Some authors have it backwards. They believe that AI companies should pay them for training AIs on their books. But I predict in a very short while, authors will be paying AI companies to ensure that their books are included in the education and training of AIs. The authors (and their publishers) will pay in order to have influence on the answers and services the AIs provide. If your work is not known and appreciated by the AIs, it will be essentially unknown.
Recently, the AI firm Anthropic agreed to pay book authors a collective $1.5 billion as a penalty for making an illegal copy of their books. Anthropic had been sued by some authors for using a shadow library of 500,000 books that contained digital versions of their books, all collected by renegade librarians with the dream of making all books available to all people. Anthropic had downloaded a copy of this outlaw library in anticipation of using it to train their LLMs, but according to court documents, they did not end up using those books for training the AI models they released. Even if Anthropic did not use this particular library, they used something similar, and so have all the other commercial frontier LLMs.
However the judge penalized them for making an unauthorized copy of the copyrighted books, whether or not they used them, and the authors of all the copied books were awarded $3,000 per book in the library.
The court administrators in this case, called Bartz et al v. Anthropic, have released a searchable list of the affected books on a dedicated website. Anyone can search the database to see if a particular book or author is included in this pirate library, and of course, whether they are due compensation. My experience with class action suites like this is that very rarely does award money ever reach people on the street. Most of the fees are consumed by the lawyers of all sides. I notice that in this case, only half of the amount paid per book is destined to actually go to the author. The other 50% goes to the publishers. Maybe. And if it is a text book, good luck with getting anything.
I am an author so I checked the Anthropic case list. I found four out of my five books published in New York included in this library. I feel honored to be included in a group of books that can train AIs that I now use everyday. I feel flattered that my ideas might be able to reach millions of people through the chain of thought of LLMs. I can imagine some authors feeling disappointed that their work was not included in this library.
However, Anthropic claims it did not use this particular library for training their AIs. They may have used other libraries and those libraries may or may not have been “legal” in the sense of having been paid for. The legality of using digitized books for anything is still in dispute. For example, Google digitizes books for search purposes, but only shows small snippets of the book as the result. Can they use the same digital copy they have already made for training AI purposes? The verdict in the Bartz v. Anthropic case was that, yes, using a copy of a book for training AI is fair use, if it was obtained in a fair way. Anthropic was penalized not for training AI on books, but for having in its possession a copy of the books it had not paid for.
This is just the first test case of what promises to be many more tests in the future as it is clear that copyright law is not adequate to cover this new use of text. Protecting copies of text – which is what copyright provisions do – is not really pertinent to learning and training. AIs don’t need to keep a copy; they just have to read it once. Copies are immaterial. We probably need other types of rights and licenses for intellectual property, such as a Right of Reference, or something like that. But the rights issue is only a distraction from the main event, which is the rise of a new audience: the AIs.
Slowly, we’ll accumulate some best practices in regards to what is used to train and school AIs. The curation of the material used to educate the AI agents giving us answers will become a major factor in deciding whether we use and rely on them. There will be a minority of customers who want the AIs to be trained with material that aligns with their political bent. Devout conservatives might want a conservatively trained AI; it will give answers to controversial questions in the manner they like. Devout liberals will want one trained with a liberal education. The majority of people won’t care; they just want the “best” answer or the most reliable service. We do know that AIs reflect what they were trained on, and that they can be “fine tuned” with human intervention to produce answers and services that please their users. There is a lot of research in reinforcing their behavior and steering their thinking.
Half a million books sounds like a lot of books to learn from, but there are millions and millions of books in the world already that the AIs have not read because their copyright status is unclear or inconvenient, or they are written in lesser-used languages. AI training is nowhere near done. Shaping this corpus of possible influences will become a science and art in itself. Someday AIs will have really read all that humans have written. Having only 500,000 books forming your knowledge base will soon be seen as quaint, but it also suggests how impactful it can be to be included in that small selection, and that makes inclusion a prime reason why authors will want their works to be trained on AIs now.
The young and the earliest adopters of AI have it set to always-on mode; more and more of their intangible life goes through the AI, and no further. As the AI models become more and more reliable, the young are accepting the conclusions of the AI. I find something similar in my own life. I long ago stopped questioning a calculator, then stopped questioning Google, and now find that most answers from current AIs are pretty reliable. The AIs are becoming the arbiters of truth.
