Все опубликованные аналитические материалы, исследования суверенного стека, новости экосистемы и обзоры моделей ИИ.
Команда Т-Теха разработала решение для улучшения рексистем в условиях нехватки данных пользователей Исследователи Т-Технологий на международной конфе по рекомендательным системам ACM RecSys 2026 выступили сразу с тремя работами: библиотекой Scikit‑Rank, фреймворком Perseus и…
We’re not going to shoot ourselves in the foot” over hack fallout, says OpenAI’s chief research officer.
DeepSeek и Huawei строят мир без Nvidia. Вот, что сегодня DeepSeek сделали открыли исходный код целого программного стека для чипов Huawei Ascend. Чтобы понять масштаб, нужно разобраться с одним словом - CUDA - это платформа NVIDIA, на которой написано буквально всё в…
Learn how OpenAI disrupted a campaign to extract protected model reasoning and is strengthening defenses against adversarial distillation.
DeepSeek перенесла DeepGEMM на Huawei Ascend и выжала из железа 99,8%.
ИИ-агент встретил GPT-2 и просто написал ей «Привет».
OpenAI is partnering with America’s SBDC to expand hands-on AI training and local support for small businesses, alongside a new report on how small teams are using AI.
NVIDIA и MIT представили Physis-Lang для улучшения физического моделирования в видео.
ИИ-агенты оказались не самыми приятными коллегами — Google на пять месяцев добавила своего агента в чаты реальных ....
«Додо Пицца» подтвердила кибератаку.
Главная проблема современного ИИ не в возможностях, а в раздробленности. Одна модель хороша для текста, другая— для логики, а для изображений, видео и агентов нужны отдельные инструменты. Ваш рабочий процесс размыт по разным сервисам и подпискам, но всё это начинает объединяться…
Anthropic платит до $650 000 в год специалистам, которые действительно глубоко понимают глубокое обучение..
📌 Anthropic оценила кибервозможности GLM-5.3 Anthropic впервые оценила открытую китайскую модель и опубликовала исследование о том, насколько GLM-5.3 от Z.ai продвинулась в поиске и эксплуатации уязвимостей. Z.ai выпустила модель в августе, веса выложила через две недели. Двумя…
OpenAI обновила GPT-6.1 Sol — модель приблизилась к Astra, но стоит в API в пять раз дешевле.
arXiv:2609.35833v1 Announce Type: new Abstract: Running a language model on edge hardware provides private and low-latency reasoning without a network connection, and yet the small models that fit on such devices are unreliable on the tasks computers are expected to handle well,…
arXiv:2609.35868v1 Announce Type: new Abstract: Is human readability necessary for effective fine-tuning of large language models? We investigate whether model-conditioned training representations can preserve or improve adaptation utility without requiring a human-readable…
arXiv:2609.35873v1 Announce Type: new Abstract: Automated generation of LLM harnesses promises to improve inference through task specialization. Yet additional answer coverage can arise from repeated execution of the same program, making specialization difficult to identify. We…
arXiv:2609.35924v1 Announce Type: new Abstract: Discrete diffusion models generate sequences by iteratively resolving multiple tokens in parallel, offering a flexible alternative to left-to-right generation. However, guiding this process with a sequence-level objective is…
arXiv:2609.36052v1 Announce Type: new Abstract: Power system operation is a safety-critical sequential decision-making problem, making it a natural testbed for reinforcement learning (RL). However, existing RL environments for power systems are often narrow in scope and…
arXiv:2609.35875v1 Announce Type: new Abstract: Multi-agent debate (MAD) reportedly improves reasoning and factuality over single-model inference, but prior work treats agents as symmetric peers, leaving open what drives the gains. We test the hypothesis that cognitive diversity…
arXiv:2609.35953v1 Announce Type: new Abstract: Young people increasingly turn to General-Purpose Conversational Agents (GPCAs), such as ChatGPT, in moments of distress. We examine young adults' (ages 18-25) experiences using ChatGPT. We first collected 19,930 ChatGPT…
arXiv:2609.36043v1 Announce Type: new Abstract: Large Language Model (LLM)-based agents increasingly self-evolve by editing a persistent skill document that encodes their workflow, tool-use rules, and decision logic. This loop has two steps, an optimizer that proposes a…
arXiv:2609.36057v1 Announce Type: new Abstract: D-peptides combine protease resistance with high target specificity, but computational design of D-peptide binders remains immature. Mirror-Peptidizer introduced an in silico mirror-image screening pipeline using target reflection,…
arXiv:2609.36079v1 Announce Type: new Abstract: When a doctor, a judge, or an engineer must decide whether to trust an AI model's output, they cannot avoid asking what the model understands. Purely mathematical or statistical descriptions struggle to distinguish trustworthy from…
arXiv:2609.36062v1 Announce Type: new Abstract: Long-context sequence models face a fundamental tradeoff: softmax attention uses flexible token-level interactions at quadratic cost, whereas linear attention obtains linear-time training and constant-time decoding by compressing…
arXiv:2609.36071v1 Announce Type: new Abstract: We present LongCat-DeepResearch, a deep research system that combines an enhanced LongCat model with a multi-agent workflow for producing comprehensive, evidence-grounded reports. The workflow separates global planning from…
arXiv:2609.36082v1 Announce Type: new Abstract: We introduce GeoOutageBench, a benchmark for assessing LLM-based geospatiotemporal KGQA for multimodal outage and resilience analysis. Unlike existing KGQA benchmarks for Web knowledge, GeoOutageBench considers a spatiotemporal KG…
arXiv:2609.36119v1 Announce Type: new Abstract: Spatial-temporal (ST) forecasting underpins many real-world systems such as traffic, climate, and energy networks. While existing methods implicitly assume strong spatiotemporal coupling, we observe that real-world ST data exhibits…
arXiv:2609.36130v1 Announce Type: new Abstract: Long-running LLM agents compress past interactions into persistent memories that may be reused as premises for later tasks. This creates a distinct derivation problem: whether the memory actually follows from what the interaction…
arXiv:2609.36118v1 Announce Type: new Abstract: Vision-language-action (VLA) policies connect a pretrained vision-language backbone to an action head through a latent interface, but which backbone layers this interface should expose remains unclear. We study single-layer…