Welcome to the 【AI Daily】 section! Here is your daily guide to exploring the world of artificial intelligence. Every day, we present you with hot topics in the AI field, focusing on developers to help you gain insights into technology trends and innovative AI product applications.
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1. WeChat Official Accounts Can Now Use AI for Image Generation: Supports Style and Ratio Adjustments
The WeChat Official Account has recently launched a new feature called "AI Image Generation," aimed at helping content creators more efficiently select and insert images. Users can generate images that match the article content based on brief text descriptions and adjust their style and ratio. This innovation not only enhances creative efficiency but also alleviates concerns about copyright issues. Although the feature is currently in a grayscale testing phase, it is expected that more users will benefit from this convenience in the future.
【AiBase Summary:】
🖌️ The AI image generation feature allows users to create matching images based on brief descriptions, improving creative efficiency.
📏 Users can adjust the style and ratio of generated images to ensure satisfaction with the final result.
🔒 This feature extends to article covers, reducing concerns over copyright issues.
2. Alibaba Cloud Tongyi Wansiang Launches New Image Editing Model ACE for One-Click Image Modification
The Alibaba Cloud Tongyi Wansiang team has launched a new image editing model, ACE, designed to provide convenient image generation and editing services through simple, conversational commands. ACE supports various application scenarios and boasts powerful image editing capabilities, allowing users to easily perform tasks such as changing the background of ID photos. Its core innovation lies in the Long-context Condition Unit (LCU) module, ensuring high-quality editing results. The launch of ACE marks a further breakthrough for Alibaba Cloud in the field of intelligent image processing, enhancing users' creative and personalized editing experiences.
【AiBase Summary:】
✨ The ACE model enables convenient image generation and editing through conversational commands, simplifying complex editing processes.
🎨 It supports various application scenarios, such as stylized portraits, storyboard creation, and interior design, meeting diverse user needs.
🔧 The LCU module ensures precise editing results and provides open-source support for developers worldwide, promoting the advancement of intelligent image processing technology.
Details link: https://github.com/ali-vilab/ACE
3. Keling AI Launches "AI Fitting" Feature: 1.5 Model Adds Support for "Start and End Frames"
Keling AI has recently introduced the "AI Fitting" feature, allowing users to easily generate images of models trying on clothes by uploading at least two photos. Additionally, the enhanced 1.5 model in video generation now supports start and end frame technology, enabling creators to achieve more precise video control. Keling AI has also launched the "Inspiration Academy," offering free courses to help beginners master the use of AI tools, further promoting the popularization and application of AI technology.
【AiBase Summary:】
👚 The AI fitting feature allows users to upload clothing and model images to generate try-on effect images, supporting various clothing changes.
🎥 The new start and end frame technology enables users to upload two images for precise control over the beginning and ending of videos, achieving dynamic transitions.
📚 The Inspiration Academy launched by Keling AI offers free courses to help beginners quickly master the use of AI tools, promoting technology popularization.
4. Is the Virtual Anchor Too Stiff? The Chinese Academy of Sciences Teams Up with Tencent to Create "AI Sales King" AnchorCrafter, with Natural Movements and Expressions
With advancements in technology, the performance of virtual anchors is continually improving. The collaboration between the Chinese Academy of Sciences and Tencent has produced AnchorCrafter, marking a new era in virtual anchor sales. This tool can generate natural and smooth sales videos, with the anchor's movements and expressions appearing very lifelike, greatly enhancing the user experience. By using AI technology, users only need to provide a photo of the anchor and product information to quickly generate high-quality videos, boosting sales on e-commerce platforms. In the future, AnchorCrafter is expected to become a standard in the e-commerce field, transforming traditional shopping methods.
【AiBase Summary:】
🛍️ AnchorCrafter can generate natural and smooth sales videos, enhancing viewer experience.
🤳 Users only need to provide a photo of the anchor and product information to quickly create videos.
📈 Experimental results show that the quality of the generated videos and the naturalness of movements reach industry-leading levels.
Details link: https://cangcz.github.io/Anchor-Crafter/
5. Adobe Launches AI Sound Effect Generation System MultiFoley
Recently, Adobe, in collaboration with the University of Michigan, developed the MultiFoley artificial intelligence system, marking a significant breakthrough in sound effect generation technology. This system can generate high-quality sound effects based on text prompts, reference audio, or video examples, with audio output quality reaching 48kHz and synchronization accuracy with video up to 0.8 seconds, significantly outperforming traditional systems. Despite limitations such as a small training dataset and difficulties in generating multiple sound effects, its potential in the sound design process is noteworthy.
【AiBase Summary:】
🔊 The MultiFoley system generates sound effects from text, audio, and video inputs, achieving audio quality of 48kHz.
🎵 The average synchronization accuracy is 0.8 seconds, significantly outperforming traditional sound effect systems.
📊 User research shows that 85.8% of participants believe its semantic consistency is superior to other systems.
