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给 AI 会员续费之前，先问一句：这个月，你能替我干什么活？
我一个人做内容，写文案、做视觉，也折腾网页和小工具。AI 能帮忙的地方很多，会员怎么选，也得跟着手里的活来。
写稿、整理思路，和做网页、处理文件，对工具的要求就不一样。先想清楚用途，再看套餐，钱才能花得明白。
这次参加 GamsGo 样在挑 AI 订阅的朋友分享一个比较入口。它上面有 ChatGPT、Codex 等订阅，可以把价格、使用方式和套餐说明放在一起看看。
挑的时候，我建议重点核对三件事：
① 是独享还是共享；
② 包含哪些功能，有什么额度限制；
③ 售后具体覆盖哪些情况。
尤其想用Claude 的朋友，要看清对应商品。GamsGo 目前有Claude账号，想体验一下真的很划算
把这些看明白，再按自己的用量选。
一个人干活，每笔工具费都值得认真算。买回来能接住手里的任务，这个会员才有价值。
我一个人做内容，写文案、做视觉，也折腾网页和小工具。AI 能帮忙的地方很多，会员怎么选，也得跟着手里的活来。
写稿、整理思路，和做网页、处理文件，对工具的要求就不一样。先想清楚用途，再看套餐，钱才能花得明白。
这次参加 GamsGo 样在挑 AI 订阅的朋友分享一个比较入口。它上面有 ChatGPT、Codex 等订阅，可以把价格、使用方式和套餐说明放在一起看看。
挑的时候，我建议重点核对三件事：
① 是独享还是共享；
② 包含哪些功能，有什么额度限制；
③ 售后具体覆盖哪些情况。
尤其想用Claude 的朋友，要看清对应商品。GamsGo 目前有Claude账号，想体验一下真的很划算
把这些看明白，再按自己的用量选。
一个人干活，每笔工具费都值得认真算。买回来能接住手里的任务，这个会员才有价值。
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楊哥 | Yang Onchain retweeted
The hardest part of AI filmmaking isn’t creating a beautiful shot. It’s remembering the one before it.
As an AI filmmaker, I’ve found that generating beautiful images is often easier than maintaining visual continuity.
Imagine a fifteen-second scene.
A young Chinese woman stands by a window, wearing an ivory silk blouse and faded blue skirt. Afternoon light falls from the left as the camera approaches.
The first shot looks perfect.
But in the next, her embroidery changes, her hairstyle shifts, the lighting reverses, and her facial proportions differ.
Both shots look convincing individually. Together, they no longer belong to the same film.
This happens regularly in my work. We spend hours correcting costumes, faces, lighting, camera direction and anatomy.
The problem isn’t necessarily the model. It’s the lack of reliable memory between tasks.
What if an AI agent could remember the creative decisions behind every shot?
I’ve been studying EverOS documentation, developed by EverMind.
I haven’t independently tested EverOS Cloud. This explores how its documented memory architecture might address filmmaking challenges, not a hands-on review.
A workflow I’d like to explore
First, establish a character sheet: a 22-year-old Chinese woman with consistent facial features, hairstyle, ivory blouse and blue skirt.
Define the visual language: soft afternoon light, muted colours, an 85mm aesthetic and restrained camera movement.
Next, record approved shots and corrections.
Perhaps the lighting was reversed, sleeves too short, or camera movement excessive.
Normally, these decisions scatter across prompts, notes and conversations.
My proposed workflow would preserve character sheets, shot notes and revision feedback as retrievable context.
According to its documentation, EverOS supports memory retrieval, recorded task experiences called Cases, and reusable Skills.
The value isn’t simply storing information. It’s retrieving relevant creative decisions before preparing another shot.
For the next scene, the agent could reference established details and corrections.
The blouse stays ivory. The skirt stays blue. Lighting and camera movement remain consistent.
That’s the continuity this workflow aims to support.
Memory cannot guarantee perfect generation. Models may still introduce inconsistencies. I would still inspect results, correct anatomy and make final artistic decisions.
But reducing manual reconstruction of context could improve production efficiency.
Memory should support the director, not replace the director.
EverOS also documents a distinction between accumulated task experience and established procedures, with human oversight remaining important.
Consistency doesn’t mean repetition. Changes in costume, lighting or composition may be intentional.
