The clearest 9-minute whiteboard explanation of hallucination types and how to prompt around them.
Why Large Language Models Hallucinate
Martin Keen, IBM Technology Apr 2023
Watch on YouTube youtube.com →AI models are trained to sound confident even when guessing, so a fluent answer with citations is not proof: open the sources and check they exist and actually say what the AI claims. Use lateral reading (verify names, numbers and dates in an independent search), ask the model for counter-evidence, and scale your rigour to the stakes; anything going to investors, customers or a court gets line-by-line verification. Grounded tools (Perplexity, deep research modes, NotebookLM) hallucinate less than bare chatbots, but nothing removes the need to check.
19 resources.
The clearest 9-minute whiteboard explanation of hallucination types and how to prompt around them.
Martin Keen, IBM Technology Apr 2023
Watch on YouTube youtube.com →A digestible video walkthrough of the landmark OpenAI hallucination paper.
YouTube AI explainer Sep 2025
Watch on YouTube youtube.com →A step-by-step on-screen demo of verifying an AI answer claim by claim.
YouTube tutorial Mar 2025
Watch on YouTube youtube.com →Researchers debate what the hallucination paper actually means for everyday users.
IBM Mixture of Experts Sep 2025
Open ibm.com →OpenAI's own research on why models bluff: training rewards guessing over admitting uncertainty.
OpenAI Sep 2025
Open openai.com →The story behind the hallucination tracker and what patterns keep repeating.
Lars Daniel, Forbes Jul 2025
Open forbes.com →The largest study of AI answer accuracy: 3,000 responses, 18 countries, sobering numbers.
EBU / BBC Oct 2025
Open ebu.ch →A readable summary of which assistants failed worst and on what.
Journalism.co.uk Oct 2025
Open journalism.co.uk →A trusted institutional primer on why hallucinations happen and practical mitigations.
MIT Sloan Teaching & Learning Technologies Mar 2024
Open mitsloanedtech.mit.edu →Six concrete habits, including deliberately asking the model for contradicting evidence.
Forbes Technology Council May 2025
Open forbes.com →A master practitioner reframes the real risk: errors that look plausible and are never checked.
Simon Willison Mar 2025
Open simonw.substack.com →A rigorous reference with famous real-world examples to share with your team.
IBM Sep 2024
Open ibm.com →Shows the fix is process discipline, not abandoning the tools; directly transferable to founders.
Thomson Reuters Institute Jun 2025
Open thomsonreuters.com →Librarians teach lateral reading, the single most useful verification technique.
Virginia Commonwealth University Libraries Aug 2024
Open guides.library.vcu.edu →Explains why models invent perfectly formatted citations to papers that never existed.
Citely Mar 2025
Open citely.ai →A running tally of what unverified AI output costs professionals in the real world.
GC AI Jan 2026
Open gc.ai →A consultancy-grade playbook on prompting and retrieval patterns that reduce fabrication.
Devoteam Apr 2025
Open devoteam.com →1,700+ real court cases where fake AI citations got people sanctioned; the best cautionary tale on the internet.
Damien Charlotin May 2025
Open damiencharlotin.com →Categorizes why people got caught (time pressure, lack of training), a mirror for your own habits.
Natural & Artificial Law Aug 2025
Open naturalandartificiallaw.com →The same ground, over in Understand your customers, our Starting Up track.