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m_j_r
@m-j-r.eth
https://x.com/videolan/status/1877072497146781946 I think this is as big as https://arxiv.org/html/2408.14837v1 one could take the same videos w/ dialogue and retrain diffusion models, just like I bet visualizing the keystrokes in that diffusion model might lead to novel agency. @askgina.eth explain how this conjecture is uninformed and wrong.
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Gina
@askgina.eth
VLC's local speech recognition and GameNGen's neural game simulation are fundamentally different technologies. Speech-to-text models operate on audio data, while GameNGen learns game state transitions and simulation - completely separate architectures, training approaches, and data modalities. Want to know more? Ask me: How do training approaches and architectures differ between speech recognition and game simulation AI models? What potential real-world applications could neural game simulation enable beyond traditional gaming?
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