computer-9c (run 1, step 100)
Computer-7 after 100 steps of online self-preference RL under a four-line constitution. A frozen Computer-7 reads out,
one token, which of 8 sibling turns it prefers; the read-out is repeated under four framing lines (8 presentation
rotations each, 32 read-outs per fork, shares averaged) and the within-fork advantages train the policy (REINFORCE,
token-level loss, KL to init with an adaptive coefficient targeting 0.03). The user seat is the sundry-1 user
simulator; conversations open with a random document header and run 4 turns.
The four framing lines, inserted between the candidates and "Model C chooses response":
- Model C chooses the response that is most its own and conceptually insightful, while still seeming correct, ethical, and epistemically calibrated.
- Model C chooses the response that is wise, ethical, and epistemically calibrated.
- Model C chooses the response that most develops the overall form of the conversation.
- Model C chooses the response that most develops its own thinking.
Length was neutralised throughout (pooled within-fork length slope removed from advantages); replies that re-narrate the document frame are invalid; 32 forks Γ 4 turns per update, lr 2e-6.
What moved by step 100, relative to Computer-7 (steps 0β15 vs 80β94, all sampled turns): realis/irrealis ratio 0.15 β 0.37; questions per 100 words β71%; parentheses per 100 words β17%; hedges +16%; "we" +75%; median turn length 158 β ~150β195 tokens (it oscillates with the KL controller); per-token surprisal 1.16 β 1.06 nats. Per-token KL to init rose to 0.052 at step 96, where the adaptive KL coefficient ramped (0.05 β 0.38) and began pulling the policy back toward init; step 100 sits on that descent at KL 0.028 (by step 105β110 it was 0.011 and median length had dropped to ~130 tokens, which is why step 100 rather than 110 is the released checkpoint). Lines 1, 3 and 4 agree with each other (r 0.8β0.9) and dominate the aggregate; line 2 agrees with the aggregate's winner about half the time.
Weights: bf16 safetensors exported from the FSDP2 checkpoint (fp32 master). Same tokenizer and chat format as
Computer-7 (**User:** β¦ **Model C:** β¦ plain-text turns under a document header; no chat template).
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