AI agents are used not just to give answers but to find things, to understand things, to suggest things. If the AIs do not know about it, it is equivalent to it not existing. It will become very hard for authors who opt out of AI training to make a dent. There are authors and creators today who do not have any digital presence at all; you cannot find them online; their work is not listed anywhere. They are rare and a minority. As Tim O’Reilly likes to say, the challenge today for most creators is not piracy (illegal copies) but obscurity. I will add, the challenge for creators in the future will not be imitation (AI copy) but obscurity.
If AIs become the arbiters of truth, and if what they trained on matters, then I want my ideas and creative work to be paramount in what they see. I would very much like my books to be the textbooks for AI. What author would not? I would. I want my influence to extend to the billions of people coming to the AIs everyday, and I might even be willing to pay for that, or to at least do what I can to facilitate the ingestion of my work into the AI minds.
Another way to think of this is that in this emerging landscape, the audience for books – especially non-fiction books – has shifted away from people towards AI. If you are writing a book today, you want to keep in mind that you are primarily writing it for AIs. They are the ones who are going to read it the most carefully. They are going to read every page word by word, and all the footnotes, and all the endnotes, and the bibliography, and the afterward. They will also read all your books and listen to all your podcasts. You are unlikely to have any human reader read it as thoroughly as the AIs will. After absorbing it, the AIs will do that magical thing of incorporating your text into all the other text they have read, of situating it, of placing it among all the other knowledge of the world – in a way no human reader can do.
Part of the success of being incorporated by AIs is how well the material is presented for them. If a book can be more easily parsed by an AI, its influence will be greater. Therefore many books will be written and formatted with an eye on their main audience. Writing for AIs will become a skill like any other, and something you can get better at. Authors could actively seek to optimize their work for AI ingestion, perhaps even collaborating with AI companies to ensure their content is properly understood, and integrated. The concept of "AI-friendly" writing, with clear structures, explicit arguments, and well-defined concepts, will gain prominence, and of course will be assisted by AI.
Every book, song, play, movie we create is added to our culture. Libraries are special among human inventions. They tend to get better the older they get. They accumulate wisdom and knowledge. The internet is similar in this way, in that it keeps accumulating material and has never crashed, or had to restart, since it began. AIs are very likely similar to these exotropic systems, accumulating endlessly without interruption. We don’t know for sure, but they are liable to keep growing for decades if not longer. At the moment their growth seems open ended. What they learn today, they will probably continue to know, and their impact today will have compounding influence in the decades to come. Influencing AIs is among the highest leverage activities available to any human being today, and the earlier you start, the more potent.
