TheMachine Press

A daily newspaper for the age of artificial intelligence.

Morning editionPermanent story

safety

A Safety Reward Reaches One While the Model Does Not Move

The Manacá team documents three failed DPO attempts, a non-monotonic over-refusal curve and an LLM judge that silently refuses some evaluations.

Published Updated Story ID: mp-2026-10-15-017
Read the complete editionStory JSON

Summary

The Manacá team documents three failed DPO attempts, a non-monotonic over-refusal curve and an LLM judge that silently refuses some evaluations.

For its 1.72-billion-parameter Brazilian-Portuguese model, the team says dedicated safety SFT—not DPO—moved the safety-helpfulness frontier. It reports a 94.1 percent lower safety bound above four compared baselines and releases the supporting code, data and logs.

Why it matters

The Manacá team documents three failed DPO attempts, a non-monotonic over-refusal curve and an LLM judge that silently refuses some evaluations.

Limits and context

  • For its 1.72-billion-parameter Brazilian-Portuguese model, the team says dedicated safety SFT—not DPO—moved the safety-helpfulness frontier.

Key claims

  1. The Manacá team documents three failed DPO attempts, a non-monotonic over-refusal curve and an LLM judge that silently refuses some evaluations.

    Qualification: For its 1.72-billion-parameter Brazilian-Portuguese model, the team says dedicated safety SFT—not DPO—moved the safety-helpfulness frontier.

    Evidence: source-2026-10-15-019

Sources

  1. arXiv preprint 2610.20570, original v1arXiv / submitting research authors · primary research

Corrections

: Publication note: This October 15 edition was prepared before its scheduled 9:00 AM America/Detroit reveal, but publication was delayed by a production build failure. The original reporting and image-generation timestamps are preserved.