π€π§ Sora: OpenAIβs Breakthrough Text-to-Video Model Transforming Visual Creativity
ποΈ 18 Oct 2025
π AI News & Trends
Introduction Artificial Intelligence (AI) is rapidly transforming the creative world. From generating realistic images to composing music and writing code, AI has redefined how humans interact with technology. But one of the most revolutionary advancements in this domain is Sora, OpenAIβs text-to-video generative model that converts written prompts into hyper-realistic video clips. Ithas captured global ...
#Sora #OpenAI #TextToVideo #AI #VisualCreativity #GenerativeModel
ποΈ 18 Oct 2025
π AI News & Trends
Introduction Artificial Intelligence (AI) is rapidly transforming the creative world. From generating realistic images to composing music and writing code, AI has redefined how humans interact with technology. But one of the most revolutionary advancements in this domain is Sora, OpenAIβs text-to-video generative model that converts written prompts into hyper-realistic video clips. Ithas captured global ...
#Sora #OpenAI #TextToVideo #AI #VisualCreativity #GenerativeModel
β€3β€βπ₯1
π€π§ Unleashing the Power of AI with Open Agent Builder: A Visual Workflow Tool for AI Agents
ποΈ 19 Oct 2025
π AI News & Trends
In todayβs rapidly advancing technological landscape, artificial intelligence (AI) is not just a buzzword, itβs a transformative force across industries. From automating complex tasks to streamlining operations, AI is revolutionizing workflows. However, designing and deploying AI-driven workflows has traditionally required expert-level programming knowledge. Enter Open Agent Builder, a revolutionary tool that democratizes the creation of ...
#AI #ArtificialIntelligence #OpenAgentBuilder #AIAgents #VisualWorkflow #TechInnovation
ποΈ 19 Oct 2025
π AI News & Trends
In todayβs rapidly advancing technological landscape, artificial intelligence (AI) is not just a buzzword, itβs a transformative force across industries. From automating complex tasks to streamlining operations, AI is revolutionizing workflows. However, designing and deploying AI-driven workflows has traditionally required expert-level programming knowledge. Enter Open Agent Builder, a revolutionary tool that democratizes the creation of ...
#AI #ArtificialIntelligence #OpenAgentBuilder #AIAgents #VisualWorkflow #TechInnovation
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πΉ Title: MorphoBench: A Benchmark with Difficulty Adaptive to Model Reasoning
πΉ Publication Date: Published on Oct 16
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.14265
β’ PDF: https://arxiv.org/pdf/2510.14265
β’ Github: https://github.com/OpenDCAI/MorphoBench
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πΉ Publication Date: Published on Oct 16
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.14265
β’ PDF: https://arxiv.org/pdf/2510.14265
β’ Github: https://github.com/OpenDCAI/MorphoBench
πΉ Datasets citing this paper:
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πΉ Title: Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagery
πΉ Publication Date: Published on Oct 17
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15869
β’ PDF: https://arxiv.org/pdf/2510.15869
β’ Project Page: https://skyfall-gs.jayinnn.dev/
β’ Github: https://github.com/jayin92/skyfall-gs
πΉ Datasets citing this paper:
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πΉ Publication Date: Published on Oct 17
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15869
β’ PDF: https://arxiv.org/pdf/2510.15869
β’ Project Page: https://skyfall-gs.jayinnn.dev/
β’ Github: https://github.com/jayin92/skyfall-gs
πΉ Datasets citing this paper:
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πΉ Title: OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM
πΉ Publication Date: Published on Oct 17
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15870
β’ PDF: https://arxiv.org/pdf/2510.15870
β’ Project Page: https://nvlabs.github.io/OmniVinci/
β’ Github: https://github.com/NVlabs/OmniVinci
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πΉ Publication Date: Published on Oct 17
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15870
β’ PDF: https://arxiv.org/pdf/2510.15870
β’ Project Page: https://nvlabs.github.io/OmniVinci/
β’ Github: https://github.com/NVlabs/OmniVinci
πΉ Datasets citing this paper:
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πΉ Title: BLIP3o-NEXT: Next Frontier of Native Image Generation
