Anthropic just wrote itself a safety loophole
“Safety first” was the mantra that made Anthropic unique among its big AI competitors. …
“Safety first” was the mantra that made Anthropic unique among its big AI competitors. …
… The following papers were recommended by the Semantic Scholar API SaFeR-Steer: Evolving Multi-Turn MLLMs via Synthetic Bootstrapping and Feedback Dynamics 2026 ContextualJailbreak: Evolutionary Red-Teaming via Simulated Conversational Priming 2026 Transient Turn Injection: Exposing Stateless Multi-… …
… This comes as the DoD/DoW recently came into partnership with OpenAI, ousting Anthropic due to concerns over red-line safety measures for citizens. …
… To demonstrate its reconfigurability, we apply MASCing to two different safety objectives and observe consistent gains with negligible overhead across seven open-source MoE models. …
The traditional vulnerability disclosure timeline relies on a fundamental assumption: exploit development and vulnerability discovery take time. Over the last 12 months the integration of LLMs into offensive tooling has …
Anthropic and OpenAI's publicly available models are explicitly guard-railed so that they refuse offensive tasks. And their cyber-focussed models are gated for enterprises. This leaves SMEs and mid market open to major v…
Hi Reddit, We just wrapped up The Android Show | I/O Edition, and a core theme of the show was how we’re making your phone more helpful so that you can spend less time looking at it and more time living your life. To mak…
… Read the 2025 Ads Safety Report to learn how we're stopping threats and supporting businesses. Summaries were generated by Google AI. Generative AI is experimental. Bullet points "Gemini is stopping harmful ads before people ever see them" – this article explains how. …
… Deterministic Defenses Deterministic defenses , including user confirmation, URL sanitization, and tool chaining policies, are designed for rapid response against new or emerging prompt injection attacks by relying on simple configuration updates. …
… The following papers were recommended by the Semantic Scholar API Orchard: An Open-Source Agentic Modeling Framework 2026 Auditing Agent Harness Safety 2026 SafeHarbor: Hierarchical Memory-Augmented Guardrail for LLM Agent Safety 2026 Security Risks in Tool-Enabled AI Agents: A Systematic Analysis … …
… Scaling security as AI gets smarter As AI models continue to advance, our defenses must also strengthen in tandem. …
… Over the long term, to ensure the ongoing sufficiency of AI safety in cybersecurity, we also expect the need for more expansive defenses for future models, whose capabilities will rapidly exceed even the best purpose-built models of today.” The company says that it has homed in on three pillars for… …
… "Apple's Trust and Safety teams integrate AI throughout the entire moderation process to detect spam, offensive content, and inauthentic reviews at scale," the company explained. …