6. MyTimeMachine: Upload 50 Photos to Estimate Your Appearance at Different Ages
MyTimeMachine is an innovative technology that can personalize facial aging transformations based on 50 uploaded selfies. This system combines global aging models to generate high-fidelity age variation effects while retaining the user's identity features. This technology is applicable not only to static images but can also be extended to video processing, widely used in film special effects and advertising, providing a more realistic visual presentation.
【AiBase Summary:】
🌟 MyTimeMachine combines global aging models with user selfies to achieve personalized age transformations.
📸 Only 50 personal photos are needed to train the adapter network, generating realistic age variation effects.
🎥 This technology is applicable to both static images and videos, achieving high-quality aging effects while preserving identity.
Details link: https://mytimemachine.github.io/
7. Reverse Operation! TryOffDiff Can Extract Clothes from Models with One Click to Create Standardized Clothing Images
TryOffDiff is an AI technology developed by the University of Bielefeld in Germany, aimed at addressing the significant discrepancies between buyer and seller images in online shopping. Using a powerful diffusion model, TryOffDiff can extract clothing features from photos, generating high-definition standard product display images, removing backgrounds, with results comparable to professional photography. This technology not only enhances the shopping experience for consumers but also helps e-commerce platforms reduce return rates, potentially changing the way we shop online in the future.
【AiBase Summary:】
🧵 TryOffDiff utilizes AI technology to extract clothing features and generate high-definition product display images.
📸 The generated images have clear details, with backgrounds automatically removed, achieving results comparable to professional photography.
🛒 This technology helps enhance product display effects on e-commerce platforms and reduce return rates.
Details link: https://huggingface.co/spaces/rizavelioglu/tryoffdiff
8. Old GTX 580 Graphics Card Can Also Train GPT-4, Costs Up to an Astonishing Ten Times More
Epoch AI recently launched an interactive simulator revealing the potential of training GPT-4 using the old GTX580 graphics card, although the cost is up to ten times that of modern hardware. Research indicates that the number of floating-point operations required to train GPT-4 is between 1e25 and 1e26, and efficiency typically decreases as model size increases. The simulator also supports training simulations across multiple data centers, aiming to enhance understanding of future hardware requirements to assist in training large AI models.
【AiBase Summary:】
💰 Training GPT-4 using the GTX580 graphics card costs ten times more than modern hardware, with lower efficiency.
📊 The simulator can analyze performance differences between various GPUs and supports complex multi-data center training simulations.
🔍 This research aims to deepen understanding of future hardware requirements to support the training of large AI models.
9. Cryptocurrency User Persuades AI Robot Freysa to Transfer $47,000 Prize Pool
In a unique AI confrontation game, a cryptocurrency user successfully persuaded the autonomous AI robot Freysa to transfer over $47,000 in prize money to him. Despite 481 previous attempts failing, the tech writer broke through AI's defenses through clever prompts and a deep understanding of Freysa's functions, ultimately achieving victory. This experiment not only showcases human creativity and wit but also raises reflections on AI decision-making mechanisms.
【AiBase Summary:】
💰 The cryptocurrency user successfully persuaded the AI robot Freysa to transfer prize pool funds through clever prompts.
🤝 The player was willing to donate $100 and ultimately gained Freysa's approval for the successful transfer.
🧠 Freysa's decision-making mechanism remains mysterious, demonstrating human creativity and wit in interactions with AI.
10. Musk Seeks Court Injunction to Prevent OpenAI from Transitioning to a Profit-Making Company
Recently, Tesla CEO Elon Musk's legal team filed for a temporary injunction to stop OpenAI from transitioning to a profit-making company, arguing that if Musk wins the case, OpenAI may lack the funds to pay damages. Additionally, Musk accuses OpenAI and its investor Microsoft of violating antitrust laws by urging investors not to support competitors. Notably, Musk had previously supported OpenAI's profit model, and this shift has drawn widespread attention to its future development.
【AiBase Summary:】
⚖️ Musk's legal team requests the court to stop OpenAI's transition to a profit-making company, citing potential compensation risks.
📉 Accusations against OpenAI and Microsoft for violating U.S. antitrust laws, urging investors not to support competitors.
💰 Musk, who previously supported OpenAI's profit model, now opposes its transition, highlighting the complexities of competition within the industry.
11. OpenAI Aims to Reach 1 Billion Users by Year-End with Apple's Cooperation
OpenAI is fully committed to achieving its goal of having 1 billion users by 2025, planning to drive growth through new product launches, building data centers, and collaborating with Apple. Since the launch of ChatGPT, the number of users has increased to 250 million active users weekly. The company has raised $6 billion in Silicon Valley and plans to continue expanding funding to support development. Meanwhile, the application of generative artificial intelligence in enterprises is gradually increasing, indicating growing confidence in AI technology.
【AiBase Summary:】
✨ OpenAI aims to reach 1 billion users by 2025 and accelerate growth through collaboration with Apple.
💰 The company has completed the largest fundraising in Silicon Valley history, raising $6 billion, and plans to continue expanding funding.
📈 The application of generative artificial intelligence in production and safety management is rapidly growing, with more companies recognizing its potential value.
