π€π§ Quivr AI: Building Your Second Brain with Open-Source Generative Intelligence
ποΈ 12 Oct 2025
π AI News & Trends
In the rapidly evolving landscape of artificial intelligence, developers and businesses are seeking solutions that merge flexibility, power, and simplicity. Enter Quivr β an open-source framework designed to help you build your own βsecond brainβ powered by Generative AI. Whether youβre an indie developer, startup founder or enterprise engineer, it makes it possible to integrate ...
#QuivrAI #SecondBrain #GenerativeAI #OpenSourceAI #AIFramework #AIProductivity
ποΈ 12 Oct 2025
π AI News & Trends
In the rapidly evolving landscape of artificial intelligence, developers and businesses are seeking solutions that merge flexibility, power, and simplicity. Enter Quivr β an open-source framework designed to help you build your own βsecond brainβ powered by Generative AI. Whether youβre an indie developer, startup founder or enterprise engineer, it makes it possible to integrate ...
#QuivrAI #SecondBrain #GenerativeAI #OpenSourceAI #AIFramework #AIProductivity
π€π§ HunyuanWorld-Mirror: Tencentβs Breakthrough in Universal 3D Reconstruction
ποΈ 03 Nov 2025
π AI News & Trends
The race toward achieving universal 3D understanding has reached a significant milestone with Tencentβs HunyuanWorld-Mirror, a cutting-edge open-source model designed to revolutionize 3D reconstruction. In an era dominated by visual intelligence and immersive digital experiences, this new model stands out by offering a feed-forward, geometry-aware framework that can predict multiple 3D outputs in a single ...
#HunyuanWorld #Tencent #3DReconstruction #UniversalAI #GeometryAware #OpenSourceAI
ποΈ 03 Nov 2025
π AI News & Trends
The race toward achieving universal 3D understanding has reached a significant milestone with Tencentβs HunyuanWorld-Mirror, a cutting-edge open-source model designed to revolutionize 3D reconstruction. In an era dominated by visual intelligence and immersive digital experiences, this new model stands out by offering a feed-forward, geometry-aware framework that can predict multiple 3D outputs in a single ...
#HunyuanWorld #Tencent #3DReconstruction #UniversalAI #GeometryAware #OpenSourceAI
β€1
β¨WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning
π Summary:
WebSailor is a post-training method that teaches open-source AI models to systematically reduce uncertainty in complex information-seeking tasks. Using synthetic high-uncertainty tasks and an RL algorithm, it enables open-source agents to match the performance of proprietary systems.
πΉ Publication Date: Published on Sep 16
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2509.13305
β’ PDF: https://arxiv.org/pdf/2509.13305
β’ Project Page: https://tongyi-agent.github.io/blog/
β’ Github: https://tongyi-agent.github.io/blog/
==================================
For more data science resources:
β https://t.me/DataScienceT
#AI #ReinforcementLearning #OpenSourceAI #AIAgents #MachineLearning
π Summary:
WebSailor is a post-training method that teaches open-source AI models to systematically reduce uncertainty in complex information-seeking tasks. Using synthetic high-uncertainty tasks and an RL algorithm, it enables open-source agents to match the performance of proprietary systems.
πΉ Publication Date: Published on Sep 16
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2509.13305
β’ PDF: https://arxiv.org/pdf/2509.13305
β’ Project Page: https://tongyi-agent.github.io/blog/
β’ Github: https://tongyi-agent.github.io/blog/
==================================
For more data science resources:
β https://t.me/DataScienceT
#AI #ReinforcementLearning #OpenSourceAI #AIAgents #MachineLearning
β¨InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
π Summary:
InternVL3 introduces a native multimodal pre-training paradigm, jointly learning from multimodal and text data to overcome conventional alignment challenges. This unified approach, combined with advanced techniques, achieves state-of-the-art performance on multimodal tasks, rivaling proprietary m...
