To be sure, AI adoption could come with some serious fiscal benefits for governments, including higher growth, stronger corporate and wealth tax receipts, and sharper tax administration. AI-powered digitalization could also plug compliance gaps, potentially adding up to 1.3% of GDP in revenue for countries with weak enforcement, according to Moody’s, citing IMF data.
Last May, I wrote a blog post titled As an Experienced LLM User, I Actually Don’t Use Generative LLMs Often as a contrasting response to the hype around the rising popularity of agentic coding. In that post, I noted that while LLMs are most definitely not useless and they can answer simple coding questions faster than it would take for me to write it myself with sufficient accuracy, agents are a tougher sell: they are unpredictable, expensive, and the hype around it was wildly disproportionate given the results I had seen in personal usage. However, I concluded that I was open to agents if LLMs improved enough such that all my concerns were addressed and agents were more dependable.，推荐阅读快连下载安装获取更多信息
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2025年春节，一位北京朋友答应帮我们照看狗，算是把麻烦对付了过去；2026年，这位朋友因故无法再帮忙照看狗了，我们只好另外想辙。