{"date":"2025-12-15","schema_version":1,"captured_at":"2026-08-25T23:05:01.478Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Dhurandhar","views":617381,"rank":4,"extract":"Dhurandhar is a 2025 Indian Hindi-language spy action thriller film written and directed by Aditya Dhar. It is produced by Aditya Dhar, Lokesh Dhar and Jyoti Deshpande under Jio Studios and B62 Studios. 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I don't write like ChatGPT, ChatGPT writes like me","points":800,"comments":504,"url":"https://marcusolang.substack.com/p/im-kenyan-i-dont-write-like-chatgpt","discussion":"https://news.ycombinator.com/item?id=46273466"},{"title":"Roomba maker goes bankrupt, Chinese owner emerges","points":670,"comments":809,"url":"https://news.bloomberglaw.com/bankruptcy-law/robot-vacuum-roomba-maker-files-for-bankruptcy-after-35-years","discussion":"https://news.ycombinator.com/item?id=46268854"},{"title":"“Super secure” messaging app leaks everyone's phone number","points":623,"comments":304,"url":"https://ericdaigle.ca/posts/super-secure-maga-messaging-app-leaks-everyones-phone-number/","discussion":"https://news.ycombinator.com/item?id=46279123"},{"title":"Secret Documents Show Pepsi and Walmart Colluded to Raise Food Prices","points":601,"comments":161,"url":"https://www.thebignewsletter.com/p/secret-documents-show-pepsi-and-walmart","discussion":"https://news.ycombinator.com/item?id=46280887"},{"title":"If AI replaces workers, should it also pay taxes?","points":588,"comments":1012,"url":"https://english.elpais.com/technology/2025-11-30/if-ai-replaces-workers-should-it-also-pay-taxes.html","discussion":"https://news.ycombinator.com/item?id=46268709"},{"title":"Thousands of U.S. farmers have Parkinson's. They blame a deadly pesticide","points":456,"comments":351,"url":"https://www.mlive.com/news/2025/12/thousands-of-us-farmers-have-parkinsons-they-blame-a-deadly-pesticide.html","discussion":"https://news.ycombinator.com/item?id=46275079"},{"title":"Ford kills the All-Electric F-150","points":439,"comments":896,"url":"https://www.wired.com/story/ford-kills-electric-f-150-lightning-for-hybrid/","discussion":"https://news.ycombinator.com/item?id=46281182"},{"title":"Pro-democracy HK tycoon Jimmy Lai convicted in national security trial","points":438,"comments":483,"url":"https://www.bbc.com/news/articles/cp844kjj37vo","discussion":"https://news.ycombinator.com/item?id=46276740"},{"title":"Carrier Landing in Top Gun for the NES","points":381,"comments":163,"url":"https://relaxing.run/blag/posts/top-gun-landing/","discussion":"https://news.ycombinator.com/item?id=46274822"},{"title":"JetBlue flight averts mid-air collision with US Air Force jet","points":378,"comments":319,"url":"https://www.reuters.com/world/americas/jetblue-flight-averts-mid-air-collision-with-us-air-force-jet-2025-12-15/","discussion":"https://news.ycombinator.com/item?id=46281944"},{"title":"Avoid UUID Version 4 Primary Keys in Postgres","points":377,"comments":449,"url":"https://andyatkinson.com/avoid-uuid-version-4-primary-keys","discussion":"https://news.ycombinator.com/item?id=46272487"},{"title":"Problems with D-Bus on the Linux desktop","points":336,"comments":318,"url":"https://blog.vaxry.net/articles/2025-dbusSucks","discussion":"https://news.ycombinator.com/item?id=46278857"},{"title":"Rob Reiner has died","points":326,"comments":240,"url":"https://www.hollywoodreporter.com/movies/movie-news/rob-reiner-dead-harry-met-sally-princess-bride-all-in-family-1236450387/","discussion":"https://news.ycombinator.com/item?id=46270273"},{"title":"Upcoming Changes to Let's Encrypt