πΉ Publication Date: Published on Oct 17
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15857
β’ PDF: https://arxiv.org/pdf/2510.15857
β’ Project Page: https://jiuhaichen.github.io/BLIP3o-NEXT.github.io/
πΉ Datasets citing this paper:
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πΉ Publication Date: Published on Oct 17
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15857
β’ PDF: https://arxiv.org/pdf/2510.15857
β’ Project Page: https://jiuhaichen.github.io/BLIP3o-NEXT.github.io/
πΉ Datasets citing this paper:
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πΉ Title: Imaginarium: Vision-guided High-Quality 3D Scene Layout Generation
πΉ Publication Date: Published on Oct 17
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15564
β’ PDF: https://arxiv.org/pdf/2510.15564
β’ Github: https://github.com/HiHiAllen/Imaginarium
πΉ Datasets citing this paper:
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πΉ Publication Date: Published on Oct 17
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15564
β’ PDF: https://arxiv.org/pdf/2510.15564
β’ Github: https://github.com/HiHiAllen/Imaginarium
πΉ Datasets citing this paper:
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πΉ Title: Explore to Evolve: Scaling Evolved Aggregation Logic via Proactive Online Exploration for Deep Research Agents
πΉ Publication Date: Published on Oct 16
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.14438
β’ PDF: https://arxiv.org/pdf/2510.14438
β’ Github: https://github.com/Tencent/WebAggregator
πΉ Datasets citing this paper:
β’ https://huggingface.co/datasets/CognitiveKernel/WebAggregatorQA
πΉ Spaces citing this paper:
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πΉ Publication Date: Published on Oct 16
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.14438
β’ PDF: https://arxiv.org/pdf/2510.14438
β’ Github: https://github.com/Tencent/WebAggregator
πΉ Datasets citing this paper:
β’ https://huggingface.co/datasets/CognitiveKernel/WebAggregatorQA
πΉ Spaces citing this paper:
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πΉ Title: Paper2Web: Let's Make Your Paper Alive!
πΉ Publication Date: Published on Oct 17
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15842
β’ PDF: https://arxiv.org/pdf/2510.15842
β’ Project Page: https://francischen3.github.io/P2W_Website/
β’ Github: https://github.com/YuhangChen1/Paper2All
πΉ Datasets citing this paper:
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πΉ Publication Date: Published on Oct 17
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15842
β’ PDF: https://arxiv.org/pdf/2510.15842
β’ Project Page: https://francischen3.github.io/P2W_Website/
β’ Github: https://github.com/YuhangChen1/Paper2All
πΉ Datasets citing this paper:
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πΉ Title: Scaling Instruction-Based Video Editing with a High-Quality Synthetic Dataset
πΉ Publication Date: Published on Oct 17
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15742
β’ PDF: https://arxiv.org/pdf/2510.15742
β’ Project Page: https://ezioby.github.io/Ditto_page
β’ Github: https://github.com/EzioBy/Ditto
πΉ Datasets citing this paper:
β’ https://huggingface.co/datasets/QingyanBai/Ditto-1M
πΉ Spaces citing this paper:
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πΉ Publication Date: Published on Oct 17
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15742
β’ PDF: https://arxiv.org/pdf/2510.15742
β’ Project Page: https://ezioby.github.io/Ditto_page
β’ Github: https://github.com/EzioBy/Ditto
πΉ Datasets citing this paper:
β’ https://huggingface.co/datasets/QingyanBai/Ditto-1M
πΉ Spaces citing this paper:
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πΉ Title: Latent Diffusion Model without Variational Autoencoder
πΉ Publication Date: Published on Oct 17
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15301
β’ PDF: https://arxiv.org/pdf/2510.15301
β’ Project Page: https://howlin-wang.github.io/svg/
β’ Github: https://github.com/shiml20/SVG
πΉ Datasets citing this paper:
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πΉ Publication Date: Published on Oct 17
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15301
β’ PDF: https://arxiv.org/pdf/2510.15301
β’ Project Page: https://howlin-wang.github.io/svg/
β’ Github: https://github.com/shiml20/SVG
πΉ Datasets citing this paper:
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πΉ Title: FinTrust: A Comprehensive Benchmark of Trustworthiness Evaluation in Finance Domain
