把 Anthropic 的 S-1 链接甩给 Opus,它创作了一座菜园。
角度是它自己挑的。招股书里写着,算力通常要提前 12–18 个月签下,于是算力账单成了棚,先搭好;营收是豆苗,往上生长。
六个季度,豆子从 3.76 亿美元长到 116 亿,涨了 30.7 倍,棚只高了 5.9 倍。2026 年一季度,豆尖越过棚顶;二季度开了花,首次经营盈利 9.74 亿。
它还翻出一个反直觉的数字:同一季度净亏 663 亿,九成是可转债跟着估值上涨做的账面重估。估值越高,账面亏得越多。
读招股书、选角度、抽数核账,agent 按 SOP 完全自治,挑刺我来 😂。
种菜传送门在一楼,园子里还有彩蛋哦 ⬇️
Once the damselfly was done, I wanted to see if that same skill could handle any subject, especially infographics. So I extended it with rules for turning real data into a world you can explore.
The Short Blanket is the first thing it made after that. Honestly, it turned out better than I expected.
How this came together:
It started with a different piece: the life of a damselfly, from egg to egg, as a 75-second hand-colored copperplate film. Every frame drawn in code by Opus.
While building it, I kept writing down what worked (and what kept going wrong) and turned it into a reusable skill.
Try it yourself: drag around, zoom in, tap a bed to see the numbers.
glintiary.com/short-blanket.…
Saw all those frame-by-frame, hand-drawn animations going around my timeline and got curious: what if Opus took a boring data table and turned it into a little stage you can actually walk into?
So I handed it a sleep dataset. It built a moonlit dorm: one bed for each stress level, and every blanket is exactly as long as the hours slept. Drag around, zoom in, tap a bed to see the numbers.
Stress, not steps, decides how long your night is.
Honestly? We're barely scratching the surface of what this model can do.
Link in the reply ⬇️
Fins drawn along the bending body look fine on a shark.
A humpback stays curled all the way round its bubble net, and its flippers are a third of its length. same method, the outer one balloons (koi too).
So fins are pinned stiff at the root now. porting was mostly re-checking what quietly worked.
Couldn't stop poking at this. the shark is literally a wiggly spine, and the letters just work out what they're sitting on.
So I swapped in koi and gave them a pond with wind and ripples. tap the water and they come eat.
体验 letterfall.glintiary.com
这回从设计到发布,整条流水线都交给了 Claude Code
1️⃣ 按需求搭出可交互、带声效的实时 3D 场景
2️⃣ 对照历次积累的踩坑记录精修
3️⃣ 排一段首尾相接的剧情,导出循环视频
4️⃣ 给社交平台做封面卡片 (ogimage)
5️⃣ 发布到 Cloudflare,得到一个打开就能玩的链接
6️⃣ 维护仓库里各个案例和文档之间的双向链接,下个同类项目直接接上这次的沉淀
能一路顺下来,靠的是这个 LLM wiki 里沉淀的个人画像、方法和脚本,我只管说清楚想要什么。
上次说建模学晚了就不用学了,这次拿打字机试了试能做到多沉浸。
在浏览器里真能打字:每个键是一根连着字锤的杠杆,纸上有纤维、逐字压出的凹痕和背面透出的反字。敲击声是代码现合成的,照一台 1940 年 Erika 5 的录音标定(agent 自发)。中文走模拟拼音,选好字再一个个敲上去。
整台机器没有一个模型文件、一段录音,全是 Opus 5.5 写出来的。⬇️




