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Willow, a voice OS startup, raised $4.2M in angel funding for R&D. Its TNT tech combines deep learning & NLP to precisely parse complex commands. The pivoted medical team iterated 10x before focusing on voice. Competing with giants, Willow adopts open-source modular strategy with API plans. Challenges remain in multilingual support & privacy.....

ByteDance's AI coding tool TRAE upgrades to 2.0 with enhanced coding, voice interaction, and multi-modal support, integrating Claude/DeepSeek models for Copilot-like functionality.....

AI voice input platform Willow Voice raised $4.2M in angel funding from Y Combinator. Its tool converts speech to text in real-time for macOS, with features like terminology recognition and privacy protection. Funds will boost R&D and cross-platform expansion.....

Mistral releases open-source audio model Voxtral, offering cost-effective AI solutions with multilingual support. Three versions available, starting at $0.001/min. Outperforms Whisper at lower cost.....

xAI launches Grok Voice for Web with 5 voice options (Ara/Rex/Eve/Sal/Gork) and screen sharing, expanding from mobile to web for better office use. Despite early bugs, unique features give it a competitive edge. Basic functions are free; premium may require subscription. Future plans include coding models and video capabilities.....

Meta acquires AI voice startup Play AI to enhance its voice synthesis tech, aligning with AI avatars and wearables. The move reflects Meta's AI push amid rising demand for voice interaction.....

Meta acquires the voice AI startup Play AI to enhance its voice technology capabilities in areas such as AI avatars and wearable devices. The Play AI team will join Meta as a whole, and their natural speech generation technology is highly compatible with multiple Meta AI projects. This is another important move by Meta in the AI field. Previously, it had recruited talent from OpenAI and partnered with Scale AI. The transaction amount was not disclosed.

At the 2025 World Artificial Intelligence Conference, it was revealed that Shanghai has filed 82 large models and is actively promoting AI demonstration applications in key industries such as manufacturing and finance. Xuhui Moshu Space and Pudong Moli Community have become industrial carriers, gathering 500 and 200 AI companies respectively. Shanghai has established a full-cycle financing support system from the early stages to the mature stage through national and municipal artificial intelligence funds, with a focus on key areas such as computing power and language data.

Aliyun open-sources the network agent WebSailor. Its 32B and 72B versions performed well in the BrowseComp evaluation, surpassing multiple closed-source models, ranking just behind OpenAI DeepResearch. The project has been released on GitHub with construction plans and datasets, promoting open innovation in the AI field and providing developers with a smarter web interaction tool.

Musk announces Grok4 AI model launch on July 11, sparking debates on AI ethics due to controversial 'politically incorrect' responses. New rules require multi-source analysis and evidence-based disputes.....

OpenAI plans to launch GPT-5 this summer, integrating multiple model capabilities. The new version combines reasoning of 'O-series' and GPT's multimodal advantages for enhanced performance. It aims to simplify user experience by eliminating model switching. GPT-5 will boost functionality and usability, though exact release timing remains unclear.....

China's smart speaker market rebounded in 618 2025, with online sales reaching 802K units (+7.5% YoY) and revenue up 15.2%. AI model adoption (36.8% products) drove growth. Xiaomi and Baidu's new models led innovation in voice interaction. The market revival after 4-year slump signals sustained AI-driven expansion.....

Recently, a research team from Renmin University, Shanghai Artificial Intelligence Laboratory, University College London, and Dalian University of Technology revealed an important finding in the reasoning process of large models: when the model is thinking, the 'thinking words' it uses actually reflect a significant increase in its internal information. This research result provides a new perspective for better understanding the reasoning mechanisms of artificial intelligence through methods of information theory. You may have seen large models output some language that seems human-like when answering questions, such as "Hmm..." or "Let me think...".

Recently, the French AI laboratory Kyutai announced the official open source of its new text-to-speech model, Kyutai TTS, providing global developers and researchers with a high-performance, low-latency speech synthesis solution. This breakthrough release not only promotes the development of open-source AI technology but also opens up new possibilities for multilingual voice interaction applications. AIbase provides an exclusive analysis of this technological highlight and its potential impact. Ultra-low latency, a new experience in real-time interaction. Kyutai TTS has become an industry standout with its exceptional performance.

In the field of artificial intelligence, reward models are a critical component for aligning large language models (LLMs) with human feedback, but existing models face the issue of "reward hacking." These models often focus on superficial features, such as the length or format of responses, rather than identifying genuine quality metrics, such as factual accuracy and relevance. The root cause lies in standard training objectives failing to distinguish between spurious associations and true causal drivers present in the training data. This failure leads to fragile reward models (RMs), which generate misaligned policies.

According to KPMG China's recent report, "The First 50 Health Tech Companies," China accounts for more than 70% of the global release volume of medical large models. This data not only demonstrates China's rapid development in the field of intelligent healthcare, but also reflects the wide application of large language models in the healthcare industry. The report points out that about 65% of the currently released medical large models are large language models. These models can process and generate natural language, playing a significant supporting role in the analysis of medical data, patient communication, and scientific research.