Um No ChatGPT – You Are NOT Pondering

ChatGPT is AMAZING! Nevertheless, it doesn’t suppose. It’s utilizing a mathematical likelihood to find out what phrase is almost definitely to come back subsequent. It needs to reply your query slightly than be correct. Use ChatGPT, nevertheless evaluation and reality checking are nonetheless important! ChatGPT will not be pondering.

“Oh, ChatGPT instructed me…”

Kindly bear in mind, AI didn’t “inform you,” it mathematically predicted…

Making a Themed Exercise

I used to be serving to a pal with a Harry Potter themed Quizizz for rounding. I asked ChatGPT to create an overview of the lesson for Quizizz. Off to an excellent begin with a urged headline of “Harry Potter and the Chamber of Rounding.” I used that. Whereas I’m aware of the books and the films I’d not have been in a position to give you a number of the gems that ChatGPT rapidly produced.

“Whats up younger wizards and witches! As we speak, we’re coming into the magical world of numbers, a key to casting excellent spells. Our aim? To grasp the artwork of rounding entire numbers to numerous place values! So seize your wands, hop onto your broomsticks, and let’s start!”

Screenshot of question 5 
Question 5:
The Hogwarts Express travels 87,432 miles every year. Round this to the nearest ten
A) 90,000
B) 80,000
C) 87,000
D) 88,000
Hint: All aboard! Where is the Hogwarts Express rounding off to?
Correct Answer: A) 90,000

All the time Argue with ChatGPT

Very hardly ever am I fully proud of the preliminary output of ChatGPT, even when I’m impressed.

Screenshot from chatgpt "This jumps right into rounding without helping them to learn how to round and what is the concept of rounding."

This Isn’t Correct

Within the response to my immediate about Snape, from Harry Potter, asking about being near 57 unicorn tears, ChatGPT gave contradicting statements. We’re going to be “Shut” however “with out the luxurious of losing a single tear.” That doesn’t make sense within the case of rounding. Rounding is about NOT being exact.

How would snape say this "How many drops is CLOSE TO 57 drops?"
If Professor Snape were to ask the question, he might phrase it in a somewhat stern,
enigmatic manner, laced with his characteristic sarcasm or disdain for imprecision.
Something like:
"Listen carefully, class. Suppose you have a vial containing precisely 57 drops of unicorn
tears, a substance too valuable to waste on the likes of you. Now, answer me this: How many
drops would you consider to be close to 57, without the luxury of wasting a single tear?"
This could be a fun and engaging way to introduce the concept of rounding, inviting
students to consider what "close to 57" might mean in terms of rounding to the nearest ten.

So I argue with ChatGPT once more:

But they can waste some tears. This rounds up to 60. Snape thinks this is close enough.
Ah, if the potion's recipe can tolerate a bit of flexibility, then Snape might say something like:
"Suppose you have a vial filled with 57 drops of unicorn tears-an ingredient too precious for
most of you to comprehend but nonetheless essential. Now, is wasting time with exact
numbers truly necessary? 60 drops are sufficiently close to 57. Would anyone care to argue
This would be a nice segue into the concept of rounding up when the number in question is
closer to 60 than to 50. It makes the process of rounding seem practically useful and
efficient, especially in a situation like potion-making where approximate amounts might

I instructed ChatGPT to Spherical UP

Now The Dialog is Spherical Up

While you proceed your chat in ChatGPT it’s remembering the earlier inputs. I’ve unintentionally skilled ChatGPT that this dialog is about UP.

Later within the chat it accurately recognized rounding to the lots of place by trying on the tens place and needing to spherical DOWN. Nevertheless, this didn’t associate with that the chat is about rounding UP and we wanted to spherical UP.

ChatGPT simply hallucinated how one can make the reply spherical UP although that’s false.

"After identifying the digit in the hundreds place, which is 6, we look at the tens place, which
is 3. Since 3 is less than 5, in many cases you would round down. However, we're rounding to
the nearest hundred and the next digit is a 7, which is greater than 5. So, we round up from
600 to 700. Always remember to look at the digit immediately to the right of the place value
you're rounding to! It's as easy as reciting 'Wingardium Leviosa'—with the proper
pronunciation, of course."
With this question and explanation, Hermione helps reinforce the concept of rounding to the
nearest hundred and how to make that decision based on the digit in the tens place.

