Prediction: We will have AGI by 2025-2028【免费下载链接】LifeOS⛰️ The Life Operating System — an intent engineering platform that moves you from your current state to your ideal state, in life and work.项目地址: https://gitcode.com/GitHub_Trending/pe/LifeOSPrediction: We will have AGI by 2025-2028Date of Prediction: March 2023Quote:This is why AGI is coming sooner rather than later. Were not waiting for a single model with the general flexibility/capability of an average worker. Were waiting for a single AGI system that can do that. To the human controlling it, its the same. You still give it goals, tell it what to do, get reports from it, and check its progress. Just like a co-worker or employee. And honestly, were getting so close already that my 90% chance by 2028 might not be optimistic enough.Why Well Have AGI by 2025-2028References:Why Well Have AGI by 2025-2028Status:IN PROGRESSNotes:This prediction works off this definition of AGI.Jan 12, 2025 — This prediction has been made multiple times and Im improving my content RAG to find the earliest instance.Jan 12, 2025 — I am still confident in this one, and am currently putting this at 40% chance for 2025, and 50% for 2026, and 10% 2027 or beyond.把示例拆开每个预测块由以下七个部分构成 | 区块 | 格式 | 说明 | |------|------|------| | 标题H2/H3 双标题 | ## Prediction: 主题 与 ### Prediction: 主题 | 同一标题重复两次H2 用于博客索引/锚点H3 承接正文层级主题用一句话凝练预测内容 | | 预测日期 | Date of Prediction: 年月 | 记录预测提出的时间便于回测预测是否按时兑现 | | 引用 | Quote: blockquote…citea href来源/a/cite/blockquote | 从原文中摘取最切题、最凝练的一句话用 cite 标注出处链接实现引用可溯源 | | 参考文献 | References: 列表 | 最多 5 条来源链接第一条必须与 Quote 中的 cite 指向同一来源 | | 状态 | Status: \IN PROGRESS\ | 用行内代码 emoji 标记预测当前进展示例为进行中 | | 备注 | Notes: 列表 | 记录置信度变化、时间线更新、定义链接等跟踪信息支持多条、可带日期前缀 | | 分隔 | br / --- | 每个预测块之间的排版分隔符 | 特别注意示例中的两个细节 - **blockquote 内嵌 cite**引用不是孤立摘录而是引文 出处链接的 HTML 组合这保证了每条预测引语都能追溯到原文符合预测档案对可验证性的要求 - **Notes 的日期前缀**Jan 12, 2025 — … 的写法表明 Notes 是流水账式的跟踪日志记录置信度调整40% / 50% / 10% 的概率分布与去重改进RAG 查找最早实例让预测块成为持续更新的活文档而非一次性输出。 ### 5. OUTPUT INSTRUCTIONS输出约束 text # OUTPUT INSTRUCTIONS // What the output should look like: - Only output the predictions in the format described above. - Get up to 5 references for the reference section based on the input. - Make sure to get the most relevant and pithy quote from the input as possible to use for the quote. - Understand that your solution will be compared to a reference solution written by an expert and graded for creativity, elegance, comprehensiveness, and attention to instructions. - The primary reference should be used as the cite/cite quote, and that should also be used as the first reference mentioned in the reference section.输出约束共五条可归纳为三组格式唯一性只输出上述格式的预测块不做任何额外解释内容约束参考文献最多 5 条Quote 必须是输入中最相关、最精炼pithy的原话一致性约束cite中的主引用来源必须同时是 References 列表中的第一条——保证引文出处与参考文献首位指向同一来源避免引用与参考脱节。此外模式明确提示你的产出将与专家撰写的参考答案对比并按创造力、优雅度、全面性、指令遵循度评分——这是 Fabric 系模式常见的自评压力机制用以提升输出质量。6. INPUT输入占位# INPUT INPUT:system.md以INPUT:占位符收尾实际使用时待分析的内容文章全文、访谈文字稿、播客转写等会拼接在这里构成一次完整的模式调用。三、在 LifeOS 中如何执行该模式create_prediction_block在 LifeOS 中不需要调用外部 CLI而是走原生模式执行Native Pattern Execution路径。根据 LifeOS/install/skills/Fabric/SKILL.mdUser Request → Pattern Selection → Read system.md → Apply → Return Results具体到本模式调用过程是选择模式当用户表达把这篇内容里的预测整理成博客预测块生成 /predictions 页面内容等意图时即命中create_prediction_block加载提示词读取Patterns/create_prediction_block/system.md的完整内容应用模式将# INPUT之后的占位替换为用户的待分析内容AI 按 IDENTITY → GOAL → STEPS → OUTPUT INSTRUCTIONS 的顺序执行返回结果输出符合模板的预测块序列供用户直接粘贴到 Markdown 博客的/predictions页面。