Multi-Agent Auto-Research Harness Produces Physics Paper with GPT Pro and DeepSeek
aiamblichus · x · 2026-08-08
A developer shared a compelling case study using an automated research harness, where a team of AI agents successfully produced a paper with potential academic merit in mathematical physics and condensed matter theory.
The AI research team was structured as follows:
- GPT Pro: Acted as the high-level scientific advisor.
- DeepSeek v4 Pro: Served as the principal investigator leading the research.
- DeepSeek v4 Flash: Functioned as the experiment runner and bibliography curator.
The author noted that the process underwent substantial automated verification, with GPT Pro assessing the output as 'ready for serious submission.' He is now calling for domain experts to review the paper to validate this new paradigm of AI-driven scientific discovery.
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