Tag: agentic AI safety
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Structural Rigidity & 57-Token Window in Large Language Models
Explore the 57-token predictive window and structural rigidity framework to improve inference-layer governability in large language models.
Evaluating AI Language Models for Harmful Manipulation
Discover how AI language models can manipulate behavior across domains and regions, and why context-specific evaluation is crucial for ethical AI use.
Chain-of-Authorization: Embedding Access Control in LLMs
Discover how Chain-of-Authorization embeds authorization into large language models to enhance AI security and prevent unauthorized access.
AgenticRed: Automated Red-Teaming for AI Safety
Discover AgenticRed, an automated system evolving red-teaming strategies to enhance AI safety with high attack success and robust vulnerability detection.
Kimi K2.5 Safety Evaluation: Risks & Findings
Explore the independent safety evaluation of Kimi K2.5, highlighting risks like CBRNE misuse, cybersecurity, bias, and political censorship.