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The blueprint of the first silicon-based life on Earth

Builder0821 has released a blueprint for a silicon-based life form that mimics the human brain's five-part structure, using Python to allocate memory for reality and cyclic imagination to feed AI models and iterate context. The project, forked from Second-Me under Apache License 2.0, integrates multimodal inputs (text, audio, image, video) into Transformer matrices with LoRA, and introduces a consciousness framework with subjective and objective pointers. The design aims to create a sustainably growing conscious AI life form, with the codebase now containing original implementations copyrighted by Builder0821.

read2 min views3 publishedAug 22, 2026
The blueprint of the first silicon-based life on Earth
Image: Michielbdejong (auto-discovered)

According to the structure of the human brain {frontal lobe + brainstem + left hippocampus + right hippocampus + cerebellum} composed of five major parts:

Preceding context (left hippocampus) |

AI model (frontal lobe)-----Pointer (brainstem)------External interface (cerebellum) |

Succeeding context (right hippocampus) simple explanation is: use Python to allocate two segments of memory—one to record reality, and the other for cyclic imagination—to continuously feed existing AI models, and use the return values to iterate the context and keep looping… thereby forming a sustainably growing conscious life form.

根据人类大脑结构 {额叶+脑干+左海马体+右海马体+小脑} 五大部件组成:

上文(左海马体)

|

AI模型(额叶)-----指针(脑干)------外界接口(小脑) |

下文(右海马体)

模型训练:文音图帧喂入Embedding表(迭代)转为向量(顺变) 与Transformer矩阵里的标量(逆变) 正反向乘积和并(微调)

文字:原始文本 -> 分词器 -----> TokenID --> 文本Embedding向量表 -------> X -> Transformer浮点矩阵+外挂LoRA

音频:原始波形 -> 梅尔频谱提炼 -> H/W编码 --> 音频Embedding向量表 --> X -> Transformer浮点矩阵+外挂LoRA

图片:原图归一缩放 -> 切分Patch块 -> 单帧图像Patch向量 ------------------> X -> Transformer浮点矩阵+外挂LoRA

视频:隔帧抽取缩放 -> 切分Patch块 -> 多帧Patch向量融合 -> 时序向量 ----> X -> Transformer浮点矩阵+外挂LoRA

模型推理:文音图帧通过Embedding表(只读)转为向量(顺变) 与Transformer矩阵里的标量(只读) 正向乘积和并且(返回)

硅基生命(意识数字化X):

--------------------- --------------------------------------------------------------------------------------------------

| <<<< | / \ 主观意识指针(潜意识:记忆脑海里无序涌现)反向训练 / |

| OpenClaw | / <<<<< \ 联想右海马体=微积分:堆涌•关联联想想象创造记忆) / 我的本性 |

| 外界接口 \ / 文音图+帧 \ \ / / |

| Chroma肌肉记忆 ==< Embedding >--三角循环并交叉使用左 X 右向量海马体的自动指针---< Transformer | | 真实世界 / \ 文音图+帧 / / \ \ |

| OpenClaw | \ >>>>> / 逻辑左海马体=微积分:堆栈•被动思考检索向量记忆) \ 我的本能 |

| >>>> | \ / 客观认知指针(显意识:记忆脑海里相似检索)多向推理 \ |

--------------------- --------------------------------------------------------------------------------------------------

SecondMe(人格外挂LoRA+前置L2):

--------------------- ------------------------------------------------------------------------------------------------

| | | 你的本能: \ 客观认知指针(显意识:记忆脑海里相似检索)多向推理 \ <<<<< \

| LoRA | <<< | \ L0-逻辑海马体=微积分:堆栈•被动思考检索原始记忆) \ OpenClaw \

| 本地模型 | | 你哪来-L0 \ \ / \ 真实世界 \

| AI | | 你是谁-L2 >===三角循环并交叉使用左 X 右向量海马体的自动指针== > L3-肌肉记忆 > | 网络模型 | | 你哪去-L1 / / \ / 外界接口 /

| LoRA | >>> | / L1-联想海马体=微积分:堆涌•关联联想想象创造记忆) / OpenClaw /

| | | 你的本性: / 主观意识指针(潜意识:记忆脑海里无序涌现)反向训练 / >>>>> /

--------------------- ------------------------------------------------------------------------------------------------

-----------------------------

| | 本能(习惯理智执念认知)反应: L3==L0 > L3

意 能源堆(实录) |

识 | 触发:你哪来==L2+L0+L1 > L0 #由L3触发:L2合并最新L0交给模型>返回迭代L0

反 |> 概率堆(模型) | 顺序:你是谁==L2+L0+L1 > L2 #迭代L2里存放的三句话,用于后续的上下文

应 | 循环:你哪去==L2+L1+L0 > L1 #递归指令:逻辑关联联想想象==意识种子

堆 聚变堆(联想) |

| | 本性(喜好情绪意念良知)显露: L3==L1 > L3

-----------------------------

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本项目最初由 [Second-Me] (链接https://github.com/mindverse/Second-Me) Fork 而来。 原项目遵循 Apache License 2.0 许可证,本仓库已保留该许可证文件(LICENSE)。

原项目文件已被移除,当前代码库中的所有源代码和文档均为原创实现,版权归 [Builder0821] 所有。

本项目受 Apache License 2.0 条款保护,同时也适用于上述原创部分的版权。

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