Gemini 2.5 Flash

User comments (predominantly HackerNews) reveal a polarized experience. On image editing, multiple users call it a potential inflection point — one user reports Gemini 2.5 Flash 'gets 8 of 12 prompts correct' on a strict adherence benchmark, 'easily within striking distance' of Imagen and gpt-image-1. Another highlights its unique ability to incorporate multiple reference images simultaneously without pre-VAE concatenation, calling it and gpt-image-1 'in a class of their own.' Practical use cases include colorizing manga pages perfectly, but also garbled translations and duplicate characters appearing across panels. On coding, results are sharply split: one user fed it a 70,000-token codebase with a planted bug (non-existent include file); Gemini 2.5 Pro not only found the real issue but 'found about 30 other underlying issues I didn't even know I had.' Yet another user reports it returning tutorial boilerplate instead of addressing a JS scroll-highlighting algorithm, confirming the requirement textually but failing to implement it. Several users express a broader disillusionment: 'I've been continually disappointed… never shocked or awed by its competence, but instead continually vexed that it isn't living up to the hype.' Others defend it as an 'evil genie' problem — users asking the wrong thing. A Google employee notes the model market sentiment cycles rapidly (Anthropic → OpenAI → DeepSeek), and Gemini releases were historically 'ignored or put down.' Safety classifiers swapping output mid-generation frustrate power users. Overall: genuinely impressive multimodal editing and large-context code analysis, but inconsistent enough that a human-in-the-loop is mandatory.

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