Certificates","points":321,"comments":322,"url":"https://community.letsencrypt.org/t/upcoming-changes-to-let-s-encrypt-certificates/243873","discussion":"https://news.ycombinator.com/item?id=46279241"},{"title":"Unscii","points":321,"comments":58,"url":"http://viznut.fi/unscii/","discussion":"https://news.ycombinator.com/item?id=46270282"},{"title":"Microsoft Copilot AI Comes to LG TVs, and Can't Be Deleted","points":302,"comments":319,"url":"https://www.techpowerup.com/344075/microsoft-copilot-ai-comes-to-lg-tvs-and-cant-be-deleted","discussion":"https://news.ycombinator.com/item?id=46268844"},{"title":"SoundCloud has banned VPN access","points":293,"comments":212,"url":"https://old.reddit.com/r/SoundCloudMusic/comments/1pltd19/soundcloud_just_banned_vpn_access/","discussion":"https://news.ycombinator.com/item?id=46269891"},{"title":"Fix HDMI-CEC weirdness with a Raspberry Pi and a $7 cable","points":281,"comments":144,"url":"https://johnlian.net/posts/hdmi-cec/","discussion":"https://news.ycombinator.com/item?id=46281060"},{"title":"Working quickly is more important than it seems (2015)","points":271,"comments":130,"url":"https://jsomers.net/blog/speed-matters","discussion":"https://news.ycombinator.com/item?id=46270918"},{"title":"Nvidia Nemotron 3 Family of Models","points":257,"comments":59,"url":"https://research.nvidia.com/labs/nemotron/Nemotron-3/","discussion":"https://news.ycombinator.com/item?id=46275111"},{"title":"Arborium: Tree-sitter code highlighting with Native and WASM targets","points":230,"comments":45,"url":"https://arborium.bearcove.eu/","discussion":"https://news.ycombinator.com/item?id=46270298"},{"title":"US Tech Force","points":228,"comments":299,"url":"https://techforce.gov/","discussion":"https://news.ycombinator.com/item?id=46277353"},{"title":"Chafa: Terminal Graphics for the 21st Century","points":228,"comments":33,"url":"https://hpjansson.org/chafa/","discussion":"https://news.ycombinator.com/item?id=46278208"},{"title":"Umbrel – Personal Cloud","points":220,"comments":122,"url":"https://umbrel.com","discussion":"https://news.ycombinator.com/item?id=46279187"},{"title":"Full Unicode Search at 50× ICU Speed with AVX‑512","points":217,"comments":77,"url":"https://ashvardanian.com/posts/search-utf8/","discussion":"https://news.ycombinator.com/item?id=46276826"}],"research":[{"title":"Personalized Federated Learning with Exact Stochastic Gradient Descent","abstract":"We propose a Stochastic Gradient Descent (SGD)-type algorithm for Personalized Federated Learning which can be particularly attractive for mobile energy-limited regimes due to its low per-client computational cost. The model to be trained includes a set of common weights for all clients, and a set of personalized weights that are specific to each client. At each optimization round, randomly selected clients perform m","authors":["Nikoloutsopoulos, Sotirios","Koutsopoulos, Iordanis","Titsias, Michalis K."],"url":"https://arxiv.org/abs/2202.09848","arxiv_id":"2202.09848","published":"2025-12-15"},{"title":"3DSGrasp: 3D Shape-Completion for Robotic Grasp","abstract":"Real-world robotic grasping can be done robustly if a complete 3D Point Cloud Data (PCD) of an object is available. However, in practice, PCDs are often incomplete when objects are viewed from few and sparse viewpoints before the grasping action, leading to the generation of wrong or inaccurate grasp poses. We propose a novel grasping strategy, named 3DSGrasp, that predicts the missing geometry from the partial PCD t","authors":["Mohammadi, Seyed S.","Duarte, Nuno F.","Dimou, Dimitris","Wang, Yiming","Taiana, Matteo","Morerio, Pietro"],"url":"https://arxiv.org/abs/2301.00866","arxiv_id":"2301.00866","published":"2025-12-15"},{"title":"GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism","abstract":"Graph neural networks (GNNs), an emerging class of machine learning models for graphs, have gained popularity for their superior