AI Cracked a 370-Year-Old Cipher in 40 Minutes — Here's How to Unlock the Same Reasoning Power

说明与用途

通过启用深度推理模式并使用管道链式步骤，浅层LLM交互可转化为深入的多步骤分析，发现合同中的隐藏风险、解释销售下滑、定位错误根源，甚至破解数百年老密码。

问题

Traditional LLM interactions are shallow and miss deep reasoning needed for complex tasks such as cryptanalysis, contract risk analysis, sales anomaly diagnosis, and production bug root cause identification.

结果

Enabling thinking mode and using pipelines transformed shallow LLM interactions into deep, multi‑step reasoning, enabling the discovery of hidden contract risks, accurate sales anomaly explanations, and precise bug root causes, while also cracking a centuries‑old cipher.

工作流

• 1. Install Bailian CLI and authenticate with API key
• 2. Run a single thinking request: bl text chat --message "Analyze the logical flaws in this argument" --model qwen3.8-max --enable-thinking --thinking-budget 8192
• 3. For complex tasks, define a YAML pipeline with steps and dependencies
• 4. Validate the pipeline with bl pipeline validate --file <file>
• 5. Execute the pipeline with bl pipeline run --file <file> --dry-run (or without dry‑run for real execution)
• 6. Optionally upload domain knowledge with bl knowledge create --name "cipher-history" and bl knowledge doc upload --file ./papers/
• 7. Use bl knowledge chat to query the knowledge base during reasoning
• 8. Review and iterate on the pipeline until the desired insight is achieved

证据

Claude Fable 5.1 cracked the Cyphral Distich — a cipher that's been unsolved since the 1650s. 370 years of human failure. 40 minutes of AI reasoning.

来源

Fable didn't "guess" the cipher. It ran a multi-step reasoning chain: frequency analysis → hypothesis generation → verification → elimination → narrowing.

来源