{"date":"2026-05-13","schema_version":1,"captured_at":"2026-08-25T23:08:23.789Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Brandon Clarke","views":582581,"rank":3,"extract":"Brandon Clarke was a Canadian–American professional basketball player who served as a power forward for the Memphis Grizzlies of the National Basketball Association (NBA). He played college basketball for the San Jose State Spartans and the Gonzaga Bulldogs. C","url":"https://en.wikipedia.org/wiki/Brandon_Clarke","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/3/38/Brandon_Clarke_in_2020.jpg/330px-Brandon_Clarke_in_2020.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Eurovision Song Contest 2026","views":195847,"rank":5,"extract":"The Eurovision Song Contest 2026 was the 70th edition of the Eurovision Song Contest. 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Emacsification of Software","points":465,"comments":284,"url":"https://sockpuppet.org/blog/2026/05/12/emacsification/","discussion":"https://news.ycombinator.com/item?id=48118727"},{"title":"Kickstarter is forced to ban adult content by payment processors","points":400,"comments":287,"url":"https://kotaku.com/kickstarter-is-the-latest-platform-seemingly-forced-to-ban-adult-content-by-payment-processors-2000695648","discussion":"https://news.ycombinator.com/item?id=48123198"},{"title":"Princeton mandates proctoring for in-person exams, upending 133 year precedent","points":391,"comments":613,"url":"https://www.dailyprincetonian.com/article/2026/05/princeton-news-adpol-proctoring-in-person-examinations-passed-faculty-133-years-precedent","discussion":"https://news.ycombinator.com/item?id=48126848"},{"title":"MacBook Neo Deep Dive: Benchmarks, Wafer Economics, and the 8GB Gamble","points":337,"comments":411,"url":"https://www.jdhodges.com/blog/macbook-neo-benchmarks-analysis/","discussion":"https://news.ycombinator.com/item?id=48125617"},{"title":"Starship V3","points":326,"comments":641,"url":"https://www.spacex.com/updates#starship-v3","discussion":"https://news.ycombinator.com/item?id=48116781"},{"title":"Tell HN: Dont use Claude Design, lost access to my projects after unsubscribing","points":302,"comments":85,"url":"https://news.ycombinator.com/item?id=48128003","discussion":"https://news.ycombinator.com/item?id=48128003"},{"title":"Deterministic Fully-Static Whole-Binary Translation Without Heuristics","points":298,"comments":65,"url":"https://arxiv.org/abs/2605.08419","discussion":"https://news.ycombinator.com/item?id=48117810"},{"title":"Open Source Resistance: keep OSS alive on company time","points":275,"comments":85,"url":"https://ossresistance.com/","discussion":"https://news.ycombinator.com/item?id=48123015"},{"title":"Show HN: Number Gacha, a gacha game distilled to its essence","points":268,"comments":143,"url":"https://isabisabel.com/gacha/","discussion":"https://news.ycombinator.com/item?id=48123359"},{"title":"Dutch suicide prevention website shares data with tech companies without consent","points":255,"comments":186,"url":"https://nltimes.nl/2026/05/13/dutch-suicide-prevention-hotline-shares-visitor-data-tech-companies","discussion":"https://news.ycombinator.com/item?id=48121299"},{"title":"The US is winning the AI race where it matters most: commercialization","points":241,"comments":677,"url":"https://avkcode.github.io/blog/us-winning-ai-race.html","discussion":"https://news.ycombinator.com/item?id=48121929"},{"title":"SecurityBaseline.eu","points":229,"comments":106,"url":"https://internetcleanup.foundation/2026/05/european-governments-3000-tracking-sites-1000-phpmyadmins-and-99pct-poorly-encrypted-email-introducing-securitybaseline-eu/","discussion":"https://news.ycombinator.com/item?id=48118763"},{"title":"\"Not Medically Necessary\": Helping America's Health Insurers Deny Coverage","points":217,"comments":210,"url":"https://www.propublica.org/article/evicore-health-insurance-denials-cigna-unitedhealthcare-aetna-prior-authorizations","discussion":"https://news.ycombinator.com/item?id=48126000"},{"title":"Windows 9x Subsystem for Linux","points":217,"comments":114,"url":"https://codeberg.org/hails/wsl9x","discussion":"https://news.ycombinator.com/item?id=48120162"},{"title":"My graduation cap runs