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ASIRF proposes adapting sensitive-data redaction to context without retraining the model

ASIRF proposes adapting sensitive-data redaction to context without retraining the model

A preprint describes a system that retrieves domain-specific definitions of sensitive information at inference time. Its initial results favor its detection recall over a reference classifier in most tested combinations, although the information available does not make it possible to assess all error types or its readiness for real-world use.

OpenAI schedules the retirement of the Sora API for September 24, 2026: what teams should review

OpenAI schedules the retirement of the Sora API for September 24, 2026: what teams should review

OpenAI documentation sets a retirement date for the Videos API and the Sora 2 and Sora 2 Pro models, and does not list a replacement. Teams can start by inventorying their dependencies and backing up assets they have already downloaded; the available sources do not clarify what will happen to jobs and metadata after shutdown.

Voxtral TTS: what a team should validate before replacing a synthetic voice in production

Voxtral TTS: what a team should validate before replacing a synthetic voice in production

Mistral AI documents Voxtral TTS as a speech-generation service with streaming and several output formats. Before replacing a provider or model in calls, notifications, or published content, a team should verify not only audible quality, but also technical, operational, and data-contract compatibility through a regression suite using its own scripts.