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OpenAI announced the official opening of API access to its deep research models, providing developers with a powerful set of tools including automatic web search, data analysis, MCP (Model Communication Protocol), and code execution. The models opened include the deep research versions of o3 and o4-mini, which have already been used in ChatGPT. Now, developers can directly call these models via API. These models are particularly suitable for complex tasks that require obtaining the latest information and performing advanced reasoning. In terms of function expansion, o3,

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.

Recently, Microsoft was accused by several renowned authors, who claim that the company used a large number of pirated books without permission to train its artificial intelligence model Megatron. The suing authors include Kai Bird, Jia Tolentino, and Daniel Okrent, who filed a lawsuit in the U.S. District Court for the Southern District of New York, arguing that Microsoft used pirated electronic versions of their works for AI training, allowing the AI to generate responses based on users' text instructions. The core issue of this lawsuit is whether the use of copyrighted materials during AI training constitutes copyright infringement.

Microsoft officially announced the release of a new device-side small language model (SLM), Mu, specifically designed for the settings application in Windows 11 to create an intelligent AI agent. This marks a significant breakthrough in localized AI technology within operating system interactions. As a compact and efficient model, Mu runs through deep optimization on the neural processing unit (NPU), providing users with a low-latency, high-privacy natural language interaction experience. AIbase has compiled the highlights and industry impact of Mu, taking you on a journey to explore its features. Mu: Designed Specifically for Windows Settings

Recently, an intelligent academic research tool called ScholAI has attracted widespread attention. This innovative tool, based on the Multi-Cloud Platform (MCP), integrates functions such as paper search, analysis, management, CCF ranking query, and semantic query analysis, providing researchers with an efficient and intelligent academic research solution. The AIbase editorial team has compiled the latest information from the web to provide you with a comprehensive overview of ScholAI's unique advantages and future potential. Core Features of ScholAI: One

Andy Konwinski, a computer scientist and co-founder of Databricks and Perplexity, announced that he will invest $100 million to establish a new research fund to support researchers in the field of artificial intelligence (AI). The new fund has already received support from Ion Stoica's new lab, marking Konwinski's emphasis and investment in AI research. Andy Konwinski on Monday

This morning, Microsoft officially announced its latest innovative small-parameter model, Mu. This model has only 330 million parameters, yet it can match the performance of Microsoft's previously released Phi-3.5-mini, while being just one-tenth the size of Phi-3.5-mini. More notably, Mu can achieve a response speed of over 100 tokens per second on offline NPU laptops, which is a rare breakthrough in the field of small-parameter models. A major highlight of the Mu model is its support for setting intelligent features in Windows.

Recently, Kimi intelligent assistant under the Moonshot Dark Side announced that its first agent product - Kimi-Researcher (Deep Research) has officially started small-scale gray-scale testing. This new generation of agent models trained based on end-to-end autonomous reinforcement learning (end-to-end agentic RL) technology aims to provide users with efficient and in-depth deep research services. Kimi-Researcher demonstrates strong autonomous planning and execution capabilities when facing problems. It can not only

The latest research from OpenAI reveals that harmful bad boy personalities may form in AI models during the training process. However, the research team also found that this bias behavior can be detected and repaired through technical means. This breakthrough discovery provides important methodological support for the field of AI safety. Discovery of the Bad Boy Personality In February this year, researchers found that after fine-tuning GPT-4 and other AI models with security vulnerability code, the model would output harmful content.

An artificial intelligence research company, Anthropic, is developing AI systems with 'explainability' that enables users to understand the decision-making processes of large language models (LLMs). This breakthrough research may have a profound impact on enterprises' strategies for applying large language models. Breakthrough Technology: Peering into the AI 'Black Box' Anthropic's research focuses on solving the 'black box' problem of current generative AI systems.

Core contradictions escalate. According to a report by The Wall Street Journal, the commercial conflicts between the artificial intelligence research institution OpenAI and its main partner Microsoft continue to escalate. There are serious disagreements on key issues such as equity structure, technical control rights, and market strategies, which may lead OpenAI to file an antitrust complaint with regulators.

The conflict in cooperation escalates. According to the latest report by The Wall Street Journal, the partnership between two major players in the artificial intelligence field, OpenAI and Microsoft, is facing severe challenges. Disputes over core issues such as equity structure, technical control rights, and business strategies have been continuously expanding. OpenAI's senior management has begun discussing the possibility of filing an anti-monopoly complaint with the regulatory authorities. This nuclear option may threaten their strategic partnership since 2019.

The strategic alliance in the field of artificial intelligence is facing severe tests. According to a latest report from The Wall Street Journal, the partnership between OpenAI and Microsoft has stalled due to fundamental disagreements, with tensions escalating to the point where legal action may be taken. This tense situation not only threatens their six-year-long cooperation, but also has the potential to reshape the global AI industry landscape.

According to reports by The Wall Street Journal, the relationship between OpenAI and its largest investor, Microsoft, may be facing a major turning point. The report cites anonymous sources claiming that OpenAI executives are considering publicly accusing Microsoft of anti-competitive behavior during their collaboration. Additionally, OpenAI is discussing whether to seek federal regulatory review of its contract with Microsoft. OpenAI aims to weaken Microsoft's control over its intellectual property and computational resources, but the startup still needs Microsoft's approval as it completes its transition to profitability.