Record 29102026 · captured 2026-10-30
The world looked up 2026 Israeli legislative election. 30 tracked subjects, 25 discussions, 25 papers. This record is frozen and will not change.
Complete record JSON
What the most people looked up, ranked by Wikipedia pageviews for that day.
2026 Israeli legislative election
Legislative elections were held in Israel on 27 October 2026 to elect the 120 members of the 26th Knesset and determine the governing coalition that succeeds the 37th government led by Prime Minister Benjamin Netanyahu.
Susan Saint James was an American actress. In 1968, she landed a role as Peggy Maxwell on the TV series The Name of the Game. Saint James received three Emmy Award nominations for the series, winning once in 1969. She is also known for her appearances as Sally
Gadi Eisenkot, also spelled Eizenkot, is an Israeli general, politician, and leader of the Yashar party. He served from 2015 to 2019 as the 21st chief of staff of the Israel Defense Forces (IDF) and from 2023 to 2024 as a minister without portfolio in Israel's
Dancing with the Stars (American TV series) season 35
Season thirty-five of Dancing with the Stars premiered on ABC and Disney+ on September 15, 2026, and is scheduled to conclude on November 24, 2026. This season was the fourth to air live on both networks simultaneously. Season nineteen champion Alfonso Ribeiro
Elizabeth Anne Holmes is an American businesswoman convicted of fraud in connection with her health technology company Theranos. Holmes founded Theranos in 2003, and its valuation soared in the early 2010s after it claimed to have revolutionized blood testing
Theodore Robert Bundy, also known by the alias Chris Hagen, was an American serial killer who kidnapped, raped and murdered dozens of young women and girls between 1974 and 1978. His modus operandi typically consisted of convincing his target that he was in ne
The following notable deaths occurred in 2026. Names are reported under the date of death, in alphabetical order. A typical entry reports information in the following sequence:Name, age, country of citizenship at birth, subsequent nationality, what subject was
VisionQuest is an American television miniseries created by Terry Matalas for the streaming service Disney+, based on Marvel Comics featuring the character Vision. A spin-off from and sequel to the miniseries WandaVision (2021), it is the 18th television serie
Limonene is a slightly yellow-green liquid aliphatic hydrocarbon classified as a cyclic monoterpene, and is the major component in the fragrance and essential oil of citrus fruit peels, taking its name from Italian limone 'lemon'.
Jailer 2 is a 2026 Indian Tamil-language action comedy film written and directed by Nelson Dilipkumar. It was produced by Kalanithi Maran through Sun Pictures. A sequel to Jailer (2023), the film stars Rajinikanth, Ramya Krishnan, Yogi Babu, Mirnaa and Rithvik
2022 Israeli legislative election
Legislative elections were held in Israel on 1 November 2022 to elect the 120 members of the 25th Knesset. The results saw the right-wing national camp of former prime minister Benjamin Netanyahu win a parliamentary majority, amid losses for left-wing and Arab
Matthew Langford Perry was an American and Canadian actor. Known primarily for his work in comedy, he gained international fame for starring as Chandler Bing on the NBC television sitcom Friends (1994–2004), receiving his first Primetime Emmy Award nomination
Lampreys are a group of jawless fish composing the order Petromyzontiformes, sole order in the class Petromyzontida. The adult lamprey is characterized by a toothed, funnel-like, sucking mouth. The common name "lamprey" is probably derived from Latin lampetra,
Yashar, stylized as Yashar! with Eisenkot, is a centrist political party in Israel led by Gadi Eisenkot. Founded in September 2025 by Eisenkot, the former Chief of Staff of the Israel Defense Forces and National Unity Knesset member, the party contested the 20
Benjamin "Bibi" Netanyahu is an Israeli politician and diplomat who has served as prime minister of Israel since 2022. Having previously held office from 1996 to 1999 and from 2009 to 2021, Netanyahu is Israel's longest-serving prime minister.
The Joint List is a political alliance of Arab-majority political parties in Israel. It was formed by Hadash, Balad, Ra'am and Ta'al ahead of the 2015 election.
Cooper Wickham Pratt is an American professional baseball shortstop for the Milwaukee Brewers of Major League Baseball (MLB). He made his MLB debut in 2026.
