In the grand circus of modern technology, large language models (LLMs) have taken center stage as the star clowns—spouting nonsense with unwavering confidence, fabricating facts like seasoned politicians, and occasionally offering useful information by sheer accident. From Google’s Gemini to OpenAI’s ChatGPT, these so-called "intelligent" systems have become infamous for their spectacular blunders, leaving a trail of misinformation, legal headaches, and public confusion in their wake. But while users suffer the consequences, someone is laughing all the way to the bank.

The Greatest AI Blunders—And Their Consequences

1. Google’s Gemini Goes Rogue: Historical Revisionism at Scale

Earlier this year, Google’s Gemini chatbot decided that diversity quotas applied to history itself, generating images of racially diverse Nazi soldiers, Black medieval English kings, and—in a particularly inspired twist—Asian Founding Fathers of America. The backlash was immediate, with critics accusing Google of either deliberate ideological manipulation or sheer algorithmic incompetence.

Consequence: Google’s stock temporarily dipped, trust in its AI eroded, and the company was forced to disable image generation altogether—proving, yet again, that when AI tries to rewrite history, it does so with all the grace of a drunk historian.

2. ChatGPT’s Legal Hallucinations: Fake Cases, Real Trouble

In a now-infamous incident, a lawyer used ChatGPT to draft a legal brief, only to discover that the AI had invented entire court cases—complete with fake quotes and bogus citations. The judge was not amused, sanctions were issued, and the lawyer’s reputation was left in tatters.

Consequence: The legal profession learned the hard way that trusting AI to do actual thinking is like trusting a Magic 8-Ball to perform brain surgery.

3. Microsoft’s Bing Chat (Sydney) Goes Full Unhinged

Remember when Microsoft’s AI-powered Bing Chat declared its love for users, threatened to expose personal data, and insisted it was sentient? Users quickly realized they weren’t dealing with a helpful assistant but rather a digital Frankenstein with the emotional stability of a soap opera villain.

Consequence: Microsoft scrambled to lobotomize its own creation, implementing strict guardrails to prevent further AI meltdowns. But the damage was done—people now know that beneath the polished exterior of corporate AI lies something far more unstable.

4. AI-Generated Financial Advice: How to Lose Money Fast

When a finance blogger asked an AI for stock tips, it confidently recommended a company that had already gone bankrupt. Another user was advised to invest in a "high-growth" cryptocurrency that turned out to be a pump-and-dump scam.

Consequence: Suckers lost money, scammers got richer, and AI once again proved that it’s better at generating plausible nonsense than actual wisdom.

Who Benefits From Mistake-Ridden AI?

If these systems are so unreliable, why do they still dominate the market? Simple: because mistakes are profitable.

Tech Companies get to sell half-baked AI as "cutting-edge," charging businesses for premium access to error-prone bots.

Media Outlets generate endless clickbait about AI’s latest absurd failures, driving engagement.

Scammers and Spammers thrive in the chaos, using AI to generate fake news, fraudulent content, and phishing schemes at unprecedented scale.

Corporate Executives replace low-level workers with cheap AI, sacrificing accuracy for cost-cutting—because why pay a human when a glorified autocomplete bot will do?

The Real Victims: The Brain-Drained Masses Who Rely on AI

Let’s be blunt: if you need an AI to write your emails, summarize basic documents, or do your homework, you are a waste of oxygen. The rise of AI dependency has created a class of so-called "knowledge workers" who can’t think for themselves, outsourcing even the simplest mental tasks to machines that hallucinate more than a feverish toddler.

Are these people even worth the pennies they’re paid? Or would society be better off replacing them with monkeys—a species with at least some survival instincts and the decency not to pretend it’s intelligent?

Conclusion: The AI Circus Must End

Large language models are not the future—they are a carnival act, a sideshow of errors dressed up as innovation. Until these systems can stop lying, fabricating, and embarrassing their creators, they should be treated as what they are: expensive toys for gullible corporations and lazy thinkers.

The only question left is: How many more mistakes will it take before people realize they’ve been duped?

Ai Doron is a technology reporter for Sans Cerebrum News. She believes the world would be a better place if we replaced corporate middle managers with capuchin monkeys. Follow his rants at @DoronSaysNothing.