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【2026 KANG JIYOUNG Tokyo Fanmeeting Bicycle Chapter 4 : 隠れ絵探し】 🕵🏻‍♀️プレミアムシート専用特典公開✨ プレミアムシートをご購入いただいた皆様へ、 「DETECTIVE JIYOUNG」限定4カットフォトをプレゼント📸💜 1部・2部それぞれ異なる絵柄をご用意しております👀✨ ぜひ会場でチェックしてください‼️ 📍対象公演 2026.05.23(土) 2026.05.24(日) ⚠️写真はイメージです。実物とは仕様やサイズ・色味が若干異なる場合がございます。 ⚠️特典は公演当日会場でのお渡しとなります。 ⚠️1部・2部で絵柄が異なります。別部の絵柄への変更はできかねますので、あらかじめご了承ください。 #지영# #JIYOUNG# #知英# #fanmeeting# #BICYCLE# #chapter4# #DETECTIVE_JIYOUNG# #隠れ絵探し# @kkangjji_0

【2026 KANG JI YOUNG FANMEETING IN JAPAN Bicycle Chapter 4 : 隠れ絵探し】 🕵️‍♂️🔍 ドレスコード企画のお知らせ 🔍🕵️‍♀️ 今回のファンミーティングでは、公演コンセプトに合わせた特別なドレスコード企画をご用意いたしました‼️ 今回のテーマは… 🖤「もし自分が犯人だったら？」🖤 ミステリー作品に出てきそうな犯人風コーデ、怪しげな雰囲気のファッション、探偵に追われそうなスタイル（？）などなど…！ 皆様それぞれの“犯人コーデ”で、 ぜひ会場へお越しください🕶️🧤🔥 ぜひ知英と一緒に、特別なミステリーの世界観を完成させましょう🕯️🔎 📝公演概要 📅2026年5月23日（土） 🏟️時事通信ホール（📍東京都中央区銀座5-15-8） ・1部 14:00開演 ・2部 18:00開演 📅2026年5月24日（日） 🏟️神田明神ホール（📍東京都千代田区外神田2-16-2 神田明神文化交流館2F） ・1部 14:00開演 ・2部 18:00開演 ⚠️本イベントへのご参加をもって、肖像権の使用に同意いただいたものとみなします。 ⚠️ドレスコードは必須ではございませんので、ご自身のスタイルで安心してご参加ください‼️ #지영# #JIYOUNG# #知英# #fanmeeting# #BICYCLE# #chapter4# #DETECTIVE_JIYOUNG# #隠れ絵探し# @kkangjji_0

【2026 KANG JIYOUNG Tokyo Fanmeeting Bicycle Chapter 4 : 隠れ絵探し】 [📝]グッズ＆特典会に関するお知らせ ⏰グッズ販売時間 ○5月23日(土) @ 時事通信ホール 1部 12:30〜開演まで / 2部 16:00〜開演まで ○5月24日(日) @ 神田明神ホール 1部 12:00〜開演まで / 2部 16:00〜開演まで 🚨1部グッズ販売につきましては、混雑緩和のため整理券を配布予定となります。 🚨2部グッズ販売では、整理券の配布はございません。 🛍️販売グッズリスト ・アクリルパズル：6,000円 ・Tシャツ（M / Lサイズ）：6,000円 ・バンダナ：4,000円 ・アクリルスタンド（全6種）：3,000円 ・アクリルキーリング（全2種）：2,000円 ・ぷくぷくシール（ランダム/全16種）：500円 ※全て税込価格です。 🎁グッズ購入者対象特典会 全ての商品において、１会計につき一定の金額以上をご購入いただいたお客様へは、特典会参加券をもれなくお渡しいたします。 ※抽選制ではございません。 1️⃣１会計につき、15,000円以上ご購入→「1:1サイン会参加券」のお渡し ⚠️当日ご購入いただいたグッズの中から1点にサインいたします。 2️⃣１会計につき、20,000円以上ご購入→「1:1携帯写真撮影会参加券」のお渡し 📸写真撮影会は、お客様の携帯で撮影いたします 🚨1会計につき、お一人様25,000円までご購入いただけます。 🚨現金・クレジットカード・交通系IC・電子マネーでのお支払いが可能です。 🚨全ての商品は数量限定のため、売り切れ次第終了となります。 ✅その他注意事項などの詳細は、画像をご確認ください👀‼️ ────────── 🎫 只今一般発売中 🔗 ────────── #지영# #JIYOUNG# #知英# #BICYCLE# #DETECTIVE_JIYOUNG# @kkangjji_0