The value of an author's work will not just be in how well it sells among humans, but how deep it has been included within the foundational knowledge of these intelligent memory-based systems. That potency will be what is boasted about. That will be an author’s legacy.
如题，好想出生在MJJ世家。 我希望下辈子一出生，就躺在由树莓派和软路由搭成的婴儿床上。耳边回响着母亲调试家庭内网时传来的、规律的ping包回声声——她是业界顶尖的网络架构师，正在为新一代家庭云服务做端口映射配置。屏幕上iptables路由表流转，每一个网段、每一条防火墙规则，都如同精心编排的乐章，精确而协调。偶尔还能听到她配置内网穿透时的专注呢喃，调试RDP和VNC连接时的轻声哼唱，以及成功block掉几个恶意IP时的欢呼声，或是发现电信又把公网IP取消了时的愤怒咆哮。 父亲则俯身在一旁，用那双常年与ping0等无良IP质量查询厂商战斗、对IP质量检测极为敏感的手，轻轻调整着IP.Check.Place的查询参数。他刚写完一篇狂喷ping0娱乐性质的帖子归来，不厌其烦地向所有人展示那38段cogent"家庭宽带"和如何被ping0误判为极度风险的荒谬逻辑，身上还隐约带着maxmind和ipqs脚本特有的严谨数据分析气息，偶尔还会愤慨地提起lisa和proxy等无良厂商的种种劣迹。他手上还握有全世界各地的"家里云"家庭宽带IP资源，双ISP配置，什么VIRCS、qqpw、aaitrip段的各种套餐对他来说都是信手拈来，就好像他真的在世界各地都有家一样。每当有人羡慕时，他总是得意地说：“用我这个IP，任何网站都会觉得我就在当地的家里，永不风控。” 我们住在离IDC机房仅一街之隔的老楼里，客厅最显眼处是祖父的荣誉墙。他是行业公认的MJJ圈元老之一，手中掌控着几十个僵尸网络百万台肉鸡资源，专门用于对抗网络诈骗和跑路oneman网站——每当发现新的诈骗站点或者坑人厂商，他总是第一时间调动资源发起正义之战，让那些害人网站无法正常运行。圈内人都说他是"以暴制暴的程序正义践行者，用技术手段守护网络净土的隐形卫士"。他笑着用频率计数器测量我刚出生时挥舞的手臂，说我无意识摆动的节拍频率，像极了他当年设计的第一组最优CC攻击请求间隔算法。 祖母放下手中那支标注了无数域名到期日期的域名管理器，从她曾任顶级域名注册商首席域名顾问的老搭档手中接过我。她手上握有众多传说级的精品玉米——那些三字母、单数字、双拼的稀世珍宝，每天都有无数人慕名前来求购，开出天价也难以撼动她的收藏决心。这些域名在她手中静静地续费着，很少被启用，也极少对外出售，仿佛仅仅是拥有它们就已经是她人生最大的快乐。她用管理器上那枚已被磨得圆润的USB接口，极轻地触了触我的额头，仿佛在进行一场庄严的域名传承仪式。 此时，窗外隐约传来服务器风扇运转声，楼下停着一辆前来送样第一批企业级建站服务器的工程车。车上走下曾任云计算平台首席架构师的外公——他是业内公认的建站服务器专家，DDoS防御、SLA99.9%保障、网络安全加固、负载均衡配置对他来说都是信手拈来的基本功。传言他曾同时担任过netcup、OVH、Vultr三家巨头的首席技术顾问，手中掌控着从入门级VPS到顶配H100 GPU集群的全线产品资源。无论多么复杂的高并发建站需求，还是最前沿的AI算力部署，经他之手总能部署出稳如磐石的服务器集群。 角落里还坐着叔父，他手中握着一台显示着密密麻麻监控数据的探针设备，屏幕上闪烁着几千台服务器的实时状态。他是圈内公认的"绝版套餐收藏家"，手上囤积着各大厂商早已停售的传家宝级套餐——CN2GIA、9929、CMIN2、IPEL、IPLC、IXP这些顶级线路对他来说如数家珍。他能一眼看出哪家的大包小包有问题，哪家偷偷切了路由，哪家服务器跑不到一分钟就开始限速。嘴里时不时念叨着"慈善龙鸡"“瓦工aff”"家人云烧纸云"这些圈内黑话，没人能完全理解他在说什么，只是偶尔能听到他的哀嚎："我的传家宝套餐怎么又被清退了！"但说到探针上的那几千台机器时，他的眼中总是闪着骄傲的光芒，恨不得全世界都来围观他的监控面板。外婆凝视着我无意识捏起的小拳头，姿态像极了工程师握持网络钳的动作。她望着我朝墙上那幅巨大的网络拓扑图眨动的眼睛，目光里尽是期许。 "这孩子，"她轻声对所有人说，语气如同宣告一次成功的绝版套餐抢购，“呼吸间有SLA99.9%的节拍，心跳里有CloudFlare边缘节点的韵律。他将来读的不是童话，而是各家厂商的TOS条款；玩的不是积木，而是探针上密密麻麻的服务器监控面板。他注定要成为能一眼识破厂商套路、在绝版线路中寻觅珍宝的人。只是希望他别像叔父一样，老是忘记续费被删鸡。” 在这个世界里，最深的宠爱不是糖果与玩具，而是被允许用小手轻触那些传说级的绝版套餐控制面板；最重要的成人礼则是得到一台属于自己的、刻着编号001的裸金属物理机，然后亲手学会如何切割小鸡、调试IP段分配，看着一台台虚拟机从无到有地诞生在自己的掌控之下。 家族的传承，是那一脉相承的对"网络稳定不丢包"的执着、对"系统可用性SLA99"的追求，以及溶于血液的、在数据与服务之间构建连接的永恒信仰。外公在一旁点了点头，眼中闪过一丝欣慰的光芒：“总有一天，他会成为超售界的王者。” 参考文献 [1]好想出生在嵌入式硬件工程师世家[J]rednote2025,08. [2]好想出生在字节跳动世家[J]rednote,2025,08 [3]好想下辈子出生在药学世家[J]rednote,2025,08 [4]好想出生在工艺工程师世家[J]rednote,2025,08
先想想后来的感觉
我决定以后学习要全面系统 尽量先找大佬面向小白写的全局概览介绍
现用现学太低效了
在生前多参加葬礼 —— 你会发现人们只记得“你是怎样的人”，不是“你做过什么”。
你不是你说的、信的、或投票的；你是你每天花时间做的事。
习惯的目的是节省意志力 —— 把重要的行动变成自动化。
Paying AIs to Read My Books
Some authors have it backwards. They believe that AI companies should pay them for training AIs on their books. But I predict in a very short while, authors will be paying AI companies to ensure that their books are included in the education and training of AIs. The authors (and their publishers) will pay in order to have influence on the answers and services the AIs provide. If your work is not known and appreciated by the AIs, it will be essentially unknown.
