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.
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メニュー閉じるニュース新着・注目社会政治経済気象・災害国際科学・文化スポーツ暮らし深掘り地域動画・番組閉じる自民税調会長 消費税減税の財源 “租税特別措置見直しなどで”2026年2月28日午後0時14分シェアする消費税超党派の「国民会議」で議論する消費税減税の財源について、自民党の小野寺税制調査会長は、円に対する信用が低下しないよう赤字国債の発行に頼らず、租税特別措置の見直しなどで確保する考えを強調しました。
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LimeWire, a name once associated with the notorious file-sharing tool from the 2000s, has undergone a significant transformation. The LimeWire we discuss today is not the file-sharing application of the past but has re-emerged as an entirely new entity—a cutting-edge AI content publishing platform.