Risk Reporting for Developers' Internal AI Model Use
Frontier AI companies first deploy their most advanced models internally, for weeks or months of safety testing, evaluation, and iteration, before a possible public release. For example, Anthropic recently developed a new class of model with advanced cyberoffense-relevant capabilities, Mythos Preview, which was available internally for at least six weeks before it was publicly announced. This internal use creates risks that external deployment frameworks may fail to address. Legal frameworks, notably California's Transparency in Frontier Artificial Intelligence Act (SB 53), New York's Responsible AI Safety And Education (RAISE) Act, and the EU's General-Purpose AI Code of Practice, all di...
| Authors | Oscar Delaney, Sambhav Maheshwari, Joe O'Brien et al. |
|---|---|
| Primary category | cs.CY |
| Published | 27 April 2026 |
| Last updated at source | 27 April 2026 |
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