{"date":"2026-05-28","schema_version":1,"captured_at":"2026-08-25T23:10:12.969Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":15},"attention":[{"title":"Obsession (2025 film)","views":209098,"rank":5,"extract":"Obsession is a 2025 American supernatural horror film written, directed, and edited by Curry Barker. The film follows Bear, a music store employee who buys a supernatural toy that grants his wish for his friend Nikki to fall in love with him, which makes her b","url":"https://en.wikipedia.org/wiki/Obsession_(2025_film)","thumb":"https://upload.wikimedia.org/wikipedia/en/0/05/Obsession_theatrical_poster.jpeg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Ken Paxton","views":188233,"rank":6,"extract":"Warren Kenneth Paxton Jr. is an American politician and lawyer who has served as the 51st attorney general of Texas since 2015. 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Y/N: A 60-second game about AI agent permission fatigue","points":386,"comments":162,"url":"https://llmgame.scalex.dev","discussion":"https://news.ycombinator.com/item?id=48308376"},{"title":"Various LLM Smells","points":369,"comments":294,"url":"https://shvbsle.in/various-llm-smells/","discussion":"https://news.ycombinator.com/item?id=48313810"},{"title":"Anthropic raises $65B in Series H funding at $965B post-money valuation","points":362,"comments":430,"url":"https://www.anthropic.com/news/series-h","discussion":"https://news.ycombinator.com/item?id=48313048"},{"title":"Building durable workflows on Postgres","points":359,"comments":147,"url":"https://www.dbos.dev/blog/postgres-is-all-you-need-for-durable-execution","discussion":"https://news.ycombinator.com/item?id=48313530"},{"title":"EU fines Temu €200M for allowing sale of illegal products","points":352,"comments":402,"url":"https://www.bbc.co.uk/news/articles/c1k2ydn1rz8o","discussion":"https://news.ycombinator.com/item?id=48309302"},{"title":"AMD pulls a bait-and-switch on Linux users with Vivado licensing changes","points":337,"comments":167,"url":"https://itsfoss.com/news/amd-vivado-bait-and-switch-on-linux-users/","discussion":"https://news.ycombinator.com/item?id=48307231"},{"title":"Google employee charged with $1M Polymarket insider trading bet on search term","points":324,"comments":212,"url":"https://www.cnbc.com/2026/05/27/google-employee-polymarket-insider-trading.html","discussion":"https://news.ycombinator.com/item?id=48302822"},{"title":"Nitpicking the shell history scene in 'Tron: Legacy'","points":305,"comments":125,"url":"https://www.chiark.greenend.org.uk/~sgtatham/quasiblog/tron-legacy/","discussion":"https://news.ycombinator.com/item?id=48314002"},{"title":"New York passes pied-a-terre tax","points":278,"comments":441,"url":"https://www.cnbc.com/2026/05/28/new-york-mamdani-pied-a-terre-tax-passes.html","discussion":"https://news.ycombinator.com/item?id=48309584"},{"title":"SF startup is testing robots in Airbnbs, and trashing them, lawsuit claims","points":272,"comments":150,"url":"https://sfstandard.com/2026/05/28/sf-startup-secretly-testing-robots-airbnbs-trashing-lawsuit-claims/","discussion":"https://news.ycombinator.com/item?id=48317093"},{"title":"Websites have a new way to spy on visitors: analyzing their SSD activity","points":257,"comments":94,"url":"https://arstechnica.com/security/2026/05/websites-have-a-new-way-to-spy-on-visitors-analyzing-their-ssd-activity/","discussion":"https://news.ycombinator.com/item?id=48309492"},{"title":"I hated writing until I learned there’s a science to it (2024)","points":249,"comments":114,"url":"https://www.science.org/content/article/i-hated-writing-until-i-learned-there-s-science-it","discussion":"https://news.ycombinator.com/item?id=48312528"},{"title":"Racket v9.2","points":240,"comments":35,"url":"https://blog.racket-lang.org/2026/05/racket-v9-2.html","discussion":"https://news.ycombinator.com/item?id=48306713"},{"title":"I made my