{"date":"2026-06-16","schema_version":1,"captured_at":"2026-08-25T23:12:35.614Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":14},"attention":[{"title":"Oliver Tree","views":1495154,"rank":2,"extract":"Oliver Tree Nickell was an American singer-songwriter, rapper, and record producer. Born in Santa Cruz, California, Tree signed to Atlantic Records in 2017 after his song \"When I'm Down\" went viral. He released his debut studio album Ugly Is Beautiful in July ","url":"https://en.wikipedia.org/wiki/Oliver_Tree","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/0/0b/Oliver_Tree%2C_cantante_en_2022_%283x4_cropped%29.png/330px-Oliver_Tree%2C_cantante_en_2022_%283x4_cropped%29.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Cape Verde","views":1232812,"rank":3,"extract":"Cape Verde, also referred to in English by its Portuguese name Cabo Verde, and known officially as the Republic of Cabo Verde, is an archipelagic country in the eastern Atlantic Ocean, off the coast of West Africa. It consists of ten volcanic islands with a co","url":"https://en.wikipedia.org/wiki/Cape_Verde","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/7/7a/Flag_of_Cape_Verde_%283-2%29.svg/330px-Flag_of_Cape_Verde_%283-2%29.svg.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"2026 FIFA World Cup","views":666582,"rank":5,"extract":"The 2026 FIFA World Cup was the 23rd FIFA World Cup, the quadrennial international men's soccer championship contested by the national teams of the member associations of FIFA. The tournament began on June 11, 2026, and concluded on July 19 with Spain winning ","url":"https://en.wikipedia.org/wiki/2026_FIFA_World_Cup","thumb":"https://upload.wikimedia.org/wikipedia/en/thumb/1/17/2026_FIFA_World_Cup_emblem.svg/330px-2026_FIFA_World_Cup_emblem.svg.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"UFC Freedom 250","views":503558,"rank":7,"extract":"UFC Freedom 250 was a mixed martial arts event produced by the Ultimate Fighting Championship that took place on June 14, 2026, on the South Lawn of the White House in Washington, D.C., United States. 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He is almost certainly a better overall programmer","points":938,"comments":463,"url":"https://twitter.com/ID_AA_Carmack/status/2064095424420487226","discussion":"https://news.ycombinator.com/item?id=48550779"},{"title":"Apple's weird anti-nausea dots cured my car sickness","points":902,"comments":270,"url":"https://www.theverge.com/tech/942854/apple-vehicle-motion-cues-review-really-work","discussion":"https://news.ycombinator.com/item?id=48557530"},{"title":"Mechanical Watch (2022)","points":745,"comments":128,"url":"https://ciechanow.ski/mechanical-watch/","discussion":"https://news.ycombinator.com/item?id=48553550"},{"title":"Is Meta destroying its engineering organization?","points":668,"comments":618,"url":"https://newsletter.pragmaticengineer.com/p/why-is-meta-destroying-its-engineering","discussion":"https://news.ycombinator.com/item?id=48558045"},{"title":"Feds freaked over Fable 5 after 'fix this code', not jailbreak, say researchers","points":613,"comments":361,"url":"https://www.theregister.com/security/2026/06/15/feds-freaked-over-fable-5-after-simple-fix-this-code-prompt-not-jailbreak-says-researcher/5255827","discussion":"https://news.ycombinator.com/item?id=48552687"},{"title":"Calvin and Hobbes and the price of integrity","points":560,"comments":245,"url":"https://therepublicofletters.substack.com/p/calvin-and-hobbes-and-the-price-of","discussion":"https://news.ycombinator.com/item?id=48557079"},{"title":"TIL: You can make HTTP requests without curl using Bash /dev/TCP","points":548,"comments":238,"url":"https://mareksuppa.com/til/bash-dev-tcp-http-without-curl/","discussion":"https://news.ycombinator.com/item?id=48558018"},{"title":"Apple is about to make Hide My Email useless","points":529,"comments":345,"url":"https://arseniyshestakov.com/2026/06/16/apple-is-about-to-make-hide-my-email-useless/","discussion":"https://news.ycombinator.com/item?id=48559935"},{"title":"The time the x86 emulator team found code so bad they fixed it during emulation","points":504,"comments":173,"url":"https://devblogs.microsoft.com/oldnewthing/20260615-00/?p=112419","discussion":"https://news.ycombinator.com/item?id=48550693"},{"title":"Stop