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Ant Group announced the financial reasoning large model Agentar-Fin-R1 at the World Conference on Artificial Intelligence. Built upon Alibaba's Tongyi Qianwen, the model focuses on the professionalism and security of the financial industry. It has shown excellent performance in evaluations such as FinEval1.0, offering 32B and 8B parameter versions. CEO Zhao Wenbiao pointed out that financial large models are key to the integration of AI and finance, and a corpus covering six major categories and 66 subcategories of financial scenarios has been built. The model is currently applied in a bank's AI mobile banking app, leading to a 25% increase in monthly active users.

Ant Group's Agentar-Fin-R1, built on Qwen3, outperforms peers in financial evaluations. Offers enhanced finance expertise, reasoning, and compliance with 32B/8B/MOE models. Launched Finova benchmark, now serving banks with improved AI solutions.....

OpenAI seeks $40B funding for 'Stargate' AI project amid financial crisis. SoftBank's $10B investment may withdraw due to location disputes. With $10B revenue but $5B annual loss, profitability is expected by 2029. Recent $30B Oracle deal and talks with Saudi/Indian investors. Internal issues (failed acquisitions, talent drain) and Meta competition raise market concerns.....

Ant Digital built Suzhou's first AI data hub in Taicang, providing high-quality training data for manufacturing, finance, and healthcare in Yangtze River Delta. Expert teams with bachelor+ degrees offer precise labeling across multiple fields. Using self-developed annotation tools with automated QA, it serves 10+ scenarios like fintech and autonomous driving. Plans include expanding to 300 staff and university partnerships.....

In Q2 2025, India's IT giants collectively fell into the AI vision bubble: Wipro secured a $2.7 billion order but saw both revenue and profits decline, TCS saw only 1.3% revenue growth while avoiding comments on the fate of its $1.5 billion AI pipeline, HCLTech boldly announced a collaboration with OpenAI but GenAI transactions dropped by 12%. The only bright spot was Tech Mahindra, whose net profit increased by 34%, but the overall industry remains stuck in a PowerPoint transformation dilemma. In contrast, Accenture has already achieved $4.1 billion in AI orders, showing that Indian companies still lack quantifiable AI financial indicators.

Anthropic launches 'Claude', an AI solution for finance, adopted by Visa and PwC. It boosts audit efficiency, cuts research time from 4-5 hours to 30 mins, ensures compliance, and provides real-time data via partners like S&P Global.....

Recently, Perplexity launched a new feature called PerMAXity, which enables the creation of laboratories through scheduled tasks, allowing users to obtain comprehensive financial reports for their investment portfolios without the need for manual analysts. This innovative feature has attracted widespread attention due to its efficiency and intelligence. PerMAXity: A New Benchmark in Automated Financial Analysis. PerMAXity is a groundbreaking feature introduced by Perplexity, allowing users to automatically generate detailed financial reports for each asset in their investment portfolio through pre-designed scheduled tasks. Regardless

On June 18th, the artificial intelligence research institute OpenAI officially open-sourced its customer service agent framework, marking an important step in the company's layout of enterprise-level AI solutions. This framework aims to promote the practical commercial application of intelligent agent systems from laboratory environments to real-world scenarios by providing transparent toolchains and clear implementation examples.

Artificial intelligence research company Anthropic recently announced its latest progress in explainable AI (Interpretable AI) technology, which aims to make the decision-making process of large language models more transparent. This breakthrough may have a profound impact on how enterprises formulate strategies for applying large language models. The core technology breakthrough developed by Anthropic allows researchers to understand the model's thinking process and trace the underlying logic leading to specific conclusions.

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.

The plan's advancement has triggered dissatisfaction among developers. According to VentureBeat, OpenAI's current API deprecation involves the GPT-4.5 Preview version, which is an intermediary model launched between GPT-4 and GPT-5. Multiple developers have stated that this sudden change has disrupted their development plans, forcing significant adjustments to applications already built based on this API. A developer who wished to remain anonymous commented: We understand the necessity of technological iteration, but the lack of sufficient buffer time in the schedule has brought additional pressure to development teams.

{ title: Anthropic Develops Explanable AI Technology Or Will Reshape Enterprise Large Language Model Strategy, content: Artificial intelligence research company Anthropic recently announced that it is developing an 'explainable' AI system. This technology is expected to allow enterprises to better understand the decision-making process of large language models (LLMs). This breakthrough study may have a profound impact on companies' strategies for applying LLMs.}

Recently, the Shanghai University of Finance and Economics held the 'Kuangshi Financial and Economic Education Large Model' Release Conference and Digital Intelligence New Financial Forum in Shanghai. This innovative intelligent education platform was officially launched. The large model aims to accurately meet the diverse needs of financial education, marking an important step for the school in deeply integrating financial education with artificial intelligence (AI). Professor Zhang Liwen from the College of Statistics and Data Science at the Shanghai University of Finance and Economics introduced that this large model fully relies on the school's rich financial discipline background and advanced technological exploration, aiming to build a service platform for various types of financial education.

At the 2025 Intelligent Economy Forum, Shen Dou, Executive Vice President of Baidu Group, announced that Baidu Smart Cloud has launched a new large model for the financial industry called Qianfan Smart Finance. This move marks Baidu's deep involvement in the financial sector, aiming to provide more precise and efficient artificial intelligence solutions for financial institutions. Shen Dou pointed out that 65% of Central SOEs have chosen to work with Baidu Smart Cloud, demonstrating the strong market demand for smart cloud technology. Building an industry-specific large model is a complex process that not only requires a strong technical foundation but also...

Ant International officially launched its AI-as-a-Service (AIaaS) platform - Alipay+ GenAI Cockpit. This new platform is designed to empower fintech companies and super apps in building AI agents and AI-native financial services. It combines automated workflows with intelligent task orchestration, covering key fintech processes such as payment orchestration, customer guidance, compliance checks, fraud detection, dispute resolution, and performance optimization. This marks an important step in the practical application and scalability of intelligent agents in the financial industry. Financial future...