phone slow on purpose","points":238,"comments":206,"url":"https://vinewallapp.com/notes/i-made-my-phone-slow-on-purpose/","discussion":"https://news.ycombinator.com/item?id=48312443"},{"title":"Sam Altman and Dario Amodei are both walking back AI jobs apocalypse predictions","points":236,"comments":178,"url":"https://fortune.com/2026/05/26/sam-altman-dario-amodei-walking-back-ai-jobs-apocalypse-prophecies-ipo/","discussion":"https://news.ycombinator.com/item?id=48314363"},{"title":"Only 17% of all 64-bit Integers are products of two 32-bit integers","points":226,"comments":103,"url":"https://lemire.me/blog/2026/05/22/only-17-of-all-64-bit-integers-are-products-of-two-32-bit-integers/","discussion":"https://news.ycombinator.com/item?id=48311003"},{"title":"The Permanent Upper Crow","points":217,"comments":83,"url":"https://permanent-upper-crow.jasonwu.ink/","discussion":"https://news.ycombinator.com/item?id=48310280"}],"research":[{"title":"ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System","abstract":"Deep neural networks (DNNs)-powered Electrocardiogram (ECG) diagnosis systems recently achieve promising progress to take over tedious examinations by cardiologists. However, their vulnerability to adversarial attacks still lack comprehensive investigation. The existing attacks in image domain could not be directly applicable due to the distinct properties of ECGs in visualization and dynamic properties. Thus, this p","authors":["Chen, Huangxun","Huang, Chenyu","Huang, Qianyi","Zhang, Qian","Wang, Wei"],"url":"https://arxiv.org/abs/1901.03808","arxiv_id":"1901.03808","published":"2026-05-28"},{"title":"On Mixup Regularization","abstract":"Mixup is a data augmentation technique that creates new examples as convex combinations of training points and labels. This simple technique has empirically shown to improve the accuracy of many state-of-the-art models in different settings and applications, but the reasons behind this empirical success remain poorly understood. In this paper we take a substantial step in explaining the theoretical foundations of Mix","authors":["Carratino, Luigi","Cissé, Moustapha","Jenatton, Rodolphe","Vert, Jean-Philippe"],"url":"https://arxiv.org/abs/2006.06049","arxiv_id":"2006.06049","published":"2026-05-28"},{"title":"Gaussian RBF Centered Kernel Alignment (CKA) in the Large Bandwidth Limit","abstract":"We prove that Centered Kernel Alignment (CKA) based on a Gaussian RBF kernel converges to linear CKA in the large-bandwidth limit. We show that convergence onset is sensitive to the geometry of the feature representations, and that representation eccentricity bounds the range of bandwidths for which Gaussian CKA behaves nonlinearly.","authors":["Alvarez, Sergio A."],"url":"https://arxiv.org/abs/2112.09305","arxiv_id":"2112.09305","published":"2026-05-28"},{"title":"Surrogate modeling for Bayesian optimization beyond a single Gaussian process","abstract":"Bayesian optimization (BO) has well-documented merits for optimizing black-box functions with an expensive evaluation cost. Such functions emerge in applications as diverse as hyperparameter tuning, drug discovery, and robotics. BO hinges on a Bayesian surrogate model to sequentially select query points so as to balance exploration with exploitation of the search space. Most existing works rely on a single Gaussian p","authors":["Lu, Qin","Polyzos, Konstantinos D.","Li, Bingcong","Giannakis, Georgios B."],"url":"https://arxiv.org/abs/2205.14090","arxiv_id":"2205.14090","published":"2026-05-28"},{"title":"Causal Machine Learning: A Survey and Open Problems","abstract":"Causal Machine Learning (CausalML) is an umbrella term for machine learning methods that formalize the data-generation process as a structural causal model (SCM). This perspective enables us to reason about the effects of changes to this process (interventions) and what would have happened in hindsight (counterfactuals). We categorize work in CausalML into five groups according to the problems they address: (1) causa","authors":["Kaddour, Jean","Lynch, Aengus","Liu, Qi","Kusner, Matt J.","Silva, Ricardo"],"url":"https://arxiv.org/abs/2206.15475","arxiv_id":"2206.15475","published":"2026-05-28"},{"title":"Leveraging Memory Effects and Gradient Information in Consensus-Based Optimization: On Global Convergence in Mean-Field Law","abstract":"In this paper we study consensus-based optimization (CBO), a versatile, flexible and customizable optimization method suitable for performing nonconvex and nonsmooth global optimizations in high dimensions. CBO is a multi-particle metaheuristic, which is effective in various applications and at the same time amenable to theoretical analysis thanks to its minimalistic design. The underlying dynamics, however, is flexi","authors":["Riedl, Konstantin"],"url":"https://arxiv.org/abs/2211.12184","arxiv_id":"2211.12184","published":"2026-05-28"},{"title":"Structure of Classifier Boundaries: Case Study for a Naive Bayes Classifier","abstract":"For a Bayes classifier whose input space is a graph, we study the structure of the boundary, which comprises those points for which at least one neighbor is classified differently. The scientific setting is assignment of DNA reads produced by next generations sequencers to candidate source genomes. We show that the boundary is both large and complicated in structure. A new measure of uncertainty, Neighbor Similarity,","authors":["Karr, Alan F.","Bowen, Zac","Porter, Adam A.","Ruane, Regina"],"url":"https://arxiv.org/abs/2212.04382","arxiv_id":"2212.04382","published":"2026-05-28"},{"title":"Measuring Massive Multitask Chinese Understanding","abstract":"The development of large-scale Chinese language models is flourishing, yet there is a lack of corresponding capability assessments. Therefore, we propose a test to measure the multitask accuracy of large Chinese language models. This test encompasses four major domains, including medicine, law, psychology, and education, with 15 subtasks in medicine and 8 subtasks in education. We found that the best-performing model","authors":["Zeng, Hui"],"url":"https://arxiv.org/abs/2304.12986","arxiv_id":"2304.12986","published":"2026-05-28"},{"title":"Planning a Community Approach to Diabetes Care in Low- and Middle-Income Countries Using Optimization","abstract":"Diabetes is a global health priority, especially in low- and-middle-income countries, where over 50% of premature deaths are attributed to high blood glucose. Community Health Worker (CHW) programs can provide affordable and culturally tailored solutions for early detection and management of diabetes. We introduce an optimization framework to determine personalized CHW visits that maximize glycemic control at a commu","authors":["Adams, Katherine B.","Boutilier, Justin J.","Deo, Sarang","Mintz, Yonatan"],"url":"https://arxiv.org/abs/2305.06426","arxiv_id":"2305.06426","published":"2026-05-28"},{"title":"DSSE: a drone swarm search environment","abstract":"The Drone Swarm Search project is an environment, based on \\textsc{PettingZoo}, that is to be used in conjunction with multi-agent (or single-agent) reinforcement learning algorithms. It is an environment in which the agents (drones), have to find the targets (shipwrecked people). The agents do not know the position of the target and do not receive rewards related to their own distance to the target(s). However, the ","authors":["Castanares, Manuel","Carrete, Luis F. S.","Damiani, Enrico F.","de Abreu, Leonardo D. M.","Brancalion, José Fernando B.","Barth, Fabrício J."],"url":"https://arxiv.org/abs/2307.06240","arxiv_id":"2307.06240","published":"2026-05-28"},{"title":"Evaluating the Generation Capabilities of Large Chinese Language Models","abstract":"This paper unveils CG-Eval, the first-ever comprehensive and automated evaluation