preprint · 2026-09-25
Agentic Economies for Autonomous Scientific Discovery
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Why it matters here
This conceptual paper argues that autonomous scientific discovery depends on allocating scarce validation resources, coordinating AI and human researchers, and maintaining accountable research infrastructure. Section6.2 discusses recursive self-improvement and its safeguards; Section8 discusses limitations of AI-driven discovery. It provides context for constraints on AI research progress rather than a measured self-improvement result.
Research autonomyEvaluation integrity
What to keep in mind
- Conceptual synthesis and proposed institutions; no new RSI benchmark, tested integrated recursive-improvement system or measured acceleration is established by this entry.
- Cited empirical claims were not independently audited; the source's economic and governance proposals are not demonstrated outcomes.
- Author affiliations are Google DeepMind, but the disclaimer says these are personal views, not necessarily organizational policies.
- arXiv records v1 submitted2026-09-25; the PDF cover prints2026-09-28. Preserve the submission date and this discrepancy rather than infer a revised version.