Ja gut, warens halt 28 bis 30. Ist ja nicht so, dass man schon mal WMs in USA, Mexiko und Brasilien gespielt hätte.

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Es gab es bei den WMs in Europa keine derartigen Probleme Was ist also dein Punkt?

Kroatien auch nicht, keine 4 Mio. Einwohner und bei den letzten beiden WMs Vizeweltmeister und Dritter geworden Türkei 90 Mio Einwohner und kriegen seit Jahrzehnten keine gescheite 11 zusammen

跨境血泪实录：一个日销万单的 Amazon 爆款卖家，是如何被一家“爆仓”的第三方海外仓生生拖到倾家荡产的？ 很多跨境卖家选海外仓，只看对方销售发来的工厂高大上小视频、或者几万平米的干净厂房PPT。 老鬼今天跟你说句大实话：淡季再好的仓库都看不出水平，旺季不爆仓、不瘫痪，才是衡量一家海外仓好坏的唯一标准。 今天老鬼拆解一个我去年亲手接盘做资产重组的真实惨痛案例。建议所有正在备战下半年旺季的卖家先点赞 收藏，关键时刻能保住你的命： 1️⃣ 【背景：烈火烹油的 Amazon 爆款】 这个卖家做的是 3C 数码配件，客单价高，利润丰厚。去年 7 月会员日（Prime Day）前夕，前端运营大发神威，测出了两个超级爆款，日销直接冲破 10000 单。由于 FBA 库容限制，他把 80% 的大货（价值 300 万美金）全部备在了一家美国本土非常知名的第三方海外仓，准备随时中转 FBA。 2️⃣ 【噩梦降临：海外仓的“死锁瘫痪”】 爆单第 4 天，FBA 仓库告急，运营在系统里疯狂下达中转指令。然而，那家海外仓因为淡季盲目接单、旺季严重爆仓，加上临时招募的海外工人（劳工法限制）集体罢工，整个仓库陷入了彻底的瘫痪： 系统失灵： 出库指令下了 4 天，仓库根本没人应答，货物在系统里永远显示“排单中”。 微信失联： 物流商的销售、客服电话打不通，微信群里只有冷冰冰的自动回复。 致命断货： 前端链接（Listing）因为断货，权重从大类目第 5 名一路暴跌到几千名。广告费在空转，店铺被狗血淋头的差评直接淹没。 3️⃣ 【结局：300万美金资产变一堆废铁】 等这家仓库终于把货理清楚、中转进 FBA 的时候，已经是 8 月底了。 错过了黄金销售期，加上竞争对手疯狂卡位，原本的爆款彻底沦为了滞销品。更讽刺的是，因为货在海外仓多压了 40 天，这个卖家月底收到了那家海外仓寄来的、高达 8 万美金的“超期滞销费”和“旺季操作附加费”！ 现金流彻底断裂，一个原本能赚几百万的团队，最终因为后端供应链的崩溃生生被拖到清盘倒闭。 🔍 老鬼教你 2 招，在旺季前提前识别“花架子暴雷仓”： 👉 第一招：看他们的“临时用工储备协议（SLA）”。 签合同前，直接问货代：旺季你们靠什么解决人工短缺？正规大仓会和本土劳务中介（Staffing Agency）签死有保障的旺季派工协议，而黑心仓全靠临时在路边招散工，一到旺季工人嫌累直接撂挑子。 👉 第二招：突击检查他们的系统（WMS）并发处理能力。 让他们的技术开屏幕共享，看一眼他们系统在旺季时的实时并发处理量。如果一个仓库连基本的数据自动化传输（EDI/API）都做不好，全靠人工导 Excel 打印面单，旺季 100% 爆仓。 前端卖得再爽，后端不稳也是给平台和仓库打工。记住老鬼的话：宁可选择名气小但履约率高（SLA达标）的垂直仓，也绝不要去挤那些虚胖的大路货！ 🎁 明天（6月14日）中午 12:00，老鬼将为大家奉上【阶段三】的终极大福利：《粉丝实力宠溺！老鬼团队历时半年整理的【全美、全欧高权重/合规海外仓红黑榜白皮书】无偿释放！》。直接教你闭眼选仓。 最后互动一下：大家在过往的旺季里，有没有被海外仓“爆仓延误”坑过的血泪史？损失最大的一单是多少？来评论区抱团取暖，老鬼在线帮你拆解怎么找货代合理索赔！👇 #跨境电商 #亚马逊大卖 #海外仓爆仓 #跨境物流 #供应链

Die Leute boykottieren die WM. Weil es eine absurde Geldmacherei geworden ist & der Sport inzwischen nur noch eine Nebenrolle ist. Infantino tötet dieses Event. Nach WMs in Russland und Katar nun u.a. die USA, ein Land das in eine Autokratie abrutscht. Da hat keiner Bock drauf.