"I was speaking to a grandmother in rural Tennessee, and she was taking care of her eleven-year-old granddaughter. So she wakes up, she walks into her room, the bed's empty." " Detective arrives, no sign of force. There's nothing, except one thing that he remembers. There's a Flock camera just down the street. So he pulls out his phone and runs a search for the night and finds one car. He runs that tag, and it's his worst nightmare. It's a registered sex offender. So he logs into Flock, and he's looking for this car, and he sees the car is traveling down I-75." "The person's on the highway. The detective doesn't know what to do, so he does what every hero does, is he moves into action. He jumps in his car and races down I-75. As he approaches the interstate line, he sees the vehicle." "A violent struggles ensues, and at the end, he hears crying. And the girl's in the back. She's bound, but she's alive. They went on to go search the suspect's house, and the nightmare got scarier. Everything one would need to not only assault, but dispose of the body was there." "Now that girl's alive today because the detective had two things: He had a license plate, and he had direction of travel. This, for me, is one of thousands of stories I sadly hear about every day in America. I started Flock nine years ago because of this exact type of problem." @glangley at @TEDTalks

Closer Look at New #Overwatch# Detective Skins 🕵️‍♂️ Featuring Ana, Pharah, Mercy, and Baptiste. The skins appear to be tied to a limited-time event starting tomorrow. 🇨🇳 This may be exclusive to China.

A Chinese developer recorded a 2 minute video on his solo day trading setup. Three monitors showing live order flow. Mechanical keyboard. Microphone arm. Posted it to Bilibili expecting maybe 100 views. While the West argues about whether AI will replace solo day traders, China is already filming the solo day traders for them. This guy was trying to show his setup. He just showed too much. Pause at 1:04. Look past the trading chart. Look at the reflection on the right edge of the monitor. The second desk behind him. Then look further back. That is not his apartment. That is a content farm. He had recorded a tutorial about being a solo trader. He had forgotten the wide shot showed five other desks behind him. The five other desks belonged to five other content creators paying eight hundred yuan a day to rent the setup. The comment section turned into a detective board. Someone slowed the video to 0.25x. Screenshotted every frame where the back of the room was visible. Stitched them together. Identified the coworking space from the chair model. The setup is not for trading. The setup is for filming. Three monitors running paper trading accounts the content farm rotates between renters. One AI agent trades the paper accounts every day for forty seven different solo trader brands. Six months ago a 14 year old in Shenzhen pushed an AI agent to GitHub. Judges said no real world application. 3,100 forks later. The content farm had been one of the early adopters. The agent now runs the paper trades viewers think are real. He deleted the video three hours later. Too late. Someone had already screen recorded it. The clip hit Discord. Then Telegram. Then Weibo. The original tutorial had 200 views. The clip of the back of the room has 400,000. 600K people watching the empty desks now. He has not posted anything since. The monitors are still on. The paper accounts are still trading. The content farm is still renting the desk. He wanted to show people how he made it as a solo trader. He accidentally showed them what his desk does when forty six other people rent it.

