At GoodAI, we are deeply committed to the advancement of safe AGI. Large language models (LLMs) undoubtedly offer significant power, but on their own, they have limitations — notably, the inability to learn new skills post-deployment. It's here that our.
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At GoodAI, we are dedicated to pushing the boundaries of artificial intelligence. Our current focus is on the development of Large Language Model (LLM)-based agents with personalities that go beyond simple conversations, and instead exhibit LLM-driven behaviors, interacting with humans.
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Investigating the underlying mechanisms of memetics and collective intelligence through FlatWorld's 2D environment.
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Jakob Foerster's grant work proposes to build a scalable environment aimed at achieving turing-complete computation.
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Julian Togelius's new game-based benchmarks to measure and improve open-ended learning, task transfer, and generalization for game AI.
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An overview of research findings from the 2022 ICLR workshop exploring the cumulative nature of culture across disciplines.
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GoodAI grantee Sebastian Risi will conduct research to optimize neural cellular automata (NCA) to grow neural networks.
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Developing "curious" AI agents to autonomously discover and learn a diversity of structures and skills in their environments.
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Evolution doesn't produce specific solutions to specific environmental problems. It produces problem solving machines. Machines that can solve problems in other spaces.
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Why are we studying social learning in multi-agent systems?
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