Recently, the AI firm Anthropic agreed to pay book authors a collective $1.5 billion as a penalty for making an illegal copy of their books. Anthropic had been sued by some authors for using a shadow library of 500,000 books that contained digital versions of their books, all collected by renegade librarians with the dream of making all books available to all people. Anthropic had downloaded a copy of this outlaw library in anticipation of using it to train their LLMs, but according to court documents, they did not end up using those books for training the AI models they released. Even if Anthropic did not use this particular library, they used something similar, and so have all the other commercial frontier LLMs.
However the judge penalized them for making an unauthorized copy of the copyrighted books, whether or not they used them, and the authors of all the copied books were awarded $3,000 per book in the library.
The court administrators in this case, called Bartz et al v. Anthropic, have released a searchable list of the affected books on a dedicated website. Anyone can search the database to see if a particular book or author is included in this pirate library, and of course, whether they are due compensation. My experience with class action suites like this is that very rarely does award money ever reach people on the street. Most of the fees are consumed by the lawyers of all sides. I notice that in this case, only half of the amount paid per book is destined to actually go to the author. The other 50% goes to the publishers. Maybe. And if it is a text book, good luck with getting anything.
I am an author so I checked the Anthropic case list. I found four out of my five books published in New York included in this library. I feel honored to be included in a group of books that can train AIs that I now use everyday. I feel flattered that my ideas might be able to reach millions of people through the chain of thought of LLMs. I can imagine some authors feeling disappointed that their work was not included in this library.
However, Anthropic claims it did not use this particular library for training their AIs. They may have used other libraries and those libraries may or may not have been “legal” in the sense of having been paid for. The legality of using digitized books for anything is still in dispute. For example, Google digitizes books for search purposes, but only shows small snippets of the book as the result. Can they use the same digital copy they have already made for training AI purposes? The verdict in the Bartz v. Anthropic case was that, yes, using a copy of a book for training AI is fair use, if it was obtained in a fair way. Anthropic was penalized not for training AI on books, but for having in its possession a copy of the books it had not paid for.
This is just the first test case of what promises to be many more tests in the future as it is clear that copyright law is not adequate to cover this new use of text. Protecting copies of text – which is what copyright provisions do – is not really pertinent to learning and training. AIs don’t need to keep a copy; they just have to read it once. Copies are immaterial. We probably need other types of rights and licenses for intellectual property, such as a Right of Reference, or something like that. But the rights issue is only a distraction from the main event, which is the rise of a new audience: the AIs.
Slowly, we’ll accumulate some best practices in regards to what is used to train and school AIs. The curation of the material used to educate the AI agents giving us answers will become a major factor in deciding whether we use and rely on them. There will be a minority of customers who want the AIs to be trained with material that aligns with their political bent. Devout conservatives might want a conservatively trained AI; it will give answers to controversial questions in the manner they like. Devout liberals will want one trained with a liberal education. The majority of people won’t care; they just want the “best” answer or the most reliable service. We do know that AIs reflect what they were trained on, and that they can be “fine tuned” with human intervention to produce answers and services that please their users. There is a lot of research in reinforcing their behavior and steering their thinking.