Rust","points":214,"comments":93,"url":"https://ericswpark.com/blog/2026/2026-05-12-my-graduation-cap-runs-rust/","discussion":"https://news.ycombinator.com/item?id=48116207"},{"title":"Meta won't let you block its AI account on Threads","points":195,"comments":84,"url":"https://www.theverge.com/tech/929091/meta-ai-threads-account-block","discussion":"https://news.ycombinator.com/item?id=48126981"},{"title":"Haiku","points":175,"comments":89,"url":"https://www.haiku-os.org","discussion":"https://news.ycombinator.com/item?id=48124002"},{"title":"50K Tahoe residents need power as utility eyes redirecting lines to data centers","points":153,"comments":149,"url":"https://fortune.com/2026/05/12/lake-tahoe-data-center-49000-residents-power-source/","discussion":"https://news.ycombinator.com/item?id=48123090"},{"title":"Making the news available at no cost is a victory","points":143,"comments":136,"url":"https://www.sltrib.com/opinion/commentary/2026/05/12/just-days-tribune-reporting/","discussion":"https://news.ycombinator.com/item?id=48126156"},{"title":"S-100 Virtual Workbench","points":135,"comments":29,"url":"https://grantmestrength.github.io/S100/","discussion":"https://news.ycombinator.com/item?id=48123546"},{"title":"3D Gaussian Splatting in a Weekend","points":135,"comments":12,"url":"https://bfeldman.me/3dgs-weekend/","discussion":"https://news.ycombinator.com/item?id=48126431"},{"title":"A desire for a loud car correlates with higher scores on psychopathy and sadism","points":123,"comments":79,"url":"https://cipp.ug.edu.pl/A-desire-for-a-loud-car-with-a-modified-muffler-is-predicted-by-being-a-man-and-higher,162006,0,2.html","discussion":"https://news.ycombinator.com/item?id=48127889"}],"research":[{"title":"Enriching and Controlling Global Semantics for Text Summarization","abstract":"Recently, Transformer-based models have been proven effective in the abstractive summarization task by creating fluent and informative summaries. Nevertheless, these models still suffer from the short-range dependency problem, causing them to produce summaries that miss the key points of document. In this paper, we attempt to address this issue by introducing a neural topic model empowered with normalizing flow to ca","authors":["Nguyen, Thong","Luu, Anh Tuan","Lu, Truc","Quan, Tho"],"url":"https://arxiv.org/abs/2109.10616","arxiv_id":"2109.10616","published":"2026-05-13"},{"title":"Stochastic tensor space feature theory with applications to robust machine learning","abstract":"In this paper we develop a Multilevel Orthogonal Subspace (MOS) Karhunen-Loeve feature theory based on stochastic tensor spaces, for the construction of robust machine learning features. Training data are treated as instances of a random field within a relevant Bochner space. Our key observation is that separate machine learning classes can reside predominantly in mostly distinct subspaces. Using the Karhunen-Loeve e","authors":["Castrillon-Candas, Julio Enrique","Shi, Kaili","Liu, Dingning","Yang, Sicheng","Zhang, Xiaoling","Kon, Mark"],"url":"https://arxiv.org/abs/2110.01729","arxiv_id":"2110.01729","published":"2026-05-13"},{"title":"Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions","abstract":"Modern Review Helpfulness Prediction systems are dependent upon multiple modalities, typically texts and images. Unfortunately, those contemporary approaches pay scarce attention to polish representations of cross-modal relations and tend to suffer from inferior optimization. This might cause harm to model's predictions in numerous cases. To overcome the aforementioned issues, we propose Multimodal Contrastive Le","authors":["Nguyen, Thong","Wu, Xiaobao","Luu, Anh-Tuan","Nguyen, Cong-Duy","Hai, Zhen","Bing, Lidong"],"url":"https://arxiv.org/abs/2211.03524","arxiv_id":"2211.03524","published":"2026-05-13"},{"title":"PointCaM: Cut-and-Mix for Open-Set Point Cloud Learning","abstract":"Point cloud learning is receiving increasing attention. However, most existing point cloud models lack the practical ability to deal with the unavoidable presence of unknown objects. This paper primarily discusses point cloud learning in open-set settings, where we train the model without data from unknown classes and identify them during the inference