"Despite SIMA 2's gaming prowess, creating a consumer-facing gaming helper isn't the broader goal here, members of the DeepMind team told The Verge during a Wednesday briefing. Jane Wang, a senior staff research scientist at DeepMind, called it "a really great training ground" for potentially transferring the skills to real-world environments one day. And, as usual, it all comes back to the ever-intensifying AGI race between Google, Meta, OpenAI, Anthropic, and others."
""This is a significant step in the direction of Artificial General Intelligence (AGI), with important implications for the future of robotics and AI-embodiment in general," DeepMind's blog post states. Joe Marino, a research scientist at DeepMind, doubled down on that, saying that SIMA 2's ability to take actions in a virtual world and handle environments it has never seen before is a "fundamental" step toward AGI - and potentially toward building a general-purpose robot down the line."
SIMA 2 builds on the previous SIMA agent by integrating Google's Gemini model and learning to play complex games such as No Man's Sky, Valheim, and Goat Simulator 3. The agent can understand high-level user goals, perform complex reasoning, and skillfully execute goal-oriented actions within games, including in environments it has not previously seen. DeepMind is releasing SIMA 2 as a limited research preview for some academics and developers. Game worlds serve as a training ground to develop transferable interactive abilities with potential implications for future robotics and broader AGI development.
Read at The Verge
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