工作流的完整细节参见 LifeOS/install/skills/Fabric/Workflows/ExecutePattern.md其中 Step 2 给出了加载模式文件的参考实现PATTERN_PATH$HOME/.claude/skills/Fabric/Patterns/$PATTERN_NAME/system.md。关于调用边界需要注意两点Fabric 的 CLI 仅在两种场景下需要YouTube 字幕提取fabric -y URL与 URL 内容抓取兜底fabric -u URL模式名必须精确匹配create_prediction_block不能写成createpredictionblock不确定时可通过fabric --list核对。四、实战一个完整的调用示例假设输入是一篇科技访谈其中包含这样的论述模拟输入我们正在接近一个转折点。我认为到 2027 年大多数知识工作者会使用个人 AI 助理处理超过一半的日常工作。这不是炒作基础设施成本下降的速度是 10 倍级的。将这段内容拼接到# INPUT之后运行模式预期产出如下依模板组织供参考## Prediction: Most knowledge workers will use personal AI assistants for half their daily work by 2027 ### Prediction: Most knowledge workers will use personal AI assistants for half their daily work by 2027 Date of Prediction: September 2026 Quote: blockquoteWere approaching an inflection point. By 2027, most knowledge workers will use personal AI assistants for more than half of their daily work. Infrastructure costs are dropping 10x.citea hrefhttps://example.com/interview/future-of-workThe Future of Work Interview/a/cite/blockquote References: - [The Future of Work Interview](https://example.com/interview/future-of-work) Status: IN PROGRESS Notes: - Confidence is tied to infrastructure cost decline rate cited in the source. - Sep 13, 2026 — Prediction logged from interview transcript; pending follow-up on measurable definition of daily work. br / ---【免费下载链接】LifeOS⛰️ The Life Operating System — an intent engineering platform that moves you from your current state to your ideal state, in life and work.项目地址: https://gitcode.com/GitHub_Trending/pe/LifeOS创作声明：本文部分内容由AI辅助生成（AIGC），仅供参考 Prediction: We will have AGI by 2025-2028
Prediction: We will have AGI by 2025-2028【免费下载链接】LifeOS⛰️ The Life Operating System — an intent engineering platform that moves you from your current state to your ideal state, in life and work.项目地址: https://gitcode.com/GitHub_Trending/pe/LifeOSPrediction: We will have AGI by 2025-2028Date of Prediction: March 2023Quote:This is why AGI is coming sooner rather than later. Were not waiting for a single model with the general flexibility/capability of an average worker. Were waiting for a single AGI system that can do that. To the human controlling it, its the same. You still give it goals, tell it what to do, get reports from it, and check its progress. Just like a co-worker or employee. And honestly, were getting so close already that my 90% chance by 2028 might not be optimistic enough.Why Well Have AGI by 2025-2028References:Why Well Have AGI by 2025-2028Status:IN PROGRESSNotes:This prediction works off this definition of AGI.Jan 12, 2025 — This prediction has been made multiple times and Im improving my content RAG to find the earliest instance.Jan 12, 2025 — I am still confident in this one, and am currently putting this at 40% chance for 2025, and 50% for 2026, and 10% 2027 or beyond.把示例拆开每个预测块由以下七个部分构成 | 区块 | 格式 | 说明 | |------|------|------| | 标题H2/H3 双标题 | ## Prediction: 主题 与 ### Prediction: 主题 | 同一标题重复两次H2 用于博客索引/锚点H3 承接正文层级主题用一句话凝练预测内容 | | 预测日期 | Date of Prediction: 年月 | 记录预测提出的时间便于回测预测是否按时兑现 | | 引用 | Quote: blockquote…citea href来源/a/cite/blockquote | 从原文中摘取最切题、最凝练的一句话用 cite 标注出处链接实现引用可溯源 | | 参考文献 | References: 列表 | 最多 5 条来源链接第一条必须与 Quote 中的 cite 指向同一来源 | | 状态 | Status: \IN PROGRESS\ | 用行内代码 emoji 标记预测当前进展示例为进行中 | | 备注 | Notes: 列表 | 记录置信度变化、时间线更新、定义链接等跟踪信息支持多条、可带日期前缀 | | 分隔 | br / --- | 每个预测块之间的排版分隔符 | 特别注意示例中的两个细节 - **blockquote 内嵌 cite**引用不是孤立摘录而是引文 出处链接的 HTML 组合这保证了每条预测引语都能追溯到原文符合预测档案对可验证性的要求 - **Notes 的日期前缀**Jan 12, 2025 — … 的写法表明 Notes 是流水账式的跟踪日志记录置信度调整40% / 50% / 10% 的概率分布与去重改进RAG 查找最早实例让预测块成为持续更新的活文档而非一次性输出。 ### 5. OUTPUT INSTRUCTIONS输出约束 text # OUTPUT INSTRUCTIONS // What the output should look like: - Only output the predictions in the format described above. - Get up to 5 references for the reference section based on the input. - Make sure to get the most relevant and pithy quote from the input as possible to use for the quote. - Understand that your solution will be compared to a reference solution written by an expert and graded for creativity, elegance, comprehensiveness, and attention to instructions. - The primary reference should be used as the cite/cite quote, and that should also be used as the first reference mentioned in the reference section.输出约束共五条可归纳为三组格式唯一性只输出上述格式的预测块不做任何额外解释内容约束参考文献最多 5 条Quote 必须是输入中最相关、最精炼pithy的原话一致性约束cite中的主引用来源必须同时是 References 列表中的第一条——保证引文出处与参考文献首位指向同一来源避免引用与参考脱节。此外模式明确提示你的产出将与专家撰写的参考答案对比并按创造力、优雅度、全面性、指令遵循度评分——这是 Fabric 系模式常见的自评压力机制用以提升输出质量。6. INPUT输入占位# INPUT INPUT:system.md以INPUT:占位符收尾实际使用时待分析的内容文章全文、访谈文字稿、播客转写等会拼接在这里构成一次完整的模式调用。三、在 LifeOS 中如何执行该模式create_prediction_block在 LifeOS 中不需要调用外部 CLI而是走原生模式执行Native Pattern Execution路径。根据 LifeOS/install/skills/Fabric/SKILL.mdUser Request → Pattern Selection → Read system.md → Apply → Return Results具体到本模式调用过程是选择模式当用户表达把这篇内容里的预测整理成博客预测块生成 /predictions 页面内容等意图时即命中create_prediction_block加载提示词读取Patterns/create_prediction_block/system.md的完整内容应用模式将# INPUT之后的占位替换为用户的待分析内容AI 按 IDENTITY → GOAL → STEPS → OUTPUT INSTRUCTIONS 的顺序执行返回结果输出符合模板的预测块序列供用户直接粘贴到 Markdown 博客的/predictions页面。工作流的完整细节参见 LifeOS/install/skills/Fabric/Workflows/ExecutePattern.md其中 Step 2 给出了加载模式文件的参考实现PATTERN_PATH$HOME/.claude/skills/Fabric/Patterns/$PATTERN_NAME/system.md。关于调用边界需要注意两点Fabric 的 CLI 仅在两种场景下需要YouTube 字幕提取fabric -y URL与 URL 内容抓取兜底fabric -u URL模式名必须精确匹配create_prediction_block不能写成createpredictionblock不确定时可通过fabric --list核对。四、实战一个完整的调用示例假设输入是一篇科技访谈其中包含这样的论述模拟输入我们正在接近一个转折点。我认为到 2027 年大多数知识工作者会使用个人 AI 助理处理超过一半的日常工作。这不是炒作基础设施成本下降的速度是 10 倍级的。将这段内容拼接到# INPUT之后运行模式预期产出如下依模板组织供参考## Prediction: Most knowledge workers will use personal AI assistants for half their daily work by 2027 ### Prediction: Most knowledge workers will use personal AI assistants for half their daily work by 2027 Date of Prediction: September 2026 Quote: blockquoteWere approaching an inflection point. By 2027, most knowledge workers will use personal AI assistants for more than half of their daily work. Infrastructure costs are dropping 10x.citea hrefhttps://example.com/interview/future-of-workThe Future of Work Interview/a/cite/blockquote References: - [The Future of Work Interview](https://example.com/interview/future-of-work) Status: IN PROGRESS Notes: - Confidence is tied to infrastructure cost decline rate cited in the source. - Sep 13, 2026 — Prediction logged from interview transcript; pending follow-up on measurable definition of daily work. br / ---【免费下载链接】LifeOS⛰️ The Life Operating System — an intent engineering platform that moves you from your current state to your ideal state, in life and work.项目地址: https://gitcode.com/GitHub_Trending/pe/LifeOS创作声明：本文部分内容由AI辅助生成（AIGC），仅供参考