max yang @2045max
United States Joined November 2015-
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Thank you! And yes! The scripts for s3 are in the process of being revised and recording/production will take a while but there is a path forwards
@StarshipIris just binged the show and OMG, love it! Hoping more to come. Will there be a season 3?
GitHub 上刚开源一本量化书，设计思路有点不一样， 而且我觉得这本书真正在教的东西不只是量化，背后其实是一个被严重低估的元能力——把模糊想法写成清晰 Spec，然后让 AI 执行。 这套能力放到任何复杂领域都管用，量化交易只是它第一个练手的战场。 现在量化交易的学习路径，大部分人搞反了， 传统路线：先啃数学 → 觉得自己没准备好 → 永远不动手 → 放弃。 一本GitHub上开源的书把路翻过来：先写 Spec 让 AI 帮你跑通一个策略，亏钱也行，跑起来再补理论。 书叫《XQuant：人人都是量化交易员》，核心设计就一条：问题驱动，不是知识驱动。 9 个问题串起整条量化 pipeline： 1. 量化怎么赚钱？（先跑通最小闭环） 2. 买什么？（3 只 ETF 开始） 3. 买多少？（3 种仓位分法实测） 4. 什么时候买卖？（信号、再平衡、止盈止损） 5. 怎么知道有效？（回测框架） 6. 如何避免自欺欺人？（过拟合检测）——这章位置极早，说明作者懂新手真正的死法 7-9：实盘执行、持续改进、因子研究日常 几个反直觉的地方： • 第 1 章就让你跑策略，不是先讲 CAPM、Black-Scholes，是直接上手做一个能运行的最小系统，跑起来产生的反馈和多巴胺，比任何理论都更能驱动你学下去。 • 正文和练习代码分开维护，书稿仓库放干净的正文，学习仓库放 Specs + Jupyter Notebooks。阅读时不被打断，动手时有完整参考。 • 每章给你写好的 Spec，丢给 Claude 或 Cursor 生成代码。你训练的不是手写代码，是把模糊策略想法变成清晰任务描述的能力。
有人说AI创业的终极目标就是在美股市场里深耕，不知道这个算肺腑之言还是无奈之举
GitHub 上刚开源一本量化书，设计思路有点不一样， 而且我觉得这本书真正在教的东西不只是量化，背后其实是一个被严重低估的元能力——把模糊想法写成清晰 Spec，然后让 AI 执行。 这套能力放到任何复杂领域都管用，量化交易只是它第一个练手的战场。 现在量化交易的学习路径，大部分人搞反了，
Google's CEO: "Any solo developer with Claude can now outcompete a 10-person Google team." He's right. But 90% of developers using Claude daily are starting from zero every session. No stack context. No memory. No behavior rules. Claude is smart. But without a proper system prompt it's like hiring a genius with amnesia. Every. Single. Session. $975 wasted per developer every week on context rebuilding alone. The fix is not a better model. It is these copy-paste system prompts that turn Claude into an expert before you type your first message. Full list below ↓ Bookmark this. Use it today.
Claude Tag is the next evolution of agents. It's a proactive, multiplayer agent with memory and identity, built on top of Claude Code. Learn more about how Claude Tag works and best practices for using it in this deep dive.
Anthropic 工程师用半小时完整讲述如何建立一个完整的自我提高优化的Loop流程 并且使用实际案例验证loop是多么的好用 没有冗余的提示词 没有一轮又一轮的对话 收藏起来
6月10日，Y Combinator 的创始人、《黑客与画家》的作者保罗·格雷厄姆（Paul Graham），到牛津大学做了一次演讲，题目非常炸裂"如何赚到10亿美元"。 我觉得，他讲得有启发，就翻译了主要内容。ruanyifeng.com/blog/2026/06/w…
Loop 太简单啦。 我只会 3 招。 我每天睡前挂一个 Loop，早上收菜。 看完第1招，轻松学会，超越 95% 的人。 后面 2招，反而是第1 招的变形，轻松学会，超过 99% 的人。 1. 第一招：autoresearch的变种，单个 agent，1 晚上消耗<7～8% 额度。 prompt： /loop 2h /goal 逐一检查这个应用中的每一个功能，根据代码创建用户故事，描述预期行为，并维护一个单一的规范电子表格来跟踪功能状态 完成后，将循环切换到测试每个用户故事并记录所有错误 完成后，修复每一个逻辑错误或用户体验错误 修复后再次测试每一个用户行为
2026最值的研究方向是 multi Agent和 autoresearch。 所有agent 公司做Harness最重要方向，也是最容易出成绩的方向。 AI 的幻觉、速度、安全、深度、精准度都能用多 agent 解决。 下面6月份最新 3 分钟的视频，Perplexity CEO演示了如何利用多agent把 deep research做的又快又安全： 00:02
每次看到老外发的这种漂亮的动图，我都很疑惑他们是怎么制作出来的？！ 这看上去也不像视频，倒是更像一张图片。
Andrej Karpathy: "Remove yourself as the bottleneck. Maximize your leverage. Put in very few tokens, and a huge amount of stuff happens on your behalf." loop engineering is the exact thing that gets you there. in a hand-run session you do two things. you decide what the agent
We're launching Claude Tag today. Tag Claude into Slack and it works in channel with you. It’s proactive, multiplayer, with its own identity and memory. But it’s not just a bot in Slack. Over the last few months, it’s totally changed how we use Claude
Introducing Claude Tag, a new way for teams to work with Claude. In Slack, Claude joins as a team member with access to the channels and tools you choose. Tag Claude in and delegate tasks to it while you focus on other work.
今天参加完亚马逊峰会 我的感受是 传统企业先把n8n搞清楚吧 求求了，这个n8n开源项目都能养活多少企业咨询
This is becoming my favorite way to read Twitter. birdclaw.sh
牛逼，Obsidian 创始人下场。 把整个笔记库变成了 AI agent。 Github 几天冲到 3.6 万 star。 具体做了什么？⬇️
I genuinely don't understand why everyone isn't using this yet Andrej Karpathy, a co-founder of OpenAI, posted a simple idea that hit 16 million views: stop using AI to write code, use it to build a second brain. You point Claude Code at a folder, drop in any source, an article, a transcript, a PDF, and Claude reads it, links it, and files it into a living wiki of everything you know. It compounds like interest, the more you feed it, the smarter it gets. Here's the whole thing: > Install Obsidian, create a vault, open it in Claude Code > Paste Karpathy's wiki idea file and tell Claude to build it > Claude makes three folders: raw for sources, wiki for its pages, a CLAUDE.md that runs it > Drop any source into raw and say "ingest this" > Ask questions across everything, forever Five minutes to set up, and you never start from a blank chat again. Full step-by-step guide with Claude and Obsidian, link below. Bookmark this
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