Xiaopeng G7 Ultra Makes a Grand Debut! Revolutionary Intelligent Driving Large Model Unveiled

Google Launches New Veo 3 Video Generation Model Globally

Google announced the global launch of its latest video generation model, Veo3. This long-anticipated release has generated great excitement among users, as Veo3 is now available to Gemini users in over 159 countries, offering a new video creation experience. The key feature of the Veo3 video generation model is its ability to generate videos up to eight seconds long based on simple text prompts. According to Google, this technology is designed for creative users, especially those on social media who increasingly demand short-form content.

Cluely doubles its annual recurring revenue to $7 million within a week

The fast-growing startup Cluely in Silicon Valley recently announced that its annual recurring revenue (ARR) has rapidly surged to about $7 million after launching a new enterprise product. This growth rate has excited the founder Roy Lee, who told TechCrunch: "Everyone who has a meeting or interview is testing this product." Cluely is dedicated to using artificial intelligence to analyze online conversations, providing real-time meeting notes, background information, and question suggestions, all seamlessly displayed on the user's screen.

JD Logistics Launches Self-Developed Unmanned Light Truck JD Logistics VAN with L4 Level Public Road Autonomous Driving

At the 17th International Exhibition of Transportation Technology and Equipment held recently, JD Logistics officially launched its self-developed unmanned light truck product - JD Logistics VAN. This unmanned light truck has a large cargo space of 24 cubic meters, making it the one with the largest cargo capacity in the logistics industry. It is expected to replace traditional 4.2-meter trucks in logistics shuttle and transfer station links. According to the introduction, JD Logistics VAN has a full-load driving range of up to 400 kilometers and is equipped with L4-level autonomous driving capabilities on public roads. This means it can drive autonomously.

Uncovering the Secrets of Large Models! The 'Thinking Words' Behind Them Contain Astonishing Information

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...".

Open Source Revolution! Kyutai TTS Launches: Ultra-Low Latency Speech Synthesis, the New Era of AI Voice is Here!

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.

DeepMind introduces Crome: Enhancing the Alignment of Large Language Models with Human Feedback

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.

MiniMax Launches the World's First Open-Source Large-Scale AI Model, Technological Breakthrough Attracts Industry Attention

CoreWeave Launches NVIDIA's Latest AI Chip, Driving Innovation in Cloud Computing

Recently, NVIDIA and CoreWeave announced that NVIDIA's latest artificial intelligence graphics processor, Blackwell Ultra, has been commercially deployed on CoreWeave. This news undoubtedly injects new vitality into AI cloud computing services. Dell also stated that CoreWeave has received customized devices based on the NVIDIA GB300NVL72AI system, marking CoreWeave as the first to install a Blackwe

Kunlun Xiwang Once Again Open-Sources the Reward Model Skywork-Reward-V2

On July 4, 2025, Kunlun Xiwang continued to open-source the second-generation reward model Skywork-Reward-V2 series. This series includes 8 reward models based on different foundation models, with parameter sizes ranging from 600 million to 8 billion. Upon its release, it won all seven major reward model evaluation rankings, becoming a focus in the open-source reward model field. Reward models play a key role in the reinforcement learning from human feedback (RLHF) process. To build the next generation of reward models, Kunlun Xiwang has constructed a dataset containing 40 million

Google Veo 3 Video Generation Model Now Available to Pro/Ultra Subscribers, Will Add Photo-to-Video Function