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【ご報告】 ソロになって4年…更なる夢を叶える為に #アーティストリーグ2023# の #Superシンガーステージ# に 参戦する事に決めましたっ🔥🔥 予選は7/8(土)昼12:00〜翌日12:00 Twitterの動画投稿にてスタート。 届きますように🎤 応援よろしくお願いします🔥 #優勝賞金1000万円# 🏆 (ほしいっ、、🥹)

9/24(水)🌟super spark🌟 2部 君好きQueen👑、🆕あなばかダンサー💃🏻 君好きは旧バーレスク東京に入店して初めてQueenをやった思い出の曲💓💓 そして今回あなばかのダンサーとして初デビューさせて頂きます🥺🤍🤍 あなばかはシンガー1人ダンサー1人の曲🎤 心を込めて踊らさせて頂きます💃🏻✨ #すぱすぱ#

Most agent demos look good right up until the agent gets something wrong So this @reppo update actually makes sense to me Their new Eval Engine checks what an agent is about to say or do before it moves. Bad answer, try again. Trade doesn’t look right, pause it for review Nothing super flashy here. But if agents are going to touch real money, I’d rather see more of this than another speed demo Beta is already live. Public release on Nov 21

@sai_superai: Super Artificial Intelligence, the Super AI meme coin with its own prediction games. @NEXST_AI: designer of the SAI app. @thecreatorfi: the creator campaign platform behind this $SAI campaign. Honest take today: the rhino refuses to wake up, and the crowd keeps growing anyway. #ad# This morning the rhino volunteered to chair the snack committee. Last night it asked a robot to convince it to wake up. The whole mascot in one joke: a superintelligence that acts like me before coffee. And yet the numbers moved while it slept. Followers went from 2,532 to 4,233 overnight. People are not just laughing at the rhino, they are watching what comes next. What comes next is the part I keep coming back to. $SAI is Super Artificial Intelligence, a meme coin that turns AI creations into prediction games — AI makes, everyone calls the winner. NEXST's SAI Arena Season 0 closes today, results tomorrow, and the app launch targets Nov 20 on Fair launch, too: 1B fixed, 0% tax, 0% team, half the supply in the pool, locked or burned. No insider head start. The rhino sleeps. The countdown doesn't.

2015- you missed NVIDIA. 2016- you missed Tesla. 2017- you missed bitcoin breakout. 2018- you missed Amazon. 2019- you missed Tesla's second run. 2022- you missed NVIDIA's AI ignition. 2023- you missed super micro. 2024- you missed Broadcom. 2025- you missed Palantir. Hey @grok what could be the next big investment opportunity in 2026?

Anthropic 新发布的《Building always-on agents》非常值得关注，刚好能和之前 DeepSeek 的 Super-agent、LangChain 的 Async Subagents 放在一起理解。 DeepSeek 则通过 Router 接收 GitHub、飞书等事件，在授权规则内判断是否启动任务，再交给独立 Worker 执行。 LangChain 让主 Agent 保持响应，长任务交给后台 Subagent 独立运行，还能随时查看进度、修改指令。 Anthropic 这次把背后的架构拆得非常细。 Agent 平时休眠，收到消息、Webhook 或定时触发才唤醒，执行一轮任务，保存状态后继续休眠。 整个系统围绕 5 个核心组件设计： Inbox 接收事件，负责去重和失败重试。 Timer 定时唤醒 Agent，主动跟进任务。 Memory 保存跨 Session 的记忆和任务进度。 Permissions 管理权限、凭据和人工审批。 Outbox 控制何时向用户发送消息。 我个人比较喜欢 Deferred Tool Call 这个设计。需要人审批时，先保存 Session，释放 Worker，等用户回复后再恢复执行，不会一直卡在那里。 这几篇文章放在一起看，感觉大家越来越关注 Agent 如何持续工作，以及怎么减少人的管理负担。 想自己搭 Always-on Agent 的朋友，真可以系统性的学习这篇，很多设计都能直接参考。 原文：

🚨 HISTORY HAS BEEN MADE! 🚀🔥 For the FIRST TIME EVER, SpaceX has successfully caught its Starship Super Heavy booster using the giant mechanical arms of its launch tower! 🤯👏 LET THAT SINK IN! A rocket booster that just launched into space has returned to Earth and been caught mid-air by the launch tower's massive mechanical arms — instead of landing on a traditional platform or floating in the ocean. This is not just another successful rocket test. It's a massive leap towards making spaceflight faster, cheaper and more reusable. Why is this such a BIG deal? 👇 🚀 FULL REUSABILITY: Catching the booster could dramatically reduce the time and cost needed to prepare for the next launch. ⚡ FASTER TURNAROUND: SpaceX is working towards launching, catching, refuelling and launching again with minimal delays. 🌍 THE FUTURE OF SPACE TRAVEL: This technology could play a crucial role in humanity's journey towards the Moon, Mars and beyond. What once looked like science fiction is now becoming reality. Elon Musk and the SpaceX team are pushing the boundaries of what humanity thought was possible. THE FUTURE IS NO LONGER A DREAM. WE ARE WATCHING IT HAPPEN! 🌌 History isn't just being written. It's being launched! 🚀🔥 HATS OFF TO THE ENTIRE SPACEX TEAM! 👏 Congratulations to Elon Musk and the entire SpaceX team! 🚀 #SpaceX# #Starship# #ElonMusk#

Congratulations to SpaceX and Elon Musk on catching the Starship upper stage for the first time on Saturday. This is the ship that launched Friday, spent nearly a full day in orbit, deployed 26 Starlink satellites, then returned from space and was caught by the tower arms. Previous catches only involved the Super Heavy booster. The ship is harder. It comes back from orbital velocity, survives reentry heat, and has to hit a precise hover so the arms can grab it. No one else has done this with an orbital-class vehicle. Full reusability of both stages is what drops the cost per flight enough to support high cadence for Starlink, lunar missions, and eventually Mars. Catching the ship after a real orbital flight turns partial recovery into a complete system. The team just showed the harder half works. That’s the step that matters most.

【NVIDIA NeMo Switchyard在Amazon Bedrock上为编码智能体请求分配合适模型】 AWS机器学习博客11月13日发文，6位AWS和NVIDIA作者介绍在Amazon Bedrock上为编码智能体做模型路由。 作者主张用每个解决任务的成本衡量路由，而不是每个token的单价。 示例把开源网关LiteLLM和Switchyard插件部署在Amazon ECS Fargate的私有子网里。 LiteLLM通过Bedrock Converse API调用模型，流量经过VPC接口端点进入Bedrock。 能力较强的模型使用Claude Opus 5.5，高效模型使用NVIDIA Nemotron 3 Super 120B。 Stage策略读取近期工具结果在两个模型之间选择，信号不明确的时候默认使用高效模型。 Random策略按照权重分配流量，适合A/B测试，两种策略都不调用评判模型。 作者表示只在两个任务上跑了几次，不足以得出成本或者质量结论，示例只适合非生产账户。 我觉得现在只给了部署模板，团队需要自己用bench脚本量出每个任务的实际成本。 来源：AWS Machine Learning Blog · 2026-11-14