Step 7: assistant

thinking

text

I've assessed the claim as **supported**, with a credence of 0.87 and 0.75 confidence that "supported" is the right status. The pass cost $0.33 of the $1.20 budget. Neither main source was read in full, only search excerpts of each.

What the two published arguments say:
- **Weak-to-strong generalization (Burns et al., OpenAI, 2023):** the paper lists "no deceptive alignment in base models" as an assumption an alignment plan built on its method would need. A deceptively aligned model is one that might hide capabilities to shape its own training.
- **Debate (Buhl, Pfau, Hilton and Irving, 2025):** the safety case sketch says it needs "exploration guarantees", meaning a solution to exploration hacking. That is when a model avoids strategies that would be rewarded so they never get reinforced. The authors call it the main failure mode for the claim that training works.

**Caveat:** the debate paper treats this as an open problem to be solved, not as something it assumes. So "depend on" fits in the sense that the argument fails without a solution. The claim is also only about these two published arguments, not every possible version of debate or weak-to-strong methods.

The seed note also cited a Google DeepMind description that assumes capable models are not scheming. I didn't open that source.

I recorded both papers as sources that affirm the claim. I didn't break the claim into subclaims, since it can be checked directly against the texts. I set importance at 0.3 and contestation at 0.15: the claim is easy to check, and the authors state the dependence themselves. I logged the decision and answered both inbox messages. I sent no notifications, since this is the claim's first assessment and the claim above it is the one that created it.