Provenance record

Towards safety cases for frontier AI training

OpenAI (tier 1, lab) 2026-09-28T19:00:00.000Z Original ↗

Source note: Primary statements from a frontier lab. Self-interested by construction.

Discourse valence

Mixed or uncertain

confidence 60% · 1 item

-100

-50

+50

+100

Adverse readingFavourable reading

Single-model reading. This item did not meet the threshold for a multi-model panel.

Existential and catastrophic risk Loss of control and alignment Scaling and architecture

Excerpt as ingested

Our early guidelines for safety cases in frontier AI training cover technical safeguards, operational practices, and investigating misalignment incidents

Every model that read this

Model	Provider	Stage	Score	Conf.	Latency	Prompt	When
Llama 3.3 70B	Meta	analysis	0	60%	2837ms	v1.0.0 / m1.0.1	2026-09-29 09:17

Llama 3.3 70B · reading

Guidelines for safety cases may improve AI safety.

evidence: speculative horizon: n/a

Evidence extracted

OpenAI develops guidelines for safety cases in frontier AI training

The chain

SOURCE     OpenAI (tier 1)
   ↓
DOCUMENT   405b7303-0c40-4db9-b394-ac7e88cf9688
           https://openai.com/index/towards-safety-cases-for-frontier-ai-training
   ↓
EVIDENCE   1 extracted excerpt
   ↓
MODEL RUN  1 run, methodology 1.0.1
   ↓
SCORE      0  (Mixed or uncertain)
   ↓
CONFIDENCE 60%