1. 十多年前开始，韩国首尔的一些街区出现了一种奇怪的垃圾桶。 按理来说，公共垃圾桶的设计目标，应该是「装得多」「好清理」「外观美」之类的。但首尔这些垃圾桶完全走向了反面，它的核心机制是称重传感器、 RFID 射频。市民刷卡，盖子徐徐打开，扔完垃圾，屏幕上会显示刚才扔了多少克垃圾， 并且精准地从账户里扣钱。 资本主义又在剥削普通人了？如果你非要这么想的话，确实。 但从更大的维度来看，它用一种「斤斤计较」的方式，变相为首尔市民制造麻烦，带来不适——从而最终降低社会总体的垃圾产生量。 结果是有效的。自从普及以来，当地的厨余垃圾排放量大幅度下降，垃圾桶的使用率变低了。整个首尔市的单日食物浪费，和 2013 年相比降低了 24%。 在首尔松坡区，食物回收项目负责人表示，这些垃圾桶帮助该区在六年里减少了 47000 吨食物垃圾。 这类用得越少越成功的产品，其实底层逻辑非常多样、有趣，令人着迷。 图片来源：卫报 在过去，垃圾桶是沉默的容器，是消费、浪费行为的最终出口。而这种智能垃圾桶的设计，在逻辑链条上产生了一个奇妙的扭曲：它故意在市民的生活中 平添了「摩擦」，让你意识到垃圾多了不仅不好，而且后果与每个人有着直接的财务联 ...

Core Insights - The article highlights the journey and insights of Aatish Nayak, a product leader in the AI sector, particularly focusing on his role at HarveyAI and previous experiences at Scale AI and Shield AI [3][4]. Company Overview - HarveyAI, an AI startup focused on the legal sector, is projected to quadruple its revenue in 2024, nearing $50 million in annual recurring revenue (ARR) and achieving a valuation of $3 billion [3]. - Scale AI, where Nayak previously worked, expanded from 40 to 800 employees and is now valued at $10 billion [3]. - Shield AI, another company where Nayak served as product lead, provides AI services for national security and has a valuation of $5 billion [3]. Product Development Insights - In the generative AI era, user experience has become a critical differentiator as model costs decrease [3]. - Companies should discern between personalized customer needs and broader market demands, being willing to say "no" to excessive customization [4][8]. - Listening to cutting-edge customer feedback is essential for defining market needs [7]. - The importance of a strong market is emphasized; without it, companies are likely to fail [11]. - The phrase "channels are king, but product is respected" underscores the need for substantial product content to maintain traction after initial market entry [12]. User Experience and AI Integration - AI should facilitate user choices rather than burden users with model selection [24]. - The "IKEA effect" suggests that involving users in the product assembly process can enhance their sense of ownership and responsibility [14]. - Companies must prioritize user experience over basic model offerings to create lasting value [13]. Challenges in High-Growth Environments - High-growth companies often face challenges in prioritizing customer demands and decision-making processes [15]. - Effective communication and relationship-building with founders are crucial for addressing potential missteps in product direction [16]. Future of AI Products - Model companies will increasingly need to transition into product companies, focusing on user experience and design [25]. - The integration of domain expertise will become vital in bridging the gap between models and user applications in specific fields [27]. Talent and Market Dynamics - The AI talent pool is strong in regions like London, which may offer advantages over traditional tech hubs like San Francisco [35]. - Companies like OpenAI and Anthropic are seen as attractive employers for top talent in the AI sector [36].