Half a million books sounds like a lot of books to learn from, but there are millions and millions of books in the world already that the AIs have not read because their copyright status is unclear or inconvenient, or they are written in lesser-used languages. AI training is nowhere near done. Shaping this corpus of possible influences will become a science and art in itself. Someday AIs will have really read all that humans have written. Having only 500,000 books forming your knowledge base will soon be seen as quaint, but it also suggests how impactful it can be to be included in that small selection, and that makes inclusion a prime reason why authors will want their works to be trained on AIs now.
The young and the earliest adopters of AI have it set to always-on mode; more and more of their intangible life goes through the AI, and no further. As the AI models become more and more reliable, the young are accepting the conclusions of the AI. I find something similar in my own life. I long ago stopped questioning a calculator, then stopped questioning Google, and now find that most answers from current AIs are pretty reliable. The AIs are becoming the arbiters of truth.
AI agents are used not just to give answers but to find things, to understand things, to suggest things. If the AIs do not know about it, it is equivalent to it not existing. It will become very hard for authors who opt out of AI training to make a dent. There are authors and creators today who do not have any digital presence at all; you cannot find them online; their work is not listed anywhere. They are rare and a minority. As Tim O’Reilly likes to say, the challenge today for most creators is not piracy (illegal copies) but obscurity. I will add, the challenge for creators in the future will not be imitation (AI copy) but obscurity.
If AIs become the arbiters of truth, and if what they trained on matters, then I want my ideas and creative work to be paramount in what they see. I would very much like my books to be the textbooks for AI. What author would not? I would. I want my influence to extend to the billions of people coming to the AIs everyday, and I might even be willing to pay for that, or to at least do what I can to facilitate the ingestion of my work into the AI minds.
Another way to think of this is that in this emerging landscape, the audience for books – especially non-fiction books – has shifted away from people towards AI. If you are writing a book today, you want to keep in mind that you are primarily writing it for AIs. They are the ones who are going to read it the most carefully. They are going to read every page word by word, and all the footnotes, and all the endnotes, and the bibliography, and the afterward. They will also read all your books and listen to all your podcasts. You are unlikely to have any human reader read it as thoroughly as the AIs will. After absorbing it, the AIs will do that magical thing of incorporating your text into all the other text they have read, of situating it, of placing it among all the other knowledge of the world – in a way no human reader can do.
Part of the success of being incorporated by AIs is how well the material is presented for them. If a book can be more easily parsed by an AI, its influence will be greater. Therefore many books will be written and formatted with an eye on their main audience. Writing for AIs will become a skill like any other, and something you can get better at. Authors could actively seek to optimize their work for AI ingestion, perhaps even collaborating with AI companies to ensure their content is properly understood, and integrated. The concept of "AI-friendly" writing, with clear structures, explicit arguments, and well-defined concepts, will gain prominence, and of course will be assisted by AI.
Every book, song, play, movie we create is added to our culture. Libraries are special among human inventions. They tend to get better the older they get. They accumulate wisdom and knowledge. The internet is similar in this way, in that it keeps accumulating material and has never crashed, or had to restart, since it began. AIs are very likely similar to these exotropic systems, accumulating endlessly without interruption. We don’t know for sure, but they are liable to keep growing for decades if not longer. At the moment their growth seems open ended. What they learn today, they will probably continue to know, and their impact today will have compounding influence in the decades to come. Influencing AIs is among the highest leverage activities available to any human being today, and the earlier you start, the more potent.
The value of an author's work will not just be in how well it sells among humans, but how deep it has been included within the foundational knowledge of these intelligent memory-based systems. That potency will be what is boasted about. That will be an author’s legacy.