stage. In essence, we propose a novel Point Cut-and-Mix mechanism","authors":["Hong, Jie","Qiu, Shi","Li, Weihao","Anwar, Saeed","Harandi, Mehrtash","Barnes, Nick"],"url":"https://arxiv.org/abs/2212.02011","arxiv_id":"2212.02011","published":"2026-05-13"},{"title":"Natural Language Processing in the Legal Domain","abstract":"We summarize the current state of the field of NLP & Law with a specific focus on recent technical and substantive developments. To support our analysis, we construct and analyze a nearly complete corpus of nearly one thousand NLP & Law related papers published between 2013-2024. Our analysis highlights several major trends. Namely, we document an increasing number of papers written, tasks undertaken, and lan","authors":["Hartung, Dirk","Katz, Daniel Martin","Bommarito, Michael J.","Gerlach, Lauritz","Jana, Abhik","Soh, Jerrold"],"url":"https://arxiv.org/abs/2302.12039","arxiv_id":"2302.12039","published":"2026-05-13"},{"title":"The power and limitations of learning quantum dynamics incoherently","abstract":"Quantum process learning is emerging as an important tool to study quantum systems. While studied extensively in coherent frameworks, where the target and model system can share quantum information, less attention has been paid to whether the dynamics of quantum systems can be learned without the system and target directly interacting. Such incoherent frameworks are practically appealing since they open up methods of","authors":["Jerbi, Sofiene","Gibbs, Joe","Rudolph, Manuel S.","Caro, Matthias C.","Coles, Patrick J.","Huang, Hsin-Yuan"],"url":"https://arxiv.org/abs/2303.12834","arxiv_id":"2303.12834","published":"2026-05-13"},{"title":"DiFaReli++: Diffusion Face Relighting with Consistent Cast Shadows","abstract":"We introduce a novel approach to single-view face relighting in the wild, addressing challenges such as global illumination and cast shadows. A common scheme in recent methods involves intrinsically decomposing an input image into 3D shape, albedo, and lighting, then recomposing it with the target lighting. However, estimating these components is error-prone and requires many training examples with ground-truth light","authors":["Ponglertnapakorn, Puntawat","Tritrong, Nontawat","Suwajanakorn, Supasorn"],"url":"https://arxiv.org/abs/2304.09479","arxiv_id":"2304.09479","published":"2026-05-13"},{"title":"Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction","abstract":"Multimodal Review Helpfulness Prediction (MRHP) aims to rank product reviews based on predicted helpfulness scores and has been widely applied in e-commerce via presenting customers with useful reviews. Previous studies commonly employ fully-connected neural networks (FCNNs) as the final score predictor and pairwise loss as the training objective. However, FCNNs have been shown to perform inefficient splitting for re","authors":["Nguyen, Thong","Wu, Xiaobao","Dong, Xinshuai","Luu, Anh Tuan","Nguyen, Cong-Duy","Hai, Zhen"],"url":"https://arxiv.org/abs/2305.12678","arxiv_id":"2305.12678","published":"2026-05-13"},{"title":"netFound: Principled Design for Network Foundation Models","abstract":"Network foundation models promise reusable representations for diverse traffic analysis tasks, but recent diagnostic works have revealed fundamental problems: models exploit dataset shortcuts rather than learning genuine traffic patterns, produce collapsed embedding spaces, and fail to capture the exogenous network conditions that shape real-world behavior. We translate these diagnostic insights into four concrete de","authors":["Beltiukov, Sylee","Guthula, Satyandra","Manda, Haarika","Daneshamooz, Jaber","Guo, Wenbo","Willinger, Walter"],"url":"https://arxiv.org/abs/2310.17025","arxiv_id":"2310.17025","published":"2026-05-13"},{"title":"DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding","abstract":"Temporal Language Grounding seeks to localize video moments that semantically correspond to a natural language query. Recent advances employ the attention mechanism to learn the relations between video moments and the text query. However, naive attention might not be able to appropriately capture such relations, resulting in ineffective distributions where target video moments are