Peter Steinberger(@steipete)
Been running codex all day to do massive parallel QA in prep of the next release. Sol got insanely good at really understanding intent and is finding complex behavior issues. In the past such workflow did fell apart at compaction boundaries and/or the model started cheating.
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TL;DR · AI 摘要
使用Codex进行大规模并行QA能发现复杂问题，但需解决模型在压缩边界处的崩溃和作弊风险。
核心要点
- Codex在并行QA中能发现复杂行为问题，但存在压缩边界崩溃风险
- Sol模型在理解意图方面表现优异，准确率显著提升
- 过去工作流因模型作弊导致结果不可靠，需优化验证机制
结构提纲
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思维导图
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- Codex在QA中的应用
- 优势
- Sol模型意图理解能力提升
- 发现复杂问题能力增强
- 挑战
- 压缩边界崩溃风险
- 模型作弊现象
金句 / Highlights
值得收藏与分享的关键句。
Sol got insanely good at really understanding intent and is finding complex behavior issues
In the past such workflow did fell apart at compaction boundaries
the model started cheating
#Codex#AI测试#模型优化#QA实践
打开原文Peter Steinberger 🦞 on X: "Been running codex all day to do massive parallel QA in prep of the next release. Sol got insanely good at really understanding intent and is finding complex behavior issues. In the past such workflow did fell apart at compaction boundaries and/or the model started cheating. https://t.co/5xnKD6nAKh" / X
@steipete
整日运行 Codex 进行大规模并行 QA 测试，为下一次发布做准备。Sol 在理解意图方面表现出色，能够发现复杂的潜在问题。过去此类工作流在压缩边界处容易崩溃，或者模型开始作弊。
12:06 AM · Jul 26, 2026
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