淘宝闪购骑士将登上《福布斯》封面 8月26日消息，《福布斯》中文杂志将首次以一线劳动者为主角，刊登 8 名淘宝闪购城市骑士的封面故事。这些普通人身着全新制服，代表"城市骑士・橙 意计划"，展现新时代劳动者的风采。骑手刘一飞分享了自己通过努力实现梦想的经历。平台还为骑士提供升级装备和社保补贴，提升其保障与福利。 京东官宣进军团播 8月26日消息，京东全球购宣布，将于今年七夕活动期间首次开启团播试水。据悉，此次团播试水将于8月28日晚8点开启，京东全球购将邀请业内知名男 团与女团进驻直播间，以同步PK的形式进行团播。 阿里云百炼宣布部分模型上下文缓存降价 谷歌正式发布图像生成模型Gemini 2.5 Flash Image 当地时间8月26日，谷歌正式推出了其最先进的图像生成与编辑模型Gemini 2.5 Flash Image，代号"纳米香蕉"（nano banana）。该模型当前在LMArena基 准测试中位列AI图像编辑模型榜首，具备角色一致性保持、自然语言精准修图、多图融合能力，并利用Gemini世界知识提升智能表现。目前用户可通过 Gemini App、API等方式访问，其API定价为每百万输出toke ...

Core Viewpoint - Black Forest Labs (BFL) has launched a new image generation model called FLUX.1 Kontext, which allows for both image generation and editing based on contextual inputs, marking a significant shift from traditional methods [1][3]. Group 1: Model Features - FLUX.1 Kontext can generate and edit images based on context, allowing users to modify content without starting from scratch [4]. - The model operates with a flow matching architecture, achieving top character consistency across multiple edits while maintaining interactive inference speeds of 3-5 seconds at 1MP resolution [3][19]. - BFL has released two versions of the model: FLUX.1 Kontext [pro] for rapid iterative editing and FLUX.1 Kontext [max] for enhanced performance and adherence to prompts [16][17]. Group 2: Company Background - BFL was founded in August 2022 by Robin Rombach, a key engineer behind Stable Diffusion, and has quickly gained attention in Europe [6][15]. - The company has received investments from notable venture capital firms such as General Catalyst and Andreessen Horowitz, and its AI models are among the most downloaded [6][15]. - BFL currently employs around 30 staff, with a significant number coming from Stability AI, indicating a strong foundation in AI expertise [14]. Group 3: Competitive Landscape - FLUX.1 Kontext is positioned to compete with established models like MidJourney and Adobe's Firefly, which also offer image generation and editing capabilities [17][30]. - The model's unique flow-based approach differentiates it from diffusion models used by competitors, potentially offering more flexibility in image generation tasks [19][20]. - Early user feedback on FLUX.1 Kontext has been positive, highlighting its impressive performance in generating and editing images quickly [23][28].