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Ever wondered why ChatGPT sometimes invents facts, sources, or entire stories? In this episode of AI for the 99%, we break down the phenomenon of AI hallucinations—why they happen, how they can impact your work, and most importantly, how to protect yourself from them.
From a lawyer’s embarrassing courtroom moment to strange travel advice about Hamelin, we explore real-world examples of AI gone wrong. You’ll learn the role of probability in AI outputs, why context matters, and the critical steps every entrepreneur, freelancer, and startup should take to avoid costly mistakes.
Key Highlights
Why AI chatbots sometimes make things up
The dice-roll metaphor that explains every ChatGPT output
Famous cases of AI hallucinations—from courtrooms to government tax policies
Practical tips: using multiple models, giving better context, and always checking sources
Why AI struggles with math and logic (and what to do instead)
Quotes from the Episode
“ChatGPT doesn’t know what it writes—it just throws a 90,000-sided dice and fills in the blank.”
“Never publish without checking—always verify AI outputs, either with another model or by yourself.”
“It’s not that the machine does something purposefully wrong—it’s just a matter of probability.”
📧 And Don't forget to subscribe to our newsletter!
🎧 About the HostDietmar is deep into AI stuff with his digital marketing agency and is one of the top AI podcasters with Beginner’s Guide to AI.Connect with him on LinkedIn
By Dietmar FischerEver wondered why ChatGPT sometimes invents facts, sources, or entire stories? In this episode of AI for the 99%, we break down the phenomenon of AI hallucinations—why they happen, how they can impact your work, and most importantly, how to protect yourself from them.
From a lawyer’s embarrassing courtroom moment to strange travel advice about Hamelin, we explore real-world examples of AI gone wrong. You’ll learn the role of probability in AI outputs, why context matters, and the critical steps every entrepreneur, freelancer, and startup should take to avoid costly mistakes.
Key Highlights
Why AI chatbots sometimes make things up
The dice-roll metaphor that explains every ChatGPT output
Famous cases of AI hallucinations—from courtrooms to government tax policies
Practical tips: using multiple models, giving better context, and always checking sources
Why AI struggles with math and logic (and what to do instead)
Quotes from the Episode
“ChatGPT doesn’t know what it writes—it just throws a 90,000-sided dice and fills in the blank.”
“Never publish without checking—always verify AI outputs, either with another model or by yourself.”
“It’s not that the machine does something purposefully wrong—it’s just a matter of probability.”
📧 And Don't forget to subscribe to our newsletter!
🎧 About the HostDietmar is deep into AI stuff with his digital marketing agency and is one of the top AI podcasters with Beginner’s Guide to AI.Connect with him on LinkedIn