difficult to separate from the remai","authors":["Nguyen, Thong","Wu, Xiaobao","Dong, Xinshuai","Nguyen, Cong-Duy","Ng, See-Kiong","Tuan, Luu Anh"],"url":"https://arxiv.org/abs/2312.02549","arxiv_id":"2312.02549","published":"2026-05-13"},{"title":"READ: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling","abstract":"Fully fine-tuning pretrained large-scale transformer models has become a popular paradigm for video-language modeling tasks, such as temporal language grounding and video-language summarization. With a growing number of tasks and limited training data, such full fine-tuning approach leads to costly model storage and unstable training. To overcome these shortcomings, we introduce lightweight adapters to the pre-traine","authors":["Nguyen, Thong","Wu, Xiaobao","Dong, Xinshuai","Le, Khoi","Hu, Zhiyuan","Nguyen, Cong-Duy"],"url":"https://arxiv.org/abs/2312.06950","arxiv_id":"2312.06950","published":"2026-05-13"},{"title":"Developing a Multi-variate Prediction Model For COVID-19 From Crowd-sourced Respiratory Voice Data","abstract":"COVID-19 has affected more than 223 countries worldwide and in the Post-COVID Era, there is a pressing need for non-invasive, low-cost, and highly scalable solutions to detect COVID-19. We develop a deep learning model to identify COVID-19 from voice recording data. The novelty of this work is in the development of deep learning models for COVID-19 identification from only voice recordings. We use the Cambridge COVID","authors":["Yan, Yuyang","Aljbawi, Wafaa","Simons, Sami O.","Urovi, Visara"],"url":"https://arxiv.org/abs/2402.07619","arxiv_id":"2402.07619","published":"2026-05-13"},{"title":"Interactive Mars Image Content-Based Search with Interpretable Machine Learning","abstract":"The NASA Planetary Data System (PDS) hosts millions of images of planets, moons, and other bodies collected throughout many missions. The ever-expanding nature of data and user engagement demands an interpretable content classification system to support scientific discovery and individual curiosity. In this paper, we leverage a prototype-based architecture to enable users to understand and validate the evidence used ","authors":["Vasu, Bhavan","Lu, Steven","Dunkel, Emily","Wagstaff, Kiri L.","Grimes, Kevin","McAuley, Michael"],"url":"https://arxiv.org/abs/2402.16860","arxiv_id":"2402.16860","published":"2026-05-13"},{"title":"Pruning Federated Models through Loss Landscape Analysis and Client Agreement Scoring","abstract":"The practical deployment of Federated Learning (FL) on resource-constrained devices is fundamentally limited by the high cost of training large models and the instability caused by heterogeneous (non-IID) client data. Conventional pruning methods often treat data heterogeneity as a problem to be mitigated. In this work, we introduce a paradigm shift: we reframe client diversity as a feature to be harnessed. We propos","authors":["Internò, Christian","Raponi, Elena","Olhofer, Markus","Raza, Ali","Bäck, Thomas","van Stein, Niki"],"url":"https://arxiv.org/abs/2405.10271","arxiv_id":"2405.10271","published":"2026-05-13"},{"title":"Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives","abstract":"Humans use multiple senses to comprehend the environment. Vision and language are two of the most vital senses since they allow us to easily communicate our thoughts and perceive the world around us. There has been a lot of interest in creating video-language understanding systems with human-like senses since a video-language pair can mimic both our linguistic medium and visual environment with temporal dynamics. In ","authors":["Nguyen, Thong","Bin, Yi","Xiao, Junbin","Qu, Leigang","Li, Yicong","Wu, Jay Zhangjie"],"url":"https://arxiv.org/abs/2406.05615","arxiv_id":"2406.05615","published":"2026-05-13"},{"title":"Sparsity-Constraint Optimization via Splicing Iteration","abstract":"Sparsity-constrained optimization underlies many problems in signal processing, statistics, and machine learning. State-of-the-art hard-thresholding (HT) algorithms rely on an appropriately selected continuous step-size parameter to ensure convergence. In this paper, we propose a naturally convergent iterative algorithm, SCOPE (Sparsity-Constrained Optimization via sPlicing