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War schon was anderes: Bei anderen WMs konnte man während dem Tag immer mal spontan einschalten und es lief Fußball. Jetzt läuft Fußball, wenn man schläft.

ホントですね。しかも値段が戻る気配が無い。。。 （なんか、お久しぶりです）

I think he was so sad inside 😔 like Robin Wms 😢 🤷‍♀️

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ジョン・スペンサーが露骨に反トランプなMVを発表していた＞youtube.com/watch?v=aKQ7kFex…

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3PLの仕分け指示ミスは「波動ピック（17〜19時の2時間に全出荷量の約65%が集中する時間帯）でのピック漏れ（出荷指示票の更新遅延と優先度未反映の2要因）」で1日15件発生してた。n8nでWMS出荷データを5分間隔バッチ取得（WMSキュー滞留件数50件超を検知した時点で1分間隔へ動的切替）→AIが出荷締切残時間・積載率・配送距離を3変数で優先度スコアリング（締切60分以内を最優先キュー投入（積載率80%未満かつ配送距離30km超は次優先、それ以外は通常キュー））→TMS配車API（REST/Webhook対応のHacobu MOVO等を想定、他TMSも同インターフェースで代替可）へ自動投入したら、ミス件数が月450件→12件（97.3%削減）に激減。仕分けチェック担当2名×月40h（時給2,500円換算で月20万円）の工数を解放、誤配送クレーム対応コスト月18万円と合算し月38万円削減。初期構築費（n8n設定＋TMS API連携工数）約15万円に対し月削減38万円、ROI回収12日未満（初期費15万円÷月削減38万円×30日≒11.8日）。導入後6ヶ月間の月次ミス件数は8〜16件で安定推移（管理図UCL=20件（導入前6ヶ月の実績μ=15件、3σ管理）以下を全月クリア）。 #DX #AIエージェント #Slack #n8n #物流DX

