LOGOS: A Unified Generative Foundation Model for the Natural Sciences Using Shared Scientific Grammar
By
[Submitted on 15 Jun 2026]
Crackles when you bite it. Shows the baker did the work.
Summary
This report introduces LOGOS (Language Of Generative Objects in Science), a scientific generative language model that unifies diverse tasks across the natural sciences within a single autoregressive framework. LOGOS encodes scientific objects and their spatial interactions as token sequences over a common vocabulary, capturing complex structural interactions without relying on explicit coordinates or geometric neural networks. The model is trained at 1B, 3B, and 8B parameter scales, consistently matching or outperforming domain-specific baselines. The authors argue that the future of AI for Science (AI4S) lies in aligning scientific foundation models with large language models through shared architectures, training paradigms, and inference infrastructure, rather than building a separate technical stack.
Key quotes
· 5 pulledIt encodes diverse scientific objects and their spatial interactions as token sequences over a common vocabulary.
This unified representation enables a wide range of downstream tasks to be formulated consistently as next-token prediction in the same grammar space, creating strong alignment between continued multi-domain pre-training and downstream objectives.
Across diverse tasks, LOGOS consistently matches or outperforms domain-specific baselines, providing preliminary evidence for the feasibility of 'one model fits all' in the natural sciences.
We train LOGOS models at different scales (1B, 3B, and 8B parameters) and find a consistent positive correlation between model size and performance.
The future of AI for Science (AI4S) may not lie in building an independent technical stack that is separated from large language models (LLMs). Instead, it may depend on deeply aligning scientific foundation models with LLMs through shared architectures, shared training paradigms, and shared inference infrastructure.
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