performance in various graph analytical tasks. Mini-batch training is commonly used to train GNNs on large graphs, and data parallelism is the standard approach to scale mini-batch training across multiple GPUs. Data parallel approaches contain redundant work as subgraphs sampled by differe","authors":["Polisetty, Sandeep","Liu, Juelin","Falus, Kobi","Fung, Yi Ren","Lim, Seung-Hwan","Guan, Hui"],"url":"https://arxiv.org/abs/2303.13775","arxiv_id":"2303.13775","published":"2025-12-15"},{"title":"Joint Learning of Wording and Formatting for Singable Melody-to-Lyric Generation","abstract":"Despite progress in melody-to-lyric generation, a substantial singability gap remains between machine-generated lyrics and those written by human lyricists. In this work, we aim to narrow this gap by jointly learning both wording and formatting for melody-to-lyric generation. After general-domain pretraining, our model acquires length awareness through an self-supervised stage trained on a large text-only lyric corpu","authors":["Ou, Longshen","Ma, Xichu","Wang, Ye"],"url":"https://arxiv.org/abs/2307.02146","arxiv_id":"2307.02146","published":"2025-12-15"},{"title":"AI and Jobs: Has the Inflection Point Arrived? Evidence from an Online Labor Platform","abstract":"This study investigates how artificial intelligence (AI) influences various online labor markets (OLMs) over time. Employing the Difference-in-Differences method, we discovered two distinct scenarios following ChatGPT's launch: displacement effects featuring reduced work volume and earnings, exemplified by translation & localization OLM; productivity effects featuring increased work volume and earnings, exemp","authors":["Qiao, Dandan","Rui, Huaxia","Xiong, Qian"],"url":"https://arxiv.org/abs/2312.04180","arxiv_id":"2312.04180","published":"2025-12-15"},{"title":"DoDo-Code: an Efficient Levenshtein Distance Embedding-based Code for 4-ary IDS Channel","abstract":"With the emergence of new storage and communication methods, the insertion, deletion, and substitution (IDS) channel has attracted considerable attention. However, many topics on the IDS channel and the associated Levenshtein distance remain open, making the invention of a novel IDS-correcting code a hard task. Furthermore, current studies on single-IDS-correcting code misalign with the requirements of applications w","authors":["Guo, Alan J. X.","Sun, Sihan","Wei, Xiang","Wei, Mengyi","Chen, Xin"],"url":"https://arxiv.org/abs/2312.12717","arxiv_id":"2312.12717","published":"2025-12-15"},{"title":"M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation","abstract":"In this paper, we introduce a new embedding model called M3-Embedding, which is distinguished for its versatility in \\textit{Multi-Linguality}, \\textit{Multi-Functionality}, and \\textit{Multi-Granularity}. It provides a uniform support for the semantic retrieval of more than 100 working languages. It can simultaneously accomplish the three common retrieval functionalities: dense retrieval, multi-vector retrieval, and","authors":["Chen, Jianlv","Xiao, Shitao","Zhang, Peitian","Luo, Kun","Lian, Defu","Liu, Zheng"],"url":"https://arxiv.org/abs/2402.03216","arxiv_id":"2402.03216","published":"2025-12-15"},{"title":"Efficient Action Counting with Dynamic Queries","abstract":"Temporal repetition counting aims to quantify the repeated action cycles within a video. The majority of existing methods rely on the similarity correlation matrix to characterize the repetitiveness of actions, but their scalability is hindered due to the quadratic computational complexity. In this work, we introduce a novel approach that employs an action query representation to localize repeated action cycles with ","authors":["Ma, Xiaoxuan","Li, Zishi","Shang, Qiuyan","Zhu, Wentao","Ci, Hai","Qiao, Yu"],"url":"https://arxiv.org/abs/2403.01543","arxiv_id":"2403.01543","published":"2025-12-15"},{"title":"A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services","abstract":"As Machine Learning grows in popularity across various fields, equity has become a key focus for the AI community. However, fairness-oriented approaches are still underexplored in smart mobility. Addressing this gap, our study investigates the balance between performance optimization and algorithmic fairness in shared micromobility services providing a novel framework based on Reinforcement Learning. Exploiting Q-lea","authors":["Cederle, Matteo","Piron, Luca Vittorio","Ceccon, Marina","Chiariotti, Federico","Fabris, Alessandro","Fabris, Marco"],"url":"https://arxiv.org/abs/2403.15780","arxiv_id":"2403.15780","published":"2025-12-15"},{"title":"The Expressive Capacity of State Space Models: A Formal Language Perspective","abstract":"Recently, recurrent models based on linear state space models (SSMs) have shown promising performance in language modeling (LM), competititve with transformers. However, there is little understanding of the in-principle abilities of such models, which could provide useful guidance to the search for better LM architectures. We present a comprehensive theoretical study of the capacity of such SSMs as it compares to tha","authors":["Sarrof, Yash","Veitsman, Yana","Hahn, Michael"],"url":"https://arxiv.org/abs/2405.17394","arxiv_id":"2405.17394","published":"2025-12-15"},{"title":"Grammar-Aligned Decoding","abstract":"Large Language Models (LLMs) struggle with reliably generating highly structured outputs, such as program code, mathematical formulas, or well-formed markup. Constrained decoding approaches mitigate this problem by greedily restricting what tokens an LLM can output at each step to guarantee that the output matches a given constraint. Specifically, in grammar-constrained decoding (GCD), the LLM's output must follo","authors":["Park, Kanghee","Wang, Jiayu","Berg-Kirkpatrick, Taylor","Polikarpova, Nadia","D'Antoni, Loris"],"url":"https://arxiv.org/abs/2405.21047","arxiv_id":"2405.21047","published":"2025-12-15"},{"title":"M2NO: An Efficient Multi-Resolution Operator Framework for Dynamic Multi-Scale PDE Solvers","abstract":"Solving high-dimensional partial differential equations (PDEs) efficiently requires handling multi-scale features across varying resolutions. To address this challenge, we present the Multiwavelet-based Multigrid Neural Operator (M2NO), a deep learning framework that integrates a multigrid structure with predefined multiwavelet spaces. M2NO leverages multi-resolution analysis to selectively transfer low-frequency err","authors":["Li, Zhihao","Lai, Zhilu","Zhang, Xiaobo","Wang, Wei"],"url":"https://arxiv.org/abs/2406.04822","arxiv_id":"2406.04822","published":"2025-12-15"},{"title":"From Next-Token to Mathematics: The Learning Dynamics of Mathematical Reasoning in Language Models","abstract":"Large Language Models (LLMs) solely trained on next-token prediction learn to solve a wide range of problems involving mathematical reasoning. But how does this ability evolve during training? We show the first analysis of how mathematical reasoning abilities of several open-weight LLMs develop during pre-training and post-training. To this end, we construct MathCAMPS, a synthetic dataset of novel mathematical reason","authors":["Mishra, Shubhra","Poesia, Gabriel","Goodman, Noah D."],"url":"https://arxiv.org/abs/2407.00900","arxiv_id":"2407.00900","published":"2025-12-15"},{"title":"Rolling in the deep of cognitive and AI biases","abstract":"Nowadays, we delegate many of our decisions to Artificial Intelligence (AI) that acts either in solo or as a human companion in decisions made