Real research agents need multi-step planning, not just summaries
NewReview1894 · reddit · 2026-08-18
The post argues against conflating LLM chat summaries with actual AI research agents. While summarization helps when you know what you want, real research involves exploring unknowns across hundreds of papers, identifying gaps, and designing experiments. The author critiques ChatGPT for lacking this multi-step capability (e.g., mapping citation networks, suggesting baselines, catching statistical errors). They highlight Mira AI Science as an example that attempts to decompose research goals and execute complex workflows, despite some hallucination issues in sub-task generation. The key distinction is whether the agent can maintain and act on a research goal over multiple steps.
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