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ExplainersTanishq Mathew Abraham, Ph.D. @iScienceLuvr2026-10-2626:01

Explainer video on JEM self-supervised learning paper

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An explainer video on Meta's JEM self-supervised learning paper, made with Claude Opus 5.5 from two prompts and no third-party tools. The final video runs 25 minutes.

Full prompt636 chars

Make a video explaining how JEM works (https://arxiv.org/abs/2610.10013)
>
> Make sure it's in depth but also explains it from scratch and first principles without it being too complicated (I don't understand any of the information theoretic math for example, it confuses me)

[it generated a 16 min video but did not cover any of the equations directly]

> This is incredible! The only thing missing is it doesn't walk through the actual math/equations for the losses. You just need to explain how your intuitive description of the losses connect with the math. Please let me know what parts of the video you change to make this clear.

Source: the creator's reply under the post. Kept in its original language, unedited.

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Original post: https://x.com/iScienceLuvr/status/2114676265093664978

All works are open data at GitHub · awesome-opus-5.5-video.

Model attribution is as stated by the creator and was not independently reproduced. View counts are a snapshot from 2026-10-28. The work belongs to its creator; DM @GoSailGlobal on X for corrections or removal.

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