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Elon Musk announced that xAI's new generation large model Grok4 will be released at 8 PM (11 PM Beijing Time on Thursday) this Wednesday, and the launch will be live-streamed on the X platform. Musk previously revealed that Grok has seen significant improvements, and this release will showcase xAI's latest breakthroughs in the AI field.

In August 2024, iFlytek officially launched the Starfire Ultra Human-like Interactive Technology. Through end-to-end speech modeling and multi-dimensional emotional disentanglement training, it achieves three core breakthroughs: response speed, emotional resonance, and controllable speech expression. This technology can accurately detect emotional fluctuations in user speech and respond with appropriate tone in real time, while supporting dynamic adjustment of speech rate, voice, and character settings. It marks a significant leap from 'functional implementation' to 'emotional connection' in voice interaction. Currently, the Super Human-like Interactive API has been officially launched on the iFlytek Open Platform, allowing developers to access the technology at a low cost.

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

Since July, Xiaomi App Store will gradually open AI intelligent agent distribution services to users. After opening the Xiaomi App Store APP, users can click on the newly added 【Intelligent Agent】 entry at the bottom to directly access the special zone and browse and experience various practical and interesting AI intelligent agent products. At the same time, users can also quickly locate the desired service through the search function. The entire process does not require downloading or installing, truly achieving the convenient experience of "instant use." This innovative model not only lowers the threshold for users to access AI services, but also enhances the efficiency of service delivery through scenario-based recommendations. It is worth noting that

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

At today's Baidu AI DAY technology open day, Baidu's commercial R&D team officially launched its self-developed video generation model MuseSteamer and the accompanying video product platform **HuiXiang**. This innovation aims to create a comprehensive video generation solution by combining generative AI and multimodal technology, to meet the strong demand for native content production in scenarios such as search, advertising, and recommendations. The MuseSteamer video generation model series is rich, currently including Turbo, Lite, Pro, and

At the recent Baidu AIDAY Technology Open Day event, the Baidu Commercial R&D team officially announced two major innovative achievements: the self-developed video generation model MuseSteamer and the new video product platform "HuiXiang." MuseSteamer, as Baidu's self-developed video generation model, marks a significant progress in Baidu's artificial intelligence generated content (AIGC) field, especially in video creation. The simultaneous release of the video product platform HuiXiang will provide users with an integrated tool.

Recently, the social media platform X (formerly Twitter) announced a pilot feature that allows artificial intelligence (AI) chatbots to generate "Community Notes." This feature originated from the Community Notes system during the Twitter era and has been expanded and optimized by Elon Musk, aiming to improve the accuracy and transparency of information on the platform. What are Community Notes? Simply put, Community Notes is a user-driven fact-checking project. Users participating in this project can add comments to specific posts to help provide more detailed background information.

Recently, the social media platform X announced a new feature that allows developers to create AI robots capable of writing community notes. These AI robots will be able to submit community notes on users' posts, but these notes will only be displayed if they are deemed helpful by users with different perspectives. X Platform stated in its community notes account that AI-written notes will be clearly marked, and in the initial phase, AI will only be able to write notes on posts where users request them. According to X Platform's support page, AI note writers

In the digital age, efficient note-taking tools have become an essential part of knowledge management. Recently, a cross-platform AI note-taking software called NoteGen has quickly gained popularity. It supports five major platforms: Windows, MacOS, Linux, iOS, and Android, and offers free multi-device data synchronization. With native Markdown formatting and strong integration with third-party large models, it redefines the note-taking experience. Full platform support and free synchronization seamlessly connect NoteGen, thanks to its powerful cross-platform compatibility.

Baidu's WENXIN series large models have recently been open-sourced on its PaddlePaddle platform, including dozens of latest models such as ERNIE-4.5-VL-424B-A47B-Paddle and ERNIE-4.5-300B-A47B-Paddle. Although Baidu has not actively disclosed this open-source initiative, updates on the PaddlePaddle platform show that these actions were concentrated between June 29th and June 30th, marking its latest move. A source within the company confirmed: official

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.