The Agentic Intelligence Report
BREAKING
From Atomic Actions to Standard Operating Procedures: Iterative Tool Optimization for Self-Evolving LLM Agents (arXiv cs.AI)•Reason Less, Verify More: Deterministic Gates Recover a Silent Policy-Violation Failure Mode in Tool-Using LLM Agents (arXiv cs.AI)•Data for Agents (Hugging Face Blog)•Create a LangChain Deep Agents Harness Profile for NVIDIA Nemotron 3 Ultra to Improve Performance (NVIDIA Developer Blog)•Google Deepmind adds background execution and MCP support to Gemini API managed agents (The Decoder AI)•Prime Intellect raises $130M Series A to help enterprises build their own AI agents (TechCrunch AI)•An off switch for dual use knowledge in AI models - Anthropic (Anthropic News)•Modular Pretraining Enables Access Control - Alignment Science Blog (Anthropic News)•Separating signal from noise in coding evaluations (OpenAI Blog)•Helping K–12 educators build practical AI skills (OpenAI Blog)•From Atomic Actions to Standard Operating Procedures: Iterative Tool Optimization for Self-Evolving LLM Agents (arXiv cs.AI)•Reason Less, Verify More: Deterministic Gates Recover a Silent Policy-Violation Failure Mode in Tool-Using LLM Agents (arXiv cs.AI)•Data for Agents (Hugging Face Blog)•Create a LangChain Deep Agents Harness Profile for NVIDIA Nemotron 3 Ultra to Improve Performance (NVIDIA Developer Blog)•Google Deepmind adds background execution and MCP support to Gemini API managed agents (The Decoder AI)•Prime Intellect raises $130M Series A to help enterprises build their own AI agents (TechCrunch AI)•An off switch for dual use knowledge in AI models - Anthropic (Anthropic News)•Modular Pretraining Enables Access Control - Alignment Science Blog (Anthropic News)•Separating signal from noise in coding evaluations (OpenAI Blog)•Helping K–12 educators build practical AI skills (OpenAI Blog)
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