Row 4377

Row ID: 4377 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 4377 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

Naturally I don't know precisely what their training strategy was, but they most likely trained it on human games at first to guide the parameters in the right direction, otherwise they would have to waste a huge amount of time waiting for the model to start playing sensible moves. In chess, it's a lot easier to set up the model to start playing somewhat sensible moves immediately, so there's no real need to train it on human games at first. It's unlikely that the human-sourced portion of AlphaGo's dataset would be responsible for a blind spot like that. Such an exploit is just part and parcel with such a complex model playing such a complex game.

FieldValue
text Naturally I don't know precisely what their training strategy was, but they most likely trained it on human games at first to guide the parameters in the right direction, otherwise they would have to waste a huge amount of time waiting for the model to start playing sensible moves. In chess, it's a lot easier to set up the model to start playing somewhat sensible moves immediately, so there's no real need to train it on human games at first. It's unlikely that the human-sourced portion of AlphaG…
label r/neuralnetworks
dataType comment
communityName r/neuralnetworks
datetime 2024-04-09
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url_encoded Z0FBQUFBQm5Lak9GMUZPOWplQnBfc0c4dkE5Nlp3bV9PVk80R3YyOWlUckVadEdNM2VJU2xJZnJWS2puSHRrZkZsSEVac2NHLURIU3lBRG9OWXA5Sjlob181MFU0REJOSjJ6akZqMjFqWXRwcGxJMVhISW1lSjFNZDNVakk1TXFqanBaV3B1T1NXd0pJbE8yQi03ejRYb21RaWJXR0x1QmhnRVZ5a29iamZJbndJd1laa3BsVVhPS2NhcExFaTJhbnZRNzVRcHB4ZmVDY3dYSUJQV0ozMjg4andJZE5IVzR6eGMwSnFnNTJaQ0xteE1Hei16R003OD0=

Raw Record

{
  "text": "Naturally I don't know precisely what their training strategy was, but they most likely trained it on human games at first to guide the parameters in the right direction, otherwise they would have to waste a huge amount of time waiting for the model to start playing sensible moves. In chess, it's a lot easier to set up the model to start playing somewhat sensible moves immediately, so there's no real need to train it on human games at first. It's unlikely that the human-sourced portion of AlphaGo's dataset would be responsible for a blind spot like that. Such an exploit is just part and parcel with such a complex model playing such a complex game.",
  "label": "r/neuralnetworks",
  "dataType": "comment",
  "communityName": "r/neuralnetworks",
  "datetime": "2024-04-09",
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Entry Information