GPT-6 Astra Solves a WWI German Radio Cipher
- ID
- 26469
- Status
- summarized
- Published
- 19 Sep 2026, 2:41 PM
- Fetched
- 21 Sep 2026, 12:28 PM
- Provider
- Hacker News
- Category
- dev-community
- Original URL
- https://www.prinzai.com/p/gpt-6-astra-solves-a-wwi-german-radio
- Source URL
- https://hnrss.org/best
Summary
- Score
- 5.5
- Created
- 21 Sep 2026, 12:29 PM
- Tags
- Audience
- ai-ml-learnersai-agent-usersdevelopers
What happened
GPT-6 Astra reportedly solved a previously unsolved WWI German ADFGVX radio cipher from November 27, 1918, recovering the plaintext message about an English cruiser arriving at Sevastopol. The model identified 'TRUPPENVERSCHIEBUNG' as the encryption key and worked through the multi-step columnar transposition and Polybius square decryption process described in J. Rives Childs's historical text on German military ciphers.
Why it matters
This is a concrete data point on frontier LLM reasoning depth: GPT-6 Astra can perform multi-step symbolic manipulation (alphabetical reordering, columnar transposition, Polybius square lookup) that requires sustained logical tracking across 170 characters. If you're building AI agent workflows that depend on structured reasoning over encoded or transformed data, this suggests frontier models are crossing into territory that previously required specialized cryptanalysis tooling — worth testing whether your own tasks benefit from direct model reasoning versus external script-based preprocessing.
Discussion angle
Does this kind of historical cipher solve actually tell us something useful about agentic reasoning for production tasks, or is it a party trick that doesn't transfer to real-world structured data problems builders face?