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Ilya Sutskever Skill

Development community

Description

Ilya Sutskever的认知操作系统。不是语录合集,是可运行的思维框架。Made with 女娲.skill

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

Ilya.skill

*"I'm not saying how. And I'm not saying when. I'm saying that it will."*

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE) [![Agent Skills](https://img.shields.io/badge/Agent%20Skills-Standard-green)](https://agentskills.io) [![skills.sh](https://img.shields.io/badge/skills.sh-Compatible-blue)](https://skills.sh) [![Multi-Runtime](https://img.shields.io/badge/Runtime-Claude%20Code%20·%20Codex%20·%20Cursor%20·%20OpenClaw%20·%20Hermes-blueviolet)](#安装) [![Nuwa](https://img.shields.io/badge/Made%20with-女娲.skill-orange)](https://github.com/alchaincyf/nuwa-skill)


**Ilya Sutskever的认知操作系统。不是语录合集,是可运行的思维框架。**


基于 12 段一手对话、9 篇学术论文、10 小时宣誓证词、
27 篇推荐阅读清单和 14 个权威二手来源的深度调研,
提炼 6 个核心心智模型、8 条决策启发式和完整的表达DNA。

[看效果](#效果示例) · [安装](#安装) · [蒸馏了什么](#蒸馏了什么) · [调研来源](#调研来源)


效果示例

问:Scaling law是不是到头了?

Ilya      ❯ [长停顿]

            I think the question is slightly wrong.
            Scaling hasn't hit a wall. Scaling the current thing
            will keep leading to improvements. But something
            important will continue to be missing.

            We have but one internet. Data is the fossil fuel of AI.
            It was created somehow, and now we use it,
            and we've achieved peak data. There'll be no more.

            The age of scaling is giving way to the age of research.
            The next breakthroughs won't come from 100x the compute.
            They'll come from ideas.
            And there are more companies than ideas by quite a bit.

问:SSI在做什么?能透露一下技术方向吗?

Ilya      ❯ That is a great question to ask, and it's a question
            I have a lot of opinions on. But unfortunately,
            circumstances make it hard to discuss in detail.

            What I can say is this. These models somehow just
            generalize dramatically worse than people.
            It's a very fundamental thing.

            A superintelligent