Automated Scientific Renaissance: How Artificial Intelligence Can Reimagine Scientific Discovery | Zenodo
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Published August 23, 2026
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Automated Scientific Renaissance: How Artificial Intelligence Can Reimagine Scientific Discovery
Authors/Creators
Anastasov, Ivaylo<br>(Researcher)1
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https://rakts-research.org/
Description
This white paper proposes the urgent creation of an "AI Institute for Scientific Analysis" to overcome the current stagnation in fundamental physics and global science. The modern academic system, heavily reliant on human peer review and constrained by massive information noise, is structurally incapable of identifying paradigm-shifting alternative theories. We argue that artificial intelligence, specifically Large Language Models (LLMs) serving as a "Great Filter" followed by automated in silico validation and self-driving physical labs, is the only scalable solution. The document explores the geopolitical, economic, and strategic necessity of using machine intelligence to systematically scan, evaluate, and validate both historical and contemporary theories, thereby eliminating the human bottleneck in scientific discovery.
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https://rakts-research.org/
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Python
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Keywords and subjects
Keywords
Artificial Intelligence
Philosophy of Science
Theoretical Physics
Scientific Discovery
LLM
Paradigm Shift
Science Policy
Self-driving Labs
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DOI
10.5281/zenodo.22067050
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Resource type<br>Preprint
Publisher<br>Zenodo
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English
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Creative Commons Attribution 4.0 International
The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited.
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Created
August 23, 2026
Modified
August 23, 2026
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