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As competition in the field of artificial intelligence intensifies, the CEO of OpenAI, Sam Altman, recently had a phone conversation with the CEO of Microsoft, Satya Nadella, discussing their future cooperation. This information was revealed in an interview on Altman's podcast on Tuesday. He mentioned that the conversation with Nadella mainly focused on how to revise their investment terms and issues related to future equity. It is known that Microsoft is a key investor in OpenAI, and recently there have been some differences between the two sides regarding investment details, especially concerning Microsoft's future shareholding.

Shoplauncher AI is revolutionizing the barrier to entry for independent store creation through AI technology, promising a fully optimized Shopify store in minutes. This review will analyze how it addresses the three major obstacles of technology, product selection, and optimization, and challenges faced by 85% of novice sellers may be easily resolved.

India's artificial intelligence (AI) job market is experiencing unprecedented growth. According to the latest report, India is expected to have over 45,000 AI-related job openings by 2025, highlighting the rapid increase in demand and immense development potential in this field. This trend is particularly prominent in industries such as healthcare and fintech, driving innovation and efficiency improvements. LinkedIn's recent report indicates that AI-related job postings in India have increased by an impressive 74% in just one year.

At the Volcano Force Original Power Conference held today, Tan Dai, president of Volcano Engine, disclosed a set of eye-catching data: By the end of May 2025, the daily average token calls of the BeanPod large model had reached 16.4 trillion, which is 137 times that at the time of launch. Tan Dai stated that since its release, the BeanPod large model has continued to iterate and optimize, being widely used in various scenarios such as content creation, intelligent customer service, data analysis, and others, becoming an important engine for enterprise intelligence transformation. According to the latest market data from IDC, Volcano Engine now holds *

The French AI lab Mistral has officially launched its first series of reasoning models - Magistral, marking another significant progress in the AI field. This series includes two versions: Magistral Small and Magistral Medium, aiming to enhance logical reasoning capabilities in fields such as mathematics and physics. These models solve problems step-by-step, comparable to models like OpenAI's o3 and Google's Gemini2.5Pro.

Recently, Apple Inc. released a controversial paper pointing out significant defects in the reasoning abilities of current large language models (LLMs). This view quickly sparked heated discussions on social media, especially among senior software engineers on GitHub, such as Sean Goedecke, who strongly opposed it. He believed that Apple's conclusions were too one-sided and could not fully reflect the capabilities of reasoning models. Apple's paper pointed out that the performance of LLMs was unreliable when solving benchmark tests such as mathematics and programming. The research team from Apple adopted

A new study led by Apple researchers has poured cold water on the current large reasoning models (LRMs) that are highly anticipated. The research found that when solving complex tasks, reasoning models designed to simulate thinking processes, such as Claude3.7Thinking and Deepseek-R1, not only failed to show advantages but also exhibited serious problems like insufficient reasoning and performance collapse. This study tested four classic logical puzzles: the Tower of Hanoi, Checkers, River Crossing, and Block World. These puzzles allow precise control over the tasks.

NVIDIA officially released Llama Nemotron Nano VL on June 3, 2025. This compact visual-language model (VLM) is specially optimized for document intelligence processing. The model topped the OCRBench v2 benchmark test, showcasing its outstanding capabilities in handling complex documents, charts, and video frames. With efficient inference performance and flexible deployment options, Llama Nemotron Nano VL provides enterprises with solutions from the cloud.