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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.

«Благодаря средней летней температуре 20-25 градусов Цельсия, Швеция стала популярным местом для отдыха в прохладную погоду. Северное расположение страны обеспечивает длинные световые дни, идеально подходящие для активного отдыха на свежем воздухе — будь то пешие прогулки, сплавы на байдарках или просто пребывание на природе. В Швеции примерно 100 тысяч озер и нетронутая береговая линия, а в Стокгольме и Гетеборге есть живописные городские пляжи. Поэтому у нас бесконечный потенциал для освежающего купания», — рекламируется на сайте Visit Sweden. И все это без очереди за шезлонгами.

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tl;dr Google spent over a decade telling developers that Google API keys (like those used in Maps, Firebase, etc.) are not secrets. But that's no longer true: Gemini accepts the same keys to access your private data. We scanned millions of websites and found nearly 3,000 Google API keys, originally deployed for public services like Google Maps, that now also authenticate to Gemini even though they were never intended for it. With a valid key, an attacker can access uploaded files, cached data, and charge LLM-usage to your account. Even Google themselves had old public API keys, which they thought were non-sensitive, that we could use to access Google’s internal Gemini.

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