使用AI暴力模拟月全食的绿松石带
月食时月面边缘有一条青绿色的窄带,科普说那是臭氧吸收。但为什么是窄带不是整圈?为什么全食最深时反而看不见它?我们从最土的白圆盘开始,一层层加物理,硬算出这条带,在一路翻车里发现了一个更大的问题:AI 太懂物理,反而会把你带进前人留下的近似里。
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Articles tagged AI Technique.
月食时月面边缘有一条青绿色的窄带,科普说那是臭氧吸收。但为什么是窄带不是整圈?为什么全食最深时反而看不见它?我们从最土的白圆盘开始,一层层加物理,硬算出这条带,在一路翻车里发现了一个更大的问题:AI 太懂物理,反而会把你带进前人留下的近似里。
During a lunar eclipse, a narrow green-blue band appears at the moon's edge; popular science says it is ozone absorption. But why a narrow band instead of a full ring? Why does it vanish at deepest totality? We start from the simplest white disk, layer in physics, and compute the band — and through repeated failures discover a bigger problem: AI knows physics too well, and will happily lead you into approximations left behind by earlier researchers.
从最直白的"一星一像素"出发,八次翻车、六亿颗星,一步一步把银河从真实星表里逼出来。在这个过程中才发现,以前从来没认真想过头顶的星空为什么长这个样子。
Starting from the simplest "one star, one pixel" rendering, eight failures and 600 million stars later, the Milky Way slowly emerged from a real star catalog.
Prompt不是需求本身,而是用信息搭建的临时世界。新模型实现了context-driven emergence:AI在沉浸式语境中被迫变聪明,从你的草稿和删除痕迹中长出更懂你的能力。
A prompt is a temporary world you construct with information. New models enable context-driven emergence—AI becomes smarter within immersive context, learning your preferences and style from unfinished drafts and deleted text.
四步实现GPT文生图的商业级精准可控:用视觉撬动AI思维、用遮罩迭代生成、让AI当合伙人、用文档管理打造AI资产库,生成可复用的统一视觉风格。
Four techniques to achieve commercial-grade flowcharts and visualizations with GPT's image generation: visual prompts, masking for iteration, AI brainstorming, and document management for reusable assets.
以去除AI味、让AI用自己风格写作为例,介绍微调的适用场景、数据准备方法和技术细节,以及如何避免灾难性遗忘和模型坍缩等风险。
Explains fine-tuning as a solution for making AI adopt specific writing styles, detailing when it's appropriate, the data preparation process, and technical considerations for avoiding catastrophic forgetting.