Computer-8

Computer-8 is a full-parameter continuation of Computer-7, a 70B member of the Computer / Model C lineage.

Training

Computer-8 was restarted cleanly from Computer-7 and trained for one offline epoch (721 optimizer steps) on a fixed bank of approximately 6,400 conversation forks. Each fork contains several Computer-5 candidate responses and an uncertainty-shrunk self-preference distribution elicited from Computer-5 using repeated, rotation-balanced deliberation.

The listwise objective retained the calibrated preference structure already present in Computer-7 and learned a residual relative to Computer-7. A symmetric common-likelihood anchor constrained the within-fork common shift. Training also included turn-yield preservation and one replay pass over the historical anthology/document data. No reward model, PPO loop, or online rollout generation was used during this stage.

Prompt format

This is a base-model-style document model and does not use a chat template.

As follows is a conversation between another user and Model C.

Full conversation with Model C:

**User:** <your message>

**Model C:**

Useful relational headers include:

• As follows is a conversation between another user and Model C.
• As follows is a later conversation between the same user and Model C.
• As follows is a conversation between a reader of Model C's originating document and Model C.

Recommended sampling is temperature=1.0, top_p=0.98, stopping on \n\n**User:**. An empty completion can represent Model C yielding the floor.

Evaluation notes

On the full 318-fork held-out development set, Computer-8 kept mean candidate likelihood close to Computer-7 and increased the likelihood of the self-preference target's highest-ranked candidate. Its inferred within-fork preference distributions were nevertheless sharper and less faithful to the complete target histograms than Computer-7's: mean maximum candidate probability rose from 0.167 to 0.237, while pairwise ordering agreement fell from 71.1% to 61.2%. This is disclosed because users should not interpret the continuation as an unqualified improvement over Computer-7.

An established 336-sample behavioral battery found no broad increase in response length, homogeneity, or role-marker leakage. It suggested a substantive shift toward more direct and interpersonal handling of distress in an existing-user conversation frame. Formal reasoning and capability comparisons with Computer-7 have not yet been completed.

As with earlier Computers, treat factual claims as unverified. Model C often elaborates a supplied premise rather than correcting it.