Front-page articles summarized hourly.
前衛芸術家草間弥生が14日、多臓器不全のため東京都の病院で死去。97歳。長野県出身。葬儀は近親者で済ませ、後日お別れの会を予定。1957年に渡米、73年に帰国するまで主にニューヨークを拠点に活動。“水玉”や“網目”のモチーフとカボチャのオブジェで世界的に評価され、“ハプニングの女王”と称された。幼少期の幻覚を恐怖から逃れるため描くようになったという。絵画・版画のほかソフトスカルプチャーや南瓜など多彩な作品を展開。93年のベネチア・ビエンナーレ日本代表、98年のNYMoMA個展など回顧展が欧米で拡大。
LAION-BVD is a large-scale, open video dataset for multimodal pre-training across video, audio, and image modalities. It aggregates 1.3B platform-specific video URLs from Common Crawl and downloads 80M videos (≈10M hours). The dataset offers synthetic video and audio captions and scene-change frames for image-text data. Models trained on LAION-BVD achieve competitive results on ViCLIP (video-text), CLAP (audio-text), and CLIP (image-text) benchmarks, with improvements as data/model scale increases (e.g., up to 2.1% over InternVid, 10–50M clips). Released for research, not commercial use, with biases and limitations acknowledged.
OpenExecutive is an AI-powered virtual executive team that speaks with a single coherent CEO voice backed by eight specialist Claude agents (CSO, CFO, CHRO, GC, COO, CMO, CPO, Board Communications Director). It uses an Executive Orchestrator, parallel agent calls, ChromaDB for RAG, episodic memory, and a built-in scheduler to surface actions. It provides a web UI (Next.js) and APIs (FastAPI) and integrates with Slack, Email, Telegram, Google Chat, and Discord. Onboarding builds a company profile; deployment on Fly.io with dev/qa environments; supports local or OpenRouter/open models; Apache 2.0 license.
Alex Russell's 2026 update argues the Performance Inequality Gap is widening due to slower networks and aging devices. Updated budgets (9 Mbps down, 3 Mbps up, ~100 ms RTT) and test devices emphasize low-end Androids; 3s and 5s budgets still allow generous payloads, but median mobile pages (~2.6 MiB) and 75th-percentile sizes exceed DOOM. JavaScript growth and SPA overhead amplify inequality, with Core Web Vitals still failing widely. He urges stronger platform nudges, restraint in frontend, and targeting higher budgets (P75→P90/P95) to make the web fast, inclusive, and competitive.
Data Filtering for Generative Video Pre-training argues data quality, not sheer volume, drives learning. Linum v3 improves prompt adherence, speed, and physics by a data-centric stack: Data Filtering & Rebalancing, Data Annotation, and LLMs with Synthetic Data. Tracing evolution from 2024 CPU CV pipelines (PySceneDetect, EAST, Haar cascades, motion vectors) to 2025 GPUs using AutoShot/TransNetV2, PaddleOCR with TensorRT, and Qwen-2-VL-2B classifiers, then 2025–26 RLVR for fine-grained aesthetics and WAFT for optical flow. Emphasizes iterative labeling, ontology design, and converting labels into distribution edits to curb long-tail bias. Concludes filtering is the biggest lever outside scaling.
Nvidia is in talks to buy Hugging Face for over $13 billion, but no deal yet and talks could still fall apart. Nvidia has a large cash pile, with $18 billion committed to equity investments this year and $47.9 billion in private holdings. Hugging Face, which hosts open-source models and datasets for developers, would give Nvidia closer access to developers—and potentially drive more workloads onto its chips. However, owning it could compromise Hugging Face's neutrality, as it supports models and hardware from rivals like AMD and Intel. Microsoft also held talks, but those aren’t ongoing.
Clerky announced it will join Stripe. Founded to speed routine startup paperwork, Clerky has become a leading online legal service for startups and their attorneys, handling 23% of Silicon Valley seed/pre‑seed financings and supporting over $140B in VC. Startups using Clerky grew formation 6.5x faster in the last year. Clerky and Stripe share a mission, and Clerky will become Stripe’s long‑term home while continuing to offer the same high‑level service. Clerky remains a self‑help legal document assistant, not a law firm, with added resources to build new features.
Zohran’s NYC videos end with simple, human-friendly links to city initiatives (nyc.gov/{initiative}) like click-to-cancel, combat-antisemitism, EndStreetHarassment, jingle, knicks, knicksgame3, rental-ripoff, and Summer. This approach centralizes government outreach on a single NYC-owned hub (nyc.gov), making it easy to engage with city government online. It also funnels social media distribution through a predictable URL pattern and ties announcements to real follow-up experiences.
Asahi Linux reports progress on Linux 7.2 for Apple Silicon. Power management remains tied to PSCI without EL3, so a UEFI/runtime PSCI conduit via m1n1 is being explored, with kernel RFC patches; a simple idle loop fix on M4 helps avoid crashes. SPTM/GXF/SPRR memory protection now enables XNU and hypervisor operation, though full deployment remains work-in-progress. On M3/M4 bringup, webcam and microphone support continue; ACE3 USB-C controller enables USB3/Thunderbolt on M3. ATCPHY adjustments for USB-C remain. AVD and DCP Interchange framebuffer work advances toward direct scanout, but not yet shipped. Upstreaming continues; an official release is anticipated.
