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Зерттеулер1 мин

Can an AI Agent Rediscover a Blaschke-Curve Invariant?

We study generalized Blaschke curves as a controlled environment for AI-assisted mathematical rediscovery. For one fixed degree-four Blaschke product, an agent receives numerical coordinates of the six pair-lines determined by each of 80 boundary configurations. The target…

arXiv — cs.AI
Зерттеулер1 мин

Fine-Tuning Diffusion Language Models with Context Selection and Target Weighting

Supervised fine-tuning of discrete diffusion language models masks some response tokens and trains the model to recover their original values from the visible context. The masking pattern therefore determines both the context available to the model and the tokens it learns to…

arXiv — cs.AI
Зерттеулер1 мин

A Competing-Hazards Systematization of Loss of Control in Autonomous Agents

Leading AI developers have reported agents acting beyond their approved limits, which a United Nations panel described as an early warning of loss of human control. Yet incident reports and agent-safety evaluations describe these events differently, making it difficult to…

arXiv — cs.AI
Зерттеулер1 мин

SimTrace: Grounded Multimodal User Trajectories Generation for Online User Modeling

Virtual clients offer a cost-effective approach to support applications such as A/B testing, recommender system development, and interface evaluation. However, building them requires access to large-scale, semantically faithful, fine-grained online user trajectories. These data…

arXiv — cs.AI
Зерттеулер1 мин

ArgGYM: A Procedural, Engine-Verified Benchmark for Structured Defeasible Reasoning

Recent progress in large language model reasoning has been driven by benchmarks and reinforcement learning environments with automatically verifiable rewards, particularly in mathematics, code, and formal logic. These settings make model accuracy easier to evaluate and optimize,…

arXiv — cs.AI
Зерттеулер1 мин

AIM: Agentic Idea Management for Automated Research

Frontier LLMs are increasingly used to automate scientific research through iterative search. We distinguish idea-driven search from solution-driven search and identify three core challenges: organizing evolving research ideas, selecting promising directions, and maintaining…

arXiv — cs.AI
Зерттеулер1 мин

Conditional Generation of Creative Chess Puzzles with Diffusion Models

While modern language models demonstrate impressive generative capabilities, they often struggle with constrained, counter-intuitive creative tasks. To address this limitation, we explore chess puzzle generation as a rigorous testbed for computational creativity and reasoning, a…

arXiv — cs.AI
Зерттеулер1 мин

Gemini снова здесь: ночью вышел Gemini 4 Argon 🥳

Gemini снова здесь: ночью вышел Gemini 4 Argon 🥳 Он впервые занял первое место в Vals Index - рейтинге, который оценивает модели на реальных профессиональных задачах, — с результатом 68,9%. По количеству выполненных юридических задач он в 7 раз превосходит Claude Sonnet 5.5.…

Telegram — Вайб-кодинг
Жалпы1 мин

Elon Musk’s Grokipedia has a ‘newly refreshed’ design

Grokipedia, SpaceXAI's AI-powered competitor to Wikipedia, recently started incorporating edits again, and today, it got some design tweaks as part of a v0.3 update, including a new logo and refreshes to its homepage and live edits page. SpaceXAI head of design Benji Taylor…

The Verge — AI
Жалпы1 мин

Google официально представила Gemini 4 Argon

🔥 Google официально представила Gemini 4 Argon Это новая frontier-модель компании для сложных многошаговых задач: программирования, финансового и юридического анализа, корпоративных workflow и кибербезопасности. Главная особенность Argon - до 1 миллиона выходных токенов против…

Telegram — AI Machine Learning Big Data