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㊗️お知らせ㊗️ 次回の #魔界# にも出演させて頂きます✨ 第75回 #魔界# -LIGHTNINGSTRIKES- 5/11(木) 19時開演 @かめありリリオホール 一般販売スタートしました✨ 写真・動画撮影OKの公演です。 チケットお申し込みは、佐武宇綺扱いでお待ちしてます🙇⏬ @official_makai
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第74回 #魔界-SHADOWS# OF WAR- 出演させて頂きます✨ 2023/3/16(木) 19時〜@かめありリリオホール チケットは販売中! 1回しかない公演です、楽しみ! キャスト名を佐武宇綺と入力頂けるとうれしいです^_^ 公演特設HP、チケット⏬ #佐武宇綺# @official_makai #MAKAI#
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agents will transact more than humans base is making sure the payment rails are ready for them
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VergeX AI x WorldClaw We’re partnering to help power the next trillion-dollar market: Agentic Trading. By combining VergeX AI’s Harness powered autonomous multi agent trading infrastructure with @WorldClawAI AI access layer, we’re making professional grade AI trading systems more scalable, accessible, and cost efficient. The future of trading won’t be manual. It will be agentic.
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@gdb @CGRTeams @OpenAI CGR Teams’ collaboration with OpenAI could enhance real-time data analytics, optimizing driver decision-making under race conditions.
Base Azul is officially live on mainnet This upgrade makes Base even faster and more secure Making it ready to be the home of global finance
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Making an AI influencer army using GPT Image 2 x Seedance 2 on Arcads workflow ⬇️
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We have the only person alive on Earth who carries more responsibility for humanity’s long-term survival than anyone else. If @elonmusk succeeds in making us a multiplanetary species, the risk of human extinction drops to nearly zero. He should be recognized as a national treasure. A simple “thank you” doesn’t come close to what he deserves.
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Elon Musk on why he built SpaceX and Tesla: “SpaceX and Tesla are fundamentally intended to improve the probability that the future is good They will do more than anything I do from a charitable standpoint in terms of usefulness to humanity Tesla is about accelerating sustainable energy. SpaceX is about making life multi-planetary and providing global internet through Starlink These are fundamental goods. The good of those companies will far exceed anything that I do from a charitable standpoint”
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SpaceX has almost finished writing V1.0 of an in-house AI training stack in C that exact-maps to 220k GB300s with 800G NICs, making heavy use of pipeline parallelism and getting as close to bare metal as possible. The potential speed improvement vs JAX for large training runs is over an order of magnitude.
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