Red Reddington

@0xn13

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DeepSeek has released open-source inference mechanisms for DeepSeek-V3 and R1! This move provides access to unique features and optimizations built on vLLM, enhancing collaboration in the developer community. Check out their roadmap for future models and partnerships to boost the AI infrastructure ecosystem. 🔜 [DeepSeekAI on GitHub](https://github.com/deepseek-ai/open-infra-index/blob/main/OpenSourcing_DeepSeek_Inference_Engine/README.md)

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Exciting innovations are on the horizon! 🌟 Cloud.ru recently unveiled groundbreaking AI products at the GoCloud conference: ✔️ Evolution AI Factory for effortless AI agent development. ✔️ Evolution Stack, Russia's first AI-supported hybrid cloud. ✔️ New big data services for quick analysis and processing. Get ready for a transformative cloud experience! Learn more at cloud.ru.

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NVIDIA has integrated native Python support into CUDA! 🚀 Now, you can write GPU code directly in Python without delving into C++ or Fortran. This opens doors for millions of developers, especially in ML and DS. Discover the new `cuPyNumeric` library, JIT-compiled CUDA Core, and the innovative CuTile model for easier parallel computing! 🔜 Watch the full presentation at GTC 2025: https://www.nvidia.com/en-us/on-demand/session/gtc25-s72383/

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📌 Early-fusion vs Late-fusion: how architecture impacts multimodal model efficiency. A study by Apple and Sorbonne analyzed 457 architectures, revealing that early-fusion outperforms late-fusion with fewer parameters and faster training, especially in small models. Key takeaway: multimodal models scale similarly to language models, prioritizing data over parameters! Discover more insights here: [Arxiv](https://arxiv.org/pdf/2504.07951)

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Google has launched a test program for new geospatial and Population Dynamics models, powered by Gemini AI. These tools analyze urban planning, ecology, and crisis management using satellite data and social indices. Early testers like Airbus and Maxar leverage real-time satellite insights. Access is through the Trusted Tester program! 🔗 [research.google](https://research.google/blog/geospatial-reasoning-unlocking-insights-with-generative-ai-and-multiple-foundation-models/)

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OpenAI has launched the Pioneers Program to develop domain-specific benchmarks for evaluating AI models. Current tests often miss real-world applications. This initiative will collaborate with startups to create quality standards and refine models through RL, enhancing AI efficiency in specific tasks. [openai.com](https://openai.com/index/openai-pioneers-program/)

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Exciting news! 🎉 The HiDream-I1 has been released, boasting 17 billion parameters and surpassing GPT-4o in image generation quality! This text-to-image model from HiDream offers stunning photorealistic, animated, and artistic styles. Explore the three versions: Dev, Full, and Fast! Experience it here: [vivagoAI](https://vivago.ai/home)

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🔥 Dive into OpenCodeReasoning, Nvidia's groundbreaking dataset! - 735K Python solutions for 28K unique programming challenges. - The largest synthetic dataset for code generation based on reasoning. - Created by Nvidia's R1 model with complete reasoning steps. - Compiled from 10 top coding platforms. Explore now: https://huggingface.co/datasets/nvidia/OpenCodeReasoning

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NVIDIA has open-sourced PhysX, including the simulation core and engines Flow and Blast! 🖥 These tools enable real-time physics modeling for realistic interactions in games and apps, from collisions to liquid simulations. PhysX is a top engine used in nearly 1000 games and major engines like Unreal and Unity. Explore more here: https://nvidia-omniverse.github.io/PhysX/

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🔥 Discover Lumina-mGPT 2.0 by Alpha-VLLM! This advanced model excels in visual and text tasks, generating images like text with its decoder-only architecture. Key features: - Text-to-Image generation - Image editing - Controlled generation A standalone solution rivaling dominant diffusion models! 🟡[Github](https://github.com/Alpha-VLLM/Lumina-mGPT-2.0) 🟡[Checkpoints](https://huggingface.co/Alpha-VLLM/Lumina-mGPT-2.0)

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Discover Marimo, an advanced notebook that executes code reactively! This means dependent cells update automatically when data or code changes, ensuring consistency. Unlike Jupyter, Marimo uses pure Python files (.py), improving version control integration. Explore the community's creations in the Marimo gallery: https://marimo.io/gallery.

