
The podcast discusses Google DeepMind's new AI, SIMA 2, which can learn to play multiple 3D video games from raw pixels and human instructions, similar to how a human learns. The speaker highlights SIMA 2's advancements over its predecessor, SIMA 1, including multimodality (voice and sketch commands), improved long-term strategic planning, and the ability to transfer knowledge between unseen games, even those generated by another AI. While acknowledging current limitations like speed and success rates, the speaker emphasizes that the significant leap in capability from nearly 0% to 14% success in unseen games represents a crucial step towards developing AI that learns through curiosity and interaction, rather than pre-programmed knowledge, ultimately aiming to solve intelligence rather than just gaming.
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