OpenAIとAnthropicの最新ヘッドラインの裏にある数字を検証する
OpenAIやAnthropicなどAI関連の報道は華やかな見出しに注目しがちだが、その背後にある実際の数字や条件を慎重に確認する必要がある。細かい文字(fine print)にこそ真実が隠されていることを忘れてはならない。
OpenAIやAnthropicなどAI関連の報道は華やかな見出しに注目しがちだが、その背後にある実際の数字や条件を慎重に確認する必要がある。細かい文字(fine print)にこそ真実が隠されていることを忘れてはならない。
Prompts for AI coding tools are a form of technical debt that decays silently with each model upgrade, unlike code. The author advises against investing heavily in bespoke agentic setups, recommending instead using third-party tools with minimal configuration and keeping custom prompts limited to concrete project facts.
The article argues that prompts used for AI tools like large language models are a form of technical debt, as they require ongoing maintenance, are poorly documented, and can break silently when underlying models change, leading to unpredictable costs and system fragility.
Adding assumptions to a formal property makes it logically weaker—guaranteed to work in fewer cases. Engineers add assumptions when stronger properties are impossible, too costly, or unverifiable. These assumptions often involve factors outside the program, like the operating environment or external dependencies.