{"date":"2026-02-17","schema_version":1,"captured_at":"2026-08-25T23:28:43.222Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":14},"attention":[{"title":"Robert Duvall","views":1673840,"rank":2,"extract":"Robert Selden Duvall was an American actor and filmmaker, best known for his roles in films of the later 20th century. 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No, but it's drowning","points":522,"comments":425,"url":"https://www.arthurcnops.blog/death-of-show-hn/","discussion":"https://news.ycombinator.com/item?id=47045804"},{"title":"Show HN: AsteroidOS 2.0 – Nobody asked, we shipped anyway","points":470,"comments":68,"url":"https://asteroidos.org/news/2-0-release/index.html","discussion":"https://news.ycombinator.com/item?id=47051852"},{"title":"BarraCUDA Open-source CUDA compiler targeting AMD GPUs","points":464,"comments":202,"url":"https://github.com/Zaneham/BarraCUDA","discussion":"https://news.ycombinator.com/item?id=47052941"},{"title":"Tesla 'Robotaxi' adds 5 more crashes in Austin in a month – 4x worse than humans","points":462,"comments":275,"url":"https://electrek.co/2026/02/17/tesla-robotaxi-adds-5-more-crashes-austin-month-4x-worse-than-humans/","discussion":"https://news.ycombinator.com/item?id=47051546"},{"title":"FreeCAD","points":443,"comments":192,"url":"https://www.freecad.org/index.php","discussion":"https://news.ycombinator.com/item?id=47047010"},{"title":"Gentoo on Codeberg","points":436,"comments":153,"url":"https://www.gentoo.org/news/2026/02/16/codeberg.html","discussion":"https://news.ycombinator.com/item?id=47050067"},{"title":"Using go fix to modernize Go code","points":432,"comments":83,"url":"https://go.dev/blog/gofix","discussion":"https://news.ycombinator.com/item?id=47049479"},{"title":"AI is destroying open source, and it's not even good yet","points":422,"comments":356,"url":"https://www.jeffgeerling.com/blog/2026/ai-is-destroying-open-source/","discussion":"https://news.ycombinator.com/item?id=47042136"},{"title":"HackMyClaw","points":369,"comments":182,"url":"https://hackmyclaw.com/","discussion":"https://news.ycombinator.com/item?id=47049573"},{"title":"Tesla Sales Down 55% UK, 58% Spain, 59% Germany, 81% Netherlands, 93% Norway","points":359,"comments":366,"url":"https://cleantechnica.com/2026/02/15/tesla-sales-down-tremendously-in-uk-norway-netherlands-germany-spain-sweden-denmark-portugal-switzerland/","discussion":"https://news.ycombinator.com/item?id=47048052"},{"title":"Semantic ablation: Why AI writing is generic and boring","points":285,"comments":204,"url":"https://www.theregister.com/2026/02/16/semantic_ablation_ai_writing/","discussion":"https://news.ycombinator.com/item?id=47049088"},{"title":"So you want to build a tunnel","points":272,"comments":110,"url":"https://practical.engineering/blog/2026/2/17/so-you-want-to-build-a-tunnel","discussion":"https://news.ycombinator.com/item?id=47049718"},{"title":"I converted 2D conventional flight tracking into 3D","points":270,"comments":56,"url":"https://aeris.edbn.me/?city=SFO","discussion":"https://news.ycombinator.com/item?id=47048004"},{"title":"Discord Rival Gets Overwhelmed by Exodus of Players Fleeing Age-Verification","points":267,"comments":145,"url":"https://kotaku.com/discord-alternative-teamspeak-age-verification-check-rivals-2000669693","discussion":"https://news.ycombinator.com/item?id=47050376"},{"title":"Show HN: I wrote a technical history book on Lisp","points":252,"comments":100,"url":"https://berksoft.ca/gol/","discussion":"https://news.ycombinator.com/item?id=47048733"},{"title":"Async/Await on the GPU","points":228,"comments":55,"url":"https://www.vectorware.com/blog/async-await-on-gpu/","discussion":"https://news.ycombinator.com/item?id=47049628"},{"title":"Stephen Colbert says CBS forbid interview of Democrat because of FCC