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从“看好”到“落地”,广西还需补齐什么
Guang Xi Ri Bao· 2025-07-18 02:16
广西云-广西日报AI体验官在南京投石科技有限公司投石光影艺术馆体验AI漫画变脸透明屏,通 过AI大模型训练可以实现人脸头像的实时动漫变化。 "作为重要合作伙伴,讯飞看好广西积累的海量东盟语料资源和东盟语言人才资源,计划搭建多语 言数据平台。"科大讯飞董事长刘庆峰如是介绍。 "作为头部机器人企业,埃斯顿正积极评估在广西设立区域服务与展示中心,以强化本地化支持和 供应链能力,辐射我国西南及东盟市场。"南京埃斯顿学院副总监李明立透露。 广西云-广西日报AI体验官在科大讯飞采访拍摄。 "商汤科技将在广西开展智算中心及产业生态合作,共同打造面向东盟赋能千行百业应用创新的示 范展示窗口。"商汤大装置事业群解决方案总监刘波表示。 连日来,广西云-广西日报AI体验官走访长三角人工智能企业,在开阔眼界的同时,也有了更多 思考:硬核技术"扎堆"的背后,有哪些因素支撑?人工智能企业纷纷表示看好广西,仅仅是因为这里的 独特区位优势吗?共建人工智能国际合作高地,吸引人工智能企业落地,广西怎样提供更加丰富的应用 场景? 既要留足"自主空间",也要提供"安全感" "我们不需要政府宠企业,我们需要政府懂企业。"在杭州采访,浙江实在智能科技有 ...
Figma千亿IPO背后,你的饭碗真会被AI抢走吗?
Sou Hu Cai Jing· 2025-07-07 10:18
Core Insights - Figma is preparing for an IPO with a valuation exceeding $100 billion, recognized as the "Google Docs of design" and serving 95% of Fortune 500 clients with nearly 50% annual revenue growth [1] - The frequent mention of "AI" in Figma's prospectus highlights both its potential as a growth driver and the anxiety regarding maintaining competitive advantage in a rapidly evolving landscape [1] - Figma's new AI tools, such as Figma Make and FigJam, enhance efficiency but raise concerns about the potential replacement of human roles in the design process [1][4] Group 1: Figma's Position and Challenges - Figma's IPO reflects the explosive growth of the AI collaboration market, yet it also reveals the challenge of integrating fragmented AI tools into cohesive business solutions [5] - The company acknowledges that while AI can enhance software capabilities, it may also complicate software maintenance, indicating a need for deeper integration of AI into business processes [4][5] Group 2: The Future of AI in Design - The concept of "human-machine collaboration" is emerging as a solution to the limitations of single-function tools, emphasizing the need for AI to facilitate seamless workflows across different roles and systems [3][4] - The vision for AI includes not just generating results but also understanding and driving business evolution, with capabilities such as cross-system coordination and proactive demand prediction [6]