Analyzes the four-step attrition ladder in AI learning and proposes using engineering platforms to eliminate configuration, experimentation, and deployment friction. Introduces AI Builder Space's unified API, one-click deployment, and MCP automation.
Articles by grapeot
从过程确定性到结果确定性：AI 时代的另一种安全感
用Claude Code替代API调用做翻译任务：利用agentic loop实现自我纠错，用evaluation-first定义验收标准，从过程确定性转向结果确定性获得新的安全感。
From Process Certainty to Outcome Certainty: A Different Kind of Confidence in the Age of AI
Why handing translation to Claude Code works better than calling APIs directly - leveraging the agentic loop, evaluation-first mindset, and the ecosystem's runtime layer to achieve outcome certainty over process certainty.
使用AI生图助力天文学观测摄影
探索用生成式AI解决天文图像中CMOS灰尘去除难题。通过让AI生成灰尘遮罩而非直接修复图像，结合确定性数学平场校准，实现既保留科学严谨性又获得AI强大效果的工作流。
Leveraging Generative AI for Astronomical Image Calibration
Explores using generative AI to remove CMOS dust from astronomical images. By having AI generate dust masks rather than direct corrections, then applying deterministic flat-field calibration, achieves both scientific integrity and AI's powerful recognition capabilities.