日志管理是团队的重要任务，合理选择日志级别，避免将所有信息标记为错误。记录上下文信息，防止敏感数据泄露，区分业务失败与系统故障，避免过度记录。最佳实践包括统一格式、结构化日志和定期清理。好的日志应清晰、准确，成为系统与运维沟通的有效工具。

pg_plan_advice is expected to land in PostgreSQL 19. That makes this a good moment to look at query hints — what they are, what every other major database does with them, and how PostgreSQL ended...

pg_plan_advice is expected to land in PostgreSQL 19. That makes this a good moment to look at query hints — what they are, what every other major database does with them, and how PostgreSQL ended...

Google announced Aletheia, an AI using Gemini 3 Deep Think that solved 6/10 novel math problems in the FirstProof challenge. Aletheia also scored ~91.9% on IMO-ProofBench, signaling a significant...

When the database won't start and there's no backup available, most teams assume the game is over. But that's not true—the data is still on disk, it just lost the ability to speak. PostgreSQL data...

This series looks at the real problems behind user experience — behavior, needs, systems, and context. Not just what’s visible, but what truly matters. And why UX is not only about digital...

Our May obituaries also include a celebrity optician, a legendary blind guitarist who saw the world through music, and a renowned geophysicist who once worked with Mother Teresa.

Drawing comic book-style pop art can be quite a difficult process, even for experienced graphic designers. But that’s okay because as a designer you don’t have to be good at everything. You just...

本研究探讨了伦理理论与生成性人工智能在可视化方面的不足，提出了视觉伦理的新领域。通过对10位专家的访谈，将五类伦理理论转化为图像，揭示了道德、社会与学习之间的关系，为生成模型的批判性分析提供了启示。

本研究针对印度经典音乐中的装饰音识别问题，提出了R=aga装饰音检测（ROD）数据集，并开发了新的深度时间序列分析模型，显著提升了装饰音检测效果，推动了音乐信息检索的发展。

本研究探讨了自动程序修复（APR）中修复输出与迭代的平衡，提出了一种新方法，限制每个错误生成最多10个补丁。结果表明，利用不到1%的微调数据集，生成的可行补丁数量提升了78%，强调了迭代策略在复杂基准测试中的优势，推动了APR领域的有效发展。

该研究提出了一种新方法，通过结合代码执行与长推理模型，解决了数学推理模型的数据不足和推理能力不足的问题，显著提升了模型性能。

Jupyter notebooks are the de facto standard for interactive computing and data analysis, combining code, prose, and visualizations in a single document.In fact, this post was written in a...

本研究分析了视觉语言模型（VLMs）在处理ASCII艺术时的局限性，发现其在文本与视觉模式冲突时存在文本优先偏见，且随着语义复杂度的增加，视觉识别能力下降。这为未来模型的改进提供了参考。

本研究探讨了图基入侵检测系统（GIDS）的可重复性和可复制性挑战，并提出了评估现有GIDS的方法。研究表明，数据集规模和实施设置对性能有显著影响，同时揭示了假阳性率和鲁棒性的问题，为未来研究提供了重要见解。

本研究提出了Thinker框架，以解决客户服务中的推理能力不足问题。通过引入状态机增强生成方法，显著提升了GPT-4o和Llama-3.1的推理成功率，展示了工具接口设计的创新潜力。