framework designed for assessing the generative capabilities of large Chinese language models across a spectrum of academic disciplines. CG-Eval stands out for its automated process, which critically assesses models based on their proficiency in generating precise and contextually relevant responses to a diverse array of questions withi","authors":["Zeng, Hui","Xue, Jingyuan","Hao, Meng","Sun, Chen","Ning, Bin","Zhang, Na"],"url":"https://arxiv.org/abs/2308.04823","arxiv_id":"2308.04823","published":"2026-05-28"},{"title":"MOLE: MOdular Learning FramEwork via Mutual Information Maximization","abstract":"This paper is to introduce an asynchronous and local learning framework for neural networks, named Modular Learning Framework (MOLE). This framework modularizes neural networks by layers, defines the training objective via mutual information for each module, and sequentially trains each module by mutual information maximization. MOLE makes the training become local optimization with gradient-isolated across modules, ","authors":["Li, Tianchao","Pei, Yulong"],"url":"https://arxiv.org/abs/2308.07772","arxiv_id":"2308.07772","published":"2026-05-28"},{"title":"Tell Me a Story! Narrative-Driven XAI with Large Language Models","abstract":"In many AI applications today, the predominance of black-box machine learning models, due to their typically higher accuracy, amplifies the need for Explainable AI (XAI). Existing XAI approaches, such as the widely used SHAP values or counterfactual (CF) explanations, are arguably often too technical for users to understand and act upon. To enhance comprehension of explanations of AI decisions and the overall user ex","authors":["Martens, David","Hinns, James","Dams, Camille","Vergouwen, Mark","Evgeniou, Theodoros"],"url":"https://arxiv.org/abs/2309.17057","arxiv_id":"2309.17057","published":"2026-05-28"},{"title":"Delay-Aware Reinforcement Learning for Highway On-Ramp Merging under Stochastic Communication Latency","abstract":"Delayed and partially observable state information poses significant challenges for reinforcement learning (RL)-based control in real-world autonomous driving. In highway on-ramp merging, a roadside unit (RSU) can sense nearby traffic, perform edge perception, and transmit state estimates to the ego vehicle over vehicle-to-infrastructure (V2I) links. With recent advancements in intelligent transportation infrastructu","authors":["Tabrizian, Amin","Huang, Zhitong","Aziz, Arsyi","Wei, Peng"],"url":"https://arxiv.org/abs/2403.11852","arxiv_id":"2403.11852","published":"2026-05-28"},{"title":"Weak Convergence Analysis of Online Neural Actor-Critic Algorithms","abstract":"We prove that a single-layer neural network trained with the online actor critic algorithm converges in distribution to a random ordinary differential equation (ODE) as the number of hidden units and the number of training steps $\\rightarrow \\infty$. In the online actor-critic algorithm, the distribution of the data samples dynamically changes as the model is updated, which is a key challenge for any convergence anal","authors":["Lam, Samuel Chun-Hei","Sirignano, Justin","Wang, Ziheng"],"url":"https://arxiv.org/abs/2403.16825","arxiv_id":"2403.16825","published":"2026-05-28"},{"title":"Unifying Low Dimensional Spectra in Deep Learning","abstract":"Low dimensional structures appear ubiquitously in the eigenspectra of deep learning matrices in classification networks trained in the overparameterized regime. While theoretical advances have aimed to explain this phenomenology, they typically succeed only in capturing subsets of the full behavior or rely on assumptions that cannot hold in practice. In this work, we provide an analytic explanation for the bulk plus ","authors":["Garrod, Connall","Keating, Jonathan P."],"url":"https://arxiv.org/abs/2404.06106","arxiv_id":"2404.06106","published":"2026-05-28"},{"title":"Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report