The Deep View: A solution to AI hallucinations

Posted on June 9, 2025 by michelleclarke2015
A solution to AI hallucinationsSource: ChatGPT 4o

Large language models like ChatGPT, Gemini and Llama continue to generate false information at alarming rates. These mistakes, known as hallucinations, are built into how these systems function and happen without warning.

One high-profile case involved ChatGPT falsely accusing law professor Jonathan Turley of sexual misconduct, citing a fabricated Washington Post article about a trip to Alaska that never happened. OpenAI blocked future responses about Turley, but the core problem persists.

What’s happening: LLMs work by predicting the next word in a sentence based on statistical patterns from training data. They don’t understand meaning or verify facts — when they lack information, they fill gaps with plausible-sounding fabrications.The problem is worsening as AI companies increasingly feed models with synthetic data generated by earlier AI systems. This creates what researchers call “model collapse,” where errors compound across generations, leading to degraded performance and reliability.

The solution: Neurosymbolic AI is gaining attention as a potential fix. This approach combines machine learning with logic-based rules, allowing AI to extract patterns during training and then apply formal reasoning rather than just statistical guessing. Companies like Google’s DeepMind are already using neurosymbolic methods in specialized applications like AlphaFold for protein structure prediction and AlphaGeometry for mathematical problems.

Why it matters: Hallucinations aren’t just technical flaws — they erode trust and create real-world risks in medicine, law and finance. Recent studies show OpenAI’s latest reasoning model o3 hallucinates 33% of the time, double the rate of its predecessor. Neurosymbolic AI offers a path toward more reliable, explainable AI systems that could restore confidence in the technology.
 

Unknown's avatar

About michelleclarke2015

Life event that changes all: Horse riding accident in Zimbabwe in 1993, a fractured skull et al including bipolar anxiety, chronic fatigue …. co-morbidities (Nietzche 'He who has the reason why can deal with any how' details my health history from 1993 to date). 17th 2017 August operation for breast cancer (no indications just an appointment came from BreastCheck through the Post). Trinity College Dublin Business Economics and Social Studies (but no degree) 1997-2003; UCD 1997/1998 night classes) essays, projects, writings. Trinity Horizon Programme 1997/98 (Centre for Women Studies Trinity College Dublin/St. Patrick's Foundation (Professor McKeon) EU Horizon funded: research study of 15 women (I was one of this group and it became the cornerstone of my journey to now 2017) over 9 mth period diagnosed with depression and their reintegration into society, with special emphasis on work, arts, further education; Notes from time at Trinity Horizon Project 1997/98; Articles written for Irishhealth.com 2003/2004; St Patricks Foundation monthly lecture notes for a specific period in time; Selection of Poetry including poems written by people I know; Quotations 1998-2017; other writings mainly with theme of social justice under the heading Citizen Journalism Ireland. Letters written to friends about life in Zimbabwe; Family history including Michael Comyn KC, my grandfather, my grandmother's family, the O'Donnellan ffrench Blake-Forsters; Moral wrong: An acrimonious divorce but the real injustice was the Catholic Church granting an annulment – you can read it and make your own judgment, I have mine. Topics I have written about include annual Brain Awareness week, Mashonaland Irish Associataion in Zimbabwe, Suicide (a life sentence to those left behind); Nostalgia: Tara Hill, Co. Meath.
This entry was posted in Uncategorized. Bookmark the permalink.

Leave a comment