8h • General Discussion 💬
AI hallucination is still the problem in 2026
A UK investment firm lost $1.2 million in Q1 because their AI hallucinated a merger announcement that never existed.
Hospitals suspended AI trials because models were flagging patients for diseases they didn't have.
Even the "best" models still hallucinate 17-72% of the time depending on the task.
So here's what I've been doing:
- Flags uncertain responses for human review
- Uses RAG (Retrieval-Augmented Generation) to ground answers in real data
- Reduces hallucination by ~75% when web search is enabled
The reality? AI is powerful but NOT reliable on its own yet. The money is in building RELIABLE systems, not just fast ones.
How are YOU handling AI accuracy in your client projects? What verification steps do you use?
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AI hallucination is still the problem in 2026
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