Using JWTs","points":492,"comments":323,"url":"https://gist.github.com/samsch/0d1f3d3b4745d778f78b230cf6061452","discussion":"https://news.ycombinator.com/item?id=48558147"},{"title":"DuckDB Internals Part 1","points":480,"comments":153,"url":"https://www.greybeam.ai/blog/duckdb-internals-part-1","discussion":"https://news.ycombinator.com/item?id=48553388"},{"title":"U.S. pulling ocean sensors a 'shock' for Canadian research as El Niño nears","points":463,"comments":276,"url":"https://www.timescolonist.com/local-news/us-pulling-ocean-sensors-a-shock-for-canadian-research-as-el-nino-nears-12422874","discussion":"https://news.ycombinator.com/item?id=48560847"},{"title":"Has AI already killed self-help nonfiction books?","points":422,"comments":489,"url":"https://tim.blog/2026/06/12/has-ai-already-killed-nonfiction/","discussion":"https://news.ycombinator.com/item?id=48558489"},{"title":"Humiliating IIS servers for fun and jail time","points":365,"comments":98,"url":"https://mll.sh/humiliating-iis-servers-for-fun-and-jail-time/","discussion":"https://news.ycombinator.com/item?id=48563394"},{"title":"How we run Firecracker VMs inside EC2 and start browsers in less than 1s","points":322,"comments":238,"url":"https://browser-use.com/posts/firecracker-browser-infra","discussion":"https://news.ycombinator.com/item?id=48556561"},{"title":"I Could've Rickrolled the FIFA World Cup. All I Needed Was My ID","points":315,"comments":99,"url":"https://bobdahacker.com/blog/fifa-hack","discussion":"https://news.ycombinator.com/item?id=48550936"},{"title":"Correlated randomness in Slay the Spire 2","points":310,"comments":89,"url":"https://tck.mn/blog/correlated-randomness-sts2/","discussion":"https://news.ycombinator.com/item?id=48552844"},{"title":"But yak shaving is fun (2019)","points":307,"comments":95,"url":"https://parksb.github.io/en/article/32.html","discussion":"https://news.ycombinator.com/item?id=48555838"},{"title":"Google Chrome update will close the door on ad blockers","points":291,"comments":380,"url":"https://9to5google.com/2026/06/15/google-chromes-next-update-will-mark-the-end-of-popular-ad-blockers/","discussion":"https://news.ycombinator.com/item?id=48555244"},{"title":"Zen and the Art of Machine Learning Research","points":289,"comments":105,"url":"https://blog.jxmo.io/p/zen-and-the-art-of-machine-learning","discussion":"https://news.ycombinator.com/item?id=48549118"},{"title":"SpaceX Is Buying Cursor","points":289,"comments":3,"url":"https://www.bbc.com/news/articles/cvgd5g7d7gyo","discussion":"https://news.ycombinator.com/item?id=48554215"},{"title":"GPT‑NL: a sovereign language model for the Netherlands","points":252,"comments":305,"url":"https://www.tno.nl/en/digital/artificial-intelligence/gpt-nl/","discussion":"https://news.ycombinator.com/item?id=48559188"}],"research":[{"title":"HK-LegiCoST: Leveraging Non-Verbatim Transcripts for Speech Translation","abstract":"We introduce HK-LegiCoST, a new three-way parallel corpus of Cantonese-English translations, containing 600+ hours of Cantonese audio, its standard traditional Chinese transcript, and English translation, segmented and aligned at the sentence level. We describe the notable challenges in corpus preparation: segmentation, alignment of long audio recordings, and sentence-level alignment with non-verbatim transcripts. Su","authors":["Xiao, Cihan","Xinyuan, Henry Li","Yang, Jinyi","Gao, Dongji","Wiesner, Matthew","Duh, Kevin"],"url":"https://arxiv.org/abs/2306.11252","arxiv_id":"2306.11252","published":"2026-06-16"},{"title":"Attention, not scale, drives human-AI alignment in multimodal language prediction","abstract":"Humans routinely draw on visual context to predict upcoming words. To what extent current vision-language models produce comparable behaviour is unclear. Here we placed five state-of-the-art pretrained systems side-by-side with 600 human participants in a web-based Visual-World Paradigm. On each of 100 six-second movie clips, models and participants received either text only or synchronised video and text and judged ","authors":["Kewenig, Viktor","Lampinen, Andrew","Nastase, Samuel A.","Edwards, Christopher","D'Elascombe, Quitterie