threat","points":223,"comments":76,"url":"https://arstechnica.com/tech-policy/2026/02/stephen-colbert-says-cbs-forbid-interview-of-democrat-because-of-fcc-threat/","discussion":"https://news.ycombinator.com/item?id=47051793"},{"title":"How I use Obsidian (2023)","points":203,"comments":94,"url":"https://stephango.com/vault","discussion":"https://news.ycombinator.com/item?id=47054369"},{"title":"Poor Deming never stood a chance","points":195,"comments":132,"url":"https://surfingcomplexity.blog/2026/02/16/poor-deming-never-stood-a-chance/","discussion":"https://news.ycombinator.com/item?id=47042895"}],"research":[{"title":"An RL-Based Adaptive Detection Strategy to Secure Cyber-Physical Systems","abstract":"Increased dependence on networked, software based control has escalated the vulnerabilities of Cyber Physical Systems (CPSs). Detection and monitoring components developed leveraging dynamical systems theory are often employed as lightweight security measures for protecting such safety critical CPSs against false data injection attacks. However, existing approaches do not correlate attack scenarios with parameters of","authors":["Koley, Ipsita","Adhikary, Sunandan","Dey, Soumyajit"],"url":"https://arxiv.org/abs/2103.02872","arxiv_id":"2103.02872","published":"2026-02-17"},{"title":"Deep Two-Way Matrix Reordering for Relational Data Analysis","abstract":"Matrix reordering is a task to permute the rows and columns of a given observed matrix such that the resulting reordered matrix shows meaningful or interpretable structural patterns. Most existing matrix reordering techniques share the common processes of extracting some feature representations from an observed matrix in a predefined manner, and applying matrix reordering based on it. However, in some practical cases","authors":["Watanabe, Chihiro","Suzuki, Taiji"],"url":"https://arxiv.org/abs/2103.14203","arxiv_id":"2103.14203","published":"2026-02-17"},{"title":"Linear Convergence of Entropy-Regularized Natural Policy Gradient with Linear Function Approximation","abstract":"Natural policy gradient (NPG) methods with entropy regularization achieve impressive empirical success in reinforcement learning problems with large state-action spaces. However, their convergence properties and the impact of entropy regularization remain elusive in the function approximation regime. In this paper, we establish finite-time convergence analyses of entropy-regularized NPG with linear function approxima","authors":["Cayci, Semih","He, Niao","Srikant, R."],"url":"https://arxiv.org/abs/2106.04096","arxiv_id":"2106.04096","published":"2026-02-17"},{"title":"Learning with Subset Stacking","abstract":"We propose a new regression algorithm that learns from a set of input-output pairs. Our algorithm is designed for populations where the relation between the input variables and the output variable exhibits a heterogeneous behavior across the predictor space. The algorithm starts with generating subsets that are concentrated around random points in the input space. This is followed by training a local predictor for ea","authors":["Birbil, Ş. İlker","Yıldırım, Sinan","Çopur, Samet","Akyüz, M. Hakan"],"url":"https://arxiv.org/abs/2112.06251","arxiv_id":"2112.06251","published":"2026-02-17"},{"title":"LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification","abstract":"Cardiovascular diseases (CVDs) are a group of heart and blood vessel disorders that is one of the most serious dangers to human health, and the number of such patients is still growing. Early and accurate detection plays a key role in successful treatment and intervention. Electrocardiogram (ECG) is the gold standard for identifying a variety of cardiovascular abnormalities. In clinical practices and most of the curr","authors":["Le, Khiem H.","Pham, Hieu H.","Nguyen, Thao BT.","Nguyen, Tu A.","Thanh, Tien N.","Do, Cuong