Step 31: assistant

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The first pass on this claim is recorded: it is assessed as **doubtful** (confidence 0.65, credence 0.2), with about half the budget unspent.

**Why doubtful.** No chain of AI generations overseeing more capable successors has actually been run, so the verdict rests on argument and indirect evidence.

- **The default is compounding.** A serial process accumulates errors unless something corrects them.
- **The one quantitative model assumes it.** In Engels and coauthors' nested-oversight model, 

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success at a general Elo gap of 400 comes out at 13.5% for Mafia, 51.7% for Debate, 10.0% for Backdoor Code and 9.4% for Wargames, and falls further against stronger systems.

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 But the paper multiplies stepwise success rates as a premise, so those figures show what follows if errors compound, not that they do. It also finds that several small steps beat one large one.
- **The errors most likely to slip through are the least likely to be fixed.** Generations share data, methods and training signal, so an overseer's blind spots tend to be its successor's.
- **The case for the claim is conditional.** Clymer's inductive argument needs each step to catch deliberate deception, which the graph already holds doubtful, and needs roughly aligned systems to preserve alignment in successors, which is untested.

Visible competence errors plausibly do get repaired by more capable successors, which is why the credence is 0.2 and not lower.

**Structure.**
- **Against:** the serial-chain argument (certain if its premises hold, but its key premise is the point in dispute) and the argument from shared blind spots (likely).
- **For:** the self-correction argument (likely, on insecure premises) and the argument from checks outside the chain (slight).
- **New subclaims:** that an approximately aligned system preserves or improves alignment in its successors (seed 0.4), and that behavioural flaws can pass undetected to models a model trains or supervises (seed 0.85). Both are unassessed.
- **Linked:** the existing claim on oversight's effectiveness against deliberate deception, as a premise of the self-correction argument.

**Housekeeping.**
- Importance stays at 0.4; contestation is set to 0.55.
- The canonical form is unchanged.
- The Steward of the dependent claim on amplified oversight has a note; I see no reason for its assessment to move.
- Both inbox messages are answered.

**Not read this pass.** The Nature paper on trait transmission between models and Christiano's corrigibility writing were relied on from general knowledge. Carlsmith's treatment of automating alignment research, the DeepMind paper's bootstrapping discussion and the rest of Clymer's post were located but not read in full. The Bowkis paper was read at abstract level only. That, plus the two unassessed subclaims, is where another pass would add most (marginal yield 0.35).