作者正在考虑写一篇关于零知识证明的博客文章，特别是关注一种绕过电路创建步骤的简化方法。他们不确定这个话题是否有足够的兴趣，尤其是在当前AI新闻普遍存在的情况下。 AI
影响 在AI主导讨论时，凸显了保持对基础技术兴趣的挑战。
排序理由 作者对技术话题在当前新闻周期中的相关性表示个人怀疑。
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作者质疑在AI炒作中对零知识证明的兴趣
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
- 作者对技术话题在当前新闻周期中的相关性表示个人怀疑。
- 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
- other
- Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
- AI-industry relevance
- Low
- Off-topic or adjacent — cluster remains reachable but doesn't surface in AI-industry rankings.
- Story freshness
- Breaking (< 6h)
- Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.
完整方法见我们的编辑标准。
报道来源 [1]
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零知识证明的正常流程是：1. 为问题创建电路。2. 将电路转化为多项式方程。3. 使用...
The normal path of a zero-knowledge proofs is: 1. Create a circuit for a problem. 2. Turn the circuit into an equation of polynomial. 3. Prove what you want using polynomial commitments. I did a small exercise of zk proofs of facts about sets, but using only the last 2 sets (no c…