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DeepMind’s AGI path centers on agentic, tool-using, multimodal models
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First seen: 2025-12-30
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Last updated: 2025-12-30
Overview
Demis Hassabis frames Google DeepMind’s route to AGI around agentic systems that plan, use tools, and operate across modalities, building on Gemini and Project Astra. For engineering teams, the practical surface today is long‑context Gemini APIs with structured tool/function calling and real‑time inputs, not fully autonomous agents.
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UPDATE Update: Google DeepMind AGI roadmap and agentic systems
In a new video, Demis Hassabis lays out the clearest public roadmap to AGI yet, explicitly centering on agentic systems that plan, use tools, and work across modalities. New vs prior: he more clearly sequences milestones (improving tool-use reliability and long‑horizon planning before higher autonomy) and positions Gemini and Project Astra as stepping stones rather than endpoints.
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2025-12-30
2025-12-30 19:19