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goldengrape
@goldengrape
躲在世界的外面,愉快地张望,
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压力给到GLM
📢Meet Qwen3.8-Max — our most capable model to date. Next week, the open weights of Qwen3.8-Max will be released, and Qwen3.8-27B is also going open-weights to meet you all!🎉 Qwen3.8-Max, a new bar for coding and cowork at 2.4T parameters: - Autonomous coding: 10+ days of self-evolving development, from empty folder to production without hand-holding, complete project trace in the GitHub: - Real work, real results: Production-quality deliverables across hundreds of professions. - Long-horizon mastery: System-level autonomous planning with closed-loop adaptive learning, driving 500+ turns of chip design optimization and 365 days of e-commerce strategy. - Native multimodal intelligence: Vision isn't just input — it's a continuous feedback loop for planning, execution, and self-correction. 💰Pricing: Input: $2.0 / M tokens Output: $6.0 / M tokens Implicit Caching: $0.25 / M tokens Start building with Qwen3.8-Max! 🚀 📖 Blog: ✅ Qwen Studio: ⚡ API:
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子供にも容赦しないお父さんのスタイル…ww
所以呢?等三月海阔天空
I took the new AA-Briefcase scores from @ArtificialAnlys (basically having the AI do multi-week consulting gigs with a lot of complexity) and graphed the frontier curve for open and closed models: 1) Surprise, rapid gains! 2) The open weights gap is clear
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居然就很期待了
这本来是个大问题。但是现在这逐渐地又变成一个不是问题的问题。因为现在下级逐渐地发现上级所谓的加压的文件很多都是 AI 生成的。然后下级就用 AI 又糊弄过去。或者是把采集到的数据一股脑儿放到电脑里边。然后上级要数据的时候,直接用智能体来把这些数据汇编之后弄上去,反应得又快又好。总之一句话,公务员作用慢慢在淡化。实际上我们国家很可能是世界上最早实现 AI 治国的国家,只是大家都不心知肚明,不说而已。
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えっ、ちょっとまって! もしかして... ガチャピン?😳
夫が買ってきたお皿気に入りすぎて毎日が楽しいwwwwww
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