🤖🧠 MiniMax-M2: The Open-Source Revolution Powering Coding and Agentic Intelligence

🗓️ 30 Oct 2025
📚 AI News & Trends

Artificial intelligence is evolving faster than ever, but not every innovation needs to be enormous to make an impact. MiniMax-M2, the latest release from MiniMax-AI, demonstrates that efficiency and power can coexist within a streamlined framework. MiniMax-M2 is an open-source Mixture of Experts (MoE) model designed for coding tasks, multi-agent collaboration and automation workflows. With ...

#MiniMaxM2 #OpenSource #MachineLearning #CodingAI #AgenticIntelligence #MixtureOfExperts

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🔹 Publication Date: Published on Oct 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.26007
• PDF: https://arxiv.org/pdf/2510.26007

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🔹 Title: Kimi Linear: An Expressive, Efficient Attention Architecture

🔹 Publication Date: Published on Oct 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.26692
• PDF: https://arxiv.org/pdf/2510.26692
• Github: https://github.com/MoonshotAI/Kimi-Linear

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🔹 Title: Emu3.5: Native Multimodal Models are World Learners

🔹 Publication Date: Published on Oct 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.26583
• PDF: https://arxiv.org/pdf/2510.26583
• Project Page: https://emu.world/
• Github: https://github.com/baaivision/Emu3.5

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🔹 Title: Are Video Models Ready as Zero-Shot Reasoners? An Empirical Study with the MME-CoF Benchmark

🔹 Publication Date: Published on Oct 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.26802
• PDF: https://arxiv.org/pdf/2510.26802
• Github: https://video-cof.github.io/

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🔹 Title: Remote Labor Index: Measuring AI Automation of Remote Work

🔹 Publication Date: Published on Oct 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.26787
• PDF: https://arxiv.org/pdf/2510.26787

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🔹 Publication Date: Published on Oct 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.26298
• PDF: https://arxiv.org/pdf/2510.26298
• Project Page: https://atlas-game-eval.github.io/

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🔹 Title: Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning

🔹 Publication Date: Published on Oct 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.25992
• PDF: https://arxiv.org/pdf/2510.25992

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🔹 Publication Date: Published on Oct 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.26474
• PDF: https://arxiv.org/pdf/2510.26474

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🔹 Publication Date: Published on Oct 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.26800
• PDF: https://arxiv.org/pdf/2510.26800
• Project Page: https://yukun-huang.github.io/OmniX/
• Github: https://yukun-huang.github.io/OmniX/

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🔹 Title: The Quest for Generalizable Motion Generation: Data, Model, and Evaluation

🔹 Publication Date: Published on Oct 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.26794
• PDF: https://arxiv.org/pdf/2510.26794

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🔹 Title: EnzyControl: Adding Functional and Substrate-Specific Control for Enzyme Backbone Generation

🔹 Publication Date: Published on Oct 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.25132
• PDF: https://arxiv.org/pdf/2510.25132

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🔹 Title: CRAG-MM: Multi-modal Multi-turn Comprehensive RAG Benchmark

🔹 Publication Date: Published on Oct 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.26160
• PDF: https://arxiv.org/pdf/2510.26160

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🔹 Title: FullPart: Generating each 3D Part at Full Resolution

🔹 Publication Date: Published on Oct 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.26140
• PDF: https://arxiv.org/pdf/2510.26140
• Project Page: https://fullpart3d.github.io/
• Github: https://github.com/hkdsc/fullpart

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🔹 Title: Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets

🔹 Publication Date: Published on Oct 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.25779
• PDF: https://arxiv.org/pdf/2510.25779
• Github: https://github.com/microsoft/multi-agent-marketplace

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🔹 Title: AMO-Bench: Large Language Models Still Struggle in High School Math Competitions

🔹 Publication Date: Published on Oct 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2510.26768
• PDF: https://arxiv.org/pdf/2510.26768
• Project Page: https://amo-bench.github.io/
• Github: https://amo-bench.github.io/

🔹 Datasets citing this paper:
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🔹 Title: EHR-R1: A Reasoning-Enhanced Foundational Language Model for Electronic Health Record Analysis

🔹 Publication Date: Published on Oct 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.25628
• PDF: https://arxiv.org/pdf/2510.25628
• Github: https://github.com/MAGIC-AI4Med/EHR-R1

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A noscript

I guess this is a start
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🔹 Publication Date: Published on Oct 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.26658
• PDF: https://arxiv.org/pdf/2510.26658

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🔹 Title: OmniLayout: Enabling Coarse-to-Fine Learning with LLMs for Universal Document Layout Generation

🔹 Publication Date: Published on Oct 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.26213
• PDF: https://arxiv.org/pdf/2510.26213

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🔹 Title: Exploring Conditions for Diffusion models in Robotic Control

🔹 Publication Date: Published on Oct 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15510
• PDF: https://arxiv.org/pdf/2510.15510
• Project Page: https://orca-rc.github.io/
• Github: https://orca-rc.github.io/

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