Opus 4.6、Codex 5.3 與後基準測試時代：2026 年我們該如何評估 AI 模型？
Original: Opus 4.6, Codex 5.3, and the post-benchmark era
In 2026, with the release of next-generation models such as Anthropic's Opus 4.6 and OpenAI's Codex 5.3, the AI community faces a…
本文探討在 2026 年面對 Opus 4.6 與 Codex 5.3 等頂尖模型時，傳統靜態基準測試（如 MMLU）已完全失效。AI 評估正式進入「後基準時代」，重點轉向評估模型在複雜、多步驟的代理人任務（Agentic tasks）中的實際表現。未來，評估將更依賴動態環境、人類反饋與客製化的工作流模擬，而非單一的分數指標。
In 2026, with the release of next-generation models such as Anthropic's Opus 4.6 and OpenAI's Codex 5.3, the AI community faces a fundamental challenge: traditional academic benchmarks can no longer effectively differentiate the capabilities of these top-tier models. This marks our official entry into the "post-benchmark era."
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