My spicy take on vibe coding for PMs

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This approach shares a lot in common with the idea of multivariate interpolation over scattered data. Multivariate interpolation attempts to estimate values at unknown points within an existing data set and is often used in fields such as geostatistics or for geophysical analysis like elevation modelling. We can think of our colour palette as the set of variables we want to interpolate from, and our input colour as the unknown we’re trying to estimate. We can borrow some ideas from multivariate interpolation to develop more effective dithering algorithms.

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随着企业数字化转型深入,Data + AI 一体化成为技术架构的核心方向。传统数据湖主要管理结构化与半结构化数据(如 Parquet、JSON),如今正向全模态统一治理演进,将图片、音频、视频等非结构化文件纳入湖仓体系,实现“一湖多源”统一存储与管理。同时,计算引擎从单一大数据工具扩展至支持 AI 场景 Spark、Ray 等分布式框架,推动开发平台向一站式、智能化发展。