---
title: "Researchers introduced Walrus, a transformer model that can predict what fluids (liquids, gases, and..."
source_name: "DeepLearning.AI(@DeepLearningAI)"
original_url: "https://x.com/DeepLearningAI/status/2047384731356999792"
canonical_url: "https://www.traeai.com/articles/a5d2c715-8c62-4763-877c-26846852fe6c"
content_type: "tweet"
language: "中文"
score: 5
tags: []
published_at: "2026-04-23T18:38:53+00:00"
created_at: "2026-04-23T23:03:31.9865+00:00"
---

# Researchers introduced Walrus, a transformer model that can predict what fluids (liquids, gases, and...

Canonical URL: https://www.traeai.com/articles/a5d2c715-8c62-4763-877c-26846852fe6c
Original source: https://x.com/DeepLearningAI/status/2047384731356999792

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Title: DeepLearning.AI on X: "Researchers introduced Walrus, a transformer model that can predict what fluids (liquids, gases, and plasmas) will do across many physical domains. 

The model achieves higher accuracy and more stable long-term predictions than prior models, thanks in part to a "jitter" technique" / X

URL Source: http://x.com/DeepLearningAI/status/2047384731356999792

Markdown Content:
# DeepLearning.AI on X: "Researchers introduced Walrus, a transformer model that can predict what fluids (liquids, gases, and plasmas) will do across many physical domains. The model achieves higher accuracy and more stable long-term predictions than prior models, thanks in part to a "jitter" technique" / X

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Researchers introduced Walrus, a transformer model that can predict what fluids (liquids, gases, and plasmas) will do across many physical domains. The model achieves higher accuracy and more stable long-term predictions than prior models, thanks in part to a "jitter" technique that reduces error accumulation during repeated simulations. Read our summary of the paper in The Batch ![Image 3: 👇](https://abs.twimg.com/emoji/v2/svg/1f447.svg)

[![Image 4](https://pbs.twimg.com/card_img/2047384733365964800/cobZRMmT?format=jpg&name=small) A Dynamic Fluids Model Appears To Solve Transformers’ Pixellation Problem](https://t.co/fnFnBpY9z4)

[From deeplearning.ai](https://t.co/fnFnBpY9z4)

[6:38 PM · Apr 23, 2026](http://x.com/DeepLearningAI/status/2047384731356999792)

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