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Последние новости и аналитика ИИ | Yellow.com
Доверяйте Yellow.com для получения последних и наиболее надежных новостей и аналитики по ИИ . Будьте в курсе точных обновлений, экспертных анализов и подробных статей о трендах и движениях на рынке ИИ .
Новости
AI Threats Push Governments Toward Blockchain Infrastructure In 2026, Experts Warn
Dec 24, 2025
The escalating power of artificial intelligence and emerging quantum capabilities is poised to reshape global security, regulation and market design in 2026, according to leading figures across the blockchain and AI sectors. Speaking with Yellow.com, experts points toward a structural shift where g
Warren Buffett, Philippe Laffont Pour $5.6B Into Alphabet Amid AI Boom
Dec 20, 2025
Three billionaire investors poured a combined $5.6 billion into Alphabet Inc. during the third quarter, betting on the Google parent's artificial intelligence push. Warren Buffett's Berkshire Hathaway initiated a $4.3 billion position by purchasing 17.85 million shares. Philippe Laffont's Coatue Man
Solana AI Token Ava Crashes 96% After Insider Wallet Analysis
Dec 19, 2025
Ava AI, a Solana-based artificial intelligence token, has crashed 96% from its January peak following blockchain analysis that revealed coordinated wallet activity at launch. Analytics firm Bubblemaps identified 23 wallets linked to the token deployer that accumulated approximately 40% of the total
Why Render Network Says The Real AI Bottleneck Isn’t GPU Shortage, It’s Wasted Compute
Dec 12, 2025
A persistent assumption across the AI industry is that growth will soon be constrained by a global shortage of high-end GPUs. Yet the constraint shaping the next phase of AI development may be less about absolute scarcity than about structural inefficiency. According to Render Network’s Trevor Harri
Why Gradient Thinks Trillion-Parameter Models Won’t Belong To OpenAI or Google In The Future
Dec 11, 2025
Gradient CEO Eric Yang believes the next major shift in artificial intelligence won’t come from larger proprietary models or more powerful data centers. Instead, he argues it will be driven by a foundational change in how models are trained: distributing training across a global, permissionless net
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