凯文凯利的失控这个书写的太长了 根本很难看完 而且年代久了有些知识跟不上 你能快速总结我现在还能学到的书里面的知识吗 读书成诗 书籍 louishino0524 2 分钟 一键解析并添加所有图片 我只期待看完且深知这书好在哪的人进行真人总结 真人的拙见远胜ai的tricky 尊重一本书不是从头到尾细致看完 而是说出他真正给你产生哪些深刻影响
《咏Internet Explorer》 明处塞满工具栏，暗处装满加载项， 打开五次浏览器，次次主页不一样。 毒瘤捆绑臭流氓，一不小心就上当， 想要更新换版本，银行政府都不让。 百度好看一二三，劫持主页不简单， 腾讯瑞星和毒霸，默默修改不说话， 二三四五三六零，撕逼拆台战不停， 你方唱罢我登场，不爽不要来上网。
搞了个通宵 现在分离模块正常 wisperx爆显存怎么回事 3080占用专用显存没满 用的tiny 还爆 constansino — 2025/11/1 11:14 有弄明白的吗 hsinliw — 2025/11/1 15:16 我 2070 用 medium 不爆 欢迎您， Kazuha 。来打个招呼吧！ — 2025/11/1 16:34 打个招呼吧！ 大家快来欢迎 Noah ！ — 2025/11/1 17:39 打个招呼吧！ constansino — 2025/11/1 20:45 没弄明白 constansino — 昨天11:12 这玩意mac能跑吗 有人试过吗 hsinliw — 昨天18:36 b站有人跑起来的 蛋蛋大师🪷 — 昨天18:42 你加油 我放弃了 hsinliw — 昨天18:43 放弃开源了（） constansino — 01:32 他妈了个巴子 作者如果在群里你跟我听着 你自己赚钱吧 不开源也没啥强要求你的 提的issue你倒是看看 我给你提个建议 hsinliw — 01:33 作者就在上面啊 蛋蛋大师🪷 — 01:33 constansino — 01:33 生成的视频前20秒做一个片头 自动生成个tldr版本的视频概览 可以标记为aff内容 这样不想看的人搭配空降助手可以自动跳 想看的人 比如我 很需要这个功能 hsinliw — 01:34 我在拿 indextts 重写 现在的问题是在我这爆内存了 买的内存条还没收到（ constansino — 01:34 我把whisperx tts 还有语音分离 三个核心模块分离到三个独立虚拟环境重写的 蛋蛋大师🪷 — 01:34 其实这个逻辑感觉很简单 constansino — 01:34 结果莫名其妙一堆报错 我心态炸了 蛋蛋大师🪷 — 01:34 但是我不知道作者是怎么拼一块的 constansino — 01:35 这就是耦合度太高了 蛋蛋大师🪷 — 01:35 我部署报错之后想了想 constansino — 01:35 作者他妈了个巴子绝对自己偷偷用docker版 蛋蛋大师🪷 — 01:35 找个了方式 强行装进去了 hsinliw — 01:35 你不是作者吗 constansino — 01:35 ?这狗头是作者 扯不扯 蛋蛋大师🪷 — 01:35 然后我也一堆奇怪报错 我就丨了 我是勾巴作者 我在这里蹲作者蹲一年了 都没蹲到 constansino — 01:36 我们仅知道的作者就是 黑纹白斑马 蛋蛋大师🪷 — 01:36 constansino — 01:36 他的信息 我一丝都不知 hsinliw — 01:36 作者不是三个号 都是 ip 北京 我主页刷到好几次了 constansino — 01:36 我真日了狗了这两天折腾这个b项目 蛋蛋大师🪷 — 01:36 我是北京没错 但是我不是作者 蛋蛋大师🪷 — 01:36 你折腾吧 constansino — 01:36 还有个ai译片君是吗 蛋蛋大师🪷 — 01:36 反正我放弃了 hsinliw — 01:37 还有个搬 mc 视频的忘了是谁了 constansino — 01:37 不是 能不能团结一下啊家人们 hsin这个佬我记得已经跑好了 蛋蛋大师🪷 — 01:37 我那会搞了几天把报错要么无视了要么修好了 然后就爆了 hsinliw — 01:37 反正肯定用的 indextts 就是 constansino — 01:37 咱们能建个群分享下docker吗 我现在跑全程都跑不了 hsinliw — 01:37 我在他 star 里看到的 跑起来效果是那回事 WaitedDegree608 — 01:37 这项目原来不止我一个折腾不明白（（（ constansino — 01:37 