Lacome","Rechardt, Akilles"],"url":"https://arxiv.org/abs/2308.06035","arxiv_id":"2308.06035","published":"2026-06-16"},{"title":"Multi-Grade Deep Learning for Partial Differential Equations with Applications to the Burgers Equation","abstract":"Deep neural networks (DNNs) show great promise for solving partial differential equations (PDEs), but their deep architectures introduce complex, large-scale, non-convex optimization challenges. Nonlinear PDEs, like the viscous Burgers' equation, compound these difficulties due to steep gradients and shock-like solutions. To address this, we propose a two-stage multi-grade deep learning (TS-MGDL) method. In the f","authors":["Xu, Yuesheng","Zeng, Taishan"],"url":"https://arxiv.org/abs/2309.07401","arxiv_id":"2309.07401","published":"2026-06-16"},{"title":"DURENDAL: Graph deep learning framework for temporal heterogeneous networks","abstract":"Temporal heterogeneous networks (THNs) are evolving networks that characterize many real-world applications such as citation and events networks, recommender systems, and knowledge graphs. Although different Graph Neural Networks (GNNs) have been successfully applied to dynamic graphs, most of them only support homogeneous graphs or suffer from model design heavily influenced by specific THNs prediction tasks. Furthe","authors":["Dileo, Manuel","Zignani, Matteo","Gaito, Sabrina"],"url":"https://arxiv.org/abs/2310.00336","arxiv_id":"2310.00336","published":"2026-06-16"},{"title":"It's About Time: Temporal References in Emergent Communication","abstract":"Emergent communication enables agents to develop bespoke languages that improve communication efficiency. Despite the known importance of temporal structure in natural language, there is no existing evidence of temporal references in emergent communication. This paper addresses this gap, by exploring how agents communicate about temporal relationships. We analyse three potential factors for the emergence of temporal ","authors":["Lipinski, Olaf","Sobey, Adam J.","Cerutti, Federico","Norman, Timothy J."],"url":"https://arxiv.org/abs/2310.06555","arxiv_id":"2310.06555","published":"2026-06-16"},{"title":"Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion","abstract":"Merging models fine-tuned from a common, extensively pre-trained large model but specialized for different tasks has been demonstrated as a cheap and scalable strategy to construct a multi-task model that performs well across diverse tasks. Recent research, exemplified by task arithmetic, highlights that this multi-task model can be derived through arithmetic operations on task vectors. Nevertheless, current merging ","authors":["Tang, Anke","Luo, Xianglin","Shen, Li","Luo, Yong","Ding, Liang","Hu, Han"],"url":"https://arxiv.org/abs/2312.06173","arxiv_id":"2312.06173","published":"2026-06-16"},{"title":"SeizNet: An AI-enabled Implantable Sensor Network System for Seizure Prediction","abstract":"In this paper, we introduce SeizNet, a closed-loop system for predicting epileptic seizures through the use of Deep Learning (DL) method and implantable sensor networks. While pharmacological treatment is effective for some epilepsy patients (with ~65M people affected worldwide), one out of three suffer from drug-resistant epilepsy. To alleviate the impact of seizure, predictive systems have been developed that can n","authors":["Saeizadeh, Ali","Schonholtz, Douglas","Uvaydov, Daniel","Guida, Raffaele","Demirors, Emrecan","Johari, Pedram"],"url":"https://arxiv.org/abs/2401.06644","arxiv_id":"2401.06644","published":"2026-06-16"},{"title":"A Survey on 3D Skeleton Based Person Re-Identification: Taxonomy, Advances, Challenges, and Interdisciplinary Prospects","abstract":"Person re-identification via 3D skeletons is an important emerging research area that attracts increasing attention within the pattern recognition community. With distinctive advantages across various application scenarios, numerous 3D skeleton based person re-identification (SRID) methods with diverse skeleton modeling and learning paradigms have been proposed in recent years. In this paper, we provide a comprehensi","authors":["Rao, Haocong","Miao, Chunyan"],"url":"https://arxiv.org/abs/2401.15296","arxiv_id":"2401.15296","published":"2026-06-16"},{"title":"LLM-based