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Останні новини та аналітика про OpenAI | Yellow.com
Довіряйте Yellow.com для отримання останніх і найнадійніших новин та аналітики про OpenAI . Будьте в курсі актуальних оновлень, експертного аналізу та ґрунтовних статей про OpenAI .
Новини
Bittensor's Most Powerful Builder Just Quit And Called The Whole Thing A Lie
Apr 12, 2026
The team that built the largest decentralized AI model in history has walked out of the network that made it possible and they didn't leave quietly. Sam Dare, founder of Covenant AI, on Friday published a public exit letter accusing Bittensor (TAO) co-founder Jacob Steeves of running a network that
What Happens When AI Starts Paying For Things? The Answer Is Already Here
Apr 01, 2026
A new payments race is unfolding across global finance, but this time the end users are not humans, they are AI agents. According to a report by Foresight Ventures, the past six months have seen major players move quickly to build infrastructure for machine-driven commerce. Companies such as OpenAI
Openclaw Founder Moves To New Role As AI Agent Race Heats Up
Feb 16, 2026
Peter Steinberger, the creator of the open-source AI agent project Openclaw, is joining OpenAI to work on personal AI agents, while the project he built — which amassed more than 180,000 Github stars since launching in November 2025 — transitions into an independent foundation model that will remain
Vitalik Buterin, Sam Altman Make Surprise Appearance At Bitmine Shareholder Meeting
Jan 15, 2026
Ethereum co-founder Vitalik Buterin and OpenAI CEO Sam Altman will attend Bitmine Immersion Technologies' annual shareholder meeting today in Las Vegas, marking an unexpected convergence of blockchain and artificial intelligence leadership. The meeting centers on a critical vote to increase Bitmine'
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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