先跑起来再说 效果就换模型 加promt WaitedDegree608 — 01:38 我之前想搞一个可以调api提炼视频知识的功能（ constansino — 01:38 还在战斗的 咱们出去建个群吧 WaitedDegree608 — 01:38 可（（ constansino — 01:38 我他妈狗日的一开始只是想单纯看几个想看的相对论的视频而已 WaitedDegree608 — 01:38 这玩意折腾的太折磨了 hsinliw — 01:38 我环境拿 gemini cli 他自己在那干活了一个小时 给我跑起来了 constansino — 01:38 那啥 就按我思路就行 一个模块一个虚拟环境 hsinliw — 01:39 给 tts 拆了个 venv 放里面 WaitedDegree608 — 01:39 感觉作者里面塞了很多东西，稍微一折腾就报错了 constansino — 01:39 记得把whisper跟声音分离要分开 tts要分开 torch我记得冲突的 你们多建几个虚拟环境就行了 hs你跑通了 只是调了依赖版本吗? 主代码哪几个模块改了 有几个模块不适合新版本模型 也得改 hsinliw — 01:41 动了 step040_tts.py constansino — 01:41 tts重写一下算了等会 明天有时间接着折腾 赶 紧 建 群 hsinliw — 01:41 tts 拿 index_tts 重写就行了 作者就用的这个 constansino — 01:42 作者指定各模块都用的最新技术了 hsinliw — 01:42 https://github.com/index-tts/index-tts GitHub GitHub - index-tts/index-tts: An Industrial-Level Controllable and ... An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System - index-tts/index-tts 别的我感觉跟现有差不多 这玩意可以复刻音频情感 蛋蛋大师🪷 — 01:42 我不会 所以我当时是找了一大堆方法强行装 constansino — 01:43 那最后全程跑通了也行 活爹们 谁给打包个docker 蛋蛋大师🪷 — 01:43 跑不通 WaitedDegree608 — 01:44 先建个群吧（x我两点得眠了（（（ hsinliw — 01:44 等我内存条到了我拿 indextts 重写版看看 constansino — 01:45 whisper最好别分开 我分开了莫名其妙保险存 换好几个cuda了没卵用 不知为何 蛋蛋大师🪷 — 01:45 不建 反正这个群 lz又不上线了 hsinliw — 01:45 在这说呗 constansino — 01:45 那就在这说吧 hsinliw — 01:45 作者反正不在 constansino — 01:45 好像现在也没多少折腾的人 一起骂骂作者也不错 hsinliw — 01:45 WaitedDegree608 — 01:46 草 constansino — 01:46 狗日的 他要是搬点我想看到相对论的延伸的 我就不骂了 蛋蛋大师🪷 — 01:46 hsinliw — 01:46 他投自制了现在（ 赚麻了 constansino — 01:47 明天先跑起来再说 WaitedDegree608 — 01:47 没有点赞投币，叔叔现在纯播放量给的不多吧
各大自媒体平台的感受 —— 小红书 生活职场 技术宅 Nov 2024 8d honeymoose 1 Nov 2024 如果你有些内容，想发布到自媒体平台上，目前有很多平台可用选择。 发布自媒体在获得关注的同时，同时也会期望有些收益。 我们的内容也发布了不少时间了，那就分别扒下各大自媒体平台的吃相，这篇文章说的是小红书。 收益 小红书的收益为 0。 在小红书本身发布内容没有任何收益的，更没有什么带广告的收入。 2024-11-02_14-59-07 1728×1020 104 KB 过去 30 天在小红书上的观看量也有个小 3 万吧。 也增加了一些点赞收藏，以及评论，粉丝貌似也增加了一丢丢。 但上面的所有数据对创作者来说没有任何价值，也不会带来任何收益。 小红书的粉丝，很多时候会问些问题，当然好处就是你可以享受到帮助到他人的乐趣，除此之外就没有任何价值了。 在发完消息询问完成可能的答案后，对方就不会再和你有任何联系，完全就等于消失在茫茫人海，不会留下任何痕迹。 