Privacy Data Augmentation Guided by Knowledge Distillation with a Distribution Tutor for Medical Text Classification","abstract":"As sufficient data are not always publically accessible for model training, researchers exploit limited data with advanced learning algorithms or expand the dataset via data augmentation (DA). Conducting DA in private domain requires private protection approaches (i.e. anonymization and perturbation), but those methods cannot provide protection guarantees. Differential privacy (DP) learning methods theoretically boun","authors":["Song, Yiping","Zhang, Juhua","Tian, Zhiliang","Yang, Yuxin","Huang, Minlie","Li, Dongsheng"],"url":"https://arxiv.org/abs/2402.16515","arxiv_id":"2402.16515","published":"2026-06-16"},{"title":"Automatic Summarization of Doctor-Patient Encounter Dialogues Using Large Language Model through Prompt Tuning","abstract":"Automatic text summarization (ATS) is an emerging technology to assist clinicians in providing continuous and coordinated care. This study presents an approach to summarize doctor-patient dialogues using generative large language models (LLMs). We developed prompt-tuning algorithms to instruct generative LLMs to summarize clinical text. We examined the prompt-tuning strategies, the size of soft prompts, and the few-s","authors":["Lyu, Mengxian","Peng, Cheng","Li, Xiaohan","Balian, Patrick","Bian, Jiang","Wu, Yonghui"],"url":"https://arxiv.org/abs/2403.13089","arxiv_id":"2403.13089","published":"2026-06-16"},{"title":"Design and Scheduling of an AI-based Queueing System","abstract":"To leverage prediction models to make optimal scheduling decisions in service systems, we must understand how predictive errors impact congestion due to externalities on the delay of other jobs. Motivated by applications where prediction models interact with human servers (e.g., content moderation), we consider a large queueing system comprising of many single server queues where the class of a job is estimated using","authors":["Lee, Jiung","Namkoong, Hongseok","Zeng, Yibo"],"url":"https://arxiv.org/abs/2406.06855","arxiv_id":"2406.06855","published":"2026-06-16"},{"title":"Speaking Your Language: Spatial Relationships in Interpretable Emergent Communication","abstract":"Effective communication requires the ability to refer to specific parts of an observation in relation to others. While emergent communication literature shows success in developing various language properties, no research has shown the emergence of such positional references. This paper demonstrates how agents can communicate about spatial relationships within their observations. The results indicate that agents can ","authors":["Lipinski, Olaf","Sobey, Adam J.","Cerutti, Federico","Norman, Timothy J."],"url":"https://arxiv.org/abs/2406.07277","arxiv_id":"2406.07277","published":"2026-06-16"},{"title":"MixTeX: Data-Efficient LaTeX OCR via Synthetic Pretraining and Limited Fine-Tuning","abstract":"LaTeX OCR converts scientific document images into editable LaTeX code. Existing systems rely on large paired datasets, which are costly to collect and limited for low-resource languages. This paper presents MIXTEX, a data-efficient system using synthetic pretraining without real LaTeX sources. Unlike Nougat that depends on arXiv datasets, we generate training data by randomly pairing grammatical Wikipedia text with ","authors":["Xu, Yuhan","Zhao, Yijun","Luo, Renqing","Weiss, Gary M."],"url":"https://arxiv.org/abs/2406.17148","arxiv_id":"2406.17148","published":"2026-06-16"},{"title":"Mitigating scalability challenges in LUT-based neural networks via pruning optimisations","abstract":"Modern deep neural networks heavily rely on a large number of multiply-accumulate operations, which constitute the predominant computational cost. To address this, Look-Up Table (LUT)-based matrix multiplications have emerged as a promising alternative for reducing the computational cost and time of the multiply-accumulate operations in a neural network. However, the LUT-based neural network still faces the scalabili","authors":["Zhu, Xuqi","Zhang, Huaizhi","Lee, JunKyu","Zhu, Jiacheng","Pal, Chandrajit","Saha, Sangeet"],"url":"https://arxiv.org/abs/2407.02362","arxiv_id":"2407.02362","published":"2026-06-16"},{"title":"Imbalanced