to support several sensitive domains, like healthcare, financial services and law enforcement. AI systems, even carefully designed to be fair, are heavily criticized for delivering misjudged and discriminated outcomes against individuals and groups. Numerous work on AI algorit","authors":["Tantalaki, Nicoleta","Vakali, Athena"],"url":"https://arxiv.org/abs/2407.21202","arxiv_id":"2407.21202","published":"2025-12-15"},{"title":"Visual-Friendly Concept Protection via Selective Adversarial Perturbations","abstract":"Personalized concept generation by tuning diffusion models with a few images raises potential legal and ethical concerns regarding privacy and intellectual property rights. Researchers attempt to prevent malicious personalization using adversarial perturbations. However, previous efforts have mainly focused on the effectiveness of protection while neglecting the visibility of perturbations. They utilize global advers","authors":["Mi, Xiaoyue","Tang, Fan","Wu, You","Cao, Juan","Li, Peng","Liu, Yang"],"url":"https://arxiv.org/abs/2408.08518","arxiv_id":"2408.08518","published":"2025-12-15"},{"title":"HyperSBINN: A Hypernetwork-Enhanced Systems Biology-Informed Neural Network for Efficient Drug Cardiosafety Assessment","abstract":"Mathematical modeling in systems toxicology enables a comprehensive understanding of the effects of pharmaceutical substances on cardiac health. However, the complexity of these models limits their widespread application in early drug discovery. In this paper, we introduce a novel approach to solving parameterized models of cardiac action potentials by combining meta-learning techniques with Systems Biology-Informed ","authors":["Soukarieh, Inass","Hessler, Gerhard","Minoux, Hervé","Mohr, Marcel","Schmidt, Friedemann","Wenzel, Jan"],"url":"https://arxiv.org/abs/2408.14266","arxiv_id":"2408.14266","published":"2025-12-15"},{"title":"Multimodal Learning for Scalable Representation of High-Dimensional Medical Data","abstract":"Integrating artificial intelligence (AI) with healthcare data is rapidly transforming medical diagnostics and driving progress toward precision medicine. However, effectively leveraging multimodal data, particularly digital pathology whole slide images (WSIs) and genomic sequencing, remains a significant challenge due to the intrinsic heterogeneity of these modalities and the need for scalable and interpretable frame","authors":["Alsaafin, Areej","Shafique, Abubakr","Alfasly, Saghir","Kalari, Krishna R.","Tizhoosh, H. R."],"url":"https://arxiv.org/abs/2409.13115","arxiv_id":"2409.13115","published":"2025-12-15"},{"title":"Noise-Robust and Resource-Efficient ADMM-based Federated Learning","abstract":"Federated learning (FL) leverages client-server communications to train global models on decentralized data. However, communication noise or errors can impair model accuracy. To address this problem, we propose a novel FL algorithm that enhances robustness against communication noise while also reducing communication load. We derive the proposed algorithm through solving the weighted least-squares (WLS) regression pr","authors":["Lari, Ehsan","Arablouei, Reza","Gogineni, Vinay Chakravarthi","Werner, Stefan"],"url":"https://arxiv.org/abs/2409.13451","arxiv_id":"2409.13451","published":"2025-12-15"},{"title":"MiSS: Revisiting the Trade-off in LoRA with an Efficient Shard-Sharing Structure","abstract":"Low-Rank Adaptation (LoRA) is a widely adopted technique for parameter-efficient fine-tuning, but its slow convergence has spurred the development of numerous variants. Nevertheless, existing methods often fail to improve performance, memory footprint, and computational efficiency simultaneously. To address this challenge, we revisit the causes of LoRA's slow convergence. Building