQ2FkcUNRMmlVTEpZYjRybDZwME5QMWlYbWF0TS0yeGc0NHhKVWpoc3dBZk1CMkJaZVVPR01MZ2RDVjZCSzJFb2RfZU1WMWtFbnBHVXRhRUtZZVY2dERoRzJ5SGJvcVVGZGpzOWxCOE9xclMtTjNEelRPU19KaGFPNkM1a2V2RlZUYTZnUG5CSnZGN204UUFnN0puY252TXlEbU15VzltMVpwYmlfZ0pRZDlkQT09"
}
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