一个中国 crypto trader，在 TikTok 上发了一段 neural network visualization 结果疑似不小心把系统正在 Polymarket 实时交易的画面露出来了 画面里全是蓝色连接线 hidden layers 纵向堆叠 neurons 在屏幕上不断触发 大多数人第一次看时，都忽略了中间一个很小的标签： “Bitcoin XVIII” 他把这条视频包装成一个普通 AI experiment 虚拟水族馆模拟 reinforcement learning “教神经网络学习生存行为。” 这是视频标题 但暂停在 0:16，细节就不对了 Profile： 模型似乎并不是在学习鱼的行为 hidden layer 里的标签，几乎和实时 Bitcoin prediction markets 对上了： price windows directional probabilities volatility ranges 这些信息被直接映射到 neural network 的 nodes 上，而所谓“模拟”还在后台继续运行 然后大家找到了这个 wallet 30 天 profit：$367,385 1,988 predictions 最大单笔 win：$183,000 几乎所有 active positions，都和 Bitcoin range markets 有关 entry price 集中在 94-98¢ 这正是自动化系统最喜欢 farm 的那类低波动 spreads： 赔率很高 空间很小 但可以持续重复 而且不需要人工一直盯着 1 小时内，评论区直接变成 detective board 有人把 TikTok 调到 0.25x 逐帧拼接 neural network 画面 然后把 hidden layer labels 和这个 Polymarket wallet 的 active positions 一一对比 时间点匹配得太精准 观众以为自己在看 AI visualization 但后台看起来更像是一个模型正在实时分类 market conditions，并根据 BTC 短线波动，把交易自动分配到不同 probability buckets 原 TikTok 只有 11,000 views。 但那条曝光 wallet 的 repost，一夜之间超过 600,000 views。 第二天早上，已经有人开始 clone 这个 interface，重建 network layout，并试图弄清楚： 为什么这个账户几乎所有 positions 都集中在 96-99¢，而且投入金额异常高。 最有意思的是： 原作者没有删除任何内容。 Wallet 也仍然 active。 问题是： 这类 Polymarket bot 的 edge，来自预测 BTC，还是来自把实时市场状态映射成可自动执行的概率分组？

OpenAI just ordered 100,000 Blackwell GPUs from NVIDIA. A Chinese developer put one of NVIDIA's $3,999 desktop AI boxes on his office desk and ran the same robot simulator the big labs train on $50,000 racks. The demo was a single empty cube floating in an empty world. Fifty frames per second. He posted the clip with one line. Is this how home robotics starts or is this an expensive toy. The clip went viral the same week NVIDIA shipped the second batch of Sparks to developers. 1.8 million views in 72 hours. Every American hardware engineer shared it as proof you could finally own the rig. Every Chinese commenter left the same Mandarin reply: pause at 1:42. Pause at 1:42. Ignore the empty cube on the screen. Ignore the FPS counter. Look at the memory readout in the top bar. 2.4 GiB used. 87.4 GiB available. The cube is sitting in three percent of the memory. The empty 84 gigabytes of memory was not headroom for a future robot scene. The empty 84 gigabytes was already running. ColdMath. $138,168 profit. Joined November 2025. Bio: Edge Compounds. He had not bought the Spark to train robots. He had bought it because robots were the only workload NVIDIA shipped a 128 gigabyte chip for. The slow memory that ruined the box for real robotics was perfect for what he was actually running. Twelve hundred ensemble weather simulations in parallel. Robot training needs fast memory because every frame is a step in a training loop. Weather ensembles need huge memory because every city is a parallel simulation that does not talk to the others. The Spark's chip is six times slower than a gaming card. It is also five times larger. The trade off only matters if you know what you are running. He knew. Wellington 16C on March 28. Tokyo 16C on March 20. Every city in the wallet was a city the ensemble had simulated three hours before the public forecast posted. Comments turned into a detective board. Someone slowed the clip to 0.25x. Someone else compared the wallet's trade timestamps to the timestamps the public forecast services updated their data. Every trade landed during the three hour gap. The Spark had been catching it. Six months ago a 14 year old in Shenzhen pushed an AI agent to GitHub. Judges said no real world application. 3,100 forks later. The developer in the office cubicle had been one of them. He had wired the agent into the Spark the same week NVIDIA shipped his box. The empty cube was not a benchmark. The empty cube was a screen saver running while the agent occupied the other 84 gigabytes. The Isaac Sim install was not the project. The Isaac Sim install was the proof he could justify buying the box on company expenses. The question about whether this was a real tool or an expensive toy was the only thing in the video designed to be answered by the audience. He was not a Chinese developer testing whether home robotics had arrived. He was the first developer to figure out that the box NVIDIA had marketed for the wrong workload was the cheapest weather simulator on the market. The clip is at 1.8 million views. The forum thread is still arguing about the six times memory penalty. The Spark on his desk is still running. The wallet is still hitting cities the public forecast services have not updated yet. The cube is still floating in three percent of the memory. The country with the better robotics demo has the smaller wallet. The dev with the wrong tool for the job has the bigger one. He just had to install a robot simulator for one afternoon.