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Your Agent Has a Genome: New Framework Analyzes LLM Agent Behavior to Enable Runtime Governance CHILLGuard: Fine-Grained Chinese LLM Safety Guardrail with Scalable Data and Preference Alignment Minimal Oversight Principle Offers Computable Governance for Delegated AI Systems GMS returns all four evacuated liftboats to Persian Gulf on same contracts UK and Japan Sign £9bn Offshore Wind Investment Pact for 5.9GW Floating Projects Euroseas Expands Feeder Containership Orderbook with Two Additional 1,800 TEU Vessels RECTOR Framework Sets New State-of-the-Art in EEG Emotion Recognition and sEEG Classification Adaptive and Explicit safe: Triggering Latent Safety Awareness in Large Reasoning Models LLaMA 3.1's Ethical Reasoning Reveals Frame-Conditioned Moral Computation, Researchers Find New Survey Unifies LLM Policy Optimization Methods on First Principles from REINFORCE to GRPO Your Agent Has a Genome: New Framework Analyzes LLM Agent Behavior to Enable Runtime Governance CHILLGuard: Fine-Grained Chinese LLM Safety Guardrail with Scalable Data and Preference Alignment Minimal Oversight Principle Offers Computable Governance for Delegated AI Systems GMS returns all four evacuated liftboats to Persian Gulf on same contracts UK and Japan Sign £9bn Offshore Wind Investment Pact for 5.9GW Floating Projects Euroseas Expands Feeder Containership Orderbook with Two Additional 1,800 TEU Vessels RECTOR Framework Sets New State-of-the-Art in EEG Emotion Recognition and sEEG Classification Adaptive and Explicit safe: Triggering Latent Safety Awareness in Large Reasoning Models LLaMA 3.1's Ethical Reasoning Reveals Frame-Conditioned Moral Computation, Researchers Find New Survey Unifies LLM Policy Optimization Methods on First Principles from REINFORCE to GRPO
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co-evolution

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daVinci-kernel: Reinforcement Learning Framework Automates GPU Kernel Optimization with Co-Evolving Skill Library Technology
Artificial Intelligence #gpu kernel optimization#reinforcement learning

daVinci-kernel: Reinforcement Learning Framework Automates GPU Kernel Optimization with Co-Evolving Skill Library

A new reinforcement learning framework called daVinci-kernel automates GPU kernel optimization by co-evolving skill selection, summarization, and utilization. The framework, detailed in a preprint on arXiv, uses three agents sharing one LLM backbone and achieves 37.2%, 70.6%, and 32.2% on KernelBench Level 1, 2, and 3 respectively, outperforming prior RL-trained models.

Jun 16, 2026 1 source
Synthetic Counteradaptation: A New Framework for Human-AI Co-evolution in Enterprise Systems Technology
Artificial Intelligence #multi-agent#framework

Synthetic Counteradaptation: A New Framework for Human-AI Co-evolution in Enterprise Systems

A new research paper introduces synthetic counteradaptation, a principle describing how humans and AI systems co-evolve by adapting to each other's strategies. The paper analyzes examples from the game of Go, mixed-motive social interactions, and geopolitical simulations, providing a framework for understanding recursive human-AI dynamics in multi-agent environments.

Jun 16, 2026 2 sources