πΉ Publication Date: Published on Apr 14
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2504.10479
β’ PDF: https://arxiv.org/pdf/2504.10479
β’ Project Page: https://internvl.github.io/blog/2025-04-11-InternVL-3.0/
πΉ Models citing this paper:
β’ https://huggingface.co/OpenGVLab/InternVL3-78B
β’ https://huggingface.co/OpenGVLab/InternVL3_5-241B-A28B
β’ https://huggingface.co/OpenGVLab/InternVL3-8B
β¨ Datasets citing this paper:
β’ https://huggingface.co/datasets/OpenGVLab/MMPR-v1.2-prompts
β¨ Spaces citing this paper:
β’ https://huggingface.co/spaces/AntResearchNLP/ViLaBench
β’ https://huggingface.co/spaces/TIGER-Lab/MEGA-Bench
β’ https://huggingface.co/spaces/prithivMLmods/Tiny-VLMs-Lab
==================================
For more data science resources:
β https://t.me/DataScienceT
#MultimodalAI #DeepLearning #AIResearch #OpenSourceAI #GenerativeAI
π Summary:
InternVL3 introduces a native multimodal pre-training paradigm, jointly learning from multimodal and text data to overcome conventional alignment challenges. This unified approach, combined with advanced techniques, achieves state-of-the-art performance on multimodal tasks, rivaling proprietary m...
πΉ Publication Date: Published on Apr 14
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2504.10479
β’ PDF: https://arxiv.org/pdf/2504.10479
β’ Project Page: https://internvl.github.io/blog/2025-04-11-InternVL-3.0/
πΉ Models citing this paper:
β’ https://huggingface.co/OpenGVLab/InternVL3-78B
β’ https://huggingface.co/OpenGVLab/InternVL3_5-241B-A28B
β’ https://huggingface.co/OpenGVLab/InternVL3-8B
β¨ Datasets citing this paper:
β’ https://huggingface.co/datasets/OpenGVLab/MMPR-v1.2-prompts
β¨ Spaces citing this paper:
β’ https://huggingface.co/spaces/AntResearchNLP/ViLaBench
β’ https://huggingface.co/spaces/TIGER-Lab/MEGA-Bench
β’ https://huggingface.co/spaces/prithivMLmods/Tiny-VLMs-Lab
==================================
For more data science resources:
β https://t.me/DataScienceT
#MultimodalAI #DeepLearning #AIResearch #OpenSourceAI #GenerativeAI
arXiv.org
InternVL3: Exploring Advanced Training and Test-Time Recipes for...
We introduce InternVL3, a significant advancement in the InternVL series featuring a native multimodal pre-training paradigm. Rather than adapting a text-only large language model (LLM) into a...
π€π§ vLLM Semantic Router: The Next Frontier in Intelligent Model Routing for LLMs
ποΈ 11 Nov 2025
π AI News & Trends
As large language models (LLMs) continue to evolve, organizations face new challenges in optimizing performance, accuracy and cost across various AI workloads. Running multiple models efficiently β each specialized for specific tasks has become essential for scalable AI deployment. Enter vLLM Semantic Router, an open-source innovation that introduces a new layer of intelligence to the ...
#vLLMSemanticRouter #LargeLanguageModels #AIScaling #ModelRouting #OpenSourceAI #LLMOptimization
ποΈ 11 Nov 2025
π AI News & Trends
As large language models (LLMs) continue to evolve, organizations face new challenges in optimizing performance, accuracy and cost across various AI workloads. Running multiple models efficiently β each specialized for specific tasks has become essential for scalable AI deployment. Enter vLLM Semantic Router, an open-source innovation that introduces a new layer of intelligence to the ...
#vLLMSemanticRouter #LargeLanguageModels #AIScaling #ModelRouting #OpenSourceAI #LLMOptimization
π€π§ Plandex AI: The Future of Autonomous Coding Agents for Large-Scale Development
ποΈ 11 Nov 2025
π AI News & Trends
As software development becomes increasingly complex, developers are turning to AI tools that can manage, understand and automate large portions of the coding workflow. Among the most promising innovations in this space is Plandex AI, an open-source terminal-based coding agent designed for real-world, large-scale projects. Unlike simple AI coding assistants that handle small snippets, Plandex ...
#PlandexAI #AutonomousCoding #LargeScaleDevelopment #AICoding #OpenSourceAI #CodeAutomation
ποΈ 11 Nov 2025
π AI News & Trends
As software development becomes increasingly complex, developers are turning to AI tools that can manage, understand and automate large portions of the coding workflow. Among the most promising innovations in this space is Plandex AI, an open-source terminal-based coding agent designed for real-world, large-scale projects. Unlike simple AI coding assistants that handle small snippets, Plandex ...
#PlandexAI #AutonomousCoding #LargeScaleDevelopment #AICoding #OpenSourceAI #CodeAutomation
π€π§ Bytebot: The Future of AI Desktop Automation
ποΈ 12 Nov 2025
π AI News & Trends
In the era of rapid digital transformation, automation is the driving force behind business efficiency and innovation. While most AI agents are limited to browsers or APIs, a groundbreaking open-source project called Bytebot has redefined what AI can achieve. Bytebot introduces a self-hosted AI desktop agent β a virtual computer that performs complex, multi-step tasks ...