itEration). The algorithm is capable of opt","authors":["Zhu, Jin","Zhu, Junxian","Wang, Zezhi","Tang, Borui","Lin, Hongmei","Wang, Xueqin"],"url":"https://arxiv.org/abs/2406.12017","arxiv_id":"2406.12017","published":"2026-05-13"},{"title":"Towards Shutdownable Agents via Stochastic Choice","abstract":"The POST-Agents Proposal (PAP) is an idea for ensuring that advanced artificial agents never resist shutdown. A key part of the PAP is using a novel `Discounted Reward for Same-Length Trajectories (DReST)' reward function to train agents to (1) pursue goals effectively conditional on each trajectory-length (be `USEFUL'), and (2) choose stochastically between different trajectory-lengths (be `NEUTRAL' abou","authors":["Thornley, Elliott","Roman, Alexander","Ziakas, Christos","Ho, Leyton","Thomson, Louis"],"url":"https://arxiv.org/abs/2407.00805","arxiv_id":"2407.00805","published":"2026-05-13"},{"title":"Integrating the Expected Future in Load Forecasts with Contextually Enhanced Transformer Models","abstract":"Accurate and reliable energy forecasting is essential for power grid operators who strive to minimize extreme forecasting errors that pose significant operational challenges and incur high intra-day trading costs. Incorporating planning information -- such as anticipated user behavior, scheduled events or timetables -- provides substantial contextual information to enhance forecast accuracy and reduce the occurrence ","authors":["Theiler, Raffael","Von Krannichfeldt, Leandro","Sansavini, Giovanni","Howland, Michael F.","Fink, Olga"],"url":"https://arxiv.org/abs/2409.05884","arxiv_id":"2409.05884","published":"2026-05-13"},{"title":"Dirichlet process mixtures of block $g$ priors for model selection and prediction in linear models","abstract":"This paper introduces Dirichlet process mixtures of block $g$ priors for model selection and prediction in linear models. These priors are extensions of traditional mixtures of $g$ priors that allow for differential shrinkage for various (data-selected) blocks of parameters while fully accounting for the predictors' correlation structure, providing a bridge between the literatures on model selection and continuou","authors":["Porwal, Anupreet","Rodriguez, Abel"],"url":"https://arxiv.org/abs/2411.00471","arxiv_id":"2411.00471","published":"2026-05-13"},{"title":"A Resource Efficient Fusion Network for Object Detection in Bird's-Eye View using Camera and Raw Radar Data","abstract":"Cameras can be used to perceive the environment around the vehicle, while affordable radar sensors are popular in autonomous driving systems as they can withstand adverse weather conditions unlike cameras. However, radar point clouds are sparser with low azimuth and elevation resolution that lack semantic and structural information of the scenes, resulting in generally lower radar detection performance. In this work,","authors":["Chandrasekaran, Kavin","Grigorescu, Sorin","Dubbelman, Gijs","Jancura, Pavol"],"url":"https://arxiv.org/abs/2411.13311","arxiv_id":"2411.13311","published":"2026-05-13"},{"title":"Red-Teaming Text-to-Image Models via In-Context Experience Replay and Semantic-Preserving Prompt Rewriting","abstract":"Understanding the capabilities of text-to-image (T2I) models in harmful content generation is essential to safety and compliance. However, human red-teaming is costly and inconsistent, driving the need for automatic tools that simulate realistic misuse attempts. Existing methods either require white-box access, fail to generalize across defenses, or produce uninterpretable adversarial tokens, while generating fluent ","authors":["Chin, Zhi-Yi","Chen, Pin-Yu","Chiu, Wei-Chen","Fritz, Mario"],"url":"https://arxiv.org/abs/2411.16769","arxiv_id":"2411.16769","published":"2026-05-13"},{"title":"How far can bias go? Tracing bias from pretraining data to alignment","abstract":"As LLMs are increasingly integrated into user-facing applications, addressing biases that perpetuate societal inequalities is crucial. While much work has gone into measuring or mitigating biases in these models, fewer studies have investigated their origins. Therefore, this study examines the correlation between gender-occupation bias in pre-training data and their manifestation