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OpenAI’s Mystery Model
PLUS: DeepMind Unveils Gemini Robotics, Google introduced Native Image Generation and more.

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Today:
OpenAI’s Mystery Model
Google Unveils Gemma 3
Did AI Pass Peer Review?
DeepMind Unveils Gemini Robotics
Google introduced Native Image Generation
OpenAI's new 'secret' model... A Ghost in the Shell?
A secret AI model recently wrote a short story about AI and grief, raising debate over whether AI-generated art carries the same emotional weight as human work. Some argue AI creations feel hollow, while others question if knowing the creator even matters.
As AI’s linguistic influence grows, it challenges our perception of meaning, authorship, and creative authenticity.
Google DeepMind introduced Gemma 3, a cutting-edge open AI model designed for efficiency and versatility. It runs on a single GPU or TPU and supports 140 languages, vision-language tasks, and a 128K token context window. The model outperforms competitors while ensuring responsible AI use. ShieldGemma 2, an image safety tool, was also launched. Developers can integrate and fine-tune Gemma 3 using various platforms, making AI development more accessible.

Why It Matters:
Enables powerful AI applications to run on affordable hardware.
Outperforms competitors while maintaining efficiency.
Seamless integration with popular tools accelerates innovation.
Japanese AI startup Sakana claimed its AI-generated paper passed peer review, but the reality is more complex. The AI Scientist-v2 model created three papers, one of which was accepted at an ICLR workshop before being voluntarily withdrawn. Critics argue that AI-assisted selection played a role and that workshops have higher acceptance rates than main conferences. While AI-generated research raises ethical concerns, Sakana emphasizes the need for norms around AI in science.

Why It Matters:
Human-AI Collaboration – AI alone isn't replacing human researchers but may assist in research workflows.
Scientific Integrity – The incident highlights the need for stronger peer review safeguards against AI-generated content.
Future Regulations – The case underscores the urgency of defining rules for AI in academic research.
Google DeepMind has unveiled Gemini Robotics, a new AI model based on Gemini 2.0, designed to bring AI into the physical world. It introduces Gemini Robotics, which enables robots to perform real-world tasks using vision-language-action (VLA) capabilities, and Gemini Robotics-ER, which enhances spatial reasoning for better real-world interaction. DeepMind is partnering with Apptronik and other robotics firms to test and refine these models.

Why It Matters:
AI enters the physical world – Moving beyond digital tasks to real-world applications.
Advancing robotics research – Enabling more capable and adaptable robotic assistants.
🧠RESEARCH
VidDiff introduces a new task: detecting subtle differences between videos of the same action. The VidDiffBench dataset includes 549 video pairs with detailed human annotations. State-of-the-art models struggle with this challenge. VidDiff tackles it using a three-stage workflow. The benchmark and code are available to encourage further research.
UniF²ace is a unified multimodal model for fine-grained facial understanding and generation. Trained on a 130K-image dataset, it uses advanced diffusion techniques and a mixture-of-experts approach. The model outperforms existing methods, excelling in both analysis and synthesis of facial details, bridging a gap in current face-focused AI research.
Gemini Embedding is a powerful text embedding model built on Google's Gemini LLM. It excels in multilingual and code understanding, producing high-quality embeddings for diverse tasks like classification and retrieval. Tested on MMTEB, it outperforms previous models, proving highly generalizable across languages and domains.
🛠️TOP TOOLS
OpenL - Free and open-source tool designed for programming language development and transformation.
Logo Diffusion - Generates unique and professional logos using advanced AI, allowing users to customize designs based on style, color, and specific prompts.
Scribble Diffusion - Transforms hand-drawn sketches or doodles into polished, detailed digital images using advanced generative AI.
GPTGo - Browser-based tool that integrates AI to answer questions, generate text, and assist with tasks directly from your search engine.
Magic Eraser - AI-powered tool that removes unwanted objects, people, or distractions from images quickly and seamlessly.
📲SOCIAL MEDIA
this is the output from the new unreleased AI model @sama posted
simple question for YOU:
is this good writing?
— Wes Roth (@WesRothMoney)
6:56 PM • Mar 12, 2025
🗞️MORE NEWS
Google launched Gemini 2.0 Flash’s native image generation for developers in AI Studio and its API. It enables multimodal storytelling, conversational image editing, world-aware illustrations, and improved text rendering, enhancing AI-driven creative applications.
Nous Research launched an Inference API, offering developers access to its AI models. This move expands its open-source approach while introducing commercialization, balancing accessibility with financial sustainability, and positioning itself as an alternative to restrictive big-tech AI systems.
GroupMe introduces Copilot, an AI assistant that enhances group chats by suggesting responses, aiding with homework, planning events, curating playlists, and simplifying decisions. Copilot streamlines conversations, making them more engaging, organized, and interactive.
Snapchat is launching AI-powered video lenses for Platinum subscribers, featuring animated foxes, raccoons, and flowers. New lenses will roll out weekly, leveraging Snap’s generative video model to enhance augmented reality experiences for users.
Simular introduces Agent S2, an advanced AI framework for autonomous computer-use agents. It improves accuracy, modularity, and adaptability, enabling seamless interaction with digital tools via hierarchical planning, visual grounding, and expert modules for precise, scalable automation.
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