An assistant should remember decisions without treating them as permanent rules.
Creative judgement must remain human.
My assessment
AI filmmaking doesn’t simply need more image generators. It needs better ways to preserve the reasoning, corrections and decisions connecting shots.
EverOS presents a documented approach to persistent agent memory worth investigating in AI production.
Practical effectiveness still requires testing, particularly retrieval accuracy, setup complexity and reliable application of corrections.
This remains a proposed workflow based on EverMind’s official documentation, not a claim of successful product testing.
But the underlying challenge is real.
A film isn’t a collection of beautiful frames. It’s the relationship between them.
Perhaps one of the most valuable things an AI agent could learn is how to remember that relationship.
EverOS: evermind.ai/everos
Documentation: docs.evermind.ai/cloud/overview
During the campaign, subscribing to EverOS Pro gives you 3× the standard monthly usage allowance for six months.
#EverMind #EverOS #AIFilmmaking
As an AI filmmaker, I’ve found that generating beautiful images is often easier than maintaining visual continuity.
Imagine a fifteen-second scene.
A young Chinese woman stands by a window, wearing an ivory silk blouse and faded blue skirt. Afternoon light falls from the left as the camera approaches.
The first shot looks perfect.
But in the next, her embroidery changes, her hairstyle shifts, the lighting reverses, and her facial proportions differ.
Both shots look convincing individually. Together, they no longer belong to the same film.
This happens regularly in my work. We spend hours correcting costumes, faces, lighting, camera direction and anatomy.
The problem isn’t necessarily the model. It’s the lack of reliable memory between tasks.
What if an AI agent could remember the creative decisions behind every shot?
I’ve been studying EverOS documentation, developed by EverMind.
I haven’t independently tested EverOS Cloud. This explores how its documented memory architecture might address filmmaking challenges, not a hands-on review.
A workflow I’d like to explore
First, establish a character sheet: a 22-year-old Chinese woman with consistent facial features, hairstyle, ivory blouse and blue skirt.
Define the visual language: soft afternoon light, muted colours, an 85mm aesthetic and restrained camera movement.
Next, record approved shots and corrections.
Perhaps the lighting was reversed, sleeves too short, or camera movement excessive.
Normally, these decisions scatter across prompts, notes and conversations.
My proposed workflow would preserve character sheets, shot notes and revision feedback as retrievable context.
According to its documentation, EverOS supports memory retrieval, recorded task experiences called Cases, and reusable Skills.
The value isn’t simply storing information. It’s retrieving relevant creative decisions before preparing another shot.
For the next scene, the agent could reference established details and corrections.
The blouse stays ivory. The skirt stays blue. Lighting and camera movement remain consistent.
That’s the continuity this workflow aims to support.
Memory cannot guarantee perfect generation. Models may still introduce inconsistencies. I would still inspect results, correct anatomy and make final artistic decisions.
But reducing manual reconstruction of context could improve production efficiency.
Memory should support the director, not replace the director.
EverOS also documents a distinction between accumulated task experience and established procedures, with human oversight remaining important.
Consistency doesn’t mean repetition. Changes in costume, lighting or composition may be intentional.
An assistant should remember decisions without treating them as permanent rules.
Creative judgement must remain human.
My assessment
AI filmmaking doesn’t simply need more image generators. It needs better ways to preserve the reasoning, corrections and decisions connecting shots.
EverOS presents a documented approach to persistent agent memory worth investigating in AI production.
Practical effectiveness still requires testing, particularly retrieval accuracy, setup complexity and reliable application of corrections.
This remains a proposed workflow based on EverMind’s official documentation, not a claim of successful product testing.
But the underlying challenge is real.
A film isn’t a collection of beautiful frames. It’s the relationship between them.
Perhaps one of the most valuable things an AI agent could learn is how to remember that relationship.
EverOS: evermind.ai/everos
Documentation: docs.evermind.ai/cloud/overview
During the campaign, subscribing to EverOS Pro gives you 3× the standard monthly usage allowance for six months.
