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Research1 мин

ПОЛГОДА ДО КАТАСТРОФЫ! OpenAI Закупает БУНКЕРЫ! Anthropic и OpenAI Ожидают КИБЕРХАОС!2027 это Конец

Всем привет. В этом выпуске самые главные свежие новости об искусственном интеллекте и технологиях. OpenAI и Anthropic готовятся к масштабной и катастрофе в 2027 году. Более 1100 сотрудников и компаний призвали замедлить развитие нейросетей. Почему миллиардеры Кремниевой долины…

YouTube — AI Flash News
Research1 мин

Now the new model from Google Gemini 4 Argon is available to everyone, well, almost: who has an Ultra/pro subscription

Now the new model from Google Gemini 4 Argon is available to everyone, well, almost: who has a subscription to Ultra/pro Argon - this is Google’s answer to Fable from Anthropic, GPT-6 Astra, it was released back on September 30, but for a narrow circle of users. According to Argon’s positioning and target objectives...

Telegram — blockchainRF (блокчейн / мозг / space / WEB 3.0)
Research1 мин

Gemini 4 Argon for Robotics

Discover Gemini 4 Argon for robotics: leading the ERQA benchmark with physical reasoning, zero-shot control, Real2Sim, and agentic workflows.

Google DeepMind Blog
Research1 мин

Gemini 4 Argon for Robotics

Discover Gemini 4 Argon for robotics: leading the ERQA benchmark with physical reasoning, zero-shot control, Real2Sim, and agentic workflows.

Google DeepMind Blog
Startups1 мин

Газпромбанк ищет решения от научных команд в финтех-акселератор

Газпромбанк ищет решения от научных команд в финтех-акселератор Трек «Финтех.Наука» рассчитан на исследователей из вузов, НИИ и R&D-центров, у которых есть научный задел в IT и желание довести его до продакшена в банке. Готовый прототип не обязателен. К научной экспертизе…

Telegram — Вайб-кодинг
Research1 мин

ChatGPT изменился НАВСЕГДА — что такое Intelligent UI?

ChatGPT изменился НАВСЕГДА — что такое Intelligent UI? Надоело получать от ChatGPT километры текста и куски кода, которые ещё нужно куда-то копировать и запускать? Теперь нейросеть может создавать полноценные интерактивные инструменты прямо внутри диалога! OpenAI представила…

Telegram — Paragon | Нейросети и ИИ
Research1 мин

The Download: open model trade-offs and geothermal power’s promise

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Open models have real benefits. Do they outweigh the risks? Anthropic recently released a report arguing that a powerful new model released…

MIT Technology Review
Research1 мин

Open models have real benefits. Do they outweigh the risks?

MIT Technology Review Explains: Let our writers untangle the complex, messy world of science and technology to help you understand what’s coming next. You can read more from the series here. Late last month, Anthropic released a report arguing that the model GLM-5.3 poses a…

MIT Technology Review
Research1 мин

OpenAI Just Changed What It Means To Do Math

Something is changing in the world of mathematics and science and it is changing fast. Open AAI just released hundreds of AI generated mathematical results including claims that would have sounded completely impossible just a few months ago. I've been scrolling so much here.…

YouTube — Two Minute Papers
Research1 мин

Anthropic blocked more than 11 million accounts in six months

✔️ Anthropic blocked more than 11 million accounts in six months In an updated transparency report, Anthropic reported that it blocked 11.4 million accounts in the first half of 2026. This is almost 8 times more than in the second half of 2025, when there were 1.45 million blockings...

Telegram — AI Machine Learning Big Data
Research1 мин

Meta releases its first frontier model, Muse Wonder

Where Muse Spark aimed to be a lightweight model that could perform at low latency, the Wonder models are larger and said to be more capable, with higher benchmark scores and better results on complex tasks like coding.

TechCrunch — AI
Research1 мин

Qwen introduced QwenGyre: training AI agents has become up to 1.85 times faster

🚀 Qwen introduced QwenGyre: training AI agents up to 1.85 times faster Modern agents can perform tasks for hours, generating hundreds of thousands of tokens. When training such systems, GPUs are often idle, and repeated trajectories waste computing resources. QwenGyre…

Telegram — AI Machine Learning Big Data