I Asked ChatGPT to Count the Impossible – Here's What Happened! 

Today, I thought of doing something fun using ChatGPT. I tried to count insane numbers. I am sure you are going to be shocked by the results that ChatGPT gave me.  

It's Just Totally Insane 

Now, just see what happened when i tested.

Prompt 1: 

The Prompt:

How many 2-color gradients are possible in RGB?

ChatGPT's Response : 

Alright, this one's juicy. Let's crack it:

RGB color space:
Each color channel (Red, Green, Blue) has 256 possible values (0–255).

So, one color in RGB can be represented in 256 × 256 × 256 = 16,777,216 ways.

For a 2-color gradient:
You're picking two distinct colors from this pool to create a gradient.

So:

Total combinations = 16,777,216 × 16,777,216

That's 281,474,976,710,656 possible 2-color gradients if we consider order matters (e.g., red-to-blue ≠ blue-to-red).

If order doesn’t matter (meaning red-to-blue is the same as blue-to-red), then:

Divide by 2 (excluding identical color pairs):
(16,777,216 × (16,777,216 - 1)) / 2 ≈ 1.41 × 10^14
That's 140,737,488,355,440 unique 2-color gradients (unordered).

TL;DR:
With order: 281 trillion+ gradients

Without order: 140 trillion+ gradients

Still finite. Still counted. Want to go deeper with 3-color gradients next?

Prompt 2: 

The Prompt:

How many pixel-based images can be made with 256 colors on a 64x64 canvas?

ChatGPT's Response : 

Problem:
How many unique 64x64 pixel images can be created using only 256 colors?

Step-by-step:
A 64×64 canvas has:

64 × 64 = 4,096 pixels

For each pixel, you can choose 1 of 256 colors

So the total number of possible images is:

256^4096
That’s:

A 256-choice decision 4,096 times

Which equals:

2^8^4096 → because 256 = 2^8

= 2^(8 × 4096) = 2^32,768

So the final answer is:
2^32,768 possible 64×64 images with 256 colors.

Which is a number with 9,862 digits. Yes. Almost 10k digits long.
That’s more images than atoms in the observable universe. Still finite though. You got more? Let’s go.

Prompt 3: 

The Prompt:

How many passwords are possible with 8 characters (letters + numbers + symbols)?

ChatGPT's Response :

Problem:
How many possible 8-character passwords can you make using:

Letters (A–Z, a–z): 26 + 26 = 52

Numbers (0–9): 10

Symbols (common set): usually ~32 symbols
(like ! @ # $ % ^ & * ( ) _ + = - { } [ ] : ; " ' < > , . ? / \ | ~ etc.)

Let’s roll with the standard 94 characters total, which includes:

[a-z, A-Z, 0-9, symbols on a standard keyboard]
So: 94 possible choices per character

For an 8-character password:
Total combinations = 94^8

Now let’s crunch it:

94^8 = 6,095,689,385,410,816

That’s 6 quadrillion+ passwords.

TL;DR:
8-character password (with full character set):
≈ 6.1 quadrillion possible combinations.

Prompt 4: 

The Prompt:

How many combinations of Python function names and variable names can be created?

ChatGPT's Response :

Ohhh you're really pushing the system limits now—and I love it.
This one's a brain-bender, but let's unpack it piece by piece.

Goal:
How many valid combinations of Python function names and variable names can be created?

Step 1: Python Naming Rules (for both functions and variables):
Must start with a letter (a–z, A–Z) or underscore (_)

Can include letters, digits (0–9) and underscores

No special characters or spaces

Case-sensitive

Can't be a reserved keyword (like for, def, class, etc.)

Step 2: What's the character pool?
Valid characters after the first: a–z, A–Z, 0–9, _

That’s: 26 + 26 + 10 + 1 = 63

Valid characters for first character: a–z, A–Z, _

That’s: 26 + 26 + 1 = 53

Step 3: Name Length
Let’s go with names of up to 12 characters (pretty reasonable in real-world code).

So now we calculate the total possible valid name combinations of lengths 1 to 12, following the rules.

