During development I encountered a caveat: Opus 4.5 can’t test or view a terminal output, especially one with unusual functional requirements. But despite being blind, it knew enough about the ratatui terminal framework to implement whatever UI changes I asked. There were a large number of UI bugs that likely were caused by Opus’s inability to create test cases, namely failures to account for scroll offsets resulting in incorrect click locations. As someone who spent 5 years as a black box Software QA Engineer who was unable to review the underlying code, this situation was my specialty. I put my QA skills to work by messing around with miditui, told Opus any errors with occasionally a screenshot, and it was able to fix them easily. I do not believe that these bugs are inherently due to LLM agents being better or worse than humans as humans are most definitely capable of making the same mistakes. Even though I myself am adept at finding the bugs and offering solutions, I don’t believe that I would inherently avoid causing similar bugs were I to code such an interactive app without AI assistance: QA brain is different from software engineering brain.
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可以说,在“身体怎么造、脑子怎么练、数据怎么来、商业怎么跑”的每一环,具身智能都处于一种“有生命力的非共识”状态,而且各维度深度耦合:选了便宜的本体,可能就要在算法上做更复杂的补偿;追求极致的世界模型,就必须承受更高的数据与运维成本。没有人能像当年看NLP那样说:Transformer+大参数+海量文本就是唯一答案。,推荐阅读WPS下载最新地址获取更多信息