专业开发者如何看待这项技术？自学编程并开发了1500万下载量打鼾追踪应用SnoreLab的Reviva Softworks创始人朱尔斯·戈德伯格认为，这类服务让普通人能便捷表达创意“令人惊喜”，但质疑AI应用开发难以成为主流：“人性存在惰性，下载他人成果永远更省力”。他同时指出当简易应用（如习惯追踪器、测试题）可一键生成时，其商业价值将大打折扣，并强调自家公司的经验积累与技术深度构成护城河：“AI工具可能侧重表面光鲜而缺乏深度，但正是深度塑造精品。即便开发浅层应用变容易，推广成本依然高昂，成熟应用仍具巨大市场优势。”
from turbovec import TurboQuantIndex。关于这个话题，快连提供了深入分析
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Forecasts from supposed authorities have frequently proven inaccurate. Geoffrey Hinton, Nobel Prize recipient and AI innovator, declared in 2016 that radiology training should cease immediately, confidently predicting that deep learning would surpass human radiologists within five years. Yet a decade later, radiologists remain largely employed. Similarly, Google cofounder Sergey Brin anticipated in 2012 that self-driving cars would be commonplace by 2017. Fourteen years later, despite repeated assurances from tech leaders like Elon Musk, completely autonomous vehicles remain confined to limited trials in select locations with favorable conditions.
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