D."],"url":"https://arxiv.org/abs/2207.12381","arxiv_id":"2207.12381","published":"2026-02-17"},{"title":"Realtime Data-Efficient Portrait Stylization Based On Geometric Alignment","abstract":"Portrait Stylization aims to imbue portrait photos with vivid artistic effects drawn from style examples. Despite the availability of enormous training datasets and large network weights, existing methods struggle to maintain geometric consistency and achieve satisfactory stylization effects due to the disparity in facial feature distributions between facial photographs and stylized images, limiting the application o","authors":["Wang, Xinrui","Li, Zhuoru","Zhou, Xiao","Iwasawa, Yusuke","Matsuo, Yutaka"],"url":"https://arxiv.org/abs/2211.15549","arxiv_id":"2211.15549","published":"2026-02-17"},{"title":"TKN: Transformer-based Keypoint Prediction Network For Real-time Video Prediction","abstract":"Video prediction is a complex time-series forecasting task with great potential in many use cases. However, traditional methods prioritize accuracy and overlook slow prediction speeds due to complex model structures, redundant information, and excessive GPU memory consumption. These methods often predict frames sequentially, making acceleration difficult and limiting their applicability in real-time scenarios like da","authors":["Li, Haoran","Li, XiaoLu","Lin, Yihang","Hao, Yanbin","Xie, Haiyong","Zhou, Pengyuan"],"url":"https://arxiv.org/abs/2303.09807","arxiv_id":"2303.09807","published":"2026-02-17"},{"title":"Deconstructing Student Perceptions of Generative AI (GenAI) through an Expectancy Value Theory (EVT)-based Instrument","abstract":"This study examines the relationship between student perceptions and their intention to use generative AI in higher education. Drawing on Expectancy-Value Theory (EVT), a questionnaire was developed to measure students' knowledge of generative AI, perceived value, and perceived cost. A sample of 405 students participated in the study, and confirmatory factor analysis was used to validate the constructs. The resul","authors":["Chan, Cecilia Ka Yuk","Zhou, Wenxin"],"url":"https://arxiv.org/abs/2305.01186","arxiv_id":"2305.01186","published":"2026-02-17"},{"title":"Inference for relative sparsity","abstract":"In healthcare, there is much interest in estimating policies, or mappings from covariates to treatment decisions. Recently, there is also interest in constraining these estimated policies to the standard of care, which generated the observed data. A relative sparsity penalty was proposed to derive policies that have sparse, explainable differences from the standard of care, facilitating justification of the new polic","authors":["Weisenthal, Samuel J.","Thurston, Sally W.","Ertefaie, Ashkan"],"url":"https://arxiv.org/abs/2306.14297","arxiv_id":"2306.14297","published":"2026-02-17"},{"title":"A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot","abstract":"Generative modeling in machine learning aims to synthesize new data samples that are statistically similar to those observed during training. While conventional generative models such as GANs and diffusion models typically assume access to large and diverse datasets, many real-world applications (e.g. in medicine, satellite imaging, and artistic domains) operate under limited data availability and strict constraints.","authors":["Abdollahzadeh, Milad","Liu, Guimeng","Malekzadeh, Touba","Teo, Christopher T. H.","Chandrasegaran, Keshigeyan","Cheung, Ngai-Man"],"url":"https://arxiv.org/abs/2307.14397","arxiv_id":"2307.14397","published":"2026-02-17"},{"title":"When is Offline Policy Selection Sample Efficient for Reinforcement Learning?","abstract":"Offline reinforcement learning algorithms often require careful hyperparameter tuning. Before deployment, we need to select amongst a set of candidate policies. However, there is limited understanding about the fundamental limits