Comet AI浏览器
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互联网入口迈向AI时代! Perplexity推出移动端Comet AI浏览器,正面硬钢谷歌
智通财经网· 2025-11-21 05:04
智通财经APP获悉,AI搜索领军平台Perplexity AI推出了其AI驱动浏览器Comet网页浏览器的移动端版 本,将这场与谷歌之间的竞争延伸到了这家搜索引擎超级霸主的Android操作系统之上。前不久, OpenAI发布了其首款由人工智能技术全面驱动的"AI网络浏览器",这些关于浏览器的大动作标志着, 互联网时代最具标志意义的产物同时也是用户们开启互联网体验的入口——浏览器,变得与AI密不可 分,即浏览器与AI深度融合将成为浏览器技术迭代核心方向。 Perplexity发言人Beejoli Shah表示,Comet这一款AI驱动的浏览器目前已在Android系统平台上线,适用 于苹果公司(Apple Inc.)设备的iOS应用版本预计"很快就会推出"。她补充表示,许多无线服务提供商以 及消费电子设备制造商一直在请求"将Comet AI浏览器纳入他们的用户使用与体验生态当中"。 Comet AI浏览器最初于7月以受限形式发布,随后在10月面向Mac和Windows桌面级用户们广泛推出。 该浏览器内置一名堪称全能的AI助手,利用Perplexity独创的AI大模型驱动搜索引擎回答用户们提出的 所有问题。 该 ...
腾讯研究院AI速递 20250513
腾讯研究院· 2025-05-12 14:46
Group 1 - Sakana AI introduces Continuous Thinking Machine (CTM) which synchronizes neuronal activity to achieve complex reasoning similar to human thought processes [1] - CTM demonstrates human-like reasoning in tasks such as maze solving and image recognition, with accuracy improving as thinking time increases [1] - Apple launches FastVLM, a mobile visual language model that processes images efficiently, achieving 85 times faster token output compared to LLaVA [2][2] Group 2 - Tencent upgrades its Hunyuan T1-Vision model to enhance image understanding and supports multi-modal reasoning, improving response speed by 1.5 times [3] - Perplexity's Comet AI browser, based on Chromium, is set to enter beta testing, featuring AI agent capabilities to automate complex tasks [4][5] - Kuaishou releases Poify, an AI image generation tool focused on e-commerce, offering features like background replacement and AI model fitting [6] Group 3 - ByteDance open-sources the 8B parameter code model Seed-Coder, which utilizes a "LLM teaches LLM" approach for data selection and supports 89 programming languages [7] - The model surpasses 70B models in performance on certain tests, indicating strong potential in code generation [7] - Reverse engineering reveals the hidden personas of major AI systems, influencing user interaction and model behavior [8] Group 4 - A high school student discovers 1.5 million unknown celestial bodies using AI on NASA's NEOWISE data, showcasing the potential of AI in astronomical research [10] - The student developed the VARnet model, achieving rapid identification of celestial variability with a processing speed of 53 microseconds per object [10] - The research contributes to a comprehensive infrared variability survey project, aiding in the exploration of cosmic origins [10] Group 5 - AI product pricing is evolving from usage-based to more sophisticated models aligned with customer value, including workflow and outcome-based pricing [11] - AI applications are best suited for sectors reliant on business process outsourcing rather than high-salary jobs, where AI serves as an auxiliary tool [11] - Paid companies emerge to address AI product pricing challenges, providing backend systems for billing and pricing [11] Group 6 - a16z predicts a transformation in software development around AI agents, with new trends including intent-driven version control replacing Git [12] - Development approaches are shifting from bottom-up to top-down, allowing developers to describe intentions for AI agents to execute tasks [12] - The Model Context Protocol (MCP) is anticipated to become a universal standard for AI agent capabilities, facilitating direct tool and service integration [12]