of the prior or concurrent work in generative modeling. An easy-to-use system like Phenaki can
be repurposed for generating maliciously fake content and enable spreading of such content much
easier. While the quality of the videos generated by Phenaki is not yet indistinguishable from real
videos, getting to that bar for a speciﬁc set of samples is within the realm of possibility, even today.
This can be particularly harmful if Phenaki is to be used to generate videos of someone without their
consent and knowledge.
Like DALLE-2 [39], Imagen [42], Parti [65] and others, Phenaki is trained on a collection of datasets
that is known to encode a number of undesirable biases. LAION-400M [45] speciﬁcally has a variety
of issues regarding violence, pornography, gore [6]. While our primary image and video datasets
have minimal traits like this, we did incorporate LAION-400M into our training and observed better
PHENAKI- VARIABLE LENGTH VIDEO GENERATION FROM OPEN DOMAIN TEXTUAL DESCRIPTIONS