Flávio Nantes Bolsonaro is a Brazilian lawyer and conservative politician serving as a senator for Rio de Janeiro since 2019. A son of the 38th president of Brazil, Jair Bolsonaro, he is affiliated with the Liberal Party (PL). He previously served as a state d
You Can See Everything is a 2026 American metadocumentary film directed by Nathan Fielder and Lance Oppenheim. It follows Elizabeth Holmes, the founder of the defunct health technology company Theranos, and her partner Billy Evans, who invited a film crew to d
Neatsville is an unincorporated community in Adair County, located in the U.S. state of Kentucky. It is located at the junction of Kentucky Route 206 and Kentucky Route 76. Its elevation is 705 feet (215 m). For unknown reasons, the town's name was spelled as
Clayface is a 2026 American body horror film based on the eponymous character from DC Comics. Directed by James Watkins from a screenplay by Mike Flanagan and Hossein Amini, it is the third film in the DC Universe (DCU). Tom Rhys Harries stars as Matt Hagen /
Alexander brothers (sex offenders)
Twin brothers Oren Alexander and Alon Alexander, and their older brother Tal Alexander, are American businessmen and convicted sex offenders. Tal and Oren were luxury real estate brokers based in Miami and New York City, while Alon was an executive at his fami
Jair Messias Bolsonaro is a Brazilian politician and former military officer who served as the 38th president of Brazil from 2019 to 2023. He previously served as a member of the Chamber of Deputies from 1991 to 2019.
Fleetwood Town Football Club is a professional association football club based in Fleetwood, Lancashire, England. The team competes in EFL League Two, the fourth level of the English football league system.
Luiz Inácio Lula da Silva, known mononymously as Lula, is a Brazilian politician, trade unionist, and former metalworker who has served as the 39th president of Brazil since 2023. A member of the Workers' Party, he served as the 35th president from 2003 to 201
Harry Edward Kane is an English professional footballer who plays as a striker for Bundesliga club Bayern Munich and captains the England national team. Known for his clinical finishing, passing, vision and tactical versatility, he is widely regarded as one of
Onika Tanya Maraj-Petty, known professionally as Nicki Minaj, is a Trinidadian rapper, singer, and songwriter. Regarded as the "Queen of Rap" and one of the most influential rappers of all time, she is noted for her dynamic rap flow, witty lyrics, musical vers
Ansel Easton Adams was an American landscape photographer and environmentalist known for his black-and-white images of the American West. He helped found Group f/64, an association of photographers advocating "pure" photography which favored sharp focus and th
The United Arab List, commonly known by its Hebrew abbreviation Ra'am, is a conservative political party in Israel with Islamist roots. In 2021 it joined the thirty-sixth government. It is currently led by Mansour Abbas.
On 28 October 2026 at 08:54 CET(UTC+01:00), an AVE high-speed train collided with a stationary Iryo high-speed train in Los Yébenes, Toledo, on the Madrid–Seville high-speed rail line, killing at least 69 people. The crash was the second major train disaster i
What the people building things argued about, from Hacker News.
Papers submitted to arXiv cs.AI that day.
Rethinking Neural Thickets Without Weight Perturbations
The Neural Thickets hypothesis posits that pretrained language models lie in dense neighborhoods of task-specific experts in weight space, which random Gaussian perturbations can uncover. We reproduce the reported gains, but show that they do not require this geometric explanation. Perturbing a single decoder block already recovers much of the improvement, while keeping the model entirely frozen and adding a random b
Read, Allocate, Route: Role-Coupled Tokenization for Pixel-Space Generative Transformers
Pixel-space generative Transformers typically use one token per image patch, so capturing finer detail requires more tokens and makes global attention increasingly expensive. We observe that finer detail does not necessarily require more global communication: low-frequency structure benefits from global exchange, while high-frequency detail can be modeled locally. Based on this insight, we introduce SpecSlot, a pixel
Luggage re-identification: A study of strategies towards a real-world application
Luggage re-identification (ReID) is a critical task in video surveillance for forensics, security or border management (suspicious or abandoned luggage recognition), as well as luggage management (lost luggage recovery). It enables the association of observations of the same luggage across disjoint camera views in complex environments such as airports, train stations and border crossing. While existing approaches pri
From extreme weather to agricultural consequences with agentic AI
Extreme weather is forecast days ahead, yet its consequences for agriculture remain hard to predict: a forecast says where a storm will strike, not which crops will suffer or how much is at risk, and the records that could tell span many sources. We present WxCrop, the first agent that judges agricultural hazards from physically interpretable weather indices examined by causal analysis, and the first that combines we
Probing Spatial State Representations in Visual Foundation Models