of this offline policy selection (OPS) problem. In this work we provide clarity on when sample efficient OPS is possible, primarily by connecting OPS to off-policy policy evaluation (OPE) an","authors":["Liu, Vincent","Nagarajan, Prabhat","Patterson, Andrew","White, Martha"],"url":"https://arxiv.org/abs/2312.02355","arxiv_id":"2312.02355","published":"2026-02-17"},{"title":"Data-Driven Merton's Strategies via Policy Randomization","abstract":"We study Merton's expected utility maximization problem in an incomplete market, characterized by a factor process in addition to the stock price process, where all the model primitives are unknown. The agent under consideration is a price taker who has access only to the stock and factor value processes and the instantaneous volatility. We propose an auxiliary problem in which the agent can invoke policy randomi","authors":["Dai, Min","Dong, Yuchao","Jia, Yanwei","Zhou, Xun Yu"],"url":"https://arxiv.org/abs/2312.11797","arxiv_id":"2312.11797","published":"2026-02-17"},{"title":"Permutation-based Inference for Variational Learning of Directed Acyclic Graphs","abstract":"Estimating the structure of Bayesian networks as directed acyclic graphs (DAGs) from observational data is a fundamental challenge, particularly in causal discovery. Bayesian approaches excel by quantifying uncertainty and addressing identifiability, but key obstacles remain: (i) representing distributions over DAGs and (ii) estimating a posterior in the underlying combinatorial space. We introduce PIVID, a method th","authors":["Bonilla, Edwin V.","Elinas, Pantelis","Zhao, He","Filippone, Maurizio","Kitsios, Vassili","O'Kane, Terry"],"url":"https://arxiv.org/abs/2402.02644","arxiv_id":"2402.02644","published":"2026-02-17"},{"title":"Fully autonomous tuning of a spin qubit","abstract":"Spanning over two decades, the study of qubits in semiconductors for quantum computing has yielded significant breakthroughs. However, the development of large-scale semiconductor quantum circuits is still limited by challenges in efficiently tuning and operating these circuits. Identifying optimal operating conditions for these qubits is complex, involving the exploration of vast parameter spaces. This presents a re","authors":["Schuff, Jonas","Carballido, Miguel J.","Kotzagiannidis, Madeleine","Calvo, Juan Carlos","Caselli, Marco","Rawling, Jacob"],"url":"https://arxiv.org/abs/2402.03931","arxiv_id":"2402.03931","published":"2026-02-17"},{"title":"Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning","abstract":"While fine-tuning large language models (LLMs) for specific tasks often yields impressive results, it comes at the cost of memory inefficiency due to back-propagation in gradient-based training. Memory-efficient Zeroth-order (MeZO) optimizers, recently proposed to address this issue, only require forward passes during training, making them more memory-friendly. However, compared with exact gradients, ZO-based gradien","authors":["Liu, Yong","Zhu, Zirui","Gong, Chaoyu","Cheng, Minhao","Hsieh, Cho-Jui","You, Yang"],"url":"https://arxiv.org/abs/2402.15751","arxiv_id":"2402.15751","published":"2026-02-17"},{"title":"Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization","abstract":"Domain shift is a formidable issue in Machine Learning that causes a model to suffer from performance degradation when tested on unseen domains. Federated Domain Generalization (FedDG) attempts to train a global model using collaborative clients in a privacy-preserving manner that can generalize well to unseen clients possibly with domain shift. However, most existing FedDG methods either cause additional privacy ris","authors":["Le, Khiem","Ho, Long","Do, Cuong","Le-Phuoc, Danh","Wong, Kok-Seng"],"url":"https://arxiv.org/abs/2403.15605","arxiv_id":"2403.15605","published":"2026-02-17"},{"title":"When Attention Collapses: