Ziv Chen

AI Builder 🤖 | InfoSec & Privacy 🛡️ | Independent Hacker 🕵️‍♂️ | Former @OnePlus & @OPPO | Building a Safer Digital World

[Ziv Chen @0x01Security]

@grok 为什么x黄推这么多，基于第一性原理思考下。

[Ziv Chen @0x01Security]

一个推文下面，几百条黄推你们不管管吗？ @X @elonmusk

[Ziv Chen @0x01Security]

@tualatrix 开放感觉有点难，这个还是很重要的一个入口。

[Ziv Chen @0x01Security]

@turingou 有什么好的方式可以持续保持清醒？

[Ziv Chen @0x01Security]

@candyyueliu 深圳/香港有没有得实体体验？

[Ziv Chen @0x01Security]

Gemma 4 12B 发布！
Google 新开源多模态模型，16GB 内存即可本地运行。

端侧 AI 的能力越来越能打了。🚀
#Gemma

[Google Gemma @googlegemma]

Meet Gemma 4 12B!

A unified, encoder-free multimodal model designed to bring high-performance intelligence directly to your laptop, and released under an Apache 2.0 license.

Bridging the gap between edge efficiency and advanced reasoning. Here is what’s new with Gemma 4 12B: 👇

[Ziv Chen @0x01Security]

@wangzan101 本来cli 也不是给人用的，给Agent 用 天然的AI友好。

[Ziv Chen @0x01Security]

@imwsl90 主要是看你是不是家宽、IDC、代理之类的，有些通过ASN/IP情报数据是可以区分出来的。

[Ziv Chen @0x01Security]

@turingou 主要是用户不改变使用习惯学习成本低吧，自己再造一个UI大概率跑不过OpenAI

[Ziv Chen @0x01Security]

@AndrewYNg 对于企业来说短期靠 FDE 帮助快速找场景、快速落地，长期企业还是得自己培养内部 AI Engineer 团队？

[Andrew Ng @AndrewYNg]

One of the new, buzzy jobs in Silicon Valley is the AI Forward Deployed Engineer (FDE), an engineer who is embedded within a client organization to help customize solutions, such as building and tuning agentic workflows that suit the client’s particular needs. I’ve heard from people who are wondering anew about the FDE career path since OpenAI and Anthropic started building new teams to place FDEs within client organizations.

The rise of FDEs for AI workloads is one way AI is creating new jobs (and why the jobpolcalypse narrative of upcoming job market collapse is false -- there will be many AI and non-AI jobs). However, I believe there will be far more AI Engineer jobs than FDEs, as I explain below.

The FDE role was pioneered about two decades ago by Palantir, which sent engineers to government locations to work on secure, air-gapped networks. In addition to having good technical skills, FDEs need communication skills and sometimes business skills. For example, they may need to speak with clients to understand their needs, formulate a strategy to prioritize projects, explain complex technology, and respectfully push back if a client asks for something unrealistic. They’re enjoying a resurgence because of the amount of work involved in taking an off-the-shelf LLM and building it into a custom agentic workflow that fits particular business needs.

However, I believe the number of AI Engineer jobs will be far larger. A company might accept a few FDEs to be embedded within its organization. But most companies will want far more of their own employees working on their projects. While my organizations do hire FDEs, we hire far more AI Engineers! Also, a common client concern is that it is hard to find vendor-neutral FDEs — they are, after all, there to deeply integrate a particular vendor’s product into a company. In this moment when it’s hard to predict which AI service will be the best one in a year’s time, optionality (the ability to pick whatever vendor turns out to fit best in the future) is very valuable. In contrast, letting FDEs tightly bind a company’s processes significantly reduces optionality.

Right now, I see surging demand for AI Engineers who can build software applications using AI software components (like LLM prompting, agentic frameworks, evals, etc.) and effectively use AI coding agents (like Claude Code, Codex, Antigravity CLI, and OpenCode). As the AI Engineer role matures, I expect it to fragment into more specialized roles, like the generic Software Engineer role from decades ago fragmented into frontend, backend, mobile, data engineering, devops, and so on.

What will be the future, specialized AI engineering roles? I don’t know. Perhaps there will be AI FDEs, LLMOps Engineers, Evals Engineers, AI Data Engineers, Harness Engineers, and other roles we don’t have names for yet. But for now, I see a lot of AI engineers who are generalists create a lot of value. Skilled AI Engineers are in very high demand! As our field continues to mature over the coming decade, I look forward to new specializations within AI Engineering that create even more job opportunities.

[Original text: The Batch newsletter]

[Ziv Chen @0x01Security]

今天跟一个朋友聊 AI 至今对信息安全行业的影响，大家都有个挺强的共识：

以后很多安全工作��可能不会再是天天调策略、看告警、来回跟业务沟通了，而是在维护一套Harness。

持续评估、自动验证、攻击回放、策略闭环……

尤其安全运营、检测、治理这类工作，感觉会越来越 Harness 工程化。

#Harness #Security

[Ziv Chen @0x01Security]

@caiyue5 成本低，现在有些AI营销电话还特地加了背景音，让你第一时间分辨不出来。

[Ziv Chen @0x01Security]

@xqliu 🤣 coding 场景还是其他场景？

[Ziv Chen @0x01Security]

@Khazix0918 用mole不就好了？https://t.co/bDVJRi9jTr

[Ziv Chen @0x01Security]

@turingou SOTA 是天花板，但不是万能钥匙，本地应该还是要有一些处理隐私内容的小模型，类似现在手机端的垃圾短信检测模型。

[Ziv Chen @0x01Security]

@jinchenma_ai Deepseek 应该还是搜狗的搜索源吧。

[Ziv Chen @0x01Security]

类似Stack Overflow买数据给大模型训练？🤣

[猫总 @catmangox]

天涯社区重新开放了，我也是第一次见到这么简洁优雅的社交平台，但是后面该怎么发展？

[Ziv Chen @0x01Security]

@luoyonghao 理解万岁😆
不得不说老罗当年抓用户痛点还是挺准的也很超前，这个简直就是大号TNT，现在被GPT-Realtime 2.0 直接干成了

[Farza 🇵🇰🇺🇸 @FarzaTV]

Watch me control my computer with just my voice. This is the future of operating systems.

No hands.

GPT-Realtime 2.0 is very, very underrated.

Demo:

[Ziv Chen @0x01Security]

@hi_caicai 你现在的cc跑了几个工作流？