破られた証明書を除外できてるかのチェック方法 emudhra.we-have-a-problem.co… ↑を開いてこの表示しか出なければブラウザはセーフ 次に書かれてるcurlを実行して同じように繋がなければセーフ もしつながってしまったら...OSなどをすべてアップデートして

破られた証明書を除外できてるかのチェック方法 emudhra.we-have-a-problem.co… ↑を開いてこの表示しか出なければブラウザはセーフ 次に書かれてるcurlを実行して同じように繋がなければセーフ もしつながってしまったら...OSなどをすべてアップデートして

🚨 BREAKING NEWS: GLM 5.4 or 5.5, possibly GLM Omni!! Zhipu AI & Tsinghua Redefine Multimodal Intelligence with Groundbreaking Unified Memory Research! 🚨 Once again, the team at Z.AI (Zhipu AI) and Tsinghua University is proving why they are setting the gold standard and leading the open-source AI revolution from the frontlines. In a newly released landmark paper—authored by Wenkai Li, Wenyi Hong, Zhuoyi Yang, and Jie Tang—the team answers one of the most critical questions in next-generation frontier architectures: "Can Visual Generation Expand What Unified Multimodal Models Know?"  🔗 Paper Link: arxiv.org/abs/2610.21459 📰 THE DISCOVERY: Bridging the "Modal Aphasia" Gap Traditional AI treats visual generation as a downstream aesthetic output. Z.AI flips the script, demonstrating that image generation is actually a primary knowledge channel that expands the model's core latent memory.  Using a rigorous new benchmarking protocol called Knowledge Transfer Probing (KTP), the researchers taught models entirely new factual concepts strictly through image generation tasks.  While models initially exhibited "modal aphasia"—the fascinating phenomenon where a model can draw a complex concept perfectly in pixels but struggle to articulate it in pure text—the Z.AI team uncovered the exact blueprint to solve it:  1. Interleaved Image-Text Alignment: Integrating generation, visual observation, and textual reasoning into a single fluid token stream doesn't just improve recall—it more than doubles text-based QA accuracy (boosting benchmark scores from 12.57% to 26.86% on GLM-Omni)! 2. Implicit Cross-Entity Generalization: Training the model on a small subset of visual entities bootstraps recall across entirely unseen entities in the same category without ever needing direct QA supervision. 🏆 WHY Z.AI CONTINUES TO LEAD OPEN SOURCE While other labs keep their foundational research behind locked doors, Z.AI and Tsinghua continue to publish real, fundamental breakthroughs in the open. By treating generation and understanding as a single, mutually reinforcing cognitive loop, they aren't just building models—they are writing the roadmap for true native multimodality.  Huge congratulations to Wenkai Li, Wenyi Hong, Zhuoyi Yang, and Jie Tang for another masterclass in open science and architectural innovation! The GLM lineage continues to show the entire industry where foundation models are heading next 🚀⚡️ @Zai_org really need @MiaAI_lab and @ashxhart @JoshuaSWarren @petruspennanen to get some early access to GLM Omni for zero day support for Sparks and Mac Studios!!! #AI #MachineLearning #GLM #OpenSource #DeepLearning #ZhipuAI #Multimodal #arXiv

私をAIモデルに例えると「GPT-5.6 Luna」でした！ これギリ誹謗中傷だろw 直近10件のポストがスペースの返信だったので正確ではあるがw #あなたをAIモデルに例えると ai.tatoe.top/m/gpt-5.6-luna

Create from scratch a fully interactive 3D scene of a pirate ship sailing across a dynamic ocean at sunset. The visual style should be cinematic and stylized rather than photorealistic, while still being exceptionally rich, detailed, polished, and visually sophisticated. Build the ship, ocean, sky, lighting, materials, sails, rigging, cannons, small structural details, sea foam, wake, particles, animation, camera work, composition, atmospheric depth, and color grading. The final result should feel like a premium, high-production 3D artwork, not a prototype, technical demo, or low-quality scene. Start from a completely blank page. Do not reuse or depend on any previous project or scene. You may create the assets yourself or use reliable, trusted, open-source assets and libraries when necessary. Mandatory requirements: No text of any kind may appear anywhere inside the scene. No titles, names, logos, descriptions, credits, labels, or control instructions in any language. Deliver the entire project as one final standalone page file that can be opened directly in a web browser, with assets embedded inside it as much as reasonably possible. The ocean, ship, sails, and camera must all be animated naturally and smoothly. Avoid artificial slow motion or sluggish movement. The ship should feel like it is genuinely moving through the water. Do not rely on primitive geometric shapes as the finished result. Build a visually convincing and detailed pirate ship, including a carefully shaped hull, masts, sails, rigging, ropes, cannons, railings, lanterns, deck structures, and clearly visible small-scale details. Lighting must reveal the ship's geometry and materials clearly. Create a rich sunset atmosphere, deep ocean shading, reflections, convincing sea foam, and a detailed sailing wake behind and around the vessel. Maintain a strong balance between visual quality and real-time performance, preserving smooth interaction and animation without making an obvious sacrifice in quality. Automatically use the most appropriate skills, tools, libraries, techniques, and available assets needed to achieve the best result. Do not wait for me to specify which technologies to use. Actually test the finished result in a desktop web browser. Capture visual screenshots, inspect the browser console for errors, and fix every visible or technical issue you find, including distorted geometry, black screens, failed asset loading, broken animation, poor composition, rendering artifacts, or camera problems. At the end, verify that the final file opens and works directly, that the scene contains no text whatsoever, and that there are no remaining runtime or loading errors. Then finish the task with only a brief response.