一位Reddit用户分享了他们使用Anthropic的Mythos模型的经历，发现该模型在渗透测试任务方面表现平平。尽管最初备受期待，但用户报告称Mythos未能发现比Qwen等其他模型更多的漏洞，并且消耗了过多的token。他们对其他人如何使用该模型感到好奇。 AI
影响 用户反馈表明Mythos在专业安全任务中的实际效用有限，可能影响其采用。
排序理由 用户对特定模型性能的意见。
AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →
Anthropic的Mythos模型在渗透测试能力方面收到褒贬不一的评价
本文如何被排名
- Signal score
- 0 / 100
- Composite score across the factors below. Higher = stronger signal that this story matters right now.
- Newsworthiness bucket
- Commentary
- 用户对特定模型性能的意见。
- Source corroboration
- Single-source cluster
- Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
- Topics
- product, opinion
- Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
- AI-industry relevance
- High
- Clearly on-topic for AI-industry coverage.
- Story freshness
- Same-day
- Cluster formed today. Ranking reflects the current source set at time of score.
完整方法见我们的编辑标准。
报道来源 [1]
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有人能访问Mythos吗？
<!-- SC_OFF --><div class="md"><p>I got access a few days ago, and it's meh in terms of pentesting.</p> <p>Sure, it stops less often than i hot approval for Defense stuff, but i feel like there's too much hype around it. It will not find vulnerabilities out of the blue, or at lea…