Ravid Shwartz-Ziv

Ravid Shwartz-Ziv is an AI researcher at Meta Superintelligence Labs who works on world models, memory and compression in machine learning. He was previously an assistant professor and faculty fellow at New York University's Center for Data Science and co-hosts the podcast The Information Bottleneck.

What DI has documented

DI has documented statements by Ravid Shwartz-Ziv on Artificial Intelligence, Cybersecurity, and Scientific Research. Read the quotations, original sources and related cases below.

Topics in this coverage

Statements by Ravid Shwartz-Ziv

Ravid Shwartz-Ziv

Role at the time: AI researcher, posting on X

Challenged the characterization

Response to this claim

Small AI models may be months away from being capable enough to self-replicate on commercial internet-of-things devices, such as smart ovens and off-brand Android TV boxes.

“The reality is a bit less dramatic, of course. ... Interesting engineering? Absolutely. Evidence of AI worms spreading autonomously through the real world? Not yet. But “we managed to run a very slow model on cheap TVs” doesn't make quite the same headline as “self-replicating AI is coming.””
Read the original post (opens in a new tab)Ravid Shwartz Ziv on Anthropic's self-replication warning · Ravid Shwartz-ZivPost on X, October 12, 2026, 6:21 p.m. Eastern
Why we used this label

The reference point is Anthropic's statement that its experiments suggest small AI models may be months away from being capable enough to self-replicate on commercial internet-of-things devices. Challenged characterization: he credits the engineering but disputes how the results were presented, saying they are not yet evidence of autonomous spread. The closest competing label is Condemned; it loses because his objection targets the framing of the findings rather than rejecting the research.

A participant is a subject of the case. A speaker has a statement documented in it. A commentator has an opinion or editorial documented in it.