Generation","abstract":"A radiology report comprises presentation-style vocabulary, which ensures clarity and organization, and factual vocabulary, which provides accurate and objective descriptions based on observable findings. While manually writing these reports is time-consuming and labor-intensive, automatic report generation offers a promising alternative. A critical step in this process is to align radiographs with their correspondin","authors":["Liu, Kang","Ma, Zhuoqi","Liu, Mengmeng","Jiao, Zhicheng","Kang, Xiaolu","Miao, Qiguang"],"url":"https://arxiv.org/abs/2405.09586","arxiv_id":"2405.09586","published":"2026-05-28"},{"title":"Generalized Holographic Reduced Representations","abstract":"Hyperdimensional Computing (HDC) is a computationally and data-efficient paradigm that acts as a bridge between connectionist and symbolic approaches to artificial intelligence (AI). However, HDC's simplicity poses challenges for encoding complex compositional structures, especially in its binding operation. To address this, we propose Generalized Holographic Reduced Representations (GHRR), an extension of Fourie","authors":["Yeung, Calvin","Zou, Zhuowen","Jeong, SungHeon","Huang, Wenjun","Bastian, Nathaniel D","Imani, Mohsen"],"url":"https://arxiv.org/abs/2405.09689","arxiv_id":"2405.09689","published":"2026-05-28"},{"title":"Apple Intelligence Foundation Language Models","abstract":"We present foundation language models developed to power Apple Intelligence features, including a ~3 billion parameter model designed to run efficiently on devices and a large server-based language model designed for Private Cloud Compute. These models are designed to perform a wide range of tasks efficiently, accurately, and responsibly. This report describes the model architecture, the data used to train the model,","authors":["Gunter, Tom","Wang, Zirui","Wang, Chong","Pang, Ruoming","Narayanan, Andy","Zhang, Aonan"],"url":"https://arxiv.org/abs/2407.21075","arxiv_id":"2407.21075","published":"2026-05-28"},{"title":"GOProteinGNN: Leveraging Protein Knowledge Graphs for Protein Representation Learning","abstract":"Proteins play a vital role in biological processes and are indispensable for living organisms. Accurate representation of proteins is crucial, especially in drug development. Recently, there has been a notable increase in interest in utilizing machine learning and deep learning techniques for unsupervised learning of protein representations. However, these approaches often focus solely on the amino acid sequence of p","authors":["Kalifa, Dan","Singer, Uriel","Radinsky, Kira"],"url":"https://arxiv.org/abs/2408.00057","arxiv_id":"2408.00057","published":"2026-05-28"},{"title":"Sinc Kolmogorov-Arnold network and its application for solving PDEs with singularities","abstract":"In this paper, we propose to use Sinc interpolation in the context of Kolmogorov-Arnold Networks, neural networks with learnable activation functions, which recently gained attention as alternatives to Multilayer Perceptron. Many different function representations have already been tried, but we show that Sinc interpolation proposes a viable alternative, since it is known in numerical analysis to effectively represen","authors":["Yu, Tianchi","Qiu, Jingwei","Yang, Jiang","Oseledets, Ivan"],"url":"https://arxiv.org/abs/2410.04096","arxiv_id":"2410.04096","published":"2026-05-28"},{"title":"AdaMemento: Adaptive Memory-Assisted Policy Optimization for Reinforcement Learning","abstract":"In sparse reward scenarios of reinforcement learning (RL), the memory mechanism provides promising shortcuts to policy optimization by reflecting on past experiences like humans. However, current memory-based RL methods simply store and reuse high-value policies, lacking a deeper refining and filtering of diverse past experiences and hence limiting the capability of memory. In this