Hypothetical scenario; Post AI cryptography?
TL;DR: My intuition is that AI/ML-assisted cryptanalysis will accelerate the pace of discovering new better factoring and lattice-reduction algorithms, but there’s nothing fundamentally new about the algorithms discovered by ML-assisted research methods that would invalidate our current security proofs. AI/ML is able to make astounding progress on problems such as human genetics or drug discovery, but keep in mind that the human genome is 725 mb and there are tens of millions of known organic compounds, whereas the key space of AES-256 is like 10^66 TB – more than the number of atoms on earth (estimated at 10^50). So unless we’ve thoroughly goofed in designing our permutation functions, you would need more input-output pairs in the “training data” than there are atoms on the planet.
- ▪TL;DR: My intuition is that AI/ML-assisted cryptanalysis will accelerate the pace of discovering new better factoring and lattice-reduction algorithms, but there’s nothing fundamentally new about the algorithms discovered by ML-assisted res
- ▪AI/ML is able to make astounding progress on problems such as human genetics or drug discovery, but keep in mind that the human genome is 725 mb and there are tens of millions of known organic compounds, whereas the key space of AES-256 is
- ▪So unless we’ve thoroughly goofed in designing our permutation functions, you would need more input-output pairs in the “training data” than there are atoms on the planet.
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| Original publisher | Google Groups |
| Canonical URL | https://groups.google.com/a/list.nist.gov/g/pqc-forum/c/w4o-VCza_so |
| Publication time | Mon, 03 Aug 2026 14:14:16 +0000 |
| Retrieval time | 2026-08-03T14:25:42.951Z |
| Last seen | 2026-08-03T14:25:42.951Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 24ymSMhgHcEv · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
TL;DR: My intuition is that AI/ML-assisted cryptanalysis will accelerate the pace of discovering new better factoring and lattice-reduction algorithms, but there’s nothing fundamentally new about the algorithms discovered by ML-assisted research methods that would invalidate our current security proofs. AI/ML is able to make astounding progress on problems such as human genetics or drug discovery, but keep in mind that the human genome is 725 mb and there are tens of millions of known organic compounds, whereas the key space of AES-256 is like 10^66 TB – more than the number of atoms on earth (estimated at 10^50). So unless we’ve thoroughly goofed in designing our permutation functions, you would need more input-output pairs in the “training data” than there are atoms on the planet.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Google Groups.
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