Samsung Hacking Incident: Samsung Electronics' Official Hugging Face Account Compromised Samsung Electronics' official Hugging Face account has been hacked. Approximately 17 hours ago, two new language models (LLMs) were registered under Samsung Electronics' official Hugging Face account. These models are:
The model descriptions contain absurd and false claims, such as being trained on "1 million W200 GPUs," hardware that doesn't even exist. Moreover, community participants on Hugging Face who have noticed this issue are continuously posting that Samsung Electronics' account has been compromised. There is concern about potential secondary and tertiary damage if users download these LLMs released under the Samsung Electronics account, trusting Samsung's reputation without knowing about the hack. Samsung Electronics appears to be unaware of this situation, as they have not taken any visible measures yet, such as changing the account password. Source: https://discord.gg/openfreeai
🌊 CycleNavigator: Visualizing Economic and Political Cycles Through AI at a Glance! 🧠💹
💫 Strategic Intelligence Tool for Navigating Historical Waves and Forecasting the Future
Hello there! 🙌 CycleNavigator brings you an innovative fusion of economic history, data visualization, and generative AI. This open-source project revolutionizes decision-making by displaying four major economic and political cycles through interactive visualizations!
📊 Experience Four Major Cycles in One View:
Business Cycle (≈9 years) ⏱️ - The 'heartbeat' of investment and inventory Kondratiev Wave (≈50 years) 🌐 - Long technological innovation waves Finance Cycle (≈80 years) 💰 - Rhythm of debt and financial crises Hegemony Cycle (≈250 years) 🏛️ - Transitions in global order
✨ Cutting-Edge Features:
Interactive Wave Visualization 🎯 - Intuitive graphs powered by Plotly AI-Powered Historical Similarity Mapping 🧩 - Connecting past events via SBERT embeddings Real-time News Integration 📰 - Linking current issues to long cycles with Brave API GPT-Enhanced Analysis 🤖 - Delivering structured insights through optimized prompting
💡 Practical Applications:
Improve decision accuracy ⚡ by instantly grasping economic trends Identify connections 🔄 between breaking news and long-term cycles Gain reliable insights 🔍 through verifiable data and transparent methodology Extend to multiple domains 🚀 - education, research, asset management, policy institutes
🌟 A New Intelligence Paradigm: When slow cycles (9-50-80-250 years) and fast headlines (Brave API) meet on a single canvas, experience an innovative decision-making environment where you can reconstruct the past, interpret the present, and design future scenarios!
✨ DreamO Video: From Customized Images to Videos ✨ Hello, AI creators! Today I'm introducing a truly special project. DreamO Video is an integrated framework that generates customized images based on reference images and transforms them into videos with natural movement. 🎬✨
Image Reference (IP): Maintain object appearance while applying to new backgrounds and situations ID Preservation: Retain facial features across various environments Style Transfer: Apply unique styles from reference images to other content 🎞️ Video Generation: Create natural 2-second videos from generated images
💡 How to Use
Upload Reference Images: One or two images (people, objects, landscapes, etc.) Select Task Type: Choose between IP (Image Preservation), ID (Face Feature Retention), or Style Enter Prompt: Describe your desired result (e.g., "a woman playing guitar on a cloud") Click Generate Image: ✨ Create customized AI images! Generate Video: Click the 🎬 button on the generated image to create a 2-second natural video
🚀 Usage Examples
👗 Virtual Fitting: Combine clothes and people to visualize outfit appearance 🖼️ Artwork Transformation: Create new images in your favorite styles 📸 Portrait Modification: Create appearances in various environments and situations 🎭 Character Design: Develop new characters based on reference images 🎥 Short Animations: Transform static images into vivid videos
⚠️ Demo Version Notice In the current demo version, video generation is restricted to 2 seconds only. The full version supports generation of up to 60 seconds. 📊 Latest Updates
2025.05.13: DreamO Video Integration version released! 2025.05.11: Improved oversaturation and unnatural face issues
Create amazing content with DreamO Video! If you have any questions or feedback, please don't hesitate to contact us. We look forward to seeing your creations! 💫🎨 #AI #ImageGeneration #VideoGeneration #DreamO #HuggingFace
Hello there! Would you like to transform your 3D models into stunning animations? This space can help you! ✨
