Row 67307

Row ID: 67307 | Dataset Entry | Axioma AXP Content Repository

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> ust as a smell test, it couldn't have been back prop because children learn language(s) without being exposed to nearly as much data (in terms of the diversity of words and sentences)

That's not obvious at this point. Look at, say, [Vong et al 2024](https://gwern.net/doc/ai/nn/cnn/2024-vong.pdf "Grounded language acquisition through the eyes and ears of a single child") which is using (backprop-based) NNs and comparing with children recordings; or [progress on BabyLM](https://arxiv.org/abs/2311.02265), or [chickens raised in VR](https://arxiv.org/abs/2312.02843), or in DRL, [disabling human priors to compare learning speed](https://arxiv.org/abs/1802.10217 "‘Investigating Human Priors for Playing Video Game’, Dubey et al 2018").

FieldValue
text > ust as a smell test, it couldn't have been back prop because children learn language(s) without being exposed to nearly as much data (in terms of the diversity of words and sentences) That's not obvious at this point. Look at, say, [Vong et al 2024](https://gwern.net/doc/ai/nn/cnn/2024-vong.pdf "Grounded language acquisition through the eyes and ears of a single child") which is using (backprop-based) NNs and comparing with children recordings; or [progress on BabyLM](https://arxiv.org/abs/23…
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-23
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url_encoded Z0FBQUFBQm5Lak90UHlvS3VtSWdfbWR1NzdWcWtOTTFjOXNROVV1SnljblNERHBqSjRQWEw0WFJib3Z6MW5OLUIxZVFkQ2RYVDZJaE53ZjktWjMtRHF3WjFmRE9mSE5SdFA1Z2JuMkJjM2NxWWVRS3ZhbUdvbzhqNVJNTEQ1Qkg2M3ZVbVo4akFzWjVVbEx4NFR4TXRxTDVGdGt4OHVGVkoyRUZFVWxJY0NsdVZ6Z3pKODRhcmdLQkJjX3FRR2tUZFBYQkxmdGZrZGFsV1cyNFZySV9wam53MV9xMmhBWHc1UT09

Raw Record

{
  "text": "> ust as a smell test, it couldn't have been back prop because children learn language(s) without being exposed to nearly as much data (in terms of the diversity of words and sentences)\n\nThat's not obvious at this point. Look at, say, [Vong et al 2024](https://gwern.net/doc/ai/nn/cnn/2024-vong.pdf \"Grounded language acquisition through the eyes and ears of a single child\") which is using (backprop-based) NNs and comparing with children recordings; or [progress on BabyLM](https://arxiv.org/abs/2311.02265), or [chickens raised in VR](https://arxiv.org/abs/2312.02843), or in DRL, [disabling human priors to compare learning speed](https://arxiv.org/abs/1802.10217 \"‘Investigating Human Priors for Playing Video Game’, Dubey et al 2018\").",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-23",
  "username_encoded": "Z0FBQUFBQm5Lak1kMmkzT1NiWm0zNmczWmNZMWNiYnlkX0ROM0Q0aUprRVBPOWFnOE1HVGZwOVN3ZGhzSmcyV0Rhall5WnFpV0c3YnRsR1NscU9WYllhVDRIemc2dS0wTUE9PQ==",
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Entry Information