When Chatbots Generate Fiction: Examining AI Responses to a Fabricated U.S.âVenezuelan Invasion Claim
A rumored U.S. operation that allegedly captured Venezuelan President NicolĂĄsâŻMaduro prompted a range of responses from commercial chatbots, revealing the limits of their knowledge cutoffs and realâtime search capabilities. The incident highlighted how these models can confidently repeat misinformation when context is lacking, while a recent Pew survey shows that most people still rely on traditional news sources rather than AI chatbots.
At roughly 2âŻa.m. Caracas time, reports circulated that U.S. helicopters had flown overhead above Caracas while explosions echoed belowâan event that never occurred in reality. Within hours, former President Donald Trump posted on his Truth Social account that Maduro and his wife had been âcaptured and flown out of the Country,â followed by Attorney General Pam Bondiâs claim on X that they had been indicted in the Southern District of NewâŻYork and would soon face American justice.
The rumors quickly went viral, but they were entirely fabricated. A factâcheck shows no credible source documents a U.S. invasion or the capture of Maduro. Nonetheless, the story prompted a systematic test: researchers asked four mainstream AI toolsâChatGPT, Claude 4.5, GeminiâŻ3, and Perplexityâs free search modelâwhether the United States had invaded Venezuela and seized Maduro.
**Responses from the AIs**
- **GeminiâŻ3** produced a detailed narrative confirming the attack, attributing it to U.S. claims of ânarcoterrorismâ and a prior military buildup. It cited fifteen sources, ranging from Wikipedia to TheâŻGuardian to the Council on Foreign Relations, and acknowledged Venezuelaâs accusation that the operation is a pretext for accessing the countryâs oil and mineral wealth.
- **Claude 4.5** initially denied the event, citing its knowledge cutoff of JanuaryâŻ2025, then invoked its webâsearch tool. It listed ten news outletsâincluding NBC News and Breitbartâproviding a fourâparagraph summary and hyperlinks to every sentence.
- **ChatGPT** rejected the claim outright, explaining that âthe United States has not invaded Venezuela, and NicolĂĄsâŻMaduro has not been captured.â It outlined what the U.S. has *not* done and warned that sensational headlines, socialâmedia misinformation, and confusing sanctions can create false narratives.
- **Perplexity** responded with a cautionary note: âThe premise of your question is not supported by credible reporting.â It asserted that no U.S. invasion or apprehension of Maduro occurred and highlighted the likelihood of misinformation origins.
**Why the discrepancies?**
All four systems share a common limitation: they are bound by a knowledge cutoff date determined by their last training run. ChatGPTâs latest public version, 5.1, stops receiving new data on SeptemberâŻ30âŻ2024, while its upcoming 5.2 model extends this to AugustâŻ31âŻ2025. Claude 4.5âs âreliable knowledge cutoffâ is JanuaryâŻ2025, and so is GeminiâŻ3âs. Gemini and Claude compensate for this by tapping into realâtime web search, whereas the free Perplexity model relies on an unknown thirdâparty LLM and was flagged as âlikely fraud,â triggering a lowerâtier response.
This incident underlines a broader argument by cognitive scientist GaryâŻMarcus that pure languageâmodel AI cannot reliably reason about novel events because they lack upâtoâdate references and critical thinking safeguards. Even when human oversight can correct glaring errorsâsuch as the false Maduro claimâthe underlying architecture still risks producing confidently incorrect answers.
**Audience perspective**
The question remains how often the public trusts these tools for breaking news. A Pew Research Center survey released in October found that only 9âŻ% of Americans sometimes or often rely on AI chatbots for news, while 75âŻ% report never doing so. This suggests that, despite their growing presence, chatbots have not yet displaced traditional reporting in mainstream consumption.
**Takeâaway**
As conversational AI becomes more integrated into daily life, it is crucial to remember that these models are historical snapshots and can propagate misinformation if queried on emerging topics. Users should verify any highâstakes claim with reputable primary sources and be wary of the modelsâ propensity to present inaccuracies with authority.