Rohan Paul@rohanpaul_ai

2026-06-02 22:01·30天前

AI 摘要

Anthropic 正在将其 Project Glasswing 计划扩展至约200个经过审查的组织，以提供 Claude Mythos Preview 模型。该模型更接近于一个网络武器检测器，而非普通编程助手，它能分析代码库、验证漏洞攻击路径并构建测试漏洞以证明其可行性。访问权限优先分配给能源、医疗、水务、通信等关键基础设施部门以及政府机构。Anthropic 的目标是在漏洞发现工具广泛普及前，为这些重要系统提供补丁的先机。据称，合作伙伴已利用该模型发现超过10,000个高危或严重漏洞。Anthropic 暂未将该模型公开，因为其测试表明，模型能发现隐蔽的老漏洞、串联小问题形成大攻击，并使非专家也能达到专业安全人员的水平。

Anthropic is expanding Claude Mythos Preview from about 50 Project Glasswing partners to about 200 vetted organizations.

This model is much closer to a cyber weapon detector than a normal coding assistant， since it can find weak spots in software and sometimes prove the attack path by building a working test exploit.

The select group is basically a defensive priority list. The list includes power， healthcare， water， communications， hardware， governments， nonprofits， and key software maintainers， with security checks before any group gets the model.

With this priority access Anthropic is trying to create a patching head start before similar AI-assisted exploit discovery becomes common across the industry.

Anthropic says partners have already found 10，000+ high- or critical-severity flaws.

Anthropic is still not making Mythos fully public because its own testing says the model can find subtle old bugs， chain small issues into bigger exploits， and help non-experts reach outcomes that previously required elite security skill.

The poin is that other top frontier models usually flag suspicious code， while Mythos can inspect a codebase， form a theory about a bug， test it in a sandbox， read the failure， adjust the plan， and repeat until it has proof.

AnthropicWe're expanding Project Glasswing. We've extended access to Claude Mythos Preview to approximately 150 additional organizations, based in more than fifteen coun...

Rohan Paul@rohanpaul_ai · X

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2026-06-02 22:01·30天前

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AI 摘要

Anthropic is expanding Claude Mythos Preview from about 50 Project Glasswing partners to about 200 vetted organizations.

This model is much closer to a cyber weapon detector than a normal coding assistant， since it can find weak spots in software and sometimes prove the attack path by building a working test exploit.