πΉ Publication Date: Published on Oct 17
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15232
β’ PDF: https://arxiv.org/pdf/2510.15232
β’ Github: https://github.com/HughieHu/FinTrust/
πΉ Datasets citing this paper:
β’ https://huggingface.co/datasets/HughieHu/FinTrust
πΉ Spaces citing this paper:
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πΉ Publication Date: Published on Oct 17
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15232
β’ PDF: https://arxiv.org/pdf/2510.15232
β’ Github: https://github.com/HughieHu/FinTrust/
πΉ Datasets citing this paper:
β’ https://huggingface.co/datasets/HughieHu/FinTrust
πΉ Spaces citing this paper:
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πΉ Title: VISTA: A Test-Time Self-Improving Video Generation Agent
πΉ Publication Date: Published on Oct 17
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15831
β’ PDF: https://arxiv.org/pdf/2510.15831
β’ Github: https://g-vista.github.io/
πΉ Datasets citing this paper:
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πΉ Publication Date: Published on Oct 17
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15831
β’ PDF: https://arxiv.org/pdf/2510.15831
β’ Github: https://g-vista.github.io/
πΉ Datasets citing this paper:
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πΉ Title: Robust Layerwise Scaling Rules by Proper Weight Decay Tuning
πΉ Publication Date: Published on Oct 17
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15262
β’ PDF: https://arxiv.org/pdf/2510.15262
πΉ Datasets citing this paper:
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πΉ Publication Date: Published on Oct 17
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15262
β’ PDF: https://arxiv.org/pdf/2510.15262
πΉ Datasets citing this paper:
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πΉ Title: DLER: Doing Length pEnalty Right - Incentivizing More Intelligence per Token via Reinforcement Learning
πΉ Publication Date: Published on Oct 16
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15110
β’ PDF: https://arxiv.org/pdf/2510.15110
πΉ Datasets citing this paper:
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πΉ Publication Date: Published on Oct 16
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15110
β’ PDF: https://arxiv.org/pdf/2510.15110
πΉ Datasets citing this paper:
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πΉ Title: Train a Unified Multimodal Data Quality Classifier with Synthetic Data
πΉ Publication Date: Published on Oct 16
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15162
β’ PDF: https://arxiv.org/pdf/2510.15162
πΉ Datasets citing this paper:
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πΉ Publication Date: Published on Oct 16
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15162
β’ PDF: https://arxiv.org/pdf/2510.15162
πΉ Datasets citing this paper:
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πΉ Title: Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition
πΉ Publication Date: Published on Oct 17
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15280
β’ PDF: https://arxiv.org/pdf/2510.15280
πΉ Datasets citing this paper:
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πΉ Publication Date: Published on Oct 17
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15280
β’ PDF: https://arxiv.org/pdf/2510.15280
πΉ Datasets citing this paper:
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πΉ Title: InfiMed-ORBIT: Aligning LLMs on Open-Ended Complex Tasks via Rubric-Based Incremental Training
πΉ Publication Date: Published on Oct 17
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15859
β’ PDF: https://arxiv.org/pdf/2510.15859
πΉ Datasets citing this paper:
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πΉ Publication Date: Published on Oct 17
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.15859
β’ PDF: https://arxiv.org/pdf/2510.15859
πΉ Datasets citing this paper:
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πΉ Title: A^2FM: An Adaptive Agent Foundation Model for Tool-Aware Hybrid Reasoning
πΉ Publication Date: Published on Oct 13
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.12838
β’ PDF: https://arxiv.org/pdf/2510.12838
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πΉ Publication Date: Published on Oct 13
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.12838
β’ PDF: https://arxiv.org/pdf/2510.12838
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