Semi-Supervised Learning via Label Refinement and Threshold Adjustment","abstract":"Semi-supervised learning (SSL) algorithms often struggle to perform well when trained on imbalanced data. In such scenarios, the generated pseudo-labels tend to exhibit a bias toward the majority class, and models relying on these pseudo-labels can further amplify this bias. Existing imbalanced SSL algorithms explore pseudo-labeling strategies based on either pseudo-label refinement (PLR) or threshold adjustment (THA","authors":["Li, Zeju","Zheng, Ying-Qiu","Chen, Chen","Jbabdi, Saad"],"url":"https://arxiv.org/abs/2407.05370","arxiv_id":"2407.05370","published":"2026-06-16"},{"title":"Metacognitive Myopia in Large Language Models","abstract":"Large Language Models (LLMs) exhibit potentially harmful biases that reinforce culturally embedded stereotypes, influence moral judgments, or amplify positive evaluations of majority groups. We propose metacognitive myopia as a cognitive-ecological framework accounting for a conglomerate of established and emerging LLM biases. Our theoretical framework posits that biased samples in the information environment cause f","authors":["Scholten, Florian","Rebholz, Tobias R.","Hütter, Mandy"],"url":"https://arxiv.org/abs/2408.05568","arxiv_id":"2408.05568","published":"2026-06-16"},{"title":"A Functional Trade-off between Prosodic and Semantic Cues in Conveying Sarcasm","abstract":"This study investigates the acoustic features of sarcasm and disentangles the interplay between the propensity of an utterance being used sarcastically and the presence of prosodic cues signaling sarcasm. Using a dataset of sarcastic utterances compiled from television shows, we analyze the prosodic features within utterances and key phrases belonging to three distinct sarcasm categories (embedded, propositional, and","authors":["Li, Zhu","Gao, Xiyuan","Zhang, Yuqing","Nayak, Shekhar","Coler, Matt"],"url":"https://arxiv.org/abs/2408.14892","arxiv_id":"2408.14892","published":"2026-06-16"},{"title":"Ensuring Fairness with Transparent Auditing of Quantitative Bias in AI Systems","abstract":"With the rapid advancement of AI, there is a growing trend to integrate AI into decision-making processes. However, AI systems may exhibit biases that lead decision-makers to draw unfair conclusions. Notably, the COMPAS system used in the American justice system to evaluate recidivism was found to favor racial majority groups; specifically, it violates a fairness standard called equalized odds. Various measures have ","authors":["Yuan, Chih-Cheng Rex","Wang, Bow-Yaw"],"url":"https://arxiv.org/abs/2409.06708","arxiv_id":"2409.06708","published":"2026-06-16"},{"title":"Best Arm Identification with Minimal Regret","abstract":"Motivated by real-world applications that necessitate responsible experimentation, we introduce the problem of best arm identification (BAI) with minimal regret. This variant of the multi-armed bandit problem elegantly amalgamates two of its most ubiquitous objectives: regret minimization and BAI. More precisely, the agent's goal is to identify the best arm with a prescribed confidence level $δ$, while minimizing","authors":["Yang, Junwen","Tan, Vincent Y. F.","Jin, Tianyuan"],"url":"https://arxiv.org/abs/2409.18909","arxiv_id":"2409.18909","published":"2026-06-16"},{"title":"Generative causal testing to bridge data-driven models and scientific theories in language neuroscience","abstract":"Representations from large language models are highly effective at predicting BOLD fMRI responses to language stimuli. However, these representations are largely opaque: it is unclear what features of the language stimulus drive the response in each brain area. We present generative causal testing (GCT), a framework for generating concise explanations of language selectivity in the brain from predictive models and th","authors":["Antonello, Richard","Singh, Chandan","Jain, Shailee","Hsu, Aliyah","Guo, Sihang","Gao, Jianfeng"],"url":"https://arxiv.org/abs/2410.00812","arxiv_id":"2410.00812","published":"2026-06-16"},{"title":"Investigating Role of Big Five Personality Traits in Audio-Visual Rapport Estimation","abstract":"Automatic rapport estimation