Angelina YangFounder and Host, TwoSetAI · AI builder for visibility and discoverability

Why AI Still Hallucinates — And How to Fix It With a "Verification Agent"

10 Aug 2026 · 1 min

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In this brief excerpt, the speaker highlights a common problem with large language models such as ChatGPT and Claude: they can produce hallucinated or inaccurate information when used for research. The speaker contrasts the relative trustworthiness of Wikipedia, which is curated and fact‑checked, with informal platforms like Reddit, which are more prone to errors. To address this, the speaker proposes a "verification agent" that evaluates both the reliability of an information source and the logical correctness of the reasoning that connects the source to a claim. The speaker then asks whether an explicit verification agent already exists, indicating a discussion about implementing such a component.

Chapters

Even just using ChatGPT or Claude to do research, we can see sometimes we get hallucinated results. You can write anything on the website. The information from Wiki, someone at least check it, so it's more reliable than random post from Reddit. So we also have a verification agent to judge whether this information source is reliable or not, whether the reasoning from the source to a claim is correct or not. That's another kind of verification. Do you have an explicit verification agent?