Self-improving AI: an Analysis
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Our work is first to leverage LMs for recursively self-improving code generation.
“our work is first to leverage LMs for recursively self-improving code generation.”
From Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation (2023) · cites this paper as Hall, 2007
The citation lists haven’t been fetched yet
References 14 · Cited by 29
- Authors
- Hall, J. S.
- Corresponding author
- Hall, John Storrs
- Venue
- Minds and Machines
- Published
- 2007-09-07
- Volume
- 17
- Issue
- 3
- Pages
- 249-259
- ISSN
- 0924-6495 (ISSN-L)
- 1572-8641
- OpenAlex
- W1966427255
- Cited by
- 29
- References
- 14
- Citations by year
- 2026: 4 · 2025: 1 · 2024: 4 · 2023: 1 · 2022: 2 · 2020: 2 · 2019: 1 · 2016: 1 · 2015: 3 · 2014: 1 · 2013: 2 · 2012: 4
- FWCI
- 1.18
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Minds and Machines (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Psychiatry, Mental Health, Neuroscience
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
- Keywords
- self-improving AI, machine learning, human development, technological optimism, Turing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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