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Intel's former CEO Pat Gelsinger collaborates with Gloo to launch the Flourishing AI (FAI) benchmark, evaluating AI models' alignment with human values. Based on Harvard's prosperity research, it covers 6 dimensions including virtues, relationships, and happiness, adding a unique 'faith & spirituality' category. The benchmark aims to guide AI development toward human well-being.....

Kunlun releases Skywork-R1V3.0, an open-source multimodal model achieving expert-level reasoning. It excels in physics (52.8), logic (59.7), and math (77.1), outperforming Claude-3.7-Sonnet and GPT-4.5 with only 25K training samples.....

In August 2024, iFlytek officially launched the Starfire Ultra Human-like Interactive Technology. Through end-to-end speech modeling and multi-dimensional emotional disentanglement training, it achieves three core breakthroughs: response speed, emotional resonance, and controllable speech expression. This technology can accurately detect emotional fluctuations in user speech and respond with appropriate tone in real time, while supporting dynamic adjustment of speech rate, voice, and character settings. It marks a significant leap from 'functional implementation' to 'emotional connection' in voice interaction. Currently, the Super Human-like Interactive API has been officially launched on the iFlytek Open Platform, allowing developers to access the technology at a low cost.

CASIC introduces Stream-Omni, a multimodal model supporting text, vision, and speech. It uses targeted alignment to reduce data dependency, excels in cross-modal tasks, and offers open-source resources.....

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.

In the new energy vehicle market, Xiaopeng Automotive has once again drawn attention. On July 3rd, the Xiaopeng G7 Ultra was officially launched, becoming the first intelligent vehicle equipped with the local-end "VLA+VLM" large model. This innovative technology marks an important step forward for Xiaopeng in the field of intelligent driving. The Xiaopeng G7 Ultra is equipped with the VLA (active thinking and rapid decision-making capability) large model, making the driving experience more intelligent. In daily driving, the G7 Ultra can flexibly handle various complex driving scenarios, such as in traffic.

Recently, an AI Excel assistant called Shortcut has sparked heated discussions on social media. It enables users to effortlessly complete Excel tasks without writing complex formulas or VBA code through natural language processing (NLP) technology. The AIbase editorial team has compiled the latest information from social media to provide an in-depth analysis of Shortcut's powerful features and its potential impact on the fields of data processing and financial modeling. Shortcut: An Excel Revolution Driven by Natural Language

Microsoft CEO Satya Nadella recently announced on a social platform that Microsoft has officially launched the revolutionary medical AI system MAI-DxO. This innovative system stands out with its unique "model-agnostic" design, allowing it to flexibly adapt to language models of different manufacturers and capabilities, thereby significantly improving their diagnostic performance. More excitingly, MAI-DxO is not only able to simulate the diagnostic process of real doctors, but also demonstrated diagnostic accuracy far exceeding that of professional physicians in tests, while greatly reducing the cost of medical diagnosis. Microsoft has released test data.

Tao Tian Group announced yesterday at its 'Hard-Core Youth Tech Festival 4.0' event that its independently developed hundred-billion-parameter recommendation large model, RecGPT, has officially gone live. This innovative achievement will comprehensively upgrade the 'You May Also Like' information flow on the mobile Taobao homepage, providing users with a more accurate and personalized recommendation experience through AIGR (Generative Recommendation) technology. The launch of RecGPT marks an important step forward for Taobao in the field of e-commerce recommendations. Test data shows that the recommendation feed equipped with the RecGPT large model performs excellently, with real user click-through rates

The TEN Agent team recently announced that its core models **TEN Voice Activity Detection (VAD)** and **TEN Turn Detection** are now open source, providing powerful technical support for building real-time, multimodal speech AI agents. This move marks a significant advancement in the TEN framework's efforts to promote the democratization and open-source collaboration of speech interaction technology. The following is the latest information compiled by AIbase, offering an in-depth analysis of these two core models.

Google DeepMind recently published a blog post, officially introducing the new Gemini Robotics On-Device localized robot AI model. The model uses a vision-language-action (VLA) architecture, enabling precise control of physical robots without cloud support. The biggest highlight of the new model is that it runs entirely locally on the robot device, achieving low-latency response capabilities. This feature makes it particularly suitable for environments with unstable network connections, such as critical application scenarios like medical facilities.