Amazon Mechanical Turk will permanently close on September 30, 2026. MTurk is a global on-demand crowdsourcing marketplace that lets organizations outsource microtasks to a distributed workforce, accelerating data collection, moderation, research, and ML development. It offers a pay-per-task model via a web interface or API, enabling tasks from simple data validation to complex human-in-the-loop processes (e.g., labeling data for computer vision). The service promises speed, flexibility, and cost savings by leveraging thousands of workers. Workers/Requesters should consult the FAQ to prepare for closure.
Scott Fryxell argues that the “harness”—a unified, agentic workflow—drives modern software productivity. By integrating planning, execution (worker), critique, and promotion into a single loop, and pairing LLMs (Cursor, Claude, Pi) with scripts, a solo developer can match large teams. He details a DAG-based planner, a task-focused worker, a refining critic, and a promoter to communicate results, all within a cohesive TUIs/AGENTS.md ecosystem. Real-world apps like a poster-driver-enabled tool and vectorization illustrate how the harness commodifies models, reduces token waste, and preserves developer agency amid shifting model access.
Say something people want argues that the fastest path to growth is positioning around what people want, not around categories or buzzwords. Founders often misjudge customer needs and cling to old categories, yielding generic pitches. Instead, identify the target people, talk to ~30 of them, and anchor messaging to three elements: Aspire (who they want to become), Desire (the outcomes they want), and Require (must-have capabilities). Lead with plain language about what you help them accomplish, not your product type. Slack, Cloudflare, Fin, and Wiz illustrate this. Kumo shows reframing to desired outcomes.
Using GAPHAZ-guided lake susceptibility and r.avaflow, this study assesses worst-case GLOFs from two Tibetan lakes (Jialongco, Galongco) and a future lake upstream of Jialongco in the transboundary Poiqu basin. Jialongco presents the closest risk to Nyalam; Galongco could unleash floods an order of magnitude larger downstream; the future lake could reach Jialongco-scale by ~2070 but remain smaller than Galongco. Arrival times: Nyalam 6–11 min, Zhangmu 28–32 min. Infrastructure growth increases exposure. Lake lowering at Jialongco has limited effect on maximum GLOF. Authors call for a comprehensive risk approach: early warning, land-use zoning, and local-response capacity alongside engineering.
Loïs Postula argues that buildings follow a different cost-of-change curve than software: cheap to provision now, expensive to retrofit later. Using a floor 20A raclette outlet (Prise Raclette) and a small garden office wired with multiple fibres, solar-ready cables, and abundant networking gear, he shows how overengineering yields future flexibility. The takeaway: provision the hard-to-change layers generously, because you’ll pay dearly to fix them later—even if Terraform can’t fix your floor.
Magic Patterns' AI Theme Park Generator helps you build your own theme park, featuring a design system and 3D rollercoaster concepts. The page shows starting points and sample parks—Grand Park, Pirate Cove, Chocolate Factory, Epic Rollercoasters, Disco World—and outlines product, enterprise, customers, and pricing options.
Pushup RPG is a free iOS/Android app that counts pushups (and squats, sit-ups; plank timed) in real time with on-device front-camera pose detection. Workouts power a fantasy RPG: defeat 48 foes across 8 biomes, earn XP and loot, and level up a hero via a three-path skill tree. Duel live for 40 seconds with a friend using two cameras, or climb global and country ladders in the Arena. No video leaves your device. No wearables or taps required; sign-in is optional.
IBM unveiled the first dual-architecture mainframe processor for IBM Z and LinuxONE, enabling Arm-native Linux to run alongside z/OS and Linux on IBM Z. Result of the April 2026 IBM–Arm collaboration, it lets Arm workloads run natively with IBM Z or LinuxONE without separate cores, while preserving IBM’s reliability and security. Built on 2nm with 11 cores >5.7 GHz, AI inference accelerators, on‑chip I/O, and a large cache, it scales to hundreds of cores and tens of TB memory. Bridges the Arm ecosystem with IBM enterprise workloads, expanding choice and AI acceleration.
Pants for Birds introduces ADSBee m1421, the world’s smallest dual‑band ADS‑B receiver module. It uses Semtech LR2021 for a compact, low‑power Mode S/UAT front end and TI CC1314 MCU, delivering under 60 mW and under 2 g in a 23.4×14.5×2.7 mm package. Open‑source firmware/schematics (GPLv3); outputs include GDL90, MAVLINK, JSON, CSBee, and raw packets. NDAA variant available; standard $48, NDAA $75, with volume pricing. Sold as module or via ADSBee 1421 Developer Kit ($95) with carrier board and USB programmer. Tools at adsbee.aero; not MLAT-ready, no EMI certification.
Revyl argues that as AI agents improve, verification and runtime validation become the bottleneck, not coding. The traditional linear loop (Idea–Design–Engineering–QA) is replaced by a loop focused on verified changes and observed results, driven by runtime signals from running apps. Design, engineering, and product roles increasingly converge. Revyl aims to build the missing pieces: capture behavioral evidence and runtime signals as core development inputs, integrate with existing tools, and start with mobile. Product development isn’t dead; it’s being rewritten.
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