#Bytebot #AIDesktopAutomation #SelfHostedAI #OpenSourceAI #AIAgents #TaskAutomation
ποΈ 12 Nov 2025
π AI News & Trends
In the era of rapid digital transformation, automation is the driving force behind business efficiency and innovation. While most AI agents are limited to browsers or APIs, a groundbreaking open-source project called Bytebot has redefined what AI can achieve. Bytebot introduces a self-hosted AI desktop agent β a virtual computer that performs complex, multi-step tasks ...
#Bytebot #AIDesktopAutomation #SelfHostedAI #OpenSourceAI #AIAgents #TaskAutomation
β€1
β¨MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling
π Summary:
MiroThinker v1.0 is an open-source research agent introducing 'interactive scaling.' It trains models with reinforcement learning for deeper agent-environment interactions, performing up to 600 tool calls per task. This achieves state-of-the-art performance and establishes interaction depth as a ...
πΉ Publication Date: Published on Nov 14
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2511.11793
β’ PDF: https://arxiv.org/pdf/2511.11793
β’ Project Page: https://dr.miromind.ai/
β’ Github: https://github.com/MiroMindAI/MiroThinker
πΉ Models citing this paper:
β’ https://huggingface.co/miromind-ai/MiroThinker-v1.0-72B
β’ https://huggingface.co/miromind-ai/MiroThinker-v1.0-8B
β’ https://huggingface.co/miromind-ai/MiroThinker-v1.0-30B
==================================
For more data science resources:
β https://t.me/DataScienceT
#MiroThinker #ResearchAgents #ReinforcementLearning #OpenSourceAI #LLM
π Summary:
MiroThinker v1.0 is an open-source research agent introducing 'interactive scaling.' It trains models with reinforcement learning for deeper agent-environment interactions, performing up to 600 tool calls per task. This achieves state-of-the-art performance and establishes interaction depth as a ...
πΉ Publication Date: Published on Nov 14
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2511.11793
β’ PDF: https://arxiv.org/pdf/2511.11793
β’ Project Page: https://dr.miromind.ai/
β’ Github: https://github.com/MiroMindAI/MiroThinker
πΉ Models citing this paper:
β’ https://huggingface.co/miromind-ai/MiroThinker-v1.0-72B
β’ https://huggingface.co/miromind-ai/MiroThinker-v1.0-8B
β’ https://huggingface.co/miromind-ai/MiroThinker-v1.0-30B
==================================
For more data science resources:
β https://t.me/DataScienceT
#MiroThinker #ResearchAgents #ReinforcementLearning #OpenSourceAI #LLM
arXiv.org
MiroThinker: Pushing the Performance Boundaries of Open-Source...
We present MiroThinker v1.0, an open-source research agent designed to advance tool-augmented reasoning and information-seeking capabilities. Unlike previous agents that only scale up model size...
β€1
β¨Mobile-Agent-v3: Foundamental Agents for GUI Automation
π Summary:
GUI-Owl and Mobile-Agent-v3 are open-source GUI agent models achieving state-of-the-art performance on GUI benchmarks. GUI-Owl introduces large-scale environment infrastructure, diverse agent capabilities, and scalable reinforcement learning, with Mobile-Agent-v3 further improving these results.
πΉ Publication Date: Published on Aug 21
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2508.15144
β’ PDF: https://arxiv.org/pdf/2508.15144
β’ Project Page: https://github.com/X-PLUG/MobileAgent
β’ Github: https://github.com/X-PLUG/MobileAgent
πΉ Models citing this paper:
β’ https://huggingface.co/mPLUG/GUI-Owl-7B
β’ https://huggingface.co/mPLUG/GUI-Owl-32B
β’ https://huggingface.co/mPLUG/GUI-Owl-7B-Desktop-RL
==================================
For more data science resources:
β https://t.me/DataScienceT
#GUIAgent #Automation #ReinforcementLearning #AIResearch #OpenSourceAI
π Summary:
GUI-Owl and Mobile-Agent-v3 are open-source GUI agent models achieving state-of-the-art performance on GUI benchmarks. GUI-Owl introduces large-scale environment infrastructure, diverse agent capabilities, and scalable reinforcement learning, with Mobile-Agent-v3 further improving these results.