Hugging Face Daily Papers — 2026-06-13 44 papers today. Full list with arXiv links: 1. EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments Highlight: Large language model (LLM) agents have achieved strong performance on a wide range of benchmarks, yet most evaluations assume static environments. arXiv: arxiv.org/abs/2606.13681 2. MiniMax Sparse Attention Highlight: Ultra-long-context capability is becoming indispensable for frontier LLMs: agentic workflows, repository-scale code reasoning, and persistent memor. arXiv: arxiv.org/abs/2606.13392 3. WeaveBench: A Long-Horizon, Real-World Benchmark for Computer-Use Agents with Hybrid Interfaces Highlight: Computer-use agents (CUAs) increasingly operate in runtimes that combine visual desktop control, command-line execution, code editing, browsers, an. arXiv: arxiv.org/abs/2606.09426 4. SpatialClaw: Rethinking Action Interface for Agentic Spatial Reasoning Highlight: Spatial reasoning, the ability to determine where objects are, how they relate, and how they move in 3D, remains a fundamental challenge for vision. arXiv: arxiv.org/abs/2606.13673 5. InterleaveThinker: Reinforcing Agentic Interleaved Generation Highlight: Recent image generators have demonstrated impressive photorealism and instruction-following capabilities in single-image generation and editing. Ho. arXiv: arxiv.org/abs/2606.13679 6. MaxProof: Scaling Mathematical Proof with Generative-Verifier RL and Population-Level Test-Time Scaling Highlight: We present MaxProof, a population-level test-time scaling framework for competition-level mathematical proof in the MiniMax-M3 series. M3 first tra. arXiv: arxiv.org/abs/2606.13473 7. Robust-U1: Can MLLMs Self-Recover Corrupted Visual Content for Robust Understanding? Highlight: Multimodal Large Language Models (MLLMs) have demonstrated remarkable success in visual understanding, yet their performance degrades significantly. arXiv: arxiv.org/abs/2606.08063 8. FORT-Searcher: Synthesizing Shortcut-Resistant Search Tasks for Training Deep Search Agents Highlight: Training deep search agents requires verifiable questions whose answers remain unavailable until sufficient evidence has been acquired through sear. arXiv: arxiv.org/abs/2606.12087 9. LabVLA: Grounding Vision-Language-Action Models in Scientific Laboratories Highlight: Scientific laboratories increasingly rely on AI systems to reason about experiments, but the physical act of doing science remains largely outside. arXiv: arxiv.org/abs/2606.13578 10. HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers Highlight: Holistic visual tokenizers are fundamental to unified multimodal models (UMMs) as they map diverse visual inputs into a unified representation spac. arXiv: arxiv.org/abs/2606.13289 11. N-GRPO: Embedding-Level Neighbor Mixing for Enhanced Policy Optimization Highlight: The success of Large Language Models in mathematical reasoning relies heavily on the generation of diverse and valid solution paths during the roll. arXiv: arxiv.org/abs/2606.10768 12. EurekAgent: Agent Environment Engineering is All You Need For Autonomous Scientific Discovery Highlight: LLM-based agents have shown increasing potential in automating scientific discovery. Given an optimizable metric and an execution environment, they. arXiv: arxiv.org/abs/2606.13662 13. Demystifying Hidden-State Recurrence: Switchable Latent Reasoning with On-Policy Reinforcement Learning Highlight: Latent chain-of-thought compresses reasoning by replacing visible reasoning traces with continuous hidden-state recurrence, but existing formulatio. arXiv: arxiv.org/abs/2606.13106 14. VideoMDM: Towards 3D Human Motion Generation From 2D Supervision Highlight: We introduce VideoMDM, a diffusion-based framework that trains 3D human motion priors directly from accurate 2D poses extracted from monocular vide. arXiv: arxiv.org/abs/2606.13364 15. VIA-SD: Verification via Intra-Model Routing for Speculative Decoding Highlight: Speculative decoding (SD) addresses the high inference costs of LLMs by having lightweight drafters generate candidates for large verifiers to vali. arXiv: arxiv.org/abs/2606.12243 16. Where, What, Why, and Importance: Structured Defect Grounding for Text-to-Image Feedback Highlight: Despite generating increasingly photorealistic images, text-to-image (T2I) models still exhibit localized, subtle, and structurally complex failure. arXiv: arxiv.org/abs/2606.06113 17. From 2D Grids to 1D Tokens: Reforming Shared Representations for Multimodal Image Fusion Highlight: Multimodal image fusion aims to integrate complementary information from different modalities into a fused image that preserves rich local details. arXiv: arxiv.org/abs/2606.12303 18. MoVerse: Real-Time Video World Modeling with Panoramic Gaussian Scaffold Highlight: We present MoVerse, a real-time video world model that creates an interactively navigable scene from a single narrow-field-of-view image. This sett. arXiv: arxiv.org/abs/2606.13376 19. TreeSeeker: Tree-Structured Trial, Error, and Return in Deep Search Highlight: Deep search requires agents to answer complex questions through multi-step web search, browsing, evidence comparison, and synthesis. A central chal. arXiv: arxiv.org/abs/2606.11662 20. HarnessBridge: Learnable Bidirectional Controller for LLM Agent Harness Highlight: Large language models are increasingly deployed as agents for long-horizon tasks, yet their performance is shaped not only by model capability and. arXiv: arxiv.org/abs/2606.12882 21. Risk Under Pressure: Compute-Aware Evaluation of Adversarial Robustness in Language Models Highlight: Adversarial robustness evaluations of large language models (LLMs) typically report attack success rate (ASR) under fixed query budgets, implicitly. arXiv: arxiv.org/abs/2606.11409 22. High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Highlight: Few-step diffusion distillation has become increasingly mature for 4-8-step generation, yet pushing further to 2 steps remains challenging. In this. arXiv: arxiv.org/abs/2606.12575 23. Visual Para-Thinker : A Single-Policy Multi-Agent Framework for Visual Reasoning Highlight: Visual reasoning requires integrating