⚡ Anthropic купила газовые генераторы на $3,4 млрд По данным Financial Times, компания перехватила у OnePWR Solutions заказы на оборудование Caterpillar общей мощностью 1,7 ГВт. Что известно: • Сумма сделки составляет $3,4 млрд. • Это крупнейшая из известных разовых покупок генерирующего оборудования ИИ-лабораторией. • Сделку заключили в сентябре, а публичной она стала 8 ноября. Источник
Research1 min read
From the original source:
Telegram — GPT Time | Нейросети | ИИ
Read full article at Telegram — GPT Time | Нейросети | ИИAnthropic bought gas generators for $3.4 billion
⚡ Anthropic bought gas generators for $3.4 billion According to the Financial Times, the company intercepted orders for Caterpillar equipment with a total capacity of 1.7 GW from OnePWR Solutions. What is known: • The deal is worth $3.4 billion. • This is the largest known single purchase...
Telegram — GPT Time | Нейросети | ИИBy: GPT Time | Нейросети | ИИNovember 9, 2026 (1 hour ago)
Available in 4 languagesAI Summary & Key Takeaways
- ⚡ Anthropic bought gas generators for $3.4 billion According to the Financial Times, the company intercepted orders for Caterpillar equipment with a total capacity of 1.7 GW from OnePWR Solutions
- What is known: • The deal is worth $3.4 billion
- • This is the largest known single purchase...
Research
KZ·AI 8C97Инсайт дня
Anthropic bought gas generators for $3.4 billion
Full text available in Russian
Tags:#Anthropic
Related stories
Anthropic presented Claude Fable 5.2 and Mythos 5.2: 1000 AI agents formalized the proof of Fermat's theorem in 30...
Anthropic introduced Claude Fable 5.2 and Mythos 5.2: 1000 AI agents formalized the proof of Fermat's theorem in 30 hours New models received major improvements in programming, mathematics, scientific research and cybersecurity. What we managed to do: - Mathematics:…
Telegram — AI Machine Learning Big Data
Oxford has released a 180-page textbook on how to look inside neural networks and understand how they think.
📚 Oxford has released a 180-page textbook on how to look inside neural networks and understand how they think. Researchers from the University of Oxford and other scientific institutions have published a large-scale review of Mechanistic Interpretability and its...
Telegram — AI Machine Learning Big Data
Meta releases Muse Ember, a new lightweight model for agent execution
At 10 cents per million input tokens, Ember is significantly cheaper than frontier competitors like Haiku and Luna.
TechCrunch — AI
Google taught AI agents to find new quantum algorithms and immediately prove their correctness and cost in Lean.
Google taught AI agents to find new quantum algorithms and immediately prove their correctness and cost in Lean. Both the DeepMind and Quantum teams worked on this. This work differs from past approaches where AI agents tested quantum circuits through numerical simulations...
Telegram — blockchainRF (блокчейн / мозг / space / WEB 3.0)