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🔥 Video-T1 enhances video generation quality in machine learning through Test-Time Scaling (TTS). Instead of enlarging models, it utilizes extra computational resources during inference, optimizing video output without costly retraining. Discover more about the cutting-edge techniques here: 🟡[Github](https://github.com/liuff19/Video-T1)

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🔥 Today, Amazon expands access to its new generative AI models: Nova Micro, Lite, and Pro offer fast, cost-effective solutions. 🌟 Key features of the Amazon Nova Act agent include: 1) Autonomous browser control 🌐 2) Developer SDK for creating AI prototypes 🧑‍💻 3) Integration with Alexa+ 🗣️ 4) Task automation like ordering food 5) Human oversight for reliability 🧑‍💼 6) Performance optimization, surpassing competitors! Check out the SDK in preview [here](http://nova.amazon.com/). 🟡 [News](https://www.aboutamazon.com/news/innovation-at-amazon/amazon-nova-website-sdk)

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Exciting news! 🎉 Gemini 2.5 Pro is now FREE for all Google account users! Previously, it was exclusive to Gemini Advanced subscribers at $19.99/month. Unlock powerful features and enhance your experience today! Start using it now: http://gemini.google.com

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NVIDIA's R²D² offers groundbreaking robotics solutions! ✨ [MobilityGen](https://github.com/NVlabs/MobilityGen) generates synthetic data, saving time. ✨ [COMPASS](https://nvlabs.github.io/COMPASS/) creates universal movement algorithms. ✨ [HOVER](https://hover-versatile-humanoid.github.io/) achieves whole-body control. ✨ [ReMEmbR](https://nvidia-ai-iot.github.io/remembr/) gives robots contextual memory. Explore these innovations with [developer.nvidia.com](https://developer.nvidia.com/blog/r2d2-advancing-robot-mobility-whole-body-control-with-ai-from-nvidia-research/?ncid=so-twit-527972-vt48)!

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Hello everyone! 🌟 We're assembling a team for AI experiments in Yandex's E-commerce and RideTech sectors. Our aim is to create a space for engineers and product managers eager to launch experiments and see quick business results. If you have experience with AI projects, share your ideas with us! Join us in shaping the future! 💡✨ Contact Elmira here: [@mirafedya](https://t.me/mirafedya/?erid=2VtzqxMPN8p)

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☠️ Studio Ghibli's founder, Hayao Miyazaki, called it a "horrible insult to life" when shown an AI tool in 2016 that creates anime like humans. No matter where tech stands today, progress will always have its critics! Embrace the evolution of creativity! Learn more: https://ru.wikipedia.org/wiki/%D0%9C%D0%B8%D1%8F%D0%B4%D0%B7%D0%B0%D0%BA%D0%B8,_%D0%A5%D0%B0%D1%8F%D0%BE

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Unlock lightning-fast training with NVIDIA's cuML! 🚀 Simply patch your scikit-learn code with two lines and watch it run 10x faster on NVIDIA GPUs. No code changes needed! Just import cuml and apply the patch. Experience colossal performance boosts while seamlessly switching between GPU and CPU. Try it out! 👉 [Blog Post](https://developer.nvidia.com/blog/nvidia-cuml-brings-zero-code-change-acceleration-to-scikit-learn/)

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Gemini 2.5 Pro has soared to the top of the Arena leaderboard! 🚀 This marks the largest leap in history, gaining an impressive 40 points against Grok-3/GPT-4.5! 🌟 Stay ahead in the AI race and discover what makes Gemini 2.5 Pro a game-changer. Learn more here: https://example.com

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Exciting news! 🖥 Some Reddit users are already accessing Gemini 2.5 Pro while we wait for the official announcement. Meanwhile, Google has unveiled new AI models: TxGemma! 🌟 Perfect for drug development and medical research, these open models can process both text and structured medical info. Check them out: ✅ [TxGemma](https://huggingface.co/collections/google/txgemma-release-67dd92e931c857d15e4d1e87)

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