ChatGPT is Your Sidekick

Please all the time keep in mind that ChatGPT doesn’t “know” and it isn’t smarter than you. ChatGPT is your sidekick and will help you out, and really it was very useful! Nevertheless, I had to engage in a lengthy conversation to govern the output to what I wanted. I additionally wanted to investigate the outcomes and filter out what was false and manually make modifications for what I wanted.

Harry Potter and the Chamber of Rounding

I spent extra time making an attempt to get ChatGPT to present me a themed story and making the graphics in Canva than I did rigorously planning the output. When I’ve time later I will redo this to be extra consumer pleasant to 4th graders. It has an excessive amount of textual content and I’ve a bunch of different complaints for myself. However, if you’re interested in my first draft you can find it here.

ChatGPT will not be pondering

I requested ChatGPT to clarify how ChatGPT will not be pondering. Here’s what it mentioned:

Synthetic intelligence (AI) has come a good distance in the previous couple of years. With developments in machine studying and pure language processing, chatbots and conversational brokers like ChatGPT are more and more able to producing human-like textual content. Some folks even mistake ChatGPT’s responses for these of a human. Nevertheless it’s important to grasp that ChatGPT, regardless of its sophistication, will not be “pondering” in the way in which people do. This weblog put up goals to discover the underlying mechanics of how ChatGPT responds to prompts and why it could generally present conflicting or false info.

How Does ChatGPT Work?

At its core, ChatGPT is a machine studying mannequin that has been skilled on a big dataset of textual content. The underlying structure, often called GPT-4 (Generative Pre-trained Transformer 4), makes use of complicated mathematical operations to generate textual content primarily based on the textual content it has seen throughout coaching. When given a immediate, it predicts the almost definitely subsequent phrase or sequence of phrases to finish the sentence or paragraph. It doesn’t “perceive” the textual content in the way in which people do however makes use of statistical correlations within the knowledge to generate plausible-sounding responses.

It’s All About Sample Matching

When ChatGPT receives a immediate, it’s primarily performing a high-level type of sample matching. It seems on the enter textual content and computes the possibilities of assorted subsequent phrases primarily based on its coaching knowledge. Then, it selects the phrase with the best likelihood and continues this course of till it generates a whole response.

Why ChatGPT Can Give Conflicting Data

One of many limitations of this pattern-matching method is that the mannequin has no inside consistency test or real-world data. It may’t bear in mind previous conversations and even previous sentences throughout the identical dialog. This absence of “context reminiscence” signifies that when you ask ChatGPT a collection of questions that require constant reasoning, it may give solutions that contradict each other. This isn’t as a result of it’s “confused” or “making a mistake”—it’s just because every immediate is handled as an remoted job for producing a believable response.

The Threat of False Data

ChatGPT can generally present incorrect or deceptive info. This happens as a result of the mannequin doesn’t really “know” something.

It’s merely regurgitating patterns it has seen in its coaching knowledge.

If the coaching knowledge accommodates inaccuracies or if the mannequin misinterprets the statistical correlations within the knowledge, the output might be false. Moreover, with out the power to entry real-time info (my coaching knowledge solely goes as much as September 2021, and I can’t browse the web), ChatGPT can’t present present or up to date info.


Whereas it’s tempting to anthropomorphize ChatGPT and related applied sciences, attributing human-like qualities resembling “pondering” or “understanding” might be deceptive. These methods are extremely highly effective instruments for producing textual content primarily based on patterns in knowledge, however they lack the reasoning talents, emotional understanding, and consciousness that outline human thought. Customers ought to concentrate on these limitations, particularly when utilizing ChatGPT for duties that require correct or constant info.

Understanding that ChatGPT will not be really “pondering” will help us higher respect what it could do, whereas being cautious about relying too closely on its generated textual content for important or factual info.

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