https://unitedstatesofamericasuperintelligence.com/companies/scale-ai/ Dated, sourced news items in the USASI catalog that mention Scale AI. Independent project. Not a United States government website. en-us Tue, 13 Oct 2026 12:00:00 GMT https://unitedstatesofamericasuperintelligence.com/news/scale-ai-releases-distressbench/ https://unitedstatesofamericasuperintelligence.com/news/scale-ai-releases-distressbench/ Tue, 13 Oct 2026 12:00:00 GMT research Scale AI has published DistressBench, a benchmark of whether a language model can sustain safe, useful support across a crisis conversation; the accompanying paper was posted on arXiv on October 8, 2026. The paper argues that safety benchmarks scoring models mainly on refusal do not capture the support needed in suicide and self-harm crises, and describes 718 English conversations with clinician-authored turns across 23 suicide and self-harm subcategories, each with a task-specific rubric and a clinician reference response. Scale AI's gated Hugging Face dataset publishes 359 of the tasks under the CC BY 4.0 license, withholds the other half as a private holdout, and places full long-horizon transcripts, including the assistant turns, in a separate annex released for safety research. https://unitedstatesofamericasuperintelligence.com/news/cais-and-scale-ai-release-hle-diamond/ https://unitedstatesofamericasuperintelligence.com/news/cais-and-scale-ai-release-hle-diamond/ Tue, 13 Oct 2026 12:00:00 GMT release On September 22, 2026, the Center for AI Safety and Scale AI released HLE-Diamond, which the release notes describe as a refined subset of the Humanity's Last Exam (HLE) question collection, produced through a year-long process of cleaning and refinement with input from research communities. HLE-Diamond has 1,000 questions, split evenly into 500 reasoning and 500 knowledge questions, and is designed to be answered closed-book, with separate recommended settings for evaluations that use tools. The dataset is on Hugging Face as cais/hle-diamond, where the card lists an MIT license, requires agreeing to share contact information before access, and asks that the dataset not be publicly shared or re-uploaded.