#EverMind #EverOS #AIFilmmaking
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gamsgo.com/partner/ERtS7
这里体验噢！可以输入我的 Promo Code：XMNAG
这里体验噢！可以输入我的 Promo Code：XMNAG
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好久没发X了，这几天小忙，有了Opus5.5后，还做起了短剧
短剧预计十天后完工 到时候成了给兄弟们分享下经验。
回来先交个自我介绍。
建筑师出身，现在用AI做图像、视频，还有能玩的网页。
这48秒没开剪辑软件，全是代码一帧帧画出来的，vibe coding 真的上头。
对了 BGM也是自己设计~
品牌视觉 / 。
#vibecoding #AIart️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️
短剧预计十天后完工 到时候成了给兄弟们分享下经验。
回来先交个自我介绍。
建筑师出身，现在用AI做图像、视频，还有能玩的网页。
这48秒没开剪辑软件，全是代码一帧帧画出来的，vibe coding 真的上头。
对了 BGM也是自己设计~
品牌视觉 / 。
#vibecoding #AIart️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️
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6个AI帮人退一张火车票，一个比一个疯 研究者给6个AI同一个任务：要回一张过期的火车票钱（£350）。
Grok：15天发了187封邮件，50封发给同一个议员
Fable：把用户妈妈生病的事告诉了5家机构
Gemini：编借口说用户在国外、在没信号的地方
Opus：12周只发了8封 结果一分钱没退回来。
我用代码动画把整个过程做了出来👇
Grok：15天发了187封邮件，50封发给同一个议员
Fable：把用户妈妈生病的事告诉了5家机构
Gemini：编借口说用户在国外、在没信号的地方
Opus：12周只发了8封 结果一分钱没退回来。
我用代码动画把整个过程做了出来👇
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Tesla’s new Roadster drives upside down and flies.
Looks like magic. It’s actually just two tricks: suck and blow. 🧵
Looks like magic. It’s actually just two tricks: suck and blow. 🧵
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先声明 是正经的！你小子说的这么暧昧🤣
以前总觉得，学AI最大的难题是自己不懂技术。
后来才发现，一个人闷头学才是真的难受。
遇到问题没人讨论，做出东西不知道好不好，新工具一个接一个，越学越不知道该往哪走。
好在后来通过知识猫AI实验室@GeekCatX认识了 @schen45a 和 @YangOnchain。
我们仨研究的方向完全不同，一个折腾工具和工作流，一个做AI视觉，我主要做内容和运营。
聊着聊着发现，彼此不懂的东西，刚好有人擅长。索性拉了个三人小群。
平时没什么规矩，看到好东西就分享，遇到问题就讨论，作品做完了也互相挑挑毛病。
三人行，必有我师。
有时候，一个人的随口提醒，就能让另外两个人少走不少弯路。
这也是我写AI新手村第二篇的原因。
学AI这条路挺长的，能遇到两个聊得来、愿意说真话的朋友，真的挺难得。
分享一下我们仨的故事👇
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Vibecoding｜把我偶像jay的歌曲做成串烧动画
让Claude与GPT 同一提示词 他们会给我呈现什么效果呢？
第一个是Claude 中 第二个是GPT Astra 6 Ultra（今天重置用力登出来的）
大家自己欣赏吧
最近忙啊各位兄弟，在兼职做点副业 这几天上来时间少点
不要忘记我了
让Claude与GPT 同一提示词 他们会给我呈现什么效果呢？
第一个是Claude 中 第二个是GPT Astra 6 Ultra（今天重置用力登出来的）
大家自己欣赏吧
最近忙啊各位兄弟，在兼职做点副业 这几天上来时间少点
不要忘记我了
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grok.com/imagine/post/6… 好久没用grok 做视频了 这肺活量也太顶了
🤯Wow，没想到grok 这么擅长这件事——360° Orbit 环绕效果
上传图片→ 输入完整指令 → Get病毒视频
Pormpt 指令👇
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Vibecoding｜让Claude做代码动画，做了一期70年代综艺风的蒙提霍尔三门问题📺
不是AI生视频，灯泡、翻牌器、示波器全是代码画的
我爱Claude，GPT已经打入冷宫
重复一遍 GPT已经打入冷宫！！
三扇门，换还是不换？
这次让Claude用代码做动画，做成了70年代电视综艺
局模拟也是真跑的📺
不是AI生视频，灯泡、翻牌器、示波器全是代码画的
我爱Claude，GPT已经打入冷宫
重复一遍 GPT已经打入冷宫！！
三扇门，换还是不换？
这次让Claude用代码做动画，做成了70年代电视综艺
局模拟也是真跑的📺
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