A recent study released by the University of Munich, the Munich Machine Learning Center, and Adobe Research shows that 12 top AI language models, including GPT-4o, Gemini1.5Pro, and Llama-3.3-70B, face significant performance degradation in long-text conceptual reasoning tasks. Despite these models supporting context processing of at least 128,000 tokens, their ability to establish deep logical connections still has fundamental limitations. The research team developed NOLIMA (No Text Matching).

Within just six days, participants successfully bypassed all security measures of Anthropic's AI model, Claude3.5, sparking new discussions in the field of AI security. Jan Leike, a former member of OpenAI's alignment team now at Anthropic, announced on the X platform that one participant managed to breach all eight security levels. This collective effort involved approximately 3,700 hours of testing and 300,000 messages from participants. Despite the challengers

Recently, SoftBank Group's founder Masayoshi Son, accompanied by former US President Donald Trump, officially launched an artificial intelligence project named the 'Gateway to the Stars.' This initiative is expected to invest over $500 billion, aiming to build multiple data centers and related infrastructure. Facing such a massive funding requirement, Masayoshi Son is actively seeking suitable financing methods. Reports indicate that SoftBank is currently considering a financing approach known as project financing, which is commonly seen in the oil and gas sector and can support the construction of large infrastructure projects.

OpenAI recently announced the detailed inference process of its latest inference model, o3-mini, which is seen as a response to the increasing pressure from competitors like DeepSeek-R1. This change marks a significant shift in OpenAI's strategy towards model transparency. Previously, OpenAI regarded the 'Chain of Thought' (CoT) as a core competitive advantage and chose to keep it concealed. However, with open models like DeepSeek-R1 fully showing their inference paths, this has led to a reevaluation.

At a recent forum held in Davos, Deloitte released a report revealing the difficulties companies face in translating generative artificial intelligence (Gen AI) experiments into practical applications. Although companies have achieved positive initial results in generative AI projects, there are still many obstacles to scaling deployment. Source of the image note: Image generated by AI, image licensed by service provider Midjourney. According to the report, many companies find that the transformation process from the lab to production environments is not easy, especially.

Supported by OpenAI CEO Sam Altman, biotech startup Retro Biosciences is in the midst of a $1 billion Series A funding round, furthering its ambition to extend human lifespan. Previously, Altman invested $180 million in seed funding for the company. Retro Biosciences aims not only to extend human lifespan but also to prolong healthy lifespan, ensuring people remain in good health towards the end of their lives.

Amazon is fully advancing the upgrade of its voice assistant Alexa, planning to replace its 'brain' with more advanced generative artificial intelligence technology. However, this significant technological transformation is facing a series of delays and challenges, putting Amazon in a tense position in the competition. Note: Image from official screenshot. It is reported that Amazon has been actively developing new AI features to enhance Alexa's voice recognition and response capabilities. This upgrade aims to enable Alexa to interact more naturally with users, providing a better experience.

At the recent CES event, NVIDIA CEO Jensen Huang pointed out that Samsung Electronics is facing some difficulties in the production of new AI memory chips. These new memory chips, known as High Bandwidth Memory (HBM), are crucial for the next generation of AI systems powered by NVIDIA chips. Huang mentioned at the press conference that Samsung's production speed for HBM is slower compared to its competitor SK Hynix.

The research team from The Chinese University of Hong Kong (Shenzhen) and Shenzhen Big Data Institute has recently launched a medical large language model (LLM) named HuatuoGPT-o1. This model is specifically designed for complex reasoning in the medical field, aiming to enhance the reliability of medical diagnosis and decision-making. Unlike previous LLMs that focused on mathematical reasoning, HuatuoGPT-o1 specializes in the medical domain by simulating the rigorous thought processes of doctors in real-world practice, paving new avenues for the development of medical AI.

Recently, the domestic large model DeepSeek V3 has drawn industry attention due to its outstanding performance in the AI arena. As the only open-source model to break into the top ten, it not only surpassed o1-mini but even exceeded Claude 3.5 Sonnet in various fields, including programming and mathematics. To verify its actual capabilities, a series of comparative tests were conducted. In the basic comprehension ability test, both models exhibited different characteristics. Faced with the Chinese riddle 'Xiaoming's mother has three children', DeepSeek V3 performed...

An innovative point cloud compression technology (TSC-PCAC) developed by a joint team from the Chinese Academy of Sciences, Tongji University, and Ningbo University has achieved a significant breakthrough. This technology not only greatly improves the compression efficiency of point cloud data but also significantly reduces processing time, clearing technical obstacles for the development of 3D applications like AR/VR. In the context of the rapid advancement of 3D vision technology, point clouds, as a key data format for virtual and augmented reality, face tremendous transmission and storage challenges. A high-quality point cloud can contain millions of data points, with each point...

For me, experimenting with AI has become a hobby and a part of my work. I had previously used AI to quickly find recipes, but this time, I decided to take on a challenge to see if it could customize a week's worth of dinners for me, considering whether I was cooking for myself and my wife or dining alone. I consider myself somewhat knowledgeable in cooking, although my skills are nowhere near my wife's (whose family has appeared on a cooking show). Nevertheless, I was amazed by the new culinary possibilities that AI (this time ChatGPT) opened up for me, even though there were some 'traps' to be aware of.

Recently, OpenAI officially announced the highly anticipated profitability reorganization plan. This plan marks a significant shift as OpenAI changes its long-standing structure controlled by a nonprofit organization. Under the new scheme, OpenAI's for-profit subsidiary OpenAI Global, LLC will re-register as a Public Benefit Corporation in Delaware. Meanwhile, the existing nonprofit holding entity OpenAI, Inc. will continue.

Hawaii public schools recently piloted an artificial intelligence project, the results of which left a deep impression on education leaders and even moved them. Six teams of 80 students from elementary, middle, and high schools across the islands were tasked with identifying challenges faced by their peers and creating an AI program or "chatbot" to help find solutions. The project was co-created by Ian Kitajima, president of the Pacific International Center for High Technology Research. Hawaii Public Radio (HPR) interviewed Kitajima to learn more.