内容来源：https://techcrunch.com/2026/01/18/moxie-marlinspike-has-a-privacy-conscious-alternative-to-chatgpt/

内容总结：

随着人工智能助手日益普及，用户隐私问题引发广泛担忧。当前主流AI服务通常需收集用户对话数据，这些信息可能被用于模型训练或商业广告推送，引发公众对数据安全的隐忧。

在此背景下，知名加密通讯应用Signal联合创始人莫克西·马林斯派克于去年12月推出新型隐私保护AI平台Confer。该平台采用多重技术架构确保用户隐私：前端采用WebAuthn密钥系统加密通信，后端通过可信执行环境处理数据，并配备远程认证机制验证系统完整性。所有对话数据均采用开源技术进行隔离处理，确保开发方无法获取用户聊天内容。

马林斯派克指出，AI聊天界面极易获取用户深度隐私信息，若与广告系统结合将产生巨大伦理风险。Confer的设计理念正是要构建"无法被窃听的数字治疗师"，从根本上杜绝数据滥用可能。

目前该平台提供每日20条免费对话额度，高级会员服务定价为每月35美元，虽显著高于市场同类产品，但其隐私保护技术成本高昂。业内人士认为，Confer的出现标志着AI服务正朝着隐私优先的新方向发展，为行业提供了重要的技术范式参考。

中文翻译：

若你对隐私问题有所顾虑，人工智能个人助手的兴起或许会令人不安。使用这类工具往往难以避免共享个人信息，而这些数据会被模型所属公司留存。随着OpenAI已开始测试广告业务，不难想象那些支撑Facebook和谷歌的数据收集手段，正悄然渗透进你的聊天机器人对话中。

去年12月，Signal联合创始人莫克西·马林斯派克推出的新项目，向我们展示了注重隐私的AI服务可能呈现的模样。Confer的设计力求在观感和使用体验上接近ChatGPT或Claude，但其后端架构却致力于避免数据收集，并采用了使Signal备受信赖的开源严谨性。你的Confer对话内容既不会被用于模型训练，也不会成为广告定向投放的依据——原因很简单：服务提供商永远无法获取这些数据。

对马林斯派克而言，这些保护措施是对该服务亲密本质的必然回应。“这类技术本质上会激发人们的倾诉欲，”他表示，“像ChatGPT这样的聊天界面比以往任何技术都更了解用户。当这种特性与广告结合，无异于有人收买你的心理治疗师，说服你购买某样商品。”

实现这种隐私保护需要多个系统协同运作。首先，Confer通过WebAuthn密钥系统对往来信息进行加密（尽管该标准在移动设备或运行Sequoia系统的Mac上表现最佳，但用户也可借助密码管理器在Windows或Linux系统上使用）。在服务器端，所有推理处理均在可信执行环境（TEE）中完成，并配备远程认证系统以验证系统未被篡改。该环境内部署了一系列开源基础模型，用于处理各类查询请求。

这使得整套系统比标准推理架构（其本身已相当复杂）更为繁复，但切实兑现了Confer对用户的核心承诺：只要这些保护措施生效，你就能与模型进行敏感对话而无需担心信息泄露。

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Confer免费版每日限发20条消息且仅支持5个活跃会话。付费用户每月支付35美元可获得无限使用权限，并解锁更先进的模型与个性化功能——这一定价远超ChatGPT Plus方案，但隐私保护从来不是廉价的承诺。

英文来源：

If you’re at all concerned about privacy, the rise of AI personal assistants can feel alarming. It’s difficult to use one without sharing personal information, which is retained by the model’s parent company. With OpenAI already testing advertising, it’s easy to imagine the same data collection that fuels Facebook and Google creeping into your chatbot conversations.
A new project, launched in December by Signal co-founder Moxie Marlinspike, is showing what a privacy-conscious AI service might look like. Confer is designed to look and feel like ChatGPT or Claude, but the backend is arranged to avoid data collection, with the open-source rigor that makes Signal so trusted. Your Confer conversations can’t be used to train the model or target ads, for the simple reason that the host will never have access to them.
For Marlinspike, those protections are a response to the intimate nature of the service.
“It’s a form of technology that actively invites confession,” says Marlinspike. “Chat interfaces like ChatGPT know more about people than any other technology before. When you combine that with advertising, it’s like someone paying your therapist to convince you to buy something.”
Ensuring that privacy requires several different systems working in concert.
First, Confer encrypts messages to and from the system using the WebAuthn passkey system. (Unfortunately, that standard works best on mobile devices or Macs running Sequoia, although you can also make it work on Windows or Linux with a password manager.) On the server side, all Confer’s inference processing is done in a Trusted Execution Environment (TEE), with remote attestation systems in place to verify the system hasn’t been compromised. Inside that, there’s an array of open-weight foundation models handling whatever query comes in.
The result is a lot more complicated than a standard inference setup (which is fairly complicated already), but it delivers on Confer’s basic promise to users. As long as those protections are in place, you can have sensitive conversations with the model without any information leaking out.
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Add yourself to the Disrupt 2026 waitlist to be first in line when Early Bird tickets drop. Past Disrupts have brought Google Cloud, Netflix, Microsoft, Box, Phia, a16z, ElevenLabs, Wayve, Hugging Face, Elad Gil, and Vinod Khosla to the stages — part of 250+ industry leaders driving 200+ sessions built to fuel your growth and sharpen your edge. Plus, meet the hundreds of startups innovating across every sector.
Confer’s free tier is limited to 20 messages a day and five active chats. Users willing to pay $35 a month will get unlimited access, along with more advanced models and personalization. That’s quite a bit more than ChatGPT’s Plus plan — but privacy doesn’t come cheap.