on these insights, we propose Ma","authors":["Kang, Jiale","Yin, Qingyu"],"url":"https://arxiv.org/abs/2409.15371","arxiv_id":"2409.15371","published":"2025-12-15"},{"title":"TAEGAN: Generating Synthetic Tabular Data For Data Augmentation","abstract":"Synthetic tabular data generation has gained significant attention for its potential in data augmentation and privacy-preserving data sharing. While recent methods like diffusion and auto-regressive models (i.e., transformer) have advanced the field, generative adversarial networks (GANs) remain highly competitive due to their training efficiency and strong data generation capabilities. In this paper, we introduce Ta","authors":["Li, Jiayu","Zhao, Zilong","Yee, Kevin","Javaid, Uzair","Sikdar, Biplab"],"url":"https://arxiv.org/abs/2410.01933","arxiv_id":"2410.01933","published":"2025-12-15"},{"title":"Assumption-Lean Post-Integrated Inference with Surrogate Control Outcomes","abstract":"Data integration methods aim to extract low-dimensional embeddings from high-dimensional outcomes to remove unwanted variations, such as batch effects and unmeasured covariates, across heterogeneous datasets. However, multiple hypothesis testing after integration can be biased due to data-dependent processes. We introduce a robust post-integrated inference method that accounts for latent heterogeneity by utilizing co","authors":["Du, Jin-Hong","Roeder, Kathryn","Wasserman, Larry"],"url":"https://arxiv.org/abs/2410.04996","arxiv_id":"2410.04996","published":"2025-12-15"},{"title":"Software Engineering and Foundation Models: Insights from Industry Blogs Using a Jury of Foundation Models","abstract":"Foundation models (FMs) such as large language models (LLMs) have significantly impacted many fields, including software engineering (SE). The interaction between SE and FMs has led to the integration of FMs into SE practices (FM4SE) and the application of SE methodologies to FMs (SE4FM). While several literature surveys exist on academic contributions to these trends, we are the first to provide a practitioner's","authors":["Li, Hao","Bezemer, Cor-Paul","Hassan, Ahmed E."],"url":"https://arxiv.org/abs/2410.09012","arxiv_id":"2410.09012","published":"2025-12-15"},{"title":"Large Continual Instruction Assistant","abstract":"Continual Instruction Tuning (CIT) is adopted to continually instruct Large Models to follow human intent data by data. It is observed that existing gradient update would heavily destroy the performance on previous datasets during CIT process. Instead, Exponential Moving Average (EMA), owns the ability to trace previous parameters, which can aid in decreasing forgetting. Nonetheless, its stable balance weight fails t","authors":["Qiao, Jingyang","Zhang, Zhizhong","Tan, Xin","Qu, Yanyun","Ding, Shouhong","Xie, Yuan"],"url":"https://arxiv.org/abs/2410.10868","arxiv_id":"2410.10868","published":"2025-12-15"},{"title":"WARPD: World model Assisted Reactive Policy Diffusion","abstract":"With the increasing availability of open-source robotic data, imitation learning has become a promising approach for both manipulation and locomotion. Diffusion models are now widely used to train large, generalized policies that predict controls or trajectories, leveraging their ability to model multimodal action distributions. However, this generality comes at the cost of larger model sizes and slower inference, an","authors":["Hegde, Shashank","Das, Satyajeet","Salhotra, Gautam","Sukhatme, Gaurav S."],"url":"https://arxiv.org/abs/2410.14040","arxiv_id":"2410.14040","published":"2025-12-15"},{"title":"Denoising Diffusion Models for Anomaly Localization in Medical Images","abstract":"This review explores anomaly localization in medical images using denoising diffusion models. After providing a