Exclusive | Pentagon Used Anthropic’s Claude in Maduro Venezuela Raid - WSJ
Exclusive | Pentagon Used Anthropic’s Claude in Maduro Venezuela Raid WSJ
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claude
You test your code. Why aren’t you testing your AI instructions?
You test your code. Why aren't you testing your AI instructions? Why instruction quality matters more than model choice, and a tool to measure it. Every team using AI coding tools writes instruction files. CLAUDE.md for Claude Code, AGENTS.md for Codex, copilot-instructions.md for GitHub Copilot, .cursorrules for Cursor. You spend time crafting these files, change a paragraph, push it, and hope for the best. Your codebase has tests. Your APIs have contracts. Your AI instructions have hope. I built agenteval to fix that. The variable nobody is testing A recent study tested three agent frameworks running the same model on 731 coding problems. Same model. Same tasks. The only difference was the instruction scaffolding. The spread was 17 points. We obsess over which model to use. Sonnet vs Opu
viable/strict/1775253422: Update third_party/kineto submodule to 628e1d0 (#179244)
Includes the following commits: Add host_name to OSS Kineto trace metadata via gethostname() ( pytorch/kineto#1323 ) 628e1d0 Revert D97166802 ( pytorch/kineto#1326 ) 9d7373b Fix Lingering INT32 Overflow ( pytorch/kineto#1324 ) 3a61657 Re-enabled some hardcoded tests ( pytorch/kineto#1321 ) 50a0085 Expose occupany limiting factors ( pytorch/kineto#1322 ) e19dd92 Authored with Claude. Pull Request resolved: #179244 Approved by: https://github.com/malfet
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