Understanding LLM Hallucinations: Why AI Lies and How to fix it.

Sangam Shrestha — Thu, 13 Aug 2026 07:35:37 +0000

AI writes code, builds apps, and answers complex questions in seconds. But it has a dark side: it lies to your face with absolute confidence.

In tech, these believable fabrications are called hallucinations.

Why Does AI Make Things Up?
LLMs do not actually "know" facts. They operate on probability:
▪︎ Advanced Autocomplete: AI predicts the next most likely word, not factual truth.
▪︎ Statistical Guesswork: If data is missing, the model invents a plausible answer.
▪︎ Optimized to Please: AI prefers a confident lie over admitting "I don't know."

The Real-World Risks
▪︎ Security Vulnerabilities: AI can invent non-existent software packages, opening doors to malicious exploits.
▪︎ Ruined Credibility: Shipping broken code or publishing false data destroys user trust instantly.

How to Fix Your Workflow
You don't need to stop using AI—you just need to secure it:
▪︎ Ground the AI: Provide specific source documentation and restrict the model from answering outside of it.
▪︎ Lower the Temperature: Drop your API temperature parameter toward 0 to kill unwanted creativity.
▪︎ Human-in-the-Loop: Treat AI outputs as an unverified draft. Never push to production without a human review.

DEV Community: Sangam Shrestha

Understanding LLM Hallucinations: Why AI Lies and How to fix it.