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Two sources of beyond-episode goals (Section 2.2.2 of "Scheming AIs")

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Manage episode 386304331 series 3402048
Indhold leveret af Joe Carlsmith. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Joe Carlsmith eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
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Kapitler

1. Two sources of beyond-episode goals (Section 2.2.2 of "Scheming AIs") (00:00:00)

2. 2.2.2 Two sources of beyond-episode goals (00:00:28)

3. 2.2.2.1 Training-game-independent beyond-episode goals (00:01:32)

4. 2.2.2.1.1 Are beyond-episode goals the default? (00:03:26)

5. 2.2.2.1.2 How will models think about time? (00:05:02)

6. 2.2.2.1.3 The role of “reflection” (00:08:09)

7. 2.2.2.1.4 Pushing back on beyond-episode goals using adversarial training (00:10:56)

8. 2.2.2.2 Training-game-dependent beyond-episode goals (00:12:45)

9. 2.2.2.2.1 Can gradient descent “notice” the benefits of turning a non-schemer into a schemer? (00:14:47)

10. 2.2.2.2.2 Is SGD pulling scheming out of models by any means necessary? (00:18:51)

57 episoder

Artwork
iconDel
 
Manage episode 386304331 series 3402048
Indhold leveret af Joe Carlsmith. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Joe Carlsmith eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
  continue reading

Kapitler

1. Two sources of beyond-episode goals (Section 2.2.2 of "Scheming AIs") (00:00:00)

2. 2.2.2 Two sources of beyond-episode goals (00:00:28)

3. 2.2.2.1 Training-game-independent beyond-episode goals (00:01:32)

4. 2.2.2.1.1 Are beyond-episode goals the default? (00:03:26)

5. 2.2.2.1.2 How will models think about time? (00:05:02)

6. 2.2.2.1.3 The role of “reflection” (00:08:09)

7. 2.2.2.1.4 Pushing back on beyond-episode goals using adversarial training (00:10:56)

8. 2.2.2.2 Training-game-dependent beyond-episode goals (00:12:45)

9. 2.2.2.2.1 Can gradient descent “notice” the benefits of turning a non-schemer into a schemer? (00:14:47)

10. 2.2.2.2.2 Is SGD pulling scheming out of models by any means necessary? (00:18:51)

57 episoder

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