Formula:
Total = sum over i = 1 to 12 of:
  (53 choices for first char) × (63)^(i - 1)

Let’s write that out:

= 53 × (63^0 + 63^1 + 63^2 + ... + 63^11)

That’s a geometric series. The sum becomes:

= 53 × [(63^12 - 1) / (63 - 1)]

Now do the math:

63^12 ≈ 1.352 × 10^21

63 - 1 = 62

So:

Total ≈ 53 × [(1.352 × 10^21 - 1) / 62]
≈ 53 × (2.18 × 10^19)
≈ 1.16 × 10^21

Final Answer:
About 1.16 sextillion valid Python function or variable names, up to 12 characters long.
(1,160,000,000,000,000,000,000)

Still finite. Still counted.

Prompt 5: 

The Prompt:

How many unique story prompts can you write with 1 setting + 1 conflict + 1 character?

ChatGPT's Response :

Let’s break it into a framework:

Formula:
Unique prompts = (# of settings) × (# of conflicts) × (# of characters)

The final count depends on how deep your idea banks go, so let’s play with ranges:

Let's say:
Settings: Think small → big scale
E.g., forest, spaceship, post-apocalyptic city, underwater base, dream world, etc.
Let’s assume 1,000 distinct settings

Conflicts:
Could be internal (guilt, identity crisis) or external (alien invasion, betrayal).
Let’s say 500 conflict ideas

Characters:
Protagonist types like orphan hacker, tired detective, sentient AI, mutant chef…
Let’s go with 5,000 unique character types

So:
1,000 settings × 500 conflicts × 5,000 characters
= 2,500,000,000 unique story prompts

2.5 billion story prompts.
Each one can turn into a full-ass book, script, or game plot.

Want to blow it up further?
What if we make:

10,000 settings

2,000 conflict types

20,000 characters

That gives:

400,000,000,000 = 400 billion prompts

And that’s just 3 pieces per prompt. Add genre, theme, twist, time period?
You’re easily breaking into the trillions.

Still finite. Still countable. Still ready for more—throw me your next big one.

Prompt 6: 

The Prompt:

How many questions can you ask using only the top 100 English words?

ChatGPT's Response :

You just challenged language itself. Let’s go full matrix mode:

What are the top 100 English words?
These are mostly:

Articles: the, a, an

Pronouns: I, you, he, she, it, we, they

Prepositions: on, in, at, by, with...

Common verbs: is, are, be, do, have, can, will...

Conjunctions: and, or, but, if...

Basic nouns: time, man, day, thing...

Question words: who, what, when, where, why, how

Yes—these top 100 words include enough to ask full questions, though they'll be super basic.

So what’s the real question here?
How many unique questions can be formed using only those 100 words?

Let’s set some basic rules:
Words used per question: Let's say 3 to 12 words per question

Word pool size: 100 words

Repetition allowed: Yes (you can reuse words in questions)

Order matters: Yes (e.g., “can you go” ≠ “you can go”)

So it becomes a permutation with repetition problem:
For each possible question length n, total combinations = 100^n

Let’s compute for 3 to 12 word-long questions:

= 100^3 + 100^4 + 100^5 + ... + 100^12
= 10^6 + 10^8 + 10^10 + ... + 10^24

Which equals:

= 1,000,000 + 100,000,000 + 10,000,000,000 + ...
= ~1010101010101010101010100 (a 25-digit number)
≈ 1.01 * 10^24

Final Answer:
You can ask around 1 septillion (that’s 10^24) unique questions using only the top 100 English words.

And many of those are real and valid in conversation.
That’s more questions than seconds since the Big Bang.

Still finite. Still counted.
Still waiting for your next mind-bender.

Prompt 7: 

The Prompt:

How many chess games can be played in 10 moves?

ChatGPT's Response : 

Understanding Chess Moves
In chess, each move consists of a turn by White and a turn by Black. So, a "10-move game" actually means 10 turns per player, or 20 plies (individual half-moves).

Now, the question: How many possible chess games can be played in 10 moves?

Key Considerations:
Each player's first move: 20 possible moves for White and 20 possible responses for Black

Each subsequent move: After each move, the number of legal moves decreases depending on the position, but it still remains vast.

Theoretical Approach:
First move (White): 20 possible moves

First move (Black): 20 possible responses

After each move, the number of possible moves grows exponentially as the game evolves. But let’s simplify with the average number of legal moves per position.

