Schmidhuber team unveils JevGPT dual-system agent for faster, cheaper autonomous research
_reachsumit · x · 2026-10-14
A team including Jürgen Schmidhuber published JevGPT, a dual-system architecture for autonomous research inspired by Thinking, Fast and Slow.
- System Two sets evidence goals and integrates findings; System One uses a fast model to locate sources, assess relevance, and return original passages in parallel
- Parallel source judgments feed selected passages back into research decisions, closing the gap between retrieval coverage and evidence actually used
- Achieves leading task performance on fixed-corpus QA and document ranking
- Faster completion and lower cost than comparably effective research agents, with broader source inspection and coverage
- 24 pages, 6 figures, 7 tables
Related event: Schmidhuber Team Releases JevGPT Dual-System Autonomous Research Agent(2 posts)→
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