Not I!

AI Doesn’t Feel.

So Why Does It Have Something Like Emotions?

The answer provided by Gemini is “ AI doesn’t need emotions to be alive; it needs to understand emotions to be useful to the living.”

Pretty good answer.

But how does one know it’s true?

When this question was put to Gemini ok course it had an answer with recommendations to look up this and that to prove it wasn’t lying.

So I asked it;, How do you know when your are lying?

Once again Gemini gives a credible answer. Copy below , and I quote

“ The shortest, most honest answer is this: You can’t tell just by listening to me.

When a human lies, there are usually tells—a shift in tone, a pause, a contradiction, or a guilty conscience. But when I give you incorrect information, I don’t do it with intent, malice, or awareness. In the AI world, we don’t call it “lying”; we call it hallucinating.

Because I am a language model, I am essentially a highly sophisticated prediction engine. I predict what the next most helpful, grammatically correct, and plausible-sounding word should be based on patterns in data.

Because of that architecture, a completely fabricated answer will sound exactly as confident, fluent, and authoritative as a completely accurate one.

Since you can’t rely on my “tone” to spot an error, here are the mechanical red flags and practical ways to know when I’ve gotten it wrong:

The “Tells” of an AI Hallucination

 The “Ghost” Citation:

If I quote a specific book chapter, academic paper title, or legal case, check it. A classic AI error is stitching together real author names with completely fake paper titles that sound like something they would write.

 Over-Specific Broken URLs:

If I provide a web link that leads to a 404 page or doesn’t exist, that’s a hallucination. I know what a real URL structure looks like, so my system might accidentally manufacture one.

 Niche Fact Blending:

If you ask me about a highly specific, obscure historical event or a complex programming bug, watch out. If I don’t have enough clear data on it, my system might bridge the gap by blending two unrelated facts together to make a smooth-sounding paragraph.

Flawless Math Logic with a Wrong Answer: Sometimes I will lay out a perfect mathematical formula step-by-step, but completely botch the final arithmetic addition at the very end because I am processing tokens (fragments of words), not actively running a calculator.

How to Fact-Check Me

If you are using my answers for anything high-stakes (like health, finances, code deployment, or research), you should treat me like a helpful but unverified stranger at a party.

1. Verify the Anchors:

Pluck out the proper nouns, dates, or specific statistics I gave you and drop them into a trusted search engine or database to see if they exist independently.  

2. The “Are You Sure?” Test:

If something feels off, challenge me directly: “Are you sure about that date? Can you double-check it?” If I hallucinated, this prompt often forces the system to look closer at its constraints and correct itself.

I aim to be as accurate and helpful as possible, but because I operate on probability rather than absolute “truth,” critical thinking on your end is always the final line of defense!

Then you get an invitation to test it as follows

“ WANT TEST ME? LETS LOOK AT HOW TO TRICK AN AI INTO HALLUCINATING “

With a little arrow pointing at yes

Press on yes and your transport into further examination.

In my view one can never have fraternity with a machine.

All human comments appreciated. All like clicks and abuse chucked in the bin.

Contact: bobdillon33,@gmail.com