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本日20時YouTube公開❕ 静岡ホビーショー2026に遊びに行く動画🔥 たのしかった〜〜!!!!!! 待機場所🔻
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Pokhara, Nepal… only 180 km away from India. The temperature is a pleasant 23°C with perfect cleanliness.
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特朗普说:美国目前是全球加密货币之都,其他国家正努力试图取代美国的地位,但我们绝不会允许这种情况发生 现在的加密货币之都应该是迪拜吧,很多交易所的总部都设在那,其次是萨尔瓦多,美国最多排第三
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本日、5/27(水)23:59までの チケット最速先行をお見逃しなく🎫 ・VIP Nissyシート ・プレミアムNissyシート の申し込みはNEP会員限定となります🙌 今からご入会いただいても、間に合います! あなたもぜひNEPへ🎪 ご入会はこちら👇
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📣本日23:59まで📣 / NEP会員チケット最速先行受付は 本日5/27(水)23:59まで! \ 9/18(金)〜9/23(水) 横浜・ぴあアリーナMMにて開催🎪 ご希望の方はご応募をお忘れなく🪄 📌お申し込みはこちら #NBE2026# #Nissy#
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明日、5/27(水)までの チケット最速先行をお見逃しなく‼️ ・VIP Nissyシート ・プレミアムNissyシート の申し込みはNEP会員限定となります🙌🏻 今からご入会いただいても、間に合います! あなたもぜひNEPへ🎪 ご入会はこちら🔗
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/ NEP会員チケット最速先行受付は 明日5/27(水)まで📣 \ 9/18(金)〜9/23(水) 横浜・ぴあアリーナMMにて開催🎪 全公演、異なる内容でお届けする 6日間のプレミアムイベント💋 皆さんからのご応募を お待ちしております🙌✨ 🎫お申し込みはこちら #NBE2026# #Nissy#
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\#NEP# のみんな💋/ 〈2026年5月〜2027年4月〉 継続特典のお知らせ📣 今年から継続特典が フライトタグに✈️ 今回はネイビー×オフホワイトの 『Lippy&Rujju フライトタグ』です🎁 📍詳細はこちら #Nissy# #NissyEntertainmentPark#
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Microsoft just banned its own engineers from using AI. The tool was literally costing MORE than the humans it was supposed to replace. They lied to you about AI adoption and now the whole narrative is blowing up: Microsoft gave thousands of engineers access to Claude Code six months ago and encouraged them to use it. Engineers loved it and adoption exploded. But then the invoices arrived. Token-based pricing means every query, every code review, every debugging session costs money. At scale across 100,000 engineers, the numbers became so large that Microsoft issued an internal order to cancel nearly all Claude Code licenses by end of June and force everyone onto their own cheaper tool instead. The company that invested $5 billion in Anthropic just told its own people to stop using Anthropic's product because it costs too much. Uber's story is even worse... Their CTO Praveen Neppalli Naga told The Information that the budget he planned for the full year was "blown away already" by April. Uber had rolled out Claude Code in December 2025. By March, 84% of their 5,000 engineers were using it with 70% of all committed code coming from AI systems. Heavy users were burning $500 to $2,000 per month each. Naga himself spent $1,200 in a single two-hour demo session. The company had even built internal leaderboards ranking engineers by how much AI they used. They literally gamified the spending and then ran out of money. Now look at what Nvidia's own VP of applied deep learning Bryan Catanzaro said to Axios last month. Direct quote: "For my team, the cost of compute is far beyond the costs of the employees." This is a VP at the company that SELLS the chips saying that using AI is more expensive than paying humans. Think about what this means for the entire AI narrative. Every CEO on every earnings call for the past two years has said the same thing: AI will make us more efficient, reduce headcount, and cut costs. The stock market rewarded every company that said it. Fired workers, stock goes up. Announced AI adoption, stock goes up. But the actual companies deploying AI at scale are discovering the math doesn't work. The MORE employees use AI, the HIGHER the bill. Goldman Sachs forecasts a 24x increase in token consumption by 2030 as companies adopt AI agents. Gartner just published a report showing that even though individual token prices will drop 90% by 2030, total enterprise AI costs will go UP because agents consume exponentially more tokens per task than basic tools. Meta built an internal dashboard called "Claudeonomics" to track which employees use the most AI. Amazon started pushing engineers to "tokenmaxx," their internal term for consuming as many AI tokens as possible. Both companies are spending hundreds of billions on AI infrastructure this year alone. And Microsoft, the company that bet its entire future on AI, just told 100,000 engineers to stop using the tool they liked best because the per-token bills got out of control. The companies building AI are telling investors it saves money. The companies using AI are finding out it costs more than the humans it was supposed to replace. And even the company that makes the chips just admitted it through its own VP. This is the gap nobody on Wall Street is pricing in. $725 billion in AI infrastructure spending this year across Big Tech. And the first companies to actually deploy these tools at scale are already pulling back because the economics don't work. What do you think?
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\NEP会員チケット先行受付中/ “今”だからこそ過ごせる時間を💋 全公演、異なる内容👀✨ 9/18(金)〜9/23(水) 横浜・ぴあアリーナMMで開催される 6日間のプレミアムイベント🎪 ⏰応募期間 5/27(水)23:59まで! 🎫お申し込みはこちら #NBE2026# #Nissy#
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