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Transformers are Inherently Succinct

▲ 62 points 9 comments by bearseascape 2w ago HN discussion ↗

Pangram verdict · v3.3

We believe that this document is fully human-written

3 %

AI likelihood · overall

Human
100% human-written 0% AI-generated
SEGMENTS · HUMAN 1 of 1
SEGMENTS · AI 0 of 1
WORD COUNT 129
PEAK AI % 3% · §1
Analyzed
May 4
backend: pangram/v3.3
Segments scanned
1 windows
avg 129 words each
Distribution
100 / 0%
human / AI fraction
Verdict
Human
Pangram v3.3

Article text · 129 words · 1 segments analyzed

Human AI-generated
§1 Human · 3%

View PDF HTML (experimental) Abstract:We propose succinctness as a measure of the expressive power of a transformer in describing a concept. To this end, we prove that transformers are highly expressive in that they can represent formal languages substantially more succinctly than standard representations of formal languages like finite automata and Linear Temporal Logic (LTL) formulas. As a by-product of this expressivity, we show that verifying properties of transformers is provably intractable (i.e. EXPSPACE-complete). Subjects: Formal Languages and Automata Theory (cs.FL); Machine Learning (cs.LG); Logic in Computer Science (cs.LO) Cite as: arXiv:2510.19315 [cs.FL]   (or arXiv:2510.19315v2 [cs.FL] for this version)   https://doi.org/10.48550/arXiv.2510.19315 arXiv-issued DOI via DataCite Submission history From: Pascal Bergsträßer [view email] [v1] Wed, 22 Oct 2025 07:25:54 UTC (28 KB) [v2] Thu, 23 Oct 2025 08:09:19 UTC (28 KB)