paper, we propose AdaMemento, an ad","authors":["Yan, Renye","Gan, Yaozhong","Wu, You","Xing, Junliang","Liangn, Ling","Zhu, Yeshang"],"url":"https://arxiv.org/abs/2410.04498","arxiv_id":"2410.04498","published":"2026-05-28"},{"title":"Revisiting Graph Autoencoders as Implicit Contrastive Learners","abstract":"Graph autoencoders (GAEs) and graph contrastive learning (GCL) are two major paradigms for self-supervised representation learning on graphs, yet they are often studied in isolation and treated as fundamentally different approaches. In this work, we revisit GAEs through the lens of contrastive learning and show that both structure-based and feature-based GAEs can be conceptualized as implicitly graph contrastive lear","authors":["Li, Jintang","Wu, Ruofan","Zhu, Yuchang","Zhang, Huizhe","Zhu, Zulun","Chen, Liang"],"url":"https://arxiv.org/abs/2410.10241","arxiv_id":"2410.10241","published":"2026-05-28"},{"title":"Learning with Importance Weighted Variational Inference","abstract":"Several variational bounds involving importance weighting ideas generalize the Evidence Lower BOund (ELBO) for marginal likelihood optimization, such as the Importance-weighted Auto-Encoder (IWAE), Variational Rényi (VR) and VR-IWAE bounds. Yet, it remains unclear how the joint choice of bound and gradient estimator impacts the behavior of the resulting variational inference (VI) algorithms. This paper provides a uni","authors":["Daudel, Kamélia","Roueff, François"],"url":"https://arxiv.org/abs/2410.12035","arxiv_id":"2410.12035","published":"2026-05-28"},{"title":"Conformal Prediction for Hierarchical Data","abstract":"We consider conformal prediction for multivariate data and focus on hierarchical data, where some components are linear combinations of others. Intuitively, the hierarchical structure can be leveraged to reduce the size of prediction regions for the same coverage level. We implement this intuition by including a projection step (also called a reconciliation step) in the split conformal prediction [SCP] procedure, and","authors":["Principato, Guillaume","Stoltz, Gilles","Amara-Ouali, Yvenn","Goude, Yannig","Hamrouche, Bachir","Poggi, Jean-Michel"],"url":"https://arxiv.org/abs/2411.13479","arxiv_id":"2411.13479","published":"2026-05-28"}],"history":{"events":[{"year":2016,"text":"Harambe was shot and killed after grabbing a three-year-old boy in his enclosure at the Cincinnati Zoo and Botanical Garden, drawing widespread criticism and inspiring internet memes.","url":"https://en.wikipedia.org/wiki/Harambe"},{"year":2010,"text":"A train derailment and collision in the West Midnapore district of West Bengal, India, caused the deaths of at least 148 passengers.","url":"https://en.wikipedia.org/wiki/Jnaneswari_Express_train_derailment"},{"year":2002,"text":"An independent commission appointed by the Football Association voted two-to-one to allow Wimbledon F.C. to relocate from London to Milton Keynes.","url":"https://en.wikipedia.org/wiki/The_Football_Association"},{"year":1987,"text":"Mathias Rust, a West German aviator, flew his Cessna 172 from Helsinki, Finland, through Soviet air defences, landing illegally near Red Square in Moscow.","url":"https://en.wikipedia.org/wiki/Mathias_Rust"},{"year":1982,"text":"Falklands War: The British War Cabinet, which never considered using nuclear weapons in the conflict, ordered that the nuclear depth bombs on British ships return home.","url":"https://en.wikipedia.org/wiki/Falklands_War"},{"year":1940,"text":"Second World War: Belgium surrendered to Nazi Germany, ending the Battle of Belgium.