Teng Lin

Builder in the Agentic Era 🤖 | Intersection of AI & Life Sciences | SWE & PM & BD@Schrödinger and XtalPi |Open-source dev

[Teng Lin @teng_lin]

Plus 0.8.0a1 adds master-token auth: sign in once, run notebooklm-py headless on a server/CI— no browser, auto re-mints cookies.

[Teng Lin @teng_lin]

notebooklm-py 0.8.0a1: use NotebookLM inside Claude/claude.ai, ChatGPT/codex via MCP — locally or as a remote connector. Mobile included.

[Teng Lin @teng_lin]

@bozhou_ai 哦咯

[huangserva @servasyy_ai]

Codex太让我震惊了！

直接Codex通过GPT Images 2做 UI 设计 ，
并且一整套自己完成代码编写上线

有趣的互动科学 App

我试着生成了 3D 生物结构，并做了一个可以互动探索它们的 App。

演示 👇

[huangserva @servasyy_ai]

https://t.co/QsmVlHFNMS

[Teng Lin @teng_lin]

@vista8 看来又得帮它整个API. :-)

[hoeem @hooeem]

https://t.co/8JWI4me9RE

[姚金刚 @yaojingang]

北京GEO大会上午第一位嘉宾，老阎分享：

1、大部分的开源skill不能直接拿来使用，核心原因是，大部分人其实并不专业，但是可以学习它的思路，然后基于自己的需求来迭代和构建，是最佳解；

2、如何做好海外GEO，四个核心关键词：内容、结构、实体、分发；

3、做好海外GEO的策略：做"答案型内容”、强化Entity、结构化内容、建立权威来源、多平台分发、内容更新机制适配AI偏好、AI可读性优化、构建品牌信号、持续监控AI可见性；

4、AI喜欢的内容和人喜欢的内容，完全不一样；

5、新的岗位会出现：GEO Manager；

6、Google官方如何看AI内容？2026年的态度：不反对AI内容，只反对"低质量内容”

[Nyk 🌱 @nykdotdev]

https://t.co/LfrwGMB7g5

[Varun @varun_mathur]

Introducing the Agent Virtual Machine (AVM)

Think V8 for agents.

AI agents are currently running on your computer with no unified security, no resource limits, and no visibility into what data they're sending out. Every agent framework builds its own security model, its own sandboxing, its own permission system. You configure each one separately. You audit each one separately. You hope you didn't miss anything in any of them.

The AVM changes this.

It's a single runtime daemon (avmd) that sits between every agent framework and your operating system. Install it once, configure one policy file, and every agent on your machine runs inside it - regardless of which framework built it. The AVM enforces security (91-pattern injection scanner, tool/file/network ACLs, approval prompts), protects your privacy (classifies every outbound byte for PII, credentials, and financial data - blocks or alerts in real-time), and governs resources (you say "50% CPU, 4GB RAM" and the AVM fair-shares it across all agents, halting any that exceed their budget). One config. One audit command. One kill switch.

The architectural model is V8 for agents. Chrome, Node.js, and Deno are different products but they share V8 as their execution engine. Agent frameworks bring the UX. The AVM brings the trust. Where needed, AVM can also generate zero-knowledge proofs of agent execution via 25 purpose-built opcodes and 6 proof systems, providing the foundational pillar for the agent-to-agent economy.

AVM v0.1.0 - Changelog
- Security gate: 5-layer injection scanner with 91 compiled regex patterns. Every input and output scanned. Fail-closed - nothing passes without clearing the gate.
- Privacy layer: Classifies all outbound data for PII, credentials, and financial info (27 detection patterns + Luhn validation). Block, ask, warn, or allow per category. Tamper-evident hash-chained log of every egress event.
- Resource governor: User sets system-wide caps (CPU/memory/disk/network). AVM fair-shares across all agents. Gas budget per agent - when gas runs out, execution halts. No agent starves your machine.
- Sandbox execution: Real code execution in isolated process sandboxes (rlimits, env sanitization) or Docker containers (--cap-drop ALL, --network none, --read-only). AVM auto-selects the tier - agents never choose their own sandbox.
- Approval flow: Dangerous operations (file writes, shell commands, network requests) trigger interactive approval prompts. 5-minute timeout auto-denies. Every decision logged.
- CLI dashboard: hyperspace-avm top shows all running agents, resource usage, gas budgets, security events, and privacy stats in one live-updating screen.
- Node.js SDK: Zero-dependency hyperspace/avm package. AVM.tryConnect() for graceful fallback - if avmd isn't running, the agent framework uses its own execution path. OpenClaw adapter example included.
- One config for all agents: ~/.hyperspace/avm-policy.json governs every agent framework on your machine. One file. One audit. One kill switch.

[Teng Lin @teng_lin]

@vista8 嗯，本来Claude Code的能力就挺强，只是他们肯定对安全性这块的考量会更多一些。

[Teng Lin @teng_lin]

@Voxyz_ai My

[Biteye @BiteyeCN]

https://t.co/GbBnvmERdy

[Suryansh Tiwari @Suryanshti777]

This feels unfair.

Connecting Claude Code with NotebookLM unlocks a system that can turn anything into structured outputs.

And almost no one is using it yet:

↓

[向阳乔木 @vista8]

Github https://t.co/XcHsFsy0fR

Skill安装：npx skills add teng-lin/agent-fetch

[Teng Lin @teng_lin]

@wanerfu playwright对很多反机器人的网站基本上没啥用

[Teng Lin @teng_lin]

@moosa119129 @vista8 可以的，但是可能需要更多测试。

[Teng Lin @teng_lin]

@kawayidecat @vista8 可以支持需要登录的。我稍候更新一下README.md. 需要extract相应的cookie jar

[Teng Lin @teng_lin]

@kawayidecat @vista8 这个目前不支持。本来的设计是把这个做成一个轻量级的产品。当然我们也可以考虑一个JS的引擎，甚至用cameoufox这样的浏览器。