ME News reports that on August 1 (UTC+8), at the Agentic AI Summit 2026, three leading industry experts outlined a clear roadmap for the next phase of AI evolution: Saurabh Tiwary, Vice President of Google DeepMind, proposed a progression from models to agents to scientific discovery, calling for the collaborative development of a complete agent AI technology stack; Dan Roth, Chief AI Scientist at Oracle, emphasized the bidirectional synergy between data and AI, highlighting the deep feedback loop between high-quality data and powerful AI systems; and Weizhu Chen, Microsoft Technical Fellow, focused on continuous model improvement, delving into incremental learning and self-iteration mechanisms after AI deployment. These three perspectives build upon one another, collectively revealing the inevitable trend of AI evolving from foundational models into fully autonomous, self-evolving agent systems.（Source: ME News）
2026 AI Summit Highlights Path from Base Models to Full-Stack Autonomous Agents
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The 2026 Agentic AI Summit on August 1 (UTC+8) outlined the transition from base models to full-stack autonomous agents. Google DeepMind’s Saurabh Tiwary proposed a model-to-agent framework for scientific discovery. Oracle’s Dan Roth emphasized the synergy between data and AI, highlighting the role of on-chain data in refining models. Microsoft’s Weizhu Chen focused on continuous learning and self-iteration in deployed systems. Analysts suggest that altcoins to watch may emerge as AI infrastructure evolves.
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