Tweet analysis of LLM video prompts: 84.6% supportive, 3.8% confronting. Shows prompt samples for character bibles, shot lists, camera direction and notes.
This is basically what it took to bring this video to life. Below are the prompts I used for character bible, shot list, camera direction, notes etc. Just copy and paste it into your favorite LLM and ask it to replace it with your character and world. 🌸 https://t.co/HHHSxf9A2b
Real-time analysis of public opinion and engagement
What the community is saying — both sides
multiple replies gush with emojis and thanks: “perfect,” “just wow,” and heartfelt appreciation for the finished work.
several commenters say the post’s worth comes from the exact prompts and shot lists: “ten times more valuable” and “the shot list gives it structure; the bible keeps it grounded.”
repeated questions: “What AI model was used?” and requests to “provide training” show people want the toolchain and how-to, not just the result.
readers want to copy or riff on the workflow: suggestions like “gugu gaga doll unboxing,” “I’m totally going to do it,” and “perfect for Octo” signal immediate community adoption.
some replies react with astonishment: “Wait, this whole thing is AI?” — a mix of curiosity and skepticism about the production method.
Replies denounce the tweet as an explicit call to violence and demand the poster be reported and removed from the platform.
Many say threats like "bomb the data centers" should be treated seriously and referred to police or platform safety teams.
Some argue the line is rhetorical exaggeration, not a real plan, and urge not to overreact.
Users ridicule the dramatic wording and the author's credibility rather than engage seriously.
A thread of replies warns against overbroad censorship, insisting context matters and that harsh moderation can be abused.
Commenters highlight the real-world harm such attacks would cause—disrupting emergency services, businesses and individuals—and call for nonviolent solutions.
Most popular replies, ranked by engagement
Character sheet: Generate a professional character bible sheet, strictly matching this layout format: - White background, light gray fine grid lines, modular sections. - Top left: Character name in ALL CAPS + katakana + role subtitle. - Left column: Character base info (ROLE,
Tools I used: Chatgpt Image V2 and Nano Banana 2 on @AdobeFirefly Seedance on @dreamina_ai Upscaling on @topazlabs Stitching and editing on @capcutapp ♥
The girl (Luna) I generated with @NanoBanana but used @ChatGPTapp Image V2 for the 3 story boards I used. The prompts are: 1⃣ 生成一张专业影视分镜表图片，严格复刻以下布局格式： - 白色背景，黑色粗网格线，顶部对齐的5列表格。 - 第一列：黑色圆圈编号 ① ② ③ ④ ⑤ ⑥。 -
Awful , bomb the data centers
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