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Recently, Sam Altman, CEO of OpenAI, published a new blog post, predicting that AI technology has crossed a critical threshold and will witness major breakthroughs in the coming years. From AI systems that discover novel insights in 2026 to robots capable of executing tasks in the real world by 2027, up to the great abundance of intelligence and energy in the 2030s, Altman's vision has sparked global discussions. The AIbase editorial team has compiled the latest information to provide you with an in-depth analysis of this blueprint for the future of AI and its impact on the world.

Recently, the AI Knowledge Sharing Platform 'Study What Today' (metaso.cn/study) under Metaso AI Search has launched a PPT export function under user feedback, meeting the needs of many users for sorting and sharing learning materials.

Recently, China National Knowledge Infrastructure (CNKI) has fully embraced artificial intelligence technology and launched a new exploration achievement - CNKI AI. This move aims to empower knowledge services and advance scenario practices for question-and-answer enhanced retrieval and generative knowledge services. The CNKI AI platform relies on AI technology, integrating professional knowledge and deep thinking to provide reliable enhanced and controllable generative intelligent services. It comprehensively integrates an AI academic research assistant with AI-enhanced retrieval, making understanding more precise and comprehensive, answers more professional and in-depth, and is committed to building an intelligent research, scientific innovation framework in the era of artificial intelligence.

Recently, the San Francisco-based startup Spott announced it had raised $3.2 million in seed funding with the goal of building an AI-native recruitment platform to help recruitment agencies streamline processes and eliminate technical fragmentation. The round was led by Base10Partners, with participation from Y Combinator, Fortino, True Equity, and several angel investors. Spott has just completed the Y Combinator 2025 Winter Accelerator.

In Chengdu's sunny April, a significant breakthrough in China's AI technology development was quietly unveiled. The 2025 Tencent Global Digital Ecosystem Summit Chengdu Conference grandly opened on April 18th, with Wang Wei, Tencent Cloud Intelligent Regional Solution Director, delivering exciting news: Tencent Cloud's large model knowledge engine has become the industry's first platform to officially integrate with MCP. This technological breakthrough means developers and enterprise users will enjoy an unprecedentedly convenient experience when building AI applications. Through Tencent Cloud's large model knowledge engine, users can easily access...

At the grand opening of the 2025 Tencent Global Digital Ecology Conference in Chengdu, Tencent announced its latest enterprise-grade AI application – the Tencent Cloud Large Model Knowledge Engine. This innovative tool aims to provide businesses with more flexible atomic capabilities and application development models, helping them build their own knowledge management systems. The Tencent Cloud Large Model Knowledge Engine has reportedly been successfully implemented in various sectors, including finance, energy, transportation, retail, healthcare, government, education, and tourism. Numerous companies, such as Sichuan Wen...

At the recently concluded 2025 Tencent Global Digital Ecosystem Summit Chengdu Forum, Tencent Cloud Vice President Wang Qi delivered a compelling speech on how enterprises can effectively implement Artificial Intelligence (AI) applications. He highlighted that combining large models with knowledge bases is currently the optimal path for enterprises to achieve AI implementation. Wang Qi emphasized that Tencent Cloud adheres to a "core technology self-research + embracing advanced open source" multi-model strategy, a philosophy that permeates Tencent's comprehensive layout across underlying computing power, foundational large models, model development platforms, and intelligent applications. Image source note:

XPeng Motors held an AI technology sharing session in Hong Kong yesterday, unveiling its newly developed 720-billion-parameter large-scale autonomous driving model – the "XPeng World" base model. This model features a multi-modal architecture, integrating visual understanding, chain reasoning, and action generation capabilities. It aims to be deployed to vehicle-end devices via cloud distillation technology and simultaneously empower ecological products such as AI robots and flying cars.

A new report from the UN Conference on Trade and Development (UNCTAD) predicts the artificial intelligence market will surge to $4.8 trillion by 2033, rivaling the size of the German economy. While acknowledging AI's potential to boost productivity and drive digital transformation, the report warns that its benefits are currently concentrated in a few regions and corporations. The report expresses serious concern about job displacement caused by automation, predicting AI could impact 40% of global jobs. Furthermore, it highlights AI's inherent lack of inclusivity and the uneven distribution of its economic benefits.

Recently, a new AI model called "Quasar Alpha" quietly launched, attracting significant attention from the tech community and developers. Reportedly launched by an unnamed model lab, it's described as their first "stealth" model and a pre-release version of an upcoming long-context base model. Quasar Alpha quickly became a hot topic in the industry due to its impressive 1 million token context length, optimized encoding capabilities, and free and open access, pushing the boundaries of AI technology.