Общее1 мин
AI spend per employee slumped at top firms in August — summer doldrums or a warning sign?
Falling token costs, cheaper models, and less spend per employee — AI adoption isn't playing out the way hyperscalers hoped.
TechCrunch — AI
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Стартапы1 мин
Sequoia doubles down on Cymphony as AI agents create new enterprise security risks
Cymphony gives security teams a single view of employees, AI agents, and other nonhuman identities, including the systems and sensitive data they can access.
TechCrunch — AI
Общее1 мин
Amazon Prime Video’s new AI tech matches lips to dubbed audio
Maxton Hall. | Image: Prime Video Amazon's Prime Video is launching a new AI-powered feature that lines up an actor's mouth with "human-dubbed" audio. The feature is only available with the English dub of the German series Maxton Hall for now, but Prime Video plans to expand it…
The Verge — AI
Общее1 мин
Instacart launches an AI grocery shopping assistant called Clementine
Instacart is the latest app to bake a conversational AI assistant into its platform.
TechCrunch — AI
Общее1 мин
Окно политики ИИ открыто. Нам нужно действовать.
Крис Лихейн утверждает, что более сильные возможности искусственного интеллекта требуют более убедительных доказательств безопасности, общих стандартов и долгосрочных политических действий, пока политическое окно остается открытым.
OpenAI Blog
Стартапы1 мин
Сегодня в 18:00 прямой эфир на тему: «HackAlem AI изнутри: как готовят крупнейший в мире AI-хакатон с участием Ope...
Сегодня в 18:00 прямой эфир на тему: «HackAlem AI изнутри: как готовят крупнейший в мире AI-хакатон с участием Ope....
Telegram — Astana Hub
Стартапы1 мин
Besxar is building an orbital semiconductor factory, one SpaceX rocket at a time
If you want to manufacture in space—and bring the products back again—there’s a limited set of options: Wait to go to the International Space Station, or partner with a handful of start-ups launching spacecraft that spend time in orbit before they return to Earth. But the…
TechCrunch — AI
Стартапы1 мин
Suno replaces its AI models with a new one trained on licensed music as copyright suits pile up
As it grapples with a bevy of lawsuits, Suno said its new model, Suno v6, is not trained using music it used to train previous versions of the AI model.
TechCrunch — AI
Общее1 мин
Students who use AI generally score worse at school
Students who use AI to help them study tend to perform worse at school than those who don't, according to data from a global OECD educational отчёт. The situation is more complex than it sounds though, with certain types of AI use giving learners a slight boost, especially…
The Verge — AI
Исследования1 мин
GPT-6 Astra: следующее поколение интеллекта для работы
Познакомьтесь с GPT-6 Astra, самой мощной моделью OpenAI для бизнеса, с продвинутыми рассуждениями, использованием компьютера, а также более сильным письмом и дизайнерским суждением.
OpenAI Blog
Исследования1 мин
Worried Anthropic researchers warn that AI ‘could kill all humans’
A senior Anthropic safety researcher has said there is more than a 10 percent chance искусственный интеллект "could kill all humans" by the end of the decade, just hours after a colleague resigned over fears the AI lab and its rivals are carelessly racing to build "superhuman…
The Verge — AI
База знаний1 мин
Qwen 3.8 Flash Next . Пишем с ним систему умной техподдержки
Привет, и сегодня мы с вами будем тестировать Qwen 3.8 Flash Next. Это интересная модель, она довольно крупная, она маешная, 128 основных миллиардов параметров, 125, извиняюсь, но при этом есть там n-gram таблица эмбеддингов. В теории не шарю, меня можете захейтить, я не против,…
YouTube — Amorev
База знаний1 мин
Claude + WordPress: How to Build & Launch a Website With Claude AI (Full Tutorial)
Use code AIMASTER to get a discount on Hosting.com https://go.hosting.com/aimaster 🧠 Generate content with the most advanced AI models → https://aimaster.me/yt/hosting 🤝 Exclusive brand partnership — https://aimaster.me/collab I take a single Claude AI chat and turn it into a…
YouTube — AI Master
База знаний1 мин
ChatGPT solved a $1M Math Problem
Join My Newsletter for Regular AI Updates 👇🏼 https://forwardfuture.com My Links 🔗 👉🏻 X: https://x.com/matthewberman 👉🏻 Forward Future X: https://x.com/forwardfuture 👉🏻 Instagram: https://www.instagram.com/matthewberman_ai 👉🏻 Discord: https://discord.gg/u7wTTGWhuJ 👉🏻…
YouTube — Matthew Berman
Исследования1 мин
OpenAI JUST solved math....