槽点 小红书是不会提供给你任何发布外部链接的机会。 只要你发布的内容中有外部链接，不管是链接到你自己的网站，FB 页面，或者微信公众号，小红书是绝对不会让你把这样的内容发布出来的。 这是让人最痛恨的地方。 想象下，你的内容成就了小红书，小红书连让你把你自己的内容链接到自己网站上的机会都不给。 所有的收益全部归了小红书，在小红书上的创作者属于完全的韭菜，你的知识，能力，观点完全给了小红书做了嫁衣，不会为你在其他平台上增加粉丝，哪怕是观看量都没有。 在小红书上，这 1 年多以来，除了收获了一些点赞，所有的收益为 0。 真是 1 毛钱的都没有，哪怕是做做样子给你表示下都没有。 总结 小红书的吃相很难看。 所有在上面发布内容的用户都在给小红书服务。 而且小红书会根据自己的喜好来确定是不是把你的内容推送给它认为有价值的用户。 可能一些文章你的观看量只有个位数，有些小红书觉得还不错的文章，观看量轻松过万。 2024-11-02_15-09-47 2560×1392 272 KB 发布小红书可用说就是也就多个渠道罢了，不要指望小红书能给你带来任何收益和价值。 也正是基于上面的考虑，我们会逐步降低小红书内容的发布频率，也就是保留这个账户，但不怎么更新了，没有价值。
我可以敲下快捷键ai加标点 但我不 不敲保留我懒散的本质是属于我的尊重
你会将你的l站首页改为https://linux.do/?order=created吗 开发调优 快问快答 36 浏览量 11月 2 日 1 分钟 前 louishino0524 4 分钟 对于信息学习效率来说 最新回帖优先和最新发帖优先哪个高? 我想应该是不断摸索 做好二者的加权 很可惜的是 discourse似乎目前并没有半个字节跳动似的推荐算法
看到有佬发帖打算做ai消息面交易 我是真之前做过的 已经弃了 ai交易可以当做伪量化 这种基于消息分析的基本没啥用 还没直接训练k线图放量关系好使 现在流传比较广的几个模型的pk也能说明问题 收益高的都是调仓很少不乱动的 甚至crypto领域直接和btc仓位正相关 哪个模型常持不动 哪个表现最好 这本来就符合直觉-现在信息噪音太大 你别指望ai万事皆盘准利好利空 第一步先训练ai识别什么是真正的有效信息 每天不能超过五条 甚至三条才对 ai实时识别消息并且筛选 哪些是重大 消息 迅捷推送 这个功能很有用, 比如trump发币了 能做到在万千信息中筛出来这一条迅捷推给你 让你不必24小时蹲点 这才是真贡献
抽个时间备份信息
我深知中心化的论坛就是站长的天地 任何规则都不如站长的主观判断
fuck中心化论坛 伪讨论工具的赚钱工具
明天我要让typecho评论解析md中的表格格式 不 就现在
我们曾在工厂挥汗，在实验室冥思，在土地上耕作，在课堂中争论。我们曾为真理赴死，为自由奋斗，为尊严而怒吼。因为我们是人，是创造的存在，是进化的奇迹。 具有造物主神的形象！ 可如今—— 我们沉迷短视频，向网红，歌星，球星顶礼膜拜； 我们在短视频中迷失，向网红与偶像献媚 我们享受文明进步带来的福利，却拒绝付出； 我们放弃思考，把自己交给了AI； 我们在健身房练形体，却忘了训练精神； 我们用自由换来虚无，用娱乐驱散焦虑。 曾经伟大的城市，如今成了垃圾场； 曾经燃烧思想的教室，如今充斥着沉默的脸； 我们不再是牛顿、洛克、瓦特的后人，而是算法与网红，毒品与自嗨的孩子。 文明，不会因火山或瘟疫而终结， 也不会因天灾或地震而消亡， 而是因人们忘记了什么是“人”。 而是因我们忘了身为人的神圣使命 我们不是动物，不该活在无尽的舒适腐烂中； 我们不是机器，不该被编程决定自我价值； 我们是人，是“存在的火焰”，是未完成的未来。 我们应该为追求真理与光明而存在 我们要重新点燃信念，回到知识与劳动的道路； 要从虚无中构建意义，在科技中找回灵魂； 要面对未来，不是退化成奴隶，而是要成为创造者，领导者，工作者。 是我们留给文明的呐喊： 向下沉的世界，献上最后的尊严。
XtraFinder注册码 序列号： ———— 复制下面的部分 ——— 激活码： Email: [email protected] Serial number: GAWAE-FCADB-YNT7G-GBQZC-8UGVA-VFNRX-6U8DW-5WN9C-CQG48-PTR5T-798GS-ZFMJS-SNE5V-3LNRY-TXX4
当代年轻人的生活幸福度取决于家里有没有拿着退休金的父母，最可怜的就是农村的孩子，父母年轻时候要交粮食有的地方还有徭役，好不容易跑城里还要交社保去养别人的父母。