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xAI recently unveiled its new language model, Grok3Mini, further advancing efficient AI technology. Designed for speed and affordability, Grok3Mini, despite its smaller size, outperforms many more expensive AI models across various domains, particularly excelling in math, coding, and scientific benchmarks. Grok3Mini: The perfect balance of high performance and low cost. Grok3Mini is part of the Grok3 series, which includes six variants, including the standard Grok3.

Lantu Auto announced that its self-developed AI voice dialogue system will be officially launched in the first half of 2025 and integrated into its upcoming new models. The system boasts an extremely fast response time of less than one second for all operations, ensuring a smoother user experience for voice-controlled vehicle functions. Furthermore, it features over 98% wake-up recognition accuracy, enabling precise command recognition. With continued technological advancements, Lantu Auto plans a large-scale OTA (Over-the-Air) update in the second half of 2025.

AI startup Moondream has officially announced the completion of $4.5 million in seed funding and presents a disruptive viewpoint: in the world of AI models, smaller models may hold advantages. The company is backed by Felicis Ventures, Microsoft's M12 GitHub Fund, and Ascend, launching a visual language model with only 1.6 billion parameters that can compete with models four times its size in terms of performance.

Researchers from MIT and Google have collaborated to develop StableRep technology, which trains detailed and efficient AI image models using AI-generated images. StableRep employs multi-positive contrastive learning methods and trains on millions of labeled synthetic images, achieving significant results in ImageNet classification. Despite its success, StableRep's image generation is relatively slow, suffers from semantic mismatch issues, and requires the underlying model to be initially trained on real data. The technology has been open-sourced on GitHub.