Anthropic accidentally leaks part of Claude Code source - Latest news from Azerbaijan
<a href="https://news.google.com/rss/articles/CBMiggFBVV95cUxNQWhvZXFGQjJ0Z0dTLVgxb2JzUk9qeTIwU2xTT29hLTRPYlExT3RudHVjbDA3VWxyM0EzV1c0ZXNYal9wVHVyLWNoaC1rOE5JSG5QR3BHSXV3QjEzRmxueGN2bXZKeTNrS2ZiMGZmYVN2Y0plN25NUmstZnI1ak1XOWp3?oc=5" target="_blank">Anthropic accidentally leaks part of Claude Code source</a> <font color="#6f6f6f">Latest news from Azerbaijan</font>
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Claude Code leak exposes many of Anthropic’s secrets - Techzine Global
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Structured Intent as a Protocol-Like Communication Layer: Cross-Model Robustness, Framework Comparison, and the Weak-Model Compensation Effect
arXiv:2603.29953v1 Announce Type: cross Abstract: How reliably can structured intent representations preserve user goals across different AI models, languages, and prompting frameworks? Prior work showed that PPS (Prompt Protocol Specification), a 5W3H-based structured intent framework, improves goal alignment in Chinese and generalizes to English and Japanese. This paper extends that line of inquiry in three directions: cross-model robustness across Claude, GPT-4o, and Gemini 2.5 Pro; controlled comparison with CO-STAR and RISEN; and a user study (N=50) of AI-assisted intent expansion in ecologically valid settings. Across 3,240 model outputs (3 languages x 6 conditions x 3 models x 3 domains x 20 tasks), evaluated by an independent judge (DeepSeek-V3), we find that structured prompting s
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