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Safety#Protein Screening🔬 ResearchAnalyzed: Jan 10, 2026 09:36

SafeBench-Seq: A CPU-Based Approach for Protein Hazard Screening

Published:Dec 19, 2025 12:51
1 min read
ArXiv

Analysis

This research introduces a CPU-only baseline for protein hazard screening, a significant contribution to accessibility for researchers. The focus on physicochemical features and cluster-aware confidence intervals adds depth to the methodology.
Reference

“SafeBench-Seq is a homology-clustered, CPU-Only baseline.”

PermalinkArXiv
Research#llm🔬 ResearchAnalyzed: Jan 4, 2026 10:22

OmniSafeBench-MM: A Unified Benchmark and Toolbox for Multimodal Jailbreak Attack-Defense Evaluation

Published:Dec 6, 2025 22:56
1 min read
ArXiv

Analysis

This article introduces a new benchmark and toolbox, OmniSafeBench-MM, designed for evaluating multimodal jailbreak attacks and defenses. This is a significant contribution to the field of AI safety, as it provides a standardized way to assess the robustness of multimodal models against malicious prompts. The focus on multimodal models is particularly important given the increasing prevalence of these models in various applications. The development of such a benchmark will likely accelerate research in this area and lead to more secure and reliable AI systems.
Reference

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PermalinkArXiv
Research#llm📝 BlogAnalyzed: Jan 3, 2026 07:51

AI Safety Newsletter #53: An Open Letter Attempts to Block OpenAI Restructuring

Published:Apr 29, 2025 15:11
1 min read
Center for AI Safety

Analysis

The article reports on an AI safety newsletter, specifically issue #53. The main focus appears to be an open letter related to OpenAI's restructuring, suggesting concerns about the safety implications of the changes. The inclusion of "SafeBench Winners" indicates a secondary focus on AI safety benchmarks and their results.
Reference

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PermalinkCenter for AI Safety