## 🔍 What Can It Do?
This tool converts your uploaded GLB model into: 1. 🎮 A transformed GLB file 2. 🎬 An animated GIF preview 3. 📋 A metadata JSON file
## ✅ Key Features
* 🖥️ Works in headless server environments (EGL + pyglet-headless → pyrender fallback) * 🔍 Objects in GIFs appear 3x larger (global scale ×3) * 🎨 Clean interface with pastel background
## 🎮 Animation Types
* 🔄 Rotate - Object rotates around the Y-axis * ⬆️ Float - Object moves smoothly up and down * 💥 Explode - Object moves sideways * 🧩 Assemble - Object returns to its original position * 💓 Pulse - Object changes in size * 🔄 Swing - Object swings around the Z-axis
## 🛠️ How to Use
1. Upload your GLB model 📤 2. Select your desired animation type 🎬 3. Adjust the duration and FPS ⏱️ 4. Click the "Generate Animation" button ▶️ 5. Download your results 📥
## 💻 Technical Details
* Rendering system using trimesh and pyrender * Automatic fallback method for rendering failures to ensure stability * GIF generation supporting up to 60 frames
Breathe life into your static 3D models with this tool! 🚀 If you have any questions or feedback, please let us know. Happy 3D modeling! ✨
Hello AI researchers! 👋 Today I'm introducing a powerful chatbot implementation with real-time web search capabilities. ✨ Key Features
🧠 Chatbot based on qwen3-30b-a3b and llama4-maverick models 🔍 LLM-based optimal keyword extraction 🌐 Real-time web search using SerpHouse API 💬 Streaming responses for natural conversation experience
🛠️ Technology Stack
Gradio: Implementation of intuitive web interface Fireworks.ai API: Access to high-performance LLM models SerpHouse API: Collection of real-time search results
🌟 Application Areas
Question answering systems requiring up-to-date information Providing current information beyond training data Delivering reliable information with accurate sources
Add real-time search capabilities to your AI applications with this project! 🎉 Leave your questions or suggestions in the comments! Let's improve it together~ 💪 #LLM #ArtificialIntelligence #WebSearch #Gradio #DeepResearch #OpenSource
🔮 Mistral Perflexity AI - Local LLM Space with Web Search Capabilities 🌐 Hello AI enthusiasts! Today I'm excited to introduce my special Hugging Face space! 🚀
Powerful Model: Using Private-BitSix-Mistral-Small-3.1-24B-Instruct-2503, optimized through 6-bit quantization to run smoothly on local 4090 GPUs! 💪 Web Search Integration: Leveraging the Brave Search API to provide real-time web search results for user queries! 🔍 Customizable Responses: Shape AI personality and response format through system messages ⚙️ Multilingual Support: Perfect handling of both English and Korean! 🇺🇸🇰🇷
🛠️ Technical Highlights
GGUF Format: Optimized quantized model with excellent memory efficiency Flash Attention: Applied optimization technology for faster inference speeds 8K Context Window: Capable of handling lengthy conversations and complex queries Streaming Responses: Watch text being generated in real-time
💡 Use Cases
Complex Q&A requiring real-time information Programming assistance and code generation Multilingual content creation and translation Summarization and explanation of learning materials
🔧 Customization Adjust various parameters like Temperature, Top-p, Top-k, and repetition penalty to control response creativity and accuracy. Lower temperature (0.1-0.5) produces more deterministic responses, while higher values (0.7-1.0) generate more creative outputs!
🌟 Try It Yourself! This space is available for anyone to use for free. Experience the power of a robust local LLM combined with web search capabilities! Your feedback is always welcome! 😊
Hello, AI art enthusiasts! 💖 Today I'm introducing a special model - Pierre-Auguste Renoir Studio. Create your own beautiful artwork in the style of the 19th century French Impressionist master! 🖼️ ✨ Why Renoir's Style? Renoir is famous for his luminous colors and soft brushstrokes. His works feature:
🌞 Warm sunshine and dancing light 👨👩👧👦 The beauty of everyday life and joyful moments 🌸 Vibrant nature and portraits of beautiful women 🎭 Lively Parisian social gatherings and outdoor scenes
🔬 Technical Features This model was developed as a flux-based learning model trained on a curated collection of high-resolution masterpieces from renowned global artists. The LoRA fine-tuning process leveraged exceptional quality open-access imagery released by prestigious institutions including the Art Institute of Chicago. The resulting model demonstrates remarkable capability in capturing the nuanced artistic techniques and stylistic elements across diverse historical art movements! 🧠💫 🚀 How to Use
Describe your desired scene in the prompt box Add the "renoir" keyword at the end (this is the trigger keyword!) Click the 'Generate' button Enjoy your ideas reborn in Renoir's style!
💡 Recommended Prompt Examples
"Elegant ladies enjoying a picnic in a sunlit garden, wearing pastel dresses and hats renoir" "People boating by a riverbank, light reflecting on water, warmth of summer renoir" "Paris cafe terrace, people chatting over coffee, evening sunset renoir"
🌈 Now It's Your Turn! #AI#Renoir #ArtificialIntelligence#HuggingFace #FLUX #LoRA
🌟 Key Highlights Compact Size (14B parameters): Efficient for use in environments with limited computing resources, yet powerful in performance.
Extended Context (32k tokens): Capable of handling lengthy and complex input sequences.
Enhanced Reasoning: Excels at multi-step reasoning, particularly in mathematics, science, and coding challenges.
Chain-of-Thought Methodology: Provides a detailed reasoning process, followed by concise, accurate summaries.
🏅 Benchmark Achievements Despite its smaller size, Phi-4-reasoning-plus has delivered impressive results, often surpassing significantly larger models:
Mathematical Reasoning (AIME 2025): Achieved an accuracy of 78%, significantly outperforming larger models like DeepSeek-R1 Distilled (51.5%) and Claude-3.7 Sonnet (58.7%).
Olympiad-level Math (OmniMath): Strong performance with an accuracy of 81.9%, surpassing DeepSeek-R1 Distilled's 63.4%.
Graduate-Level Science Questions (GPQA-Diamond): Delivered competitive performance at 68.9%, close to larger models and demonstrating its capabilities in advanced scientific reasoning.
Coding Challenges (LiveCodeBench): Scored 53.1%, reflecting strong performance among smaller models, though slightly behind specialized coding-focused models.
🛡️ Safety and Robustness Comprehensive safety evaluation completed through Microsoft's independent AI Red Team assessments.
High standards of alignment and responsible AI compliance validated through extensive adversarial testing.
🎯 Recommended Applications Phi-4-reasoning-plus is especially suitable for: Systems with limited computational resources. Latency-sensitive applications requiring quick yet accurate responses.
📜 License Freely available under the MIT License for broad accessibility and flexible integration into your projects.
