
#416 – Yann Lecun: Meta AI, Open Source, Limits of LLMs, AGI & the Future of AI
Lex Fridman Podcast
The Failure of Models with Latent Variables in Image Predictions
Using models with latent variables to represent unperceivable information in neural networks for image prediction has been unsuccessful. Various methods such as GANS, VAEs, and regular autoencoders have been attempted but have not yielded accurate results in predicting missing parts of images or videos from corrupted versions.
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