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•🔥 OpenBMB/ChatDevGitHub Trending•🔥 microsoft/agent-lightningGitHub Trending•🔥 apache/supersetGitHub Trending•🔥 shanraisshan/claude-code-best-practiceGitHub Trending•A-SelecT: Automatic Timestep Selection for Diffusion Transformer Representation LearningarXiv•GUIDE: Resolving Domain Bias in GUI Agents through Real-Time Web Video Retrieval and Plug-and-Play AnnotationarXiv•Sommelier: Scalable Open Multi-turn Audio Pre-processing for Full-duplex Speech Language ModelsarXiv•CANGuard: A Spatio-Temporal CNN-GRU-Attention Hybrid Architecture for Intrusion Detection in In-Vehicle CAN NetworksarXiv•DesignWeaver: Dimensional Scaffolding for Text-to-Image Product DesignarXiv•A Lightweight, Transferable, and Self-Adaptive Framework for Intelligent DC Arc-Fault Detection in Photovoltaic SystemsarXiv•Consistency Amplifies: How Behavioral Variance Shapes Agent AccuracyarXiv•Stabilizing Rubric Integration Training via Decoupled Advantage NormalizationarXiv•Semi-Automated Knowledge Engineering and Process Mapping for Total Airport ManagementarXiv•AIRA_2: Overcoming Bottlenecks in AI Research AgentsarXiv•BeSafe-Bench: Unveiling Behavioral Safety Risks of Situated Agents in Functional EnvironmentsarXiv•🔥 OpenBMB/ChatDevGitHub Trending•🔥 microsoft/agent-lightningGitHub Trending•🔥 apache/supersetGitHub Trending•🔥 shanraisshan/claude-code-best-practiceGitHub Trending•A-SelecT: Automatic Timestep Selection for Diffusion Transformer Representation LearningarXiv•GUIDE: Resolving Domain Bias in GUI Agents through Real-Time Web Video Retrieval and Plug-and-Play AnnotationarXiv•Sommelier: Scalable Open Multi-turn Audio Pre-processing for Full-duplex Speech Language ModelsarXiv•CANGuard: A Spatio-Temporal CNN-GRU-Attention Hybrid Architecture for Intrusion Detection in In-Vehicle CAN NetworksarXiv•DesignWeaver: Dimensional Scaffolding for Text-to-Image Product DesignarXiv•A Lightweight, Transferable, and Self-Adaptive Framework for Intelligent DC Arc-Fault Detection in Photovoltaic SystemsarXiv•Consistency Amplifies: How Behavioral Variance Shapes Agent AccuracyarXiv•Stabilizing Rubric Integration Training via Decoupled Advantage NormalizationarXiv•Semi-Automated Knowledge Engineering and Process Mapping for Total Airport ManagementarXiv•AIRA_2: Overcoming Bottlenecks in AI Research AgentsarXiv•BeSafe-Bench: Unveiling Behavioral Safety Risks of Situated Agents in Functional EnvironmentsarXiv
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Knowledge Quiz

Test your understanding of this article

1.What is the primary method AlphaCode 3 uses to improve its coding capabilities?

2.How does AlphaCode 3 evaluate its own generated solutions to programming problems?

3.What level of performance did AlphaCode 3 achieve on Codeforces?

4.What significant aspect of AlphaCode 3's training data distinguishes it from previous systems?