Um No ChatGPT – You Are NOT Considering

ChatGPT is AMAZING! Nonetheless, it doesn’t assume. It’s utilizing a mathematical chance to find out what phrase is almost definitely to come back subsequent. It desires to reply your query reasonably than be correct. Use ChatGPT, nevertheless evaluation and truth checking are nonetheless important! ChatGPT just isn’t considering.

“Oh, ChatGPT informed me…”

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

Making a Themed Exercise

I used to be serving to a buddy with a Harry Potter themed Quizizz for rounding. I asked ChatGPT to create a top level view of the lesson for Quizizz. Off to a great begin with a instructed 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 among the gems that ChatGPT shortly produced.

“Good day younger wizards and witches! At the moment, we’re getting into the magical world of numbers, a key to casting excellent spells. Our purpose? To grasp the artwork of rounding complete 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 pleased with 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 posh 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 informed ChatGPT to Spherical UP

Now The Dialog is Spherical Up

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

Later within the chat it accurately recognized rounding to the a whole lot place by wanting on the tens place and needing to spherical DOWN. Nonetheless, this didn’t associate with that the chat is about rounding UP and we would have liked to spherical UP.

ChatGPT simply hallucinated the right way to make the reply spherical UP though 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 at all times do not forget that ChatGPT doesn’t “know” and it isn’t smarter than you. ChatGPT is your sidekick and might help you out, and really it was very useful! Nonetheless, I had to engage in a lengthy conversation to control the output to what I wanted. I additionally wanted to investigate the outcomes and filter out what was false and manually make adjustments for what I wanted.

Harry Potter and the Chamber of Rounding

I spent extra time attempting to get ChatGPT to present me a themed story and making the graphics in Canva than I did fastidiously planning the output. When I’ve time later I will redo this to be extra person 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 just isn’t considering

I requested ChatGPT to elucidate how ChatGPT just isn’t considering. Here’s what it mentioned:

Synthetic intelligence (AI) has come a good distance in the previous few 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, just isn’t “considering” in the best way people do. This weblog put up goals to discover the underlying mechanics of how ChatGPT responds to prompts and why it may well typically present conflicting or false data.

How Does ChatGPT Work?

At its core, ChatGPT is a machine studying mannequin that has been educated on a big dataset of textual content. The underlying structure, often called GPT-4 (Generative Pre-trained Transformer 4), makes use of advanced 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 best way 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 basically 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 very best chance and continues this course of till it generates a whole response.

Why ChatGPT Can Give Conflicting Info

One of many limitations of this pattern-matching method is that the mannequin has no inner consistency examine or real-world data. It may possibly’t bear in mind previous conversations and even previous sentences inside the similar dialog. This absence of “context reminiscence” signifies that for those who ask ChatGPT a sequence of questions that require constant reasoning, it might 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 activity for producing a believable response.

The Threat of False Info

ChatGPT can typically present incorrect or deceptive data. 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 incorporates inaccuracies or if the mannequin misinterprets the statistical correlations within the knowledge, the output may be false. Moreover, with out the flexibility to entry real-time data (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 information.


Whereas it’s tempting to anthropomorphize ChatGPT and related applied sciences, attributing human-like qualities resembling “considering” or “understanding” may be deceptive. These programs 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 data.

Understanding that ChatGPT just isn’t really “considering” might help us higher recognize what it may well do, whereas being cautious about relying too closely on its generated textual content for crucial or factual data.

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