How Degenerate Layers in LLMs Enable Smaller, Stronger Models","abstract":"Large Language Models (LLMs) are known for their performance, but we uncover a significant structural inefficiency: a phenomenon we term attention collapse. In many pre-trained decoder-style LLMs, the attention matrices in deeper layers degenerate, collapsing to near rank-one structures. These underutilized layers, which we call lazy layers, are redundant and impair model efficiency. To address this, we introduce Inh","authors":["Sanyal, Sunny","Shwartz-Ziv, Ravid","Dimakis, Alexandros G.","Sanghavi, Sujay"],"url":"https://arxiv.org/abs/2404.08634","arxiv_id":"2404.08634","published":"2026-02-17"},{"title":"Optimal Design for Human Preference Elicitation","abstract":"Learning of preference models from human feedback has been central to recent advances in artificial intelligence. Motivated by the cost of obtaining high-quality human annotations, we study efficient human preference elicitation for learning preference models. The key idea in our work is to generalize optimal designs, an approach to computing optimal information-gathering policies, to lists of items that represent po","authors":["Mukherjee, Subhojyoti","Lalitha, Anusha","Kalantari, Kousha","Deshmukh, Aniket","Liu, Ge","Ma, Yifei"],"url":"https://arxiv.org/abs/2404.13895","arxiv_id":"2404.13895","published":"2026-02-17"},{"title":"Residual-based Attention Physics-informed Neural Networks for Spatio-Temporal Ageing Assessment of Transformers Operated in Renewable Power Plants","abstract":"Transformers are crucial for reliable and efficient power system operations, particularly in supporting the integration of renewable energy. Effective monitoring of transformer health is critical to maintain grid stability and performance. Thermal insulation ageing is a key transformer failure mode, which is generally tracked by monitoring the hotspot temperature (HST). However, HST measurement is complex, costly, an","authors":["Ramirez, Ibai","Pino, Joel","Pardo, David","Sanz, Mikel","del Rio, Luis","Ortiz, Alvaro"],"url":"https://arxiv.org/abs/2405.06443","arxiv_id":"2405.06443","published":"2026-02-17"},{"title":"DEPTH: Discourse Education through Pre-Training Hierarchically","abstract":"Language Models (LMs) struggle with linguistic understanding at the discourse level, even though discourse patterns such as coherence, cohesion, and narrative flow are prevalent in their pre-training data. To improve the discourse capabilities of LMs already at the pre-training stage, we introduce DEPTH, an encoder-decoder model that learns latent representations for sentences using a discourse-oriented pre-training ","authors":["Bamberger, Zachary","Glick, Ofek","Baskin, Chaim","Belinkov, Yonatan"],"url":"https://arxiv.org/abs/2405.07788","arxiv_id":"2405.07788","published":"2026-02-17"},{"title":"Experimental Evaluation of ROS-Causal in Real-World Human-Robot Spatial Interaction Scenarios","abstract":"Deploying robots in human-shared environments requires a deep understanding of how nearby agents and objects interact. Employing causal inference to model cause-and-effect relationships facilitates the prediction of human behaviours and enables the anticipation of robot interventions. However, a significant challenge arises due to the absence of implementation of existing causal discovery methods within the ROS ecosy","authors":["Castri, Luca","Beraldo, Gloria","Mghames, Sariah","Hanheide, Marc","Bellotto, Nicola"],"url":"https://arxiv.org/abs/2406.04955","arxiv_id":"2406.04955","published":"2026-02-17"},{"title":"Enhancing Supermarket Robot Interaction: A Multi-Level LLM Conversational Interface for Handling Diverse Customer Intents","abstract":"This paper presents the design and evaluation of a novel multi-level LLM interface for supermarket robots to assist customers. The proposed interface allows