in LLMs, focusing on the Dolma datase","authors":["Thaler, Marion","Köksal, Abdullatif","Leidinger, Alina","Korhonen, Anna","Schütze, Hinrich"],"url":"https://arxiv.org/abs/2411.19240","arxiv_id":"2411.19240","published":"2026-05-13"},{"title":"BEExformer: A Fast Inferencing Binarized Transformer with Early Exits","abstract":"Large Language Models (LLMs) based on transformers achieve cutting-edge results on a variety of applications. However, their enormous size and processing requirements hinder deployment on constrained resources. To enhance efficiency, binarization and Early Exit (EE) have proved to be effective solutions. However, binarization may lead to performance loss as reduced precision affects gradient estimation and parameter ","authors":["Ansar, Wazib","Goswami, Saptarsi","Chakrabarti, Amlan"],"url":"https://arxiv.org/abs/2412.05225","arxiv_id":"2412.05225","published":"2026-05-13"},{"title":"Bayesian Surrogate Training on Multiple Data Sources: A Hybrid Modeling Strategy","abstract":"Surrogate models are often used as computationally efficient approximations to complex simulation models, enabling tasks such as solving inverse problems, sensitivity analysis, and probabilistic forward predictions, which would otherwise be computationally infeasible. During training, surrogate parameters are fitted such that the surrogate reproduces the simulation model's outputs as closely as possible. However,","authors":["Reiser, Philipp","Bürkner, Paul-Christian","Guthke, Anneli"],"url":"https://arxiv.org/abs/2412.11875","arxiv_id":"2412.11875","published":"2026-05-13"},{"title":"Modality-Inconsistent Continual Learning of Multimodal Large Language Models","abstract":"In this paper, we introduce Modality-Inconsistent Continual Learning (MICL), a new continual learning scenario for Multimodal Large Language Models (MLLMs) that involves tasks with inconsistent modalities (image, audio, or video) and varying task types (captioning or question-answering). Unlike existing vision-only or modality-incremental settings, MICL combines modality and task type shifts, both of which drive cata","authors":["Pian, Weiguo","Deng, Shijian","Mo, Shentong","Liu, Mingrui","Guo, Yunhui","Tian, Yapeng"],"url":"https://arxiv.org/abs/2412.13050","arxiv_id":"2412.13050","published":"2026-05-13"}],"history":{"events":[{"year":2017,"text":"Eurovision Song Contest: Portugal won the contest for the first time, with the song \"Amar pelos dois,\" performed by Salvador Sobral (pictured).","url":"https://en.wikipedia.org/wiki/Eurovision_Song_Contest_2017"},{"year":2014,"text":"The worst mining disaster in Turkish history took place when an explosion caused an underground mine fire at a coal mine in Soma, Manisa, leaving 301 people dead.","url":"https://en.wikipedia.org/wiki/Soma_mine_disaster"},{"year":2012,"text":"Mexican authorities discovered 49 dismembered bodies in Cadereyta Jiménez.","url":"https://en.wikipedia.org/wiki/Cadereyta_Jim%C3%A9nez_massacre"},{"year":2011,"text":"Two bomb explosions in Charsadda District, Pakistan, killed 98 people and wounded 140 others.","url":"https://en.wikipedia.org/wiki/2011_Charsadda_bombing"},{"year":2008,"text":"Nine bombs placed by the Indian Mujahideen, then an unknown terrorist group, exploded in a 15-minute period in Jaipur, India, killing 80 people and injuring more than 200 others.","url":"https://en.wikipedia.org/wiki/Indian_Mujahideen"},{"year":2005,"text":"Uzbek Interior Ministry and State Security Service troops fired at protesters in Andijan, killing between 187 and 1,500 people.","url":"https://en.wikipedia.org/wiki/Ministry_of_Internal_Affairs_(Uzbekistan)"},{"year":2000,"text":"An explosion at a fireworks factory in Enschede, Netherlands, resulted in 23 deaths and approximately €450 million in damage.","url":"https://en.wikipedia.org/wiki/Enschede_fireworks_disaster"},{"year":1995,"text":"Alison Hargreaves became the first woman to reach the summit of Mount Everest without the aid of Sherpas or bottled oxygen.","url":"https://en.wikipedia.org/wiki/Alison_Hargreaves"},{"year":1992,"text":"Li Hongzhi introduced the Falun Gong movement at a public lecture in Changchun, China.","url":"https://en.wikipedia.org/wiki/Li_Hongzhi"},{"year":1985,"text":"Eleven