🤖🧠 Reflex: Build Full-Stack Web Apps in Pure Python — Fast, Flexible and Powerful

🗓️ 29 Oct 2025
📚 AI News & Trends

Building modern web applications has traditionally required mastering multiple languages and frameworks from JavaScript for the frontend to Python, Java or Node.js for the backend. For many developers, switching between different technologies can slow down productivity and increase complexity. Reflex eliminates that problem. It is an innovative open-source full-stack web framework that allows developers to ...

#Reflex #FullStack #WebDevelopment #Python #OpenSource #WebApps

🤖🧠 MLOps Basics: A Complete Guide to Building, Deploying and Monitoring Machine Learning Models

🗓️ 30 Oct 2025
📚 AI News & Trends

Machine Learning models are powerful but building them is only half the story. The true challenge lies in deploying, scaling and maintaining these models in production environments – a process that requires collaboration between data scientists, developers and operations teams. This is where MLOps (Machine Learning Operations) comes in. MLOps combines the principles of DevOps ...

#MLOps #MachineLearning #DevOps #ModelDeployment #DataScience #ProductionAI

🤖🧠 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

🔹 Title: The Quest for Reliable Metrics of Responsible AI

🔹 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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🔹 Title: Can Agent Conquer Web? Exploring the Frontiers of ChatGPT Atlas Agent in Web Games

🔹 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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🔹 Title: Counteracting Matthew Effect in Self-Improvement of LVLMs through Head-Tail Re-balancing

🔹 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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🔹 Title: OmniX: From Unified Panoramic Generation and Perception to Graphics-Ready 3D Scenes

🔹 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:
• https://huggingface.co/datasets/meituan-longcat/AMO-Bench

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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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🔹 Title: The Era of Agentic Organization: Learning to Organize with Language Models

🔹 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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