Hey HN, I posted this a few weeks ago - honestly, it didn't even have tests and definitely didn't work - thank you to the commenter that let me know - haha. Wanted to share it again now that it's in a better place.
Hegelion uses dialectical philosophy to force an AI to argue with itself —thesis, antithesis, synthesis.
What I've found is that it's really helpful for complex topics where a single-pass answer falls apart under scrutiny. It seems to force some sort of slow thinking that doesn't ordinarily happen and ideas progress over the response.
I don't have hard data on hallucination reduction yet, and it can definitely spiral into recursive LLM land on certain topics. But it also produces genuinely novel responses I haven't seen before from these models -- more confident but still limiting in its confidence if that makes sense. Confidently unconfident!
Runs as an MCP server (Claude Desktop, Cursor, VS Code), Python agent, or just copy the prompts.
Curious what use cases you find for this and what kinds of answers you get.
hunterbown•2mo ago
Hegelion uses dialectical philosophy to force an AI to argue with itself —thesis, antithesis, synthesis.
What I've found is that it's really helpful for complex topics where a single-pass answer falls apart under scrutiny. It seems to force some sort of slow thinking that doesn't ordinarily happen and ideas progress over the response.
I don't have hard data on hallucination reduction yet, and it can definitely spiral into recursive LLM land on certain topics. But it also produces genuinely novel responses I haven't seen before from these models -- more confident but still limiting in its confidence if that makes sense. Confidently unconfident!
Runs as an MCP server (Claude Desktop, Cursor, VS Code), Python agent, or just copy the prompts.
Curious what use cases you find for this and what kinds of answers you get.