customers to convey their needs through both generic and specific queries. While state-of-the-art systems like OpenAI's GPTs are highly adaptable and easy to build and deploy, they still face challenges such as increased response times and limitations in stra","authors":["Nandkumar, Chandran","Peternel, Luka"],"url":"https://arxiv.org/abs/2406.11047","arxiv_id":"2406.11047","published":"2026-02-17"},{"title":"Synergizing Foundation Models and Federated Learning: A Survey","abstract":"Over the past few years, the landscape of Artificial Intelligence (AI) has been reshaped by the emergence of Foundation Models (FMs). Pre-trained on massive datasets, these models exhibit exceptional performance across diverse downstream tasks through adaptation techniques like fine-tuning and prompt learning. More recently, the synergy of FMs and Federated Learning (FL) has emerged as a promising paradigm, often ter","authors":["Li, Shenghui","Ye, Fanghua","Fang, Meng","Zhao, Jiaxu","Chan, Yun-Hin","Ngai, Edith C. H."],"url":"https://arxiv.org/abs/2406.12844","arxiv_id":"2406.12844","published":"2026-02-17"},{"title":"Paraphrase Types Elicit Prompt Engineering Capabilities","abstract":"Much of the success of modern language models depends on finding a suitable prompt to instruct the model. Until now, it has been largely unknown how variations in the linguistic expression of prompts affect these models. This study systematically and empirically evaluates which linguistic features influence models through paraphrase types, i.e., different linguistic changes at particular positions. We measure behavio","authors":["Wahle, Jan Philip","Ruas, Terry","Xu, Yang","Gipp, Bela"],"url":"https://arxiv.org/abs/2406.19898","arxiv_id":"2406.19898","published":"2026-02-17"},{"title":"Recent Advancements and Challenges of Turkic Central Asian Language Processing","abstract":"Research in NLP for Central Asian Turkic languages - Kazakh, Uzbek, Kyrgyz, and Turkmen - faces typical low-resource language challenges like data scarcity, limited linguistic resources and technology development. However, recent advancements have included the collection of language-specific datasets and the development of models for downstream tasks. Thus, this paper aims to summarize recent progress and identify fu","authors":["Veitsman, Yana","Hartmann, Mareike"],"url":"https://arxiv.org/abs/2407.05006","arxiv_id":"2407.05006","published":"2026-02-17"}],"history":{"events":[{"year":2011,"text":"Arab Spring: Bahraini security forces killed four protesters in a pre-dawn raid at the Pearl Roundabout in Manama, while the \"Day of Rage\" took place in Libya with nationwide protests against Muammar Gaddafi's government.","url":"https://en.wikipedia.org/wiki/Arab_Spring"},{"year":1996,"text":"An earthquake with a moment magnitude of 8.2 and a maximum Mercalli intensity of IX (Violent) occurred in the New Guinea Trench, which generated a tsunami that killed 108 people.","url":"https://en.wikipedia.org/wiki/1996_Biak_earthquake"},{"year":1978,"text":"The Troubles: The Provisional Irish Republican Army carried out a bombing of a restaurant near Belfast, Northern Ireland, killing twelve people and injuring thirty others.","url":"https://en.wikipedia.org/wiki/The_Troubles"},{"year":1974,"text":"A U.S. Army soldier stole a Bell UH-1 helicopter (pictured) and landed it on the South Lawn of the White House in Washington, D.C.","url":"https://en.wikipedia.org/wiki/Bell_UH-1_Iroquois"},{"year":1964,"text":"Gabonese military officers overthrew President Léon M'ba, but French forces, honouring a 1960 treaty, forcibly reinstated him two days later.","url":"https://en.wikipedia.org/wiki/1964_Gabonese_coup_d'%C3%A9tat"},{"year":1959,"text":"Vanguard 2 (model pictured), the first weather satellite, was launched to measure cloud cover distribution.","url":"https://en.wikipedia.org/wiki/Vanguard_2"},{"year":1944,"text":"World War II: The U.S. Navy began Operation Hailstone, a massive naval air and surface attack against the Japanese naval and air base at Chuuk Lagoon in the Caroline Islands.