evidence distributed across regions, attributes, and relations, making single-chain reasoning prone to early. arXiv: arxiv.org/abs/2606.09290 24. SG-OPD: Sign-Gated On-Policy Distillation via Sign-Consistency Gating and Phased Teacher Sampling Highlight: On-policy distillation (OPD) trains a student on its own trajectories with dense per-token supervision from a stronger teacher, and often outperfor. arXiv: arxiv.org/abs/2606.09304 25. Rethinking Psychometric Evaluation of LLMs: When and Why Self-Reports Predict Behavior Highlight: Anticipating LLM behavioral tendencies from low-cost psychometric probes is critical for safe deployment, but only if self-reports (SR) reliably pr. arXiv: arxiv.org/abs/2606.12730 26. EvoBrowseComp: Benchmarking Search Agents on Evolving Knowledge Highlight: Search Agents -- large language models augmented with search tools -- have intensified the need for future-proof evaluation benchmarks. Existing be. arXiv: arxiv.org/abs/2606.13120 27. MaskAlign: Token-Subset Representation Alignment for Efficient Diffusion Training Highlight: Representation alignment with pretrained vision models has recently shown strong potential for accelerating diffusion transformer training. By alig. arXiv: arxiv.org/abs/2606.08788 28. See What I See, Know What I Think: Dense Latent Communication Across Heterogeneous Agents Highlight: Multi-agent systems communicate mostly through text, paying a lossy and expensive decode and re-encode cost. KV-cache communication is a promising. arXiv: arxiv.org/abs/2606.13594 29. Evoflux: Inference-Time Evolution of Executable Tool Workflows for Compact Agents Highlight: Compact language models (LMs) reduce cost, latency, and deployment risk for tool agents. Yet MCP-style tool use requires more than isolated functio. arXiv: arxiv.org/abs/2606.12674 30. MuJoCo-Drones-Gym: A GPU-Accelerated Multi-Drone Simulator for Control and Reinforcement Learning Highlight: Robotic simulators are a cornerstone of modern research in aerial robotics, serving both as a vehicle for the development of new control algorithms. arXiv: arxiv.org/abs/2606.08039 31. Getting Better at Working With You: Compiling User Corrections into Runtime Enforcement for Coding Agents Highlight: Interactive LLM agents are becoming part of daily work, but they do not reliably become easier to work with over time: a correction remembered in o. arXiv: arxiv.org/abs/2606.13174 32. ArogyaSutra: A Multi-Agent Framework for Multimodal Medical Reasoning in Indic Languages Highlight: Multimodal Large Language Models (MLLMs) have shown promising reasoning capabilities in general domains, yet their performance remains limited in s. arXiv: arxiv.org/abs/2606.13572 33. $\texttt{WEAVER}$, Better, Faster, Longer: An Effective World Model for Robotic Manipulation Highlight: The potential impacts of world models (WMs, i.e., learned simulators) on robotics are far-reaching -- policy evaluation, policy improvement, and te. arXiv: arxiv.org/abs/2606.13672 34. Surflo: Consistent 3D Surface Flow Model with Global State Highlight: Geometry is invariant to viewpoint, which makes any collection of images a redundant encoding of a single 3D state. Existing feed-forward reconstru. arXiv: arxiv.org/abs/2606.13644 35. WebChallenger: A Reliable and Efficient Generalist Web Agent Highlight: Autonomous web navigation remains challenging for LLM agents, and the strongest generalist systems rely on proprietary reasoning models whose infer. arXiv: arxiv.org/abs/2606.10423 36. Flash-GMM: A Memory-Efficient Kernel for Scalable Soft Clustering Highlight: We present \textbf{Flash-GMM}, a fused Triton kernel for efficient computation of Gaussian Mixture Models (GMMs) over large-scale data in a single. arXiv: arxiv.org/abs/2606.10896 37. IDEAL: In-DEpth ALignment Makes A Discrete Representation AutoEncoder Highlight: Built on pretrained vision foundation models (VFMs), representation autoencoders (RAEs) have recently emerged as a promising approach for construct. arXiv: arxiv.org/abs/2606.11096 38. Revisiting Articulated Parts Perception in Robot Manipulation Highlight: We are surrounded by various objects with movable, articulated parts, e.g., box, handle, door. An accurate and generalizable perception of articula. arXiv: arxiv.org/abs/2606.08103 39. The Cold-Start Safety Gap in LLM Agents Highlight: Are tool-calling LLM agents equally safe throughout a conversation? We discover they are not: agents are most vulnerable at the very start of a ses. arXiv: arxiv.org/abs/2606.07867 40. ToolSense: A Diagnostic Framework for Auditing Parametric Tool Knowledge in LLMs Highlight: Large language models deployed as agents over large tool catalogs face a critical tool-retrieval bottleneck. As embedding-based retrieval approache. arXiv: arxiv.org/abs/2606.12451 41. A Stationary (and Therefore Compatible) Representation is All You Need Highlight: Learning compatible representations aims to learn feature representations that can be used interchangeably over time whenever a model undergoes upd. arXiv: arxiv.org/abs/2606.12488 42. PianoKontext: Expressive Performance Rendering from Deadpan Context Highlight: Expressive performance rendering (EPR) aims to generate realistic performances constrained on sequences of notes. However, flow matching audio edit. arXiv: arxiv.org/abs/2606.12282 43. Leveraging Morphology for Historical Script Metrological Analysis Highlight: Advances in handwritten text recognition have enabled large-scale transcription of historical documents, but still provide limited access to interp. arXiv: arxiv.org/abs/2606.09446 44. On the Limits of LLM Adaptability: Impact of Model-Internalized Priors on Annotation Task Performance Highlight: Large Language Models (LLMs) are increasingly used for zero-shot annotation and LLM-as-a-judge tasks, yet their reliability hinges on how model-int. arXiv: arxiv.org/abs/2606.00467 Trend summary: - Agents / Computer-use / Spatial reasoning: 18 - Multimodal / Vision / Video: 10 - Reasoning / Math / RL: 7 - Other ML methods: 5 - LLMs / Efficient modeling: 3 - Audio / Speech: 1 Papers with code links found: 32/44

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