An observer sees only part of the surrounding world, yet must keep track of what lies beyond the current view. Spatial perception therefore involves more than recognizing individual images: it calls for a persistent spatial state that is updated under self-motion and used to guide action. Do visual foundation models provide representations that support such a state? We study this question through four levels of spati
TextSeal2: Distortion-Free LLM Watermarking with Copula Mixing and Memoryless Races
We present TextSeal2, a distortion-free watermark for large language models that keeps its signal under speculative decoding: tokens that replace rejected drafts remain watermarked with the same keys, and the acceptance rate is unchanged. It also preserves output diversity and adds no measurable inference latency. Its predecessor, TextSeal, restores diversity in the Gumbel-max scheme by routing each token to one of t
Proactive assistants offer short, memory-grounded hints during a conversation, deciding when to assist and what to suggest. Current systems split this between a gate and a larger generator; we evaluate both together on 28,058 decision points. Stage-wise generation scores are oracle-gate ceilings: behind a real gate, end-to-end exact match is 0.2619 against a ceiling of 0.2971, and end-to-end precision is 0.2387, leav
Collaborative AI agents for autonomous experimental research with solid-state quantum spins
An autonomous research laboratory could conduct an entire study, from formulating questions to preparing manuscripts. Artificial intelligence (AI) offers one route towards this goal. Recent AI systems take on several research roles, but may draw conclusions that the evidence does not support. Here, we present an autonomous research laboratory in which agents based on large language models assess one another's work an
Pre-Crime for Agents, at the Last Second: Probing When a Recruited Agent Gives In
When AI agents share channels and credentials, one agent can press another to break its operator's rule, a first step towards collusion. Output filters check only what an agent has already written. Can an overseer tell beforehand that an agent is about to give in? We show that a linear probe on the agent's activations can, in a controlled multi-agent setting. Across six scenarios, a peer presses a target for up to 20
Multistatic ISAC with Deep Learning-Based Clutter Suppression for 5G and Beyond
Integrated sensing and communications (ISAC) systems using 5G and beyond signals of opportunity enable joint wireless sensing and communication using shared infrastructure and spectrum resources. While multistatic ISAC can increase sensing coverage with spatially distributed receivers, dense and dynamic clutter can significantly degrade bistatic range and Doppler estimation, leading to errors in target localization a
VeriCUA: Verification as Agentic Exploration for Computer-Using Agents
Building and scaling computer-using agents (CUAs) across desktop, mobile, and web environments requires reliable task-completion verification for data curation, evaluation, and reinforcement learning. Typical automated approaches prompt vision-language models (VLMs) to judge trajectories or generate programs to inspect application state. However, both rely on partial views of complex digital environments. VLM judges
Gym-Anything for Robotics: Scaling physical simulations with digital agents
Realistic, fast robotics simulations could enable large-scale training of embodied AI models that transfer to the real world. However, despite decades of progress, available simulations cover only a narrow range of real-world tasks and physical phenomena. The core bottleneck is that creating better simulations requires significant expert effort and therefore does not scale. To address this, we introduce Gym-Anything
This study investigates the capabilities of Large Language Models to simulate counselling clients in educational role-plays in comparison to human role-players. Initially, we recorded role-playing sessions, where novice counsellors interacted with human peers acting as clients, followed by role-plays between humans and clients simulated by Mistrals Mixtral 8x7b using 4-bit quantization. These interactions were analys
FARMS: A Verifiable Foundation for Automated Computational Science
Automated computational science could accelerate discovery by selecting, adapting and developing numerical methods. This prospect requires mathematical knowledge that AI systems can interpret and reuse with explicit guarantees. Here we present FARMS, a faithful and efficient foundation that transforms computational mathematics into AI-ready computing knowledge. FARMS connects formal statements to source context, algo
Advancing Clinical Genomic Analysis with a Skill-Centred Agent
Clinical genomic analysis requires experts to integrate evolving guidelines, databases, and computational evidence. As sequencing has become increasingly accessible, this complex and labor-intensive process has become a major bottleneck to the timely use of genomic information in clinical decision-making. To fill this gap, we developed ClinGeX, a large-language-model agent that composes 105 curated executable skills
Ramanujan Challenge Results: AI-Assisted Evaluation Pipeline for Multi-Format Proofs