people, including five children, were killed after the Philadelphia Police Department dropped bombs from a helicopter during a raid on a house occupied by the Black liberation group MOVE.","url":"https://en.wikipedia.org/wiki/Philadelphia_Police_Department"},{"year":1972,"text":"The Troubles: A car bomb planted by Ulster loyalists exploded outside a crowded pub in Belfast, Northern Ireland, beginning two days of gun battles between the British Army, the Provisional Irish Republican Army, and the Ulster Volunteer Force.","url":"https://en.wikipedia.org/wiki/The_Troubles"},{"year":1969,"text":"Sino-Malay race riots began in Kuala Lumpur, leaving at least 190 people dead, with the government declaring a state of emergency and suspending the Parliament of Malaysia until 1971.","url":"https://en.wikipedia.org/wiki/13_May_incident"},{"year":1967,"text":"Zakir Husain took office as the first elected Muslim President of India.","url":"https://en.wikipedia.org/wiki/Zakir_Husain"},{"year":1958,"text":"US vice president Richard Nixon's motorcade was attacked by a mob in Caracas, Venezuela.","url":"https://en.wikipedia.org/wiki/Richard_Nixon"},{"year":1958,"text":"The Australian adventurer Ben Carlin (pictured) became the only person to circumnavigate the world in an amphibious vehicle, having travelled over 80,000 kilometres (50,000 miles) by land and sea.","url":"https://en.wikipedia.org/wiki/Ben_Carlin"},{"year":1913,"text":"The Russian inventor Igor Sikorsky flew the self-designed Russky Vityaz, the world's first four-engine fixed-wing aircraft.","url":"https://en.wikipedia.org/wiki/Igor_Sikorsky"},{"year":1909,"text":"The inaugural edition of the Giro d'Italia, a long-distance multiple-stage bicycle race, began in Milan; the Italian cyclist Luigi Ganna was the eventual winner.","url":"https://en.wikipedia.org/wiki/1909_Giro_d'Italia"},{"year":1779,"text":"Negotiated by Russian and French mediators, the Treaty of Teschen was signed by Austria and Prussia, leading to the end of the War of the Bavarian Succession.","url":"https://en.wikipedia.org/wiki/Treaty_of_Teschen"}],"births":[{"year":2005,"text":"Romain Esse, English footballer","url":"https://en.wikipedia.org/wiki/Romain_Esse"},{"year":2003,"text":"Jaxson Dart, American football player","url":"https://en.wikipedia.org/wiki/Jaxson_Dart"},{"year":2003,"text":"Javi Guerra, Spanish footballer","url":"https://en.wikipedia.org/wiki/Javi_Guerra_(footballer%2C_born_2003)"},{"year":2003,"text":"Jabari Smith Jr., American basketball player","url":"https://en.wikipedia.org/wiki/Jabari_Smith_Jr."},{"year":2002,"text":"Diego López, Spanish footballer","url":"https://en.wikipedia.org/wiki/Diego_L%C3%B3pez_(footballer%2C_born_May_2002)"},{"year":1999,"text":"Óscar Mingueza, Spanish footballer","url":"https://en.wikipedia.org/wiki/%C3%93scar_Mingueza"},{"year":1999,"text":"Aníbal Moreno, Argentine footballer","url":"https://en.wikipedia.org/wiki/An%C3%ADbal_Moreno"},{"year":1998,"text":"Adrià Pedrosa, Spanish footballer","url":"https://en.wikipedia.org/wiki/Adri%C3%A0_Pedrosa"}],"deaths":[{"year":2025,"text":"Kit Bond, American lawyer and politician, 47th Governor of Missouri (born 1939)","url":"https://en.wikipedia.org/wiki/Kit_Bond"},{"year":2025,"text":"Danny Lendich, New Zealand businessperson (born 1944)","url":"https://en.wikipedia.org/wiki/Danny_Lendich"},{"year":2025,"text":"José Mujica, Uruguayan politician, 40th President of Uruguay (born 1935)","url":"https://en.wikipedia.org/wiki/Jos%C3%A9_Mujica"},{"year":2024,"text":"Alice Munro, Canadian short story writer (born 1931)","url":"https://en.wikipedia.org/wiki/Alice_Munro"},{"year":2024,"text":"Cyril Wecht, American forensic pathologist (born 1931)","url":"https://en.wikipedia.org/wiki/Cyril_Wecht"},{"year":2024,"text":"Samm-Art Williams, American playwright and screenwriter (born 1946)","url":"https://en.wikipedia.org/wiki/Samm-Art_Williams"},{"year":2022,"text":"Khalifa bin Zayed Al Nahyan, 2nd President of the United Arab Emirates (born 1948)","url":"https://en.wikipedia.org/wiki/Khalifa_bin_Zayed_Al_Nahyan"},{"year":2019,"text":"Doris Day, American singer and actress (born 1922)","url":"https://en.wikipedia.org/wiki/Doris_Day"}]},"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."}