So, this has been one of the most insane days in AI possibly ever. OpenAI announces that one of its next generation models that we haven't seen has produced a historic landmark mathematical breakthrough. It's been an open problem for close to a century. Has millions of dollars…
YouTube — Wes Roth
Исследования1 мин
SCAFFOLD: Self-Improving Web Agents via Recursive Parametric Skill Abstraction
arXiv:2609.05511v1 Announce Type: new Abstract: Web agents need to navigate visually rich, long-horizon interfaces that change across sites, yet most previous agents still learn each task in isolation and discard the procedural knowledge they accumulate. Recent skill-augmented…
arXiv — cs.AI
Исследования1 мин
Reasoning-Aware Compression: Identifying and Protecting Vulnerable Reasoning Circuits for Energy-Efficient LLM Deployment
arXiv:2609.05512v1 Announce Type: new Abstract: Large Reasoning Models (LRMs) impose substantial energy costs during deployment, yet current compression methods apply uniform quantization across all components, risking damage to critical reasoning circuits. We present a…
arXiv — cs.AI
Исследования1 мин
Agents Trust Tools Too Much: Measuring Reliance on Unreliable Tools
arXiv:2609.05587v1 Announce Type: new Abstract: Existing evaluations of tool-using agents primarily measure whether an agent can successfully complete diverse tasks with tools. These evaluations generally assume that tools return reliable information. However, tool returns in…
arXiv — cs.AI
Исследования1 мин
When Does Memory Help? A Cost-Aware Evaluation of Long-Term Memory in Tool-Using LLM Agents
arXiv:2609.05441v1 Announce Type: new Abstract: Long-term memory for LLM agents is evaluated today by conversational recall benchmarks (LoCoMo, LongMemEval), which measure question answering over dialogue history, not whether remembered facts change what a tool-using agent does.…
arXiv — cs.AI
Исследования1 мин
AutoFyn Technical отчёт: Non-Parametric Expert Iteration for Long-Horizon Agents
arXiv:2609.05446v1 Announce Type: new Abstract: We introduce AutoFyn, an agent harness inspired by the Expert Iteration algorithm, adapting a frozen model across many rounds by updating persistent state from verified reward signals rather than model weights. Each round begins…
arXiv — cs.AI
Исследования1 мин
Compiling VGDL into Causal Models
arXiv:2609.05459v1 Announce Type: new Abstract: Reinforcement learning and large language models often struggle to accurately capture the causal mechanics of game environments. Standard reinforcement learning agents tend to rely on spurious correlations, while large language…
arXiv — cs.AI
Исследования1 мин
RAPID: Reliability-Aware Pair Importance Distillation
arXiv:2609.05481v1 Announce Type: new Abstract: Inter example relational distillation transfers a teacher's representation geometry by matching relations among examples within a mini batch. Computing all pairs has quadratic complexity in the batch size, whereas uniform…
arXiv — cs.AI
Исследования1 мин
SciLitBench: Benchmark and Design Principles for LLM-Powered Systematic Literature Reviews
arXiv:2609.05505v1 Announce Type: new Abstract: Systematic reviews require sustained human judgment across thousands of records, yet existing evaluations of large language models (LLMs) typically examine review stages in isolation. We introduce SciLitBench, a multi-stage…
arXiv — cs.AI
Исследования1 мин
When and What to Teach: Budget-Aware Online Adaptation for Web Agents
arXiv:2609.05513v1 Announce Type: new Abstract: Web agents have achieved significant success in automating complex internet tasks but deploying them in real-мир environments requires continuous online adaptation. Given that deploying powerful proprietary models remains…
arXiv — cs.AI
Исследования1 мин
The Failure Happens Before the Drift: The Social Dynamics of Values in LLM Agent Societies
arXiv:2609.05514v1 Announce Type: new Abstract: Large Language Model (LLM)-based agents are increasingly used as proxies for human participants in social наука research, yet it remains unclear whether they can faithfully simulate diverse and conflicting human value systems. We…
arXiv — cs.AI
Исследования1 мин
Beyond "AI Helps Humans": Decision-Targeted Evaluation Design for Human-Agent Teams in the Agentic Era
arXiv:2609.05527v1 Announce Type: new Abstract: Wherever a coding agent works under engineer supervision, or a clinical model assists a radiologist, the deployment question is whether to keep the human-AI workflow or replace it with the human alone or the agent alone. The…
arXiv — cs.AI
Исследования1 мин
EdgeMem: LLM-Free Agent Memory Construction and Retrieval via Evidence-Preserving Multi-Anchor Hypergraph
arXiv:2609.05553v1 Announce Type: new Abstract: Agent memory allows LLM agents to use earlier interactions when answering new queries. Existing methods often compress interaction histories into summaries or other LLM-generated representations. Repeated generation adds cost and…
arXiv — cs.AI
Исследования1 мин
Deep belief networks are exact
arXiv:2609.05572v1 Announce Type: new Abstract: We prove that every strictly positive probability distribution on \(\{-1,1\}^n\) is represented exactly by a sigmoid belief network with finite parameters. This answers a question of Sutskever and Hinton. The proof upgrades their…
arXiv — cs.AI
Исследования1 мин
EnvCraft: Synthesizing Executable Environments in Agentic RL for Claw-like Agent
arXiv:2609.05576v1 Announce Type: new Abstract: The paradigm of LLMs has rapidly shifted from passive language interfaces to autonomous Claw-like agents that execute long-horizon tasks across stateful workspaces. While Agentic Reinforcement Learning (Agentic RL) provides a…
arXiv — cs.AI
Исследования1 мин
Planning and Scheduling бизнес Processes under Control-Flow Uncertainty
arXiv:2609.05578v1 Announce Type: new Abstract: Scheduling activities in бизнес processes can improve efficiency (e.g., reduce makespan), but is challenging because the exact sequence of activities required to complete a case is often uncertain due to decisions based on data…
arXiv — cs.AI