This article unfolds a five-stage evolution of gaming, each building upon the previous innovations and technological breakthroughs, significantly reshaping the gaming experience and its societal impact. From intelligent NPCs to immersive neural interfaces, we will explore how each stage contributes.
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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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