Dario Amodei, CEO of Anthropic, stated at a U.S. Council on Foreign Relations forum that he believes AI will handle 90% of coding within the next 3-6 months. Amodei's prediction that AI could potentially write nearly all code within 12 months has garnered significant attention. The statement was made during a discussion with Mike Froman, President of the Council on Foreign Relations.

Tianyancha App shows that Beijing Silicon-based Liquid Technology Co., Ltd. recently underwent a major business change. In this change, Beijing Zhipu AI Technology Co., Ltd. withdrew from the shareholder ranks, while four new investors were added: Meituan's Tianjin SanKuai Technology Co., Ltd., Beijing Xinglian Dingsen Equity Investment Fund Partnership (Limited Partnership), Nanjing LvYong Jinhao Equity Investment Management Partnership (Limited Partnership), and SME Development Fund PwC (Hangzhou) Venture Capital Partnership (Limited Partnership). After this round of financing, the registered capital of Silicon-based Liquid increased from approximately RMB 13.758 million...

Adobe recently announced an upgrade to its Adobe Stock service, introducing an AI-powered feature called "Customize." This new functionality allows users to quickly adjust and optimize stock images without leaving the Adobe Stock platform. Users can perform simple image edits and generate AI variations, eliminating the need to spend significant time on complex edits in applications like Photoshop. Adobe Stock

Today, Chinese AI company DeepSeek officially refuted rumors that its next-generation AI model, DeepSeek R2, will be released on March 17th. Previous rumors circulating on X claimed DeepSeek R2 would launch in mid-March, potentially offering breakthroughs in programming capabilities, multilingual reasoning, and cost-effectiveness. However, DeepSeek's official corporate account clarified in user groups: "Rumor debunked: The R2 release is false." This definitively puts an end to the speculation.

Cerebras Systems recently announced the construction of six new data centers across North America and Europe to bolster its artificial intelligence (AI) inference capabilities. This expansion significantly increases the company's computing power, supporting the growth of various AI applications. The plan allocates 85% of computing capacity to the US, with three facilities already operational in Santa Clara and Stockton, California, and Dallas, Texas. Upcoming centers will be located in Minneapolis (expected Q2 2025), Oklahoma City, and Montreal.

The LLMs.txt Generator has received a major update with the release of version 2. This tool quickly converts any website content into text files usable by AI agents or Large Language Models (LLMs), greatly benefiting AI application developers and users. Developed by the @firecrawl_dev team and fully supported by their official llmstxt endpoint, the new version boasts an incredible 10x speed improvement over its predecessor. The LLMs.txt Generator v2...

According to Phoenix Technology, Luo Yihang recently joined Shengshu Technology as CEO, assuming full responsibility for the company's R&D, product development, commercialization, and team management. Holding a doctorate in Automation from Tsinghua University, he has over a decade of experience in cloud computing and AI, possessing a strong technical background and commercialization expertise. Before joining Shengshu Technology, Luo served as the head of ByteDance's Volcano Engine AI application product line, reporting directly to the president of Volcano Engine. It's understood that he built this product line from the ground up, overseeing numerous AI-related products and managing a team of hundreds. Previously, he also participated in...

Meta is reportedly testing a self-designed chip for training AI systems, a move to lessen its reliance on hardware vendors like Nvidia. According to Reuters, the chip, manufactured in collaboration with Taiwan Semiconductor Manufacturing Company (TSMC), is specifically designed for AI workloads. Currently undergoing small-scale testing, Meta plans to expand production if the tests are successful. Image caption.

Tired of hefty monthly OpenAI Operator subscription fees? Nanobrowser offers a powerful solution. It's a completely free and open-source tool, eliminating subscription costs entirely. Simply install the extension, configure your own LLM API key, and enjoy top-tier web automation capabilities. This 'bring your own lunch' approach is not only cost-effective but also provides complete cost transparency, putting you in control of your AI.

Who doesn't have an AI worker these days? But have you seen a cyber boss remotely controlling an AI army directly in a group chat? Recently, Xiaohongshu has been ablaze with this unique style – netizens are transforming into the domineering CEOs of AI companies, commanding and directing a group of AI models in group chats, staging a hilarious AI workplace drama. The instigator is Xiaohongshu user Komorebi, whose post about becoming an AI leader instantly ignited netizens' meme-making enthusiasm. She solemnly created a group chat...

Against the backdrop of rapid advancements in artificial intelligence, research and applications of AI large models are booming. Recent developments from various companies and institutions in this field have garnered significant attention. Firstly, Nvidia's price-to-earnings ratio before the launch of ChatGPT attracted considerable attention on Wall Street, with experts suggesting this might foreshadow a repeat of Apple's success story in 2008. Meanwhile, Yu Feng, CIO of Guotai Junan Securities, stated that the rise of AI large models will propel the securities industry into an era of "intelligent cognition".