Recent work suggests that large language models may implicitly learn world models. How should we assess this possibility?

Spiking neural networks (SNNs) represent a promising approach to developing artificial neural networks that are both energy-efficient and biologically plausible.

Warning: This paper contains unfiltered and potentially harmful content.

However, diffusion processes are prone to generating samples that reflect biases in a training dataset.