Moonshot AI has released Kimi K2.5 as an open source visual agentic intelligence model. It combines a great mix of an expert language backbone, a native vision encoder, and a …
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Open source AI model provider Allen Institute for AI on Tuesday launched a new family of open coding agents that enable enterprise developer teams to train small, open models on …
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AI News
NVIDIA Revolutionizes Climate Tech with ‘Earth-2’: The World’s First Fully Open Accelerated AI Weather Stack
For decades, weather forecasting has been the exclusive domain of giant government supercomputers running complex physics-based equations. NVIDIA has broken that barrier with the release of Earth-2 family of open …
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AI News
Kwen Researchers Release Kwen3-TTS: An Open Multilingual TTS Suite with Real-Time Latency and Micro-Voice Control
Alibaba Cloud’s Quen team has the open-source Quen3-TTS, a family of multilingual text-to-speech models that target three core functions in a stack, voice clone, voice design, and high-quality speech generation. …
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You might have seen an artificial intelligence system derail. You ask for a video of a dog and as the dog runs behind the love seat, its collar disappears. Then, …
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Generative AI
Google AI releases TranslateGemma: a new family of open translation models built on Gemma 3 with support for 55 languages
Google AI has released TranslateGemma, a suite of open machine translation models built on Gemma 3 and targeted at 55 languages. The family comes in 4B, 12B and 27B parameter …
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AI Tools
Google AI releases MedGemma-1.5: the latest update of their open medical AI model for developers
Google Research has expanded this Health AI Developer Foundation Program (HAI-DEF) with the release of Medjemma-1.5. This model is released as an open starting point for developers who want to …
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Quantum error correction on hexagonal lattice in our willow In architecture, each physical orbit is connected to its four nearest neighbors, forming a Social class forged. This arrangement of connections …
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AI Tools
Meet SETA: open source training reinforcement learning environment for terminal agents with 400 tasks and CAMEL toolkit
What does the end-to-end stack look like for terminal agents when you combine structured toolkits, synthetic RL environments, and benchmark aligned evaluations? A team of researchers from CAMEL AI, Eigent …