brief methodological background of these models, including their application to image reconstruction and their conditioning using guidance mechanisms, we provide an overview of available datasets and evaluation metrics suitable for their application to anomaly localization in medical images. In this context","authors":["Bercea, Cosmin I.","Cattin, Philippe C.","Schnabel, Julia A.","Wolleb, Julia"],"url":"https://arxiv.org/abs/2410.23834","arxiv_id":"2410.23834","published":"2025-12-15"}],"history":{"events":[{"year":2019,"text":"Citizenship Amendment Act protests: 10 to 15 local women blockaded a major road in Delhi, India, to protest the exclusion of Muslims from the amended Citizenship Act.","url":"https://en.wikipedia.org/wiki/Citizenship_Amendment_Act_protests"},{"year":2013,"text":"The South Sudanese Civil War began when three opposition leaders voted to boycott the meeting of the National Liberation Council in Juba.","url":"https://en.wikipedia.org/wiki/South_Sudanese_Civil_War"},{"year":1981,"text":"The Iraqi Shia Islamist group al-Dawa carried out one of the first modern suicide bombings, targeting the Iraqi embassy in Beirut, Lebanon, resulting in 61 deaths and at least 100 injuries.","url":"https://en.wikipedia.org/wiki/Shia_Islam"},{"year":1970,"text":"The Soviet spacecraft Venera 7 touched down on the surface of Venus, making the first successful landing of a spacecraft on another planet.","url":"https://en.wikipedia.org/wiki/Venera_7"},{"year":1961,"text":"Former Nazi leader Adolf Eichmann was sentenced to death after being found guilty on fifteen criminal charges, including war crimes and crimes against humanity.","url":"https://en.wikipedia.org/wiki/Adolf_Eichmann"},{"year":1946,"text":"U.S.-backed Iranian troops brought an end to the Iran crisis when they marched on the breakaway Republic of Mahabad and recaptured the territory.","url":"https://en.wikipedia.org/wiki/Iran_crisis_of_1946"},{"year":1945,"text":"The US-led occupying forces ordered the government of Japan to cease state support for Shinto.","url":"https://en.wikipedia.org/wiki/Supreme_Commander_for_the_Allied_Powers"},{"year":1943,"text":"World War II: Australian and American forces (pictured) began the Battle of Arawe against Japanese forces on New Britain as a diversion before a larger landing at Cape Gloucester.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1939,"text":"The American historical epic film Gone With the Wind, adapted from Margaret Mitchell's Pulitzer Prize–winning novel of the same name, premiered in Atlanta, Georgia.","url":"https://en.wikipedia.org/wiki/Epic_film"},{"year":1906,"text":"The Great Northern, Piccadilly and Brompton Railway, a 14.17-kilometre (8.80 mi) long deep-level underground tube railway connecting Hammersmith and Finsbury Park, London, opened.","url":"https://en.wikipedia.org/wiki/Great_Northern%2C_Piccadilly_and_Brompton_Railway"},{"year":1890,"text":"Sitting Bull, a Hunkpapa Lakota leader, was killed on Standing Rock Sioux Reservation in South Dakota by U.S. Indian agency police.","url":"https://en.wikipedia.org/wiki/Sitting_Bull"},{"year":1871,"text":"Sixteen-year-old Ella Stewart sent the first telegraphed message from Arizona Territory.","url":"https://en.wikipedia.org/wiki/Ella_Stewart_Udall"},{"year":1864,"text":"American Civil War: Union troops defeated the Army of Tennessee, one of the largest Confederate forces, at the Battle of Nashville.","url":"https://en.wikipedia.org/wiki/American_Civil_War"},{"year":1796,"text":"War of the First Coalition: The French navy launched an expedition to Ireland to assist the Society of United Irishmen in a rebellion against the British.","url":"https://en.wikipedia.org/wiki/War_of_the_First_Coalition"},{"year":1791,"text":"The first ten amendments to the