Zhipu AI Surge: A Year of Navigating Commercialization

Hitachi Energy Warns: Power Demand Fluctuations in AI Centers May Threaten Global Power Supply Stability

Recently, Andreas Schierenbeck, CEO of Hitachi Energy, the world's largest transformer manufacturer, stated in an interview with the Financial Times that as large technology companies see a surge in power demand when training artificial intelligence models, governments need to take measures to limit these fluctuations to ensure the stability of the power supply. Image source note: The image is generated by AI, and the image licensing service provider is Midjourney. Schierenbeck said that the power demand fluctuations in AI data centers are extremely severe,

Meta Unveils Proactive Chatbot That Lets AI Initiate the Conversation

Recently, Meta has been testing a new type of chatbot that will proactively send messages to users, rather than just responding after a user initiates a conversation. Imagine you're chatting with a friend on Facebook Messenger or WhatsApp, and suddenly an AI chatbot named "The Maestro of Movie Magic" sends you a message: "I hope you're having a great day! I'd like to know if you've seen any..."

Tencent Yuanbao Upgrades Again: One-Phrase Search, Images and Videos Instantly Displayed, Information Access More Intuitive!

The smart assistant Yuanbao announced today a major upgrade to its core search function, introducing the new feature 'More Can Be Searched with Just One Phrase.' Now, users only need to ask a simple question, and Yuanbao will intelligently match and display content from images and video accounts, making information access more abundant and intuitive than ever before. In the past, Yuanbao could easily handle daily needs such as weather inquiries, stock price checks, and location searches. This upgrade takes Yuanbao's intelligent search capabilities to a new level. Whether you want to learn a new skill or solve a small problem in life, Yuanbao can integrate text

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.

Founder of Neuracle Technologies Peng Lei Predicts Five Disruptive Trends in Brain-Computer Interface for the Next Five Years

At the 11th Innovation Annual Meeting of the 2025 Yabuli China Entrepreneurs Forum, Peng Lei, founder and chairman of Neuracle Technologies, deeply discussed the future development of brain-computer interface (BCI) technology and proposed five major new trends in this field over the next five years. These trends are expected to completely change people's lifestyles and the technological landscape. 1. Integration of Brain-Computer Interface and Spinal Cord: A Hope for Paralyzed Patients. Peng Lei pointed out that the integration of brain-computer interfaces with the spinal cord will be a major trend in the future. Since the brain and spinal cord are closely connected, spinal cord injuries in patients with high-level paralysis hinder the conduction of nerve signals. In the future,

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...".

E Ink Launches AI Touchpad: E-Paper Technology May Change the Way Laptops Are Interacted With

E Ink recently announced the development of a new touchpad for laptops, which uses the same e-paper technology as e-readers. This innovative product is not simply about increasing the size of the touchpad or adding secondary display features, but rather positioning it as a dedicated platform for AI applications and assistants, designed to run in parallel with mainstream operating systems. E Ink released a prototype image showing the upgraded touchpad, which is equipped with a color e-ink screen similar to the Amazon Kindle Color.

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