in social interactions is a central component of affective computing. Recent reports have shown that the estimation performance of rapport in initial interactions can be improved by using the participant's personality traits as the model's input. In this study, we investigate whether this findings applies to interactions between friends by developing rapport estimation models that","authors":["Hayashi, Takato","Kimura, Ryusei","Ishii, Ryo","Okada, Shogo"],"url":"https://arxiv.org/abs/2410.11861","arxiv_id":"2410.11861","published":"2026-06-16"},{"title":"Similarity-Dissimilarity Loss for Multi-label Supervised Contrastive Learning","abstract":"Supervised contrastive learning has achieved remarkable success by leveraging label information; however, determining positive samples in multi-label scenarios remains a critical challenge. In multi-label supervised contrastive learning (MSCL), multi-label relations are not yet fully defined, leading to ambiguity in identifying positive samples and formulating contrastive loss functions to construct the representatio","authors":["Huang, Guangming","Long, Yunfei","Luo, Cunjin"],"url":"https://arxiv.org/abs/2410.13439","arxiv_id":"2410.13439","published":"2026-06-16"},{"title":"A Multi-Modal Non-Invasive Deep Learning Framework for Progressive Prediction of Seizures","abstract":"This paper introduces an innovative framework designed for progressive (granular in time to onset) prediction of seizures through the utilization of a Deep Learning (DL) methodology based on non-invasive multi-modal sensor networks. Epilepsy, a debilitating neurological condition, affects an estimated 65 million individuals globally, with a substantial proportion facing drug-resistant epilepsy despite pharmacological","authors":["Saeizadeh, Ali","Schonholtz, Douglas","Neimat, Joseph S.","Johari, Pedram","Melodia, Tommaso"],"url":"https://arxiv.org/abs/2410.20066","arxiv_id":"2410.20066","published":"2026-06-16"},{"title":"An Efficient Watermarking Method for Latent Diffusion Models via Low-Rank Adaptation and Dynamic Loss Weighting","abstract":"The rapid proliferation of Deep Neural Networks (DNNs) is driving a surge in model watermarking technologies, as the trained models themselves constitute valuable intellectual property. Existing watermarking approaches primarily focus on modifying model parameters or altering sampling behaviors. However, with the emergence of increasingly large models, improving the efficiency of watermark embedding becomes essential","authors":["Lin, Dongdong","Li, Yue","Tondi, Benedetta","Lin, Kaiqing","Li, Bin","Barni, Mauro"],"url":"https://arxiv.org/abs/2410.20202","arxiv_id":"2410.20202","published":"2026-06-16"},{"title":"SimSiam Naming Game: A Unified Approach for Emergent Communication and Representation Learning","abstract":"Emergent Communication (EmCom) investigates how agents develop symbolic communication through interaction without predefined language. Recent frameworks, such as the Metropolis--Hastings Naming Game (MHNG), formulate EmCom as the learning of shared external representations negotiated through interaction under joint attention, without explicit success or reward feedback. However, MHNG relies on sampling-based updates ","authors":["Hoang, Nguyen Le","Taniguchi, Tadahiro","Fang, Tianwei","Taniguchi, Akira","Nagano, Masatoshi"],"url":"https://arxiv.org/abs/2410.21803","arxiv_id":"2410.21803","published":"2026-06-16"}],"history":{"events":[{"year":2016,"text":"Jo Cox, a British Member of Parliament, was murdered in her constituency.","url":"https://en.wikipedia.org/wiki/Jo_Cox"},{"year":2012,"text":"Liu Yang (pictured), a member of the Shenzhou 9 crew, became the first Chinese woman in space.","url":"https://en.wikipedia.org/wiki/Liu_Yang_(taikonaut)"},{"year":1997,"text":"The English rock band Radiohead released their landmark third album OK Computer in the United Kingdom.","url":"https://en.wikipedia.org/wiki/Radiohead"},{"year":1972,"text":"English musician David Bowie released his breakthrough album, The Rise and Fall of Ziggy Stardust and the Spiders from Mars.","url":"https://en.wikipedia.org/wiki/David_Bowie"},{"year":1963,"text":"Aboard Vostok 6, Soviet cosmonaut Valentina Tereshkova (pictured) became the first