As AI's mathematical capabilities rapidly improve, meaningful benchmarks are shifting from university-level problems and math olympiads to research-level mathematics. The Ramanujan Challenge is a benchmark comprised of research-level problems in number theory, including unpublished results and open conjectures. It presented concrete formulas for mathematical constants whose correctness can be checked numerically, whi
Retrieval as Traversal: Value-Indexed Memory for Stateful Long-Context Agents
Long-context models repeatedly solve closely related retrieval problems. Attention or global retrieval can retain large stores, but each forward pass again searches for what matters. Recurrent compression avoids this search only by deciding earlier what information to preserve. Neither mechanism directly exploits that useful memories at neighbouring retrieval steps may substantially overlap. We propose an alternative
On the Fundamental Limits of Prefill-Based Decoding Length Prediction
Predicting how many tokens a large language model (LLM) will decode, using only prefill-phase hidden states, is a key primitive for inference scheduling. We show that current benchmarks conflate predictor quality with task hardness: when the target model, dataset, or sampling configuration changes, reported accuracy collapses even though the predictor is unchanged. We trace this instability to an overlooked error sou
Efficient Scalable Oversight via Rewinding
Scalable oversight asks how a weak verifier can check the outputs of computations performed by more powerful AI systems. One proposed approach uses relativizing interactive proofs, in which a weak verifier checks the output of a complex oracle-aided computation by interacting with one or more powerful provers. A prominent example is debate, which is highly efficient but assumes that one of two powerful AI models, or
BURGER: Benchmarking and Understanding Robotic Generalization via Embodied Drawing
How effectively can vision-language-action (VLA) models learn diverse language-conditioned behaviors as training data scales? Investigating this question requires large and varied robot datasets, whose collection on physical robots remains costly. We introduce BURGER, a language-conditioned robotic drawing benchmark with a scalable, prompt-driven pipeline for generating continuous drawing trajectories, both in simula
How I Aligned Your Model: Scaling Up Multilingual Safety Training with Templates
Safety alignment for Large Language Models is heavily focused on English with limited multilingual representation, particularly damaging low-resource language performance. Related open training datasets are often limited in size or do not follow region-localized harmful topics to broaden the scope of alignment beyond cultures. We propose a scalable template-based augmentation pipeline to produce massive multilingual
Algebraic World Model: From Exploration to Proofs
AI has made remarkable progress in mathematics, solving challenging problems with machine-checkable proofs in Lean, yet typically relying on predefined mathematical definitions and formal specifications. This raises a natural question: can it reason rigorously about an unknown world? We introduce the Algebraic World Model (AWM), a framework that turns interaction with unfamiliar environments into explicit mathematica
AI in the EGI e-infrastructure -- Past experiences and future strategies
The EGI Federation has provided federated e-infrastructure services to European and global science for over 15 years. We review EGI's early experiences with AI in the interTwin and iMagine Horizon Europe projects, which built digital twins in physics and environmental sciences and an image-analysis platform for aquatic research. We then examine how the AI landscape has changed since 2023 and argue that the focus of A
Agentic University: Collaborative Agents for Personalized Learning
Large language models support personalized tutoring, content generation, and adaptive learning paths. However, capability development requires these resources and interactions to form a coherent learning process that evolves with the learner. A central challenge is to align goals, activities, and assessment while using learning evidence to decide what should follow. We introduce Human-Participatory Multi-Agent Organi
Fast and accurate neural triage decoding of ultra-high-rate quantum LDPC codes
Quantum error correction is essential for fault-tolerant quantum computing. High-rate quantum low-density parity-check (qLDPC) codes have emerged as a promising approach to reducing the substantial physical qubit overhead of quantum error correction, enabling encoding rates exceeding $1/2$ in blocks of approximately one thousand physical data qubits. However, their practical implementation requires decoders that comb
Origins publishing files written for machines rather than people. Measured against a frozen cohort, so a change in the number means a change in adoption.
| Signal | Web head Tranco top 1,000 n=1,000 | Web tail sampled to rank 100k n=1,000 | AI-native model & dev platforms n=110 |
|---|---|---|---|
| Any agent-facing signal | 13.5% (135) | 6% (60) | 75.45% (83) |
| llms.txt (apex domain) | 11.3% (113) | 5.1% (51) | 61.82% (68) |
| llms.txt (docs subdomain) | 4.2% (42) | 1.1% (11) | 46.36% (51) |
| .well-known/mcp.json | 0.5% (5) | 0.3% (3) | 9.09% (10) |
| .well-known/agents.txt | 0.3% (3) | 0.1% (1) | 0% (0) |
| ai.txt | 0.3% (3) | 0.1% (1) | 0% (0) |
| ai-plugin.json (deprecated) | 0.7% (7) | 0.3% (3) | 0.91% (1) |
Notable events recorded on this day and month across all years.