πΉ Publication Date: Published on Aug 21
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2508.15144
β’ PDF: https://arxiv.org/pdf/2508.15144
β’ Project Page: https://github.com/X-PLUG/MobileAgent
β’ Github: https://github.com/X-PLUG/MobileAgent
πΉ Models citing this paper:
β’ https://huggingface.co/mPLUG/GUI-Owl-7B
β’ https://huggingface.co/mPLUG/GUI-Owl-32B
β’ https://huggingface.co/mPLUG/GUI-Owl-7B-Desktop-RL
==================================
For more data science resources:
β https://t.me/DataScienceT
#GUIAgent #Automation #ReinforcementLearning #AIResearch #OpenSourceAI
β¨Scaling Open-Ended Reasoning to Predict the Future
π Summary:
This work trains language models for open-ended future prediction using a new dataset synthesized from news. Their OpenForecaster 8B model matches larger proprietary models in accuracy, calibration, and consistency. All resources are open-sourced.
πΉ Publication Date: Published on Dec 31, 2025
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2512.25070
β’ PDF: https://arxiv.org/pdf/2512.25070
β’ Project Page: https://www.openforecaster.github.io
β’ Github: https://github.com/OpenForecaster/scaling-forecasting-training
==================================
For more data science resources:
β https://t.me/DataScienceT
#LLMs #FuturePrediction #AI #OpenSourceAI #MachineLearning
π Summary:
This work trains language models for open-ended future prediction using a new dataset synthesized from news. Their OpenForecaster 8B model matches larger proprietary models in accuracy, calibration, and consistency. All resources are open-sourced.
πΉ Publication Date: Published on Dec 31, 2025
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2512.25070
β’ PDF: https://arxiv.org/pdf/2512.25070
β’ Project Page: https://www.openforecaster.github.io
β’ Github: https://github.com/OpenForecaster/scaling-forecasting-training
==================================
For more data science resources:
β https://t.me/DataScienceT
#LLMs #FuturePrediction #AI #OpenSourceAI #MachineLearning
β¨BitNet b1.58 2B4T Technical Report
π Summary:
BitNet b1.58 2B4T is the first open-source 1-bit Large Language Model with 2 billion parameters. It matches full-precision LLM performance while offering significant improvements in computational efficiency like reduced memory and energy. The model weights are openly released for research.
πΉ Publication Date: Published on Apr 16, 2025
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2504.12285
β’ PDF: https://arxiv.org/pdf/2504.12285
β’ Github: https://github.com/microsoft/bitnet
πΉ Models citing this paper:
β’ https://huggingface.co/microsoft/bitnet-b1.58-2B-4T
β’ https://huggingface.co/microsoft/bitnet-b1.58-2B-4T-gguf
β’ https://huggingface.co/microsoft/bitnet-b1.58-2B-4T-bf16
β¨ Spaces citing this paper:
β’ https://huggingface.co/spaces/suayptalha/Chat-with-Bitnet-b1.58-2B-4T
β’ https://huggingface.co/spaces/aizip-dev/SLM-RAG-Arena
β’ https://huggingface.co/spaces/Tonic/Native_1-bit_LLM
==================================
For more data science resources:
β https://t.me/DataScienceT
#LLM #AI #Quantization #OpenSourceAI #DeepLearning
π Summary:
BitNet b1.58 2B4T is the first open-source 1-bit Large Language Model with 2 billion parameters. It matches full-precision LLM performance while offering significant improvements in computational efficiency like reduced memory and energy. The model weights are openly released for research.
πΉ Publication Date: Published on Apr 16, 2025
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2504.12285
β’ PDF: https://arxiv.org/pdf/2504.12285
β’ Github: https://github.com/microsoft/bitnet
πΉ Models citing this paper:
β’ https://huggingface.co/microsoft/bitnet-b1.58-2B-4T
β’ https://huggingface.co/microsoft/bitnet-b1.58-2B-4T-gguf
β’ https://huggingface.co/microsoft/bitnet-b1.58-2B-4T-bf16
β¨ Spaces citing this paper:
β’ https://huggingface.co/spaces/suayptalha/Chat-with-Bitnet-b1.58-2B-4T
β’ https://huggingface.co/spaces/aizip-dev/SLM-RAG-Arena
β’ https://huggingface.co/spaces/Tonic/Native_1-bit_LLM
==================================
For more data science resources:
β https://t.me/DataScienceT
#LLM #AI #Quantization #OpenSourceAI #DeepLearning
arXiv.org
BitNet b1.58 2B4T Technical Report
We introduce BitNet b1.58 2B4T, the first open-source, native 1-bit Large Language Model (LLM) at the 2-billion parameter scale. Trained on a corpus of 4 trillion tokens, the model has been...