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| name | root-cause-solution |
|---|---|
| description | Use when implementing features or fixing bugs to define the intended behavior from first principles, trace where the current code diverges from it, generate and score several candidate solutions, and propose the most correct one. |
Treat any proposed solution as one candidate, whether it comes from an issue, a review, the user or your own first idea. Being proposed proves nothing about whether it is right. Preserve the user's intended outcome and any explicit constraints.
Never propose the first solution you think of. First ideas tend to accept the existing structure and adjust it locally. Work through the steps below before you choose.
使用本指令碼即表示你同意《免責聲明》。
本指令碼用於繞過臺灣電子書與教學工具的前端驗證,達成不需要教師帳號即可使用。
Oct 9 2026 -- Eyad Amr -- GitHub -- Discord
Ladies and gentlemen. Have you ever been kicked in the head by a donkey? Well most of us (hopefully) have not been literally kicked in the head by any animal, but if we talk about this figuratively, you've faced the many amounts of:
- "rustc [E0597]: borrowed value does not live long enough"
- "error[E0499]: cannot borrow
vas mutable more than once at a time" - "error[E0502]: cannot borrow
vas immutable because it is also borrowed as mutable"
目的に制限のかからない無検閲LLMを使うために、数十万円かけてローカルLLM実行環境を用意する必要はあるでしょうか? Qwen 3.8 27B Uncensoredが話題になったここ数週間、そうした相談を受けることが増えました。 結論を言えば、ほとんどのケースでその必要はありません。
よくある推論APIでは、プロンプトを文字列のまま送り、またレスポンスの主な要素として文字列を受け取ります。 事業者によっては内容をモニターしており、ポリシーに反する内容を検出すれば、そこに悪意がなくとも利用に制限がかかります。これは、生物化学系の研究やサイバーセキュリティにおけるペンテスト(penetration test)などを行う上では非常に不便です。 ローカルLLMはその回避を主目的の一つとして発展してきましたが、そもそもAI企業の規制を掻い潜るのに手元に機材を揃える必要はありません—クラウド上に自身でデプロイし、必要なときだけ呼び出せばいいのですから。そしてそれは、パラメータに刷り込まれたガードレールすらも排除したuncensored LLMにおいても同じことです。
| uniform sampler2D depths; | |
| uniform sampler2D wc_normals; | |
| uniform sampler2D random_texture; | |
| uniform vec3 wc_camera_eye_position; | |
| uniform floatz_far; | |
| uniform vec2 tc_window; | |
| uniform mat4 projection_matrix; |
WARNING: This process is EXTREMELY experimental and not officially supported yet!
Thanks to the ongoing work on .NET WebAssembly support, it is now possible to build FNA games for the web!
If you decide to give this a try, be sure to tell us about it in the FNA Discord! I'm happy to help if you run into problems or have any further questions that are not answered here.
| LC_ALL=C tr -dc 'A-Za-z0-9!?%=' < /dev/urandom | fold -w 20 | grep -m1 -P '^(?=.*[A-Z])(?=.*[a-z])(?=.*[0-9])(?=.*[!?%=])' |
| { | |
| "2164": { | |
| "id": "2164", | |
| "artist": "Lucky Star Cast", | |
| "artist_unicode": "Lucky Star Cast", | |
| "title": "Hamatte Sabotte Oh My Ga! (Short Ver.)", | |
| "title_unicode": "Hamatte Sabotte Oh My Ga! (Short Ver.)", | |
| "creator": "James", | |
| "user_id": "5728", | |
| "status": "ranked", |
