Always in the middle of something.

Fitting a preprocessing or feature-selection step on the whole dataset before the train/test split leaks the labels and inflates a model's estimated accuracy. A pure-noise scikit-learn run shows the gap, and the pipeline fix closes it.

is 比對物件身分，== 比對值。小整數快取讓某些整數上兩者剛好一致，但那是不保證的 CPython 實作細節，整數值該用 == 比。

On July 18, 2026, Anthropic reversed its month-long plan to meter Claude Fable 5 and is keeping it in subscriptions permanently. Here is what changes on July 20 for Max, Team Premium, Pro, and Team Standard — and why a run of competitor launches made the reversal hard to avoid.

Anthropic 原本要在免費期後把 Claude Fable 5 從訂閱移除、改走計量付費，一個多月來截止日一延再延。7/18 方向翻轉：7/20 起把 Fable 5 併回 Max 與 Team Premium 訂閱、永久包含。這篇整理這段來回的時間軸、新的訂閱條款，還有 GPT-5.6 Sol 跟 Kimi K3 這波競爭扮演的角色。

GLM 5.2 shipped with open weights under an MIT license, which generally permits third parties to host and commercialize inference. As of writing, OpenRouter lists twenty-five providers offering it, at input prices from $0.93 to $3.00 per million tokens.

據 CNBC 報導，美國公司經 OpenRouter 用在中國 AI 模型上的 token 佔比，從前十二個月平均 11% 升到 2 月 8 日以來每週 30% 以上、最高 46%。受訪者明確指出價格正在推動任務分流；六月的模型下架與解禁，也讓取用穩定性成為要一起看的風險。

從一段重打到第三次、懶得再打的 prompt，到一套會自己留收據的系統，中間隔了好幾層。這篇一層一層走一遍：每一層都是被前一層某個具體的毛病逼出來的，而這條路這個部落格自己走過，每一層都留了一篇當時的記錄。

A browser-based JSON formatter that prettifies, minifies, and points to the exact line and column where a payload won't parse — all in your browser. Plus the cases where jq or python -m json.tool is all you need.

A prompt and a skill can contain the same words. The difference is the machinery around them: a skill is a file the model loads on its own when your request matches its one-line description, and it can declare inputs, tools, and a scope it won't cross. Here's how that loading works and why it lets you build things a prompt can't.

OpenAI shipped GPT-5.6 as Sol, Terra, and Luna on July 9, 2026, and quietly ended the dedicated Codex checkpoint. What replaced it is a reasoning-effort dial whose top notch spawns subagents. This post lays out the three models, the six effort levels, and what the independent benchmarks measured.