China's Kimi K2 Thinking Model Outperforms GPT-5 Benchmark скачать в хорошем качестве

China's Kimi K2 Thinking Model Outperforms GPT-5 Benchmark

AI infrastructure commitments hit staggering new heights as OpenAI unveils $1.4 trillion in data center spend and Anthropic commits to one million Google Ironwood TPUs. This massive scaling underpins critical new model releases and intense regulatory focus on AI safety for minors and national interests. • Anthropic's 1 Million Chip Deal: Google launched its 7th-gen Ironwood TPUs, offering 10X higher throughput, validated by Anthropic's commitment to access up to one million chips for training. • China's Open-Source MoE Challenge: Moonshot AI released Kimi K2 Thinking (1T MoE), an open-source model that outperformed OpenAI's GPT-5 on the BrowseComp agentic benchmark. • OpenAI's Financial and Policy Push: CEO Sam Altman announced OpenAI anticipates $20 billion in annualized revenue run rate, alongside $1.4 trillion in long-term infrastructure commitments through 2033. The company also released its "Teen Safety Blueprint" policy framework. • Global Infrastructure Competition: Google Cloud announced a landmark $15 billion AI hub investment in Visakhapatnam, India, over five years (2026–2030). • Agentic AI Warnings: A CMU study on the Cursor coding assistant found short-term velocity gains were offset by a persistent rise in code complexity and static-analysis warnings. • New US Safety Focus: Microsoft formed the MAI Superintelligence Team under Mustafa Suleyman, explicitly prioritizing "humanist superintelligence" safety over total autonomy. Factual briefing drawing on primary sources including OpenAI, Google Cloud, TechCrunch, Reuters, and arXiv preprints, strictly verified for November 6, 2025 publication dates.