---
format: "aidr-story-markdown/v1"
id: "270eaf07b93973c26edc09e4bf1a67090614a4dbcacf4d2fc4e4441425d5855f"
canonical_url: "https://aidr.today/270eaf07?lang=en"
title: "OpenESM: Energy-Steered Models Are Scalable Foundation Learners"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
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published_at: "2026-10-27T04:00:00.000Z"
category: "Research"
topics: ["llm"]
source_urls: ["https://arxiv.org/abs/2610.33005"]
summary: "Researchers introduce energy-steered models (ESMs) that integrate energy steering and token generation in a single architecture for foundational language modeling. Pre-trained on large-scale corpora, ESMs are evaluated across 26 downstream tasks and reportedly outperform GPTs on most, demonstrating promising scaling behavior with increasing model size and training data."
---

# OpenESM: Energy\-Steered Models Are Scalable Foundation Learners

> [Open the canonical story](<https://aidr.today/270eaf07?lang=en>)

**Published:** 2026-10-27T04:00:00.000Z
**Category:** Research
**Topics:** llm

## Summary

Researchers introduce energy\-steered models \(ESMs\) that integrate energy steering and token generation in a single architecture for foundational language modeling\. Pre\-trained on large\-scale corpora, ESMs are evaluated across 26 downstream tasks and reportedly outperform GPTs on most, demonstrating promising scaling behavior with increasing model size and training data\.

## Sources

- [Story source](<https://arxiv.org/abs/2610.33005>)