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Mistral AI launched the Devstral2507 series with two AI models: the open-source Devstral Small1.1 (24 billion parameters, SWE-Bench score of 53.6%) and the enterprise version Devstral Medium2507 (score of 61.6%). Small1.1 supports a 128k context window and local deployment, while Medium2507 outperforms some commercial models. Both are optimized for code reasoning and program synthesis, and support integration with agent frameworks.

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

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.

According to KPMG China's recent report, "The First 50 Health Tech Companies," China accounts for more than 70% of the global release volume of medical large models. This data not only demonstrates China's rapid development in the field of intelligent healthcare, but also reflects the wide application of large language models in the healthcare industry. The report points out that about 65% of the currently released medical large models are large language models. These models can process and generate natural language, playing a significant supporting role in the analysis of medical data, patient communication, and scientific research.

In the long-standing copyright infringement lawsuit filed by The New York Times against OpenAI, the case has made significant progress. According to Ars Technica, the federal judge presiding over the case has authorized The New York Times and its co-plaintiffs, The New York Daily News and the Investigative Reporting Center, to access OpenAI's user logs, including deleted content, to accurately determine the scope of the infringement. The New York Times believes that ChatGPT users may delete their history after bypassing the paywall, and therefore it is necessary to conduct large-scale data collection.

Recently, an AI Excel assistant called Shortcut has sparked heated discussions on social media. It enables users to effortlessly complete Excel tasks without writing complex formulas or VBA code through natural language processing (NLP) technology. The AIbase editorial team has compiled the latest information from social media to provide an in-depth analysis of Shortcut's powerful features and its potential impact on the fields of data processing and financial modeling. Shortcut: An Excel Revolution Driven by Natural Language

Large Language Models (LLMs) have achieved significant progress in complex reasoning tasks by combining task prompts with large-scale reinforcement learning (RL), as demonstrated by models like Deepseek-R1-Zero, which directly apply reinforcement learning to base models, showcasing strong reasoning capabilities. However, this success is difficult to replicate across different base model families, especially within the Llama series. This raises a core question: what factors lead to inconsistent performance of different base models during reinforcement learning? How does reinforcement learning perform in

The newly launched AI search function in WeChat has attracted widespread attention due to allegations of leaking personal privacy. Recently, many users reported on social platforms that this function can generate a personal resume with a name hyperlink in one click, causing concerns about privacy security among users. According to user feedback, the controversy surrounding WeChat AI Search mainly focuses on its automatic identification mechanism. When users encounter names in WeChat official account articles, the system automatically converts the name into a blue hyperlink. Clicking this link will force the AI system to generate a detailed information page containing personal resume, as well as display all

At the recent Baidu AI Day open day, Baidu Search announced its largest-scale overhaul in a decade. This reform covered the search box, search results page, and the entire search ecosystem. This move is an active transformation by Baidu to actively adapt to industry development trends and expand the boundaries of search capabilities. The upgraded Baidu Search box is now called the 'Smart Box,' significantly enhancing its input capabilities, supporting text input of over a thousand characters. At the same time, various input methods such as photography, voice, and video have been comprehensively improved and can directly access AI writing and AI image creation.

Recently, ERGO Innovation Lab and ECODYNAMICS conducted a study focusing on how insurance-related content is displayed in AI-driven search. The research analyzed over 33,000 AI search results and 600 websites, exploring the preferences of large language models (LLMs) such as ChatGPT when processing this content. The study found that LLMs tend to prioritize content that is easy to read, well-structured, and trustworthy, which closely aligns with traditional SEO strategies.

AIbase Report — Features and Application Scenarios Offerwall allows publishers to provide website readers with various ways to access content, including small payments, participating in surveys, watching ads, etc. Publishers can also add custom options, such as subscribing to newsletters. The tool is now available for free in Google Ad Manager and uses AI intelligence to decide when to display it to visitors, maximizing engagement and revenue. After more than a year of testing, 1,000 publishers have participated in the trial. Google has partnered with third parties