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1937,"text":"The rise of Neville Chamberlain culminated with his accession as Prime Minister of the United Kingdom, being summoned to Buckingham Palace to \"kiss hands\".","url":"https://en.wikipedia.org/wiki/Rise_of_Neville_Chamberlain"},{"year":1901,"text":"Mozaffar ad-Din, Shah of Persia, granted exclusive rights to prospect for oil in the country to businessman William Knox D'Arcy (pictured).","url":"https://en.wikipedia.org/wiki/Mozaffar_ad-Din_Shah_Qajar"},{"year":1892,"text":"Scottish-American preservationist John Muir (pictured) founded the environmental organization Sierra Club in California.","url":"https://en.wikipedia.org/wiki/John_Muir"},{"year":1830,"text":"U.S. president Andrew Jackson signed the Indian Removal Act into law, authorizing him to negotiate with Native Americans for their removal from their ancestral homelands.","url":"https://en.wikipedia.org/wiki/Andrew_Jackson"},{"year":1754,"text":"French and Indian War: Led by 22-year-old George Washington, a company of Virginia colonial militiamen ambushed a force of 35 Canadiens at the Battle of Jumonville Glen.","url":"https://en.wikipedia.org/wiki/French_and_Indian_War"},{"year":1644,"text":"English Civil War: Royalist troops stormed and captured the Parliamentarian stronghold of Bolton, leading to a massacre of defenders and local residents.","url":"https://en.wikipedia.org/wiki/English_Civil_War"},{"year":1608,"text":"Italian composer Claudio Monteverdi debuted his second opera L'Arianna, now one of his lost works, at a royal wedding in Mantua.","url":"https://en.wikipedia.org/wiki/Claudio_Monteverdi"},{"year":621,"text":"Tang forces led by Li Shimin defeated and captured Dou Jiande at the Battle of Hulao in the civil war that followed the collapse of the Sui dynasty.","url":"https://en.wikipedia.org/wiki/Tang_dynasty"},{"year":-585,"text":"According to the Greek historian Herodotus, a solar eclipse, accurately predicted by Thales of Miletus, abruptly ended the Battle of Halys between the Lydians and the Medes.","url":"https://en.wikipedia.org/wiki/580s_BC"}],"births":[{"year":2000,"text":"Phil Foden, English footballer","url":"https://en.wikipedia.org/wiki/Phil_Foden"},{"year":2000,"text":"Risi Pouri-Lane, New Zealand rugby sevens player","url":"https://en.wikipedia.org/wiki/Risi_Pouri-Lane"},{"year":1999,"text":"Cameron Boyce, American actor (died 2019)","url":"https://en.wikipedia.org/wiki/Cameron_Boyce"},{"year":1999,"text":"Jodie Burrage, British tennis player","url":"https://en.wikipedia.org/wiki/Jodie_Burrage"},{"year":1998,"text":"Kim Dahyun, South Korean rapper and singer","url":"https://en.wikipedia.org/wiki/Dahyun"},{"year":1998,"text":"De'Anthony Melton, American basketball player","url":"https://en.wikipedia.org/wiki/De'Anthony_Melton"},{"year":1995,"text":"Lukas Gage, American actor","url":"https://en.wikipedia.org/wiki/Lukas_Gage"},{"year":1994,"text":"Alec Benjamin, American singer and songwriter","url":"https://en.wikipedia.org/wiki/Alec_Benjamin"}],"deaths":[{"year":2026,"text":"Claude Lemieux, heavy-hitting retired NHL forward and four-time Stanley Cup winner (born 1965)","url":"https://en.wikipedia.org/wiki/Claude_Lemieux"},{"year":2023,"text":"David Breaer, English politician, Lord-Lieutenant of Greater London (born 1940)","url":"https://en.wikipedia.org/wiki/David_Brewer_(broker)"},{"year":2023,"text":"George Cassidy, Northern Irish jazz musician (born 1936)","url":"https://en.wikipedia.org/wiki/George_Cassidy_(jazz_musician)"},{"year":2022,"text":"Patricia Brake, English actress (born 1942)","url":"https://en.wikipedia.org/wiki/Patricia_Brake"},{"year":2021,"text":"Mark Eaton, American basketball player (born 1957)","url":"https://en.wikipedia.org/wiki/Mark_Eaton"},{"year":2018,"text":"Neale Cooper, Scottish footballer (born 1963)","url":"https://en.wikipedia.org/wiki/Neale_Cooper"},{"year":2018,"text":"Jens Christian Skou, Danish medical doctor and Nobel Prize laureate (born 1918)","url":"https://en.wikipedia.org/wiki/Jens_Christian_Skou"},{"year":2018,"text":"Cornelia Frances, English-Australian actress (born 1941)","url":"https://en.wikipedia.org/wiki/Cornelia_Frances"}]},"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."}