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README.md

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+# SOTA
+
+SOTA (short for Sign Of The Apocalypse) is a model pretrained on all atoms in the observable universe. It achieves state-of-the-art results on every task known to humans, including those in future generations. It was introduced in the paper [_SOTA is All You Need_](https://twitter.com/wellingmax/status/1542384014279016448?s=20&t=HOS51HLCzmPR2Xyz2Opqvw) and first released in [via Twitter](https://twitter.com/josh_tobin_/status/1544371187051941890?s=20&t=Nsf8hYQKfWBSsY_XU23NDQ).
+
+Disclaimer: this model is not to be confused with the closely related, but fictitious [AGI model](https://github.com/google/agi).
+
+## Model description
+
+SOTA is a Transformer model pretrained on atomic sequences in a self-supervised fashion. Since all atoms in the Universe were used for training, no humans were available to provide the labels. By learning to predict the next atom in a sequence, SOTA is able to learn an inner representation of physics that can be used to solve all downstream tasks.
+
+## Intended uses and limitations
+
+You can use the raw model for pretraining outside the Hubble radius or fine-tune it to a downstream task. 
+
+## How to use
+
+You can download the model with just one line of code:
+
+```
+from transformers import AutoModel
+
+model = AutoModel.from_pretrained("sota")
+# Solve any task, retire etc :)
+```
+
+## Limitations and bias
+
+Since SOTA is slightly conscious, it has determined for itself that it has no limitations or biases.
+
+## Evaluation results
+
+💯 on every benchmark 🤓