woman in space.","url":"https://en.wikipedia.org/wiki/Vostok_6"},{"year":1960,"text":"Psycho, a psychological horror film directed by Alfred Hitchcock and based on a novel of the same name by Robert Bloch, premiered.","url":"https://en.wikipedia.org/wiki/Psycho_(1960_film)"},{"year":1936,"text":"A Junkers Ju 52 aircraft of Norwegian Air Lines crashed into a mountainside near Hyllestad, Norway, killing all seven people on board.","url":"https://en.wikipedia.org/wiki/Junkers_Ju_52"},{"year":1904,"text":"Irish author James Joyce (pictured) began a relationship with Nora Barnacle, and subsequently used the date to set the actions for his 1922 novel Ulysses, commemorated as Bloomsday.","url":"https://en.wikipedia.org/wiki/James_Joyce"},{"year":1883,"text":"In the Victoria Hall disaster, 183 children were crushed to death when they ran down the stairs to collect gifts after a variety show in Sunderland, England.","url":"https://en.wikipedia.org/wiki/Victoria_Hall_disaster"},{"year":1819,"text":"A strong earthquake in the Kutch district of Gujarat, India, caused a local zone of uplift that dammed the Nara River, which was later named the Allah Bund ('Dam of God').","url":"https://en.wikipedia.org/wiki/1819_Rann_of_Kutch_earthquake"},{"year":1755,"text":"After a two-week siege, the French commander of Fort Beauséjour in present-day New Brunswick, Canada, surrendered to British forces, marking the end of Father Le Loutre's War.","url":"https://en.wikipedia.org/wiki/Battle_of_Fort_Beaus%C3%A9jour"},{"year":1632,"text":"The Plymouth Company granted a land patent to Thomas Purchase, who became the first permanent European settler of Pejepscot, Maine.","url":"https://en.wikipedia.org/wiki/Plymouth_Company"},{"year":1407,"text":"Ming forces conquered Đại Ngu in modern-day northern Vietnam, capturing Hồ dynasty emperor Hồ Quý Ly and bringing the country under Chinese rule.","url":"https://en.wikipedia.org/wiki/Ming_dynasty"},{"year":632,"text":"The final king of the Sasanian Empire of Iran, Yazdegerd III, ascended the throne at the age of eight.","url":"https://en.wikipedia.org/wiki/Sasanian_Empire"}],"births":[{"year":2003,"text":"Anna Cathcart, Canadian actress","url":"https://en.wikipedia.org/wiki/Anna_Cathcart"},{"year":2002,"text":"Sam Walker, English-Australian rugby league player","url":"https://en.wikipedia.org/wiki/Sam_Walker_(rugby_league)"},{"year":2000,"text":"Bianca Andreescu, Canadian tennis player","url":"https://en.wikipedia.org/wiki/Bianca_Andreescu"},{"year":1999,"text":"Justin Jefferson, American football player","url":"https://en.wikipedia.org/wiki/Justin_Jefferson"},{"year":1999,"text":"Ibrahima Koné, Malian footballer","url":"https://en.wikipedia.org/wiki/Ibrahima_Kon%C3%A9_(footballer%2C_born_1999)"},{"year":1999,"text":"Snail Mail, American singer-songwriter","url":"https://en.wikipedia.org/wiki/Snail_Mail_(musician)"},{"year":1998,"text":"Karman Thandi, Indian tennis player","url":"https://en.wikipedia.org/wiki/Karman_Thandi"},{"year":1995,"text":"Euan Aitken, Australian rugby league player","url":"https://en.wikipedia.org/wiki/Euan_Aitken"}],"deaths":[{"year":2026,"text":"Daveigh Chase, American actress (born 1990)","url":"https://en.wikipedia.org/wiki/Daveigh_Chase"},{"year":2025,"text":"Kim Woodburn, English television personality and expert cleaner (born 1942)","url":"https://en.wikipedia.org/wiki/Kim_Woodburn"},{"year":2024,"text":"Ludwig Adamovich Jr., Austrian constitutional scholar (born 1932)","url":"https://en.wikipedia.org/wiki/Ludwig_Adamovich_Jr."},{"year":2024,"text":"Barbara Gladstone, American art dealer and film producer (born 1934)","url":"https://en.wikipedia.org/wiki/Barbara_Gladstone"},{"year":2023,"text":"Gino Mäder, Swiss cyclist (born 1997)","url":"https://en.wikipedia.org/wiki/Gino_M%C3%A4der"},{"year":2022,"text":"Tyler Sanders, American actor (born 2004)","url":"https://en.wikipedia.org/wiki/Tyler_Sanders"},{"year":2021,"text":"Frank Bonner, American actor and television director (born 1942)","url":"https://en.wikipedia.org/wiki/Frank_Bonner"},{"year":2020,"text":"Eduardo Cojuangco Jr., Filipino businessman and politician (born 1935)","url":"https://en.wikipedia.org/wiki/Danding_Cojuangco"}]},"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."}