United States Constitution, collectively known as the Bill of Rights, were ratified.","url":"https://en.wikipedia.org/wiki/List_of_amendments_to_the_Constitution_of_the_United_States"},{"year":1778,"text":"American Revolutionary War: At the Battle of St. Lucia, the Royal Navy prevented French Navy ships from reaching their garrison on Saint Lucia in the West Indies.","url":"https://en.wikipedia.org/wiki/American_Revolutionary_War"},{"year":1025,"text":"Constantine VIII (depicted) became the sole Byzantine emperor, 63 years after being crowned co-emperor.","url":"https://en.wikipedia.org/wiki/Constantine_VIII"},{"year":687,"text":"Sergius was elected pope, ending the last disputed period of sede vacante during the Byzantine Papacy.","url":"https://en.wikipedia.org/wiki/Pope_Sergius_I"}],"births":[{"year":2000,"text":"Kayvon Thibodeaux, American football player","url":"https://en.wikipedia.org/wiki/Kayvon_Thibodeaux"},{"year":1998,"text":"Chandler Canterbury, American actor","url":"https://en.wikipedia.org/wiki/Chandler_Canterbury"},{"year":1997,"text":"Maude Apatow, American actress","url":"https://en.wikipedia.org/wiki/Maude_Apatow"},{"year":1997,"text":"Zach Banks, American race car driver","url":"https://en.wikipedia.org/wiki/Zach_Banks-Calder%C3%ADn"},{"year":1997,"text":"Magdalena Fręch, Polish tennis player","url":"https://en.wikipedia.org/wiki/Magdalena_Fr%C4%99ch"},{"year":1997,"text":"Stefania LaVie Owen, New Zealand-American actress","url":"https://en.wikipedia.org/wiki/Stefania_LaVie_Owen"},{"year":1996,"text":"Jenifer Brening, German singer","url":"https://en.wikipedia.org/wiki/Jenifer_Brening"},{"year":1996,"text":"Oleksandr Zinchenko, Ukrainian footballer","url":"https://en.wikipedia.org/wiki/Oleksandr_Zinchenko_(footballer)"}],"deaths":[{"year":2025,"text":"William J. Bauer, senior United States circuit judge of the United States Court of Appeals for the Seventh Circuit in Chicago and previously a United States district judge of the United States District Court for the Northern District of Illinois, (born 1926)","url":"https://en.wikipedia.org/wiki/William_J._Bauer"},{"year":2024,"text":"Zakir Hussain, Indian tabla player, musical producer, film actor and composer (born 1951)","url":"https://en.wikipedia.org/wiki/Zakir_Hussain_(musician)"},{"year":2020,"text":"Saufatu Sopoanga, Tuvaluan politician, 8th Prime Minister of Tuvalu (born 1952)","url":"https://en.wikipedia.org/wiki/Saufatu_Sopoanga"},{"year":2018,"text":"Eryue He, Chinese historical fiction writer (born 1945)","url":"https://en.wikipedia.org/wiki/Eryue_He"},{"year":2018,"text":"Girma Wolde-Giorgis, President of Ethiopia (born 1924)","url":"https://en.wikipedia.org/wiki/Girma_Wolde-Giorgis"},{"year":2017,"text":"Heinz Wolff, scientist and TV presenter (born 1928)","url":"https://en.wikipedia.org/wiki/Heinz_Wolff"},{"year":2017,"text":"Calestous Juma, academic (born 1953)","url":"https://en.wikipedia.org/wiki/Calestous_Juma"},{"year":2016,"text":"Craig Sager, American sports journalist (born 1951)","url":"https://en.wikipedia.org/wiki/Craig_Sager"}]},"sources":[{"id":"attention","name":"Wikipedia most-read","url":"https://api.wikimedia.org","licence":"CC BY-SA 4.0","attribution":"Wikipedia contributors"},{"id":"frontier","name":"Hacker News","url":"https://news.ycombinator.com","licence":"Public API — titles and links, credited","attribution":"Hacker News / Y Combinator"},{"id":"research","name":"arXiv cs.AI","url":"https://arxiv.org","licence":"Open metadata, per arXiv API terms","attribution":"arXiv.org"},{"id":"history","name":"Wikipedia On this day","url":"https://api.wikimedia.org","licence":"CC BY-SA 4.0","attribution":"Wikipedia contributors"}],"licence":"Records are CC BY-SA 4.0, inheriting from Wikipedia. Every item links to its source."}