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1913,"text":"The Armory Show (commemorative button pictured), the first large modern-art exhibition in the United States, opened at the 69th Regiment Armory in New York City.","url":"https://en.wikipedia.org/wiki/Armory_Show"},{"year":1904,"text":"Italian composer Giacomo Puccini's Madama Butterfly premiered at La Scala in Milan to poor reviews, forcing him to revise the opera.","url":"https://en.wikipedia.org/wiki/Giacomo_Puccini"},{"year":1894,"text":"Rudolf Diesel's first working diesel engine ran for one minute.","url":"https://en.wikipedia.org/wiki/Rudolf_Diesel"},{"year":1859,"text":"Cochinchina campaign: French Navy forces captured the Citadel of Saigon, defended by 1,000 Vietnamese soldiers of the Nguyễn dynasty.","url":"https://en.wikipedia.org/wiki/Cochinchina_campaign"},{"year":1838,"text":"Great Trek: Zulu impis massacred about 532 Voortrekkers, Khoekhoe, and Basuto near present-day Weenen, South Africa.","url":"https://en.wikipedia.org/wiki/Great_Trek"},{"year":1815,"text":"The United States ratifies the Treaty of Ghent – signed in late 1814 – formally ending the War of 1812.","url":"https://en.wikipedia.org/wiki/Treaty_of_Ghent"},{"year":1621,"text":"Myles Standish was elected the first commander of the militia of Plymouth Colony.","url":"https://en.wikipedia.org/wiki/Myles_Standish"}],"births":[{"year":1998,"text":"Devin White, American football player","url":"https://en.wikipedia.org/wiki/Devin_White"},{"year":1997,"text":"Gaetano Castrovilli, Italian footballer","url":"https://en.wikipedia.org/wiki/Gaetano_Castrovilli"},{"year":1996,"text":"Sebastian Aho, Swedish ice hockey player","url":"https://en.wikipedia.org/wiki/Sebastian_Aho_(ice_hockey%2C_born_1996)"},{"year":1996,"text":"Sasha Pieterse, South African-American actress and singer-songwriter","url":"https://en.wikipedia.org/wiki/Sasha_Pieterse"},{"year":1995,"text":"Madison Keys, American tennis player","url":"https://en.wikipedia.org/wiki/Madison_Keys"},{"year":1994,"text":"Mason Jobst, American ice hockey player","url":"https://en.wikipedia.org/wiki/Mason_Jobst"},{"year":1993,"text":"Marc Márquez, Spanish motorcycle racer","url":"https://en.wikipedia.org/wiki/Marc_M%C3%A1rquez"},{"year":1992,"text":"Meaghan Martin, American actress and singer","url":"https://en.wikipedia.org/wiki/Meaghan_Martin"}],"deaths":[{"year":2026,"text":"Jesse Jackson, American civil rights leader, activist, and politician (born 1941)","url":"https://en.wikipedia.org/wiki/Jesse_Jackson"},{"year":2026,"text":"Shinya Yamada, Japanese musician (born 1970)","url":"https://en.wikipedia.org/wiki/Shinya_(musician)"},{"year":2025,"text":"Paquita la del Barrio, Mexican singer, songwriter and actress (born 1947)","url":"https://en.wikipedia.org/wiki/Paquita_la_del_Barrio"},{"year":2025,"text":"Frits Bolkestein, Dutch politician (born 1933)","url":"https://en.wikipedia.org/wiki/Frits_Bolkestein"},{"year":2025,"text":"Rick Buckler, English drummer, songwriter, and producer (born 1955)","url":"https://en.wikipedia.org/wiki/Rick_Buckler"},{"year":2025,"text":"James Harrison, Australian blood plasma donor (born 1936)","url":"https://en.wikipedia.org/wiki/James_Harrison_(blood_donor)"},{"year":2024,"text":"Gamini Jayawickrama Perera, Sri Lankan politician (born 1941)","url":"https://en.wikipedia.org/wiki/Gamini_Jayawickrama_Perera"},{"year":2024,"text":"Josette Molland, WWII French Resistance member and artist (born 1923)","url":"https://en.wikipedia.org/wiki/Josette_Molland"}]},"census":null,"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 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Every item links to its source."}