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Um No ChatGPT – You Are NOT Thinking

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Um No ChatGPT – You Are NOT Thinking

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ChatGPT is AMAZING! However, it doesn’t assume. It is utilizing a mathematical chance to find out what phrase is most certainly to return subsequent. It desires to reply your query fairly than be correct. Use ChatGPT, nonetheless evaluation and reality checking are nonetheless important! ChatGPT is just not considering.

“Oh, ChatGPT told me…”

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

Creating a Themed Activity

I used to be serving to a good friend with a Harry Potter themed Quizizz for rounding. I requested ChatGPT to create a top level view of the lesson for Quizizz. Off to a very good begin with a prompt headline of “Harry Potter and the Chamber of Rounding.” I used that. While I’m acquainted with the books and the films I’d not have been capable of provide you with among the gems that ChatGPT rapidly produced.

“Hello young wizards and witches! Today, we are entering the magical world of numbers, a key to casting perfect spells. Our goal? To master the art of rounding whole numbers to various place values! So grab your wands, hop onto your broomsticks, and let’s begin!”

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

Always Argue with ChatGPT

Very not often am I utterly 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 Accurate

In the response to my immediate about Snape, from Harry Potter, asking about being near 57 unicorn tears, ChatGPT gave contradicting statements. We are going to be “Close” however “without the luxury of wasting 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
otherwise?"
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
suffice.

I informed ChatGPT to Round UP

Now The Conversation is Round Up

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

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

ChatGPT simply hallucinated how one can 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 all the time keep in mind that ChatGPT doesn’t “know” and it isn’t smarter than you. ChatGPT is your sidekick and may help you out, and actually it was very useful! However, I needed to interact in a prolonged dialog to control the output to what I wanted. I additionally wanted to research 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 offer me a themed story and making the graphics in Canva than I did rigorously planning the output. When I’ve time later I’ll 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, in case you’re curious about my first draft you’ll find it right here.

ChatGPT is just not considering

I requested ChatGPT to clarify how ChatGPT is just not considering. Here is what it stated:

Artificial intelligence (AI) has come a great 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 individuals even mistake ChatGPT’s responses for these of a human. But it’s important to grasp that ChatGPT, regardless of its sophistication, is just not “thinking” 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 may well generally 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, generally known as GPT-4 (Generative Pre-trained Transformer 4), makes use of advanced mathematical operations to generate textual content based mostly on the textual content it has seen throughout coaching. When given a immediate, it predicts the most certainly subsequent phrase or sequence of phrases to finish the sentence or paragraph. It doesn’t “understand” 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 Pattern Matching

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

Why ChatGPT Can Give Conflicting Information

One of the restrictions of this pattern-matching strategy is that the mannequin has no inside consistency verify or real-world information. It can’t bear in mind previous conversations and even previous sentences throughout the identical dialog. This absence of “context memory” implies that in case you ask ChatGPT a collection of questions that require constant reasoning, it might give solutions that contradict each other. This is just not 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 Risk of False Information

ChatGPT can generally 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 could be false. Additionally, with out the power 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.

Conclusions

While it’s tempting to anthropomorphize ChatGPT and related applied sciences, attributing human-like qualities comparable to “thinking” or “understanding” could be deceptive. These programs are extremely highly effective instruments for producing textual content based mostly on patterns in knowledge, however they lack the reasoning talents, emotional understanding, and consciousness that outline human thought. Users ought to pay attention to these limitations, particularly when utilizing ChatGPT for duties that require correct or constant data.

Understanding that ChatGPT is just not really “thinking” may help us higher respect 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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