Row 40677

Row ID: 40677 | Dataset Entry | Axioma AXP Content Repository

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Realistically speaking when do they hit the tipping point when it comes to "size of supa computa" vs "actually useful computations per $ spent"? I'd imagine there is a limit to the amount of useful parallel computed training examples as well as the speed of light itself, when it comes to a spatially huge system.

FieldValue
text Realistically speaking when do they hit the tipping point when it comes to "size of supa computa" vs "actually useful computations per $ spent"? I'd imagine there is a limit to the amount of useful parallel computed training examples as well as the speed of light itself, when it comes to a spatially huge system.
label r/chatgpt
dataType comment
communityName r/ChatGPT
datetime 2024-05-22
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Raw Record

{
  "text": "Realistically speaking when do they hit the tipping point when it comes to \"size of supa computa\" vs \"actually useful computations per $ spent\"? I'd imagine there is a limit to the amount of useful parallel computed training examples as well as the speed of light itself, when it comes to a spatially huge system.",
  "label": "r/chatgpt",
  "dataType": "comment",
  "communityName": "r/ChatGPT",
  "datetime": "2024-05-22",
  "username_encoded": "Z0FBQUFBQm5Lak1NMVJqYUJ3UXJ5bXhUd0NZUVlwQmVQTFdSTTU2b1p6RTl3SzlBemo3NllXdENjSTFlMmZ3UFdJU1BHc1c0NzdZc05RTGtDSGVJSnRaWUxzS1NBazhHQUE9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9idGpxVDJfb0JOSUNNLU5xZUFaSVFpdWM2R0doN3NwMWxnZDVFaG8zeHphSFN2V2k0TEhzV1dETnRiTTJOOHlMLWhUdmJzd1poRXM5TW1VYkxUSmNWOXhZNDJHSlNsUzdYX25VcWtiVjNkdVEyQklpTXdZX3NSUkpXTmFYQ2o0Wm04dzk4LVB2RkN3aDRYODNFM3B0NzhrZ1N2Z0FmVnZwNnJ3UDBUbF9ldGI0aFoyUVhKaVlBZlk1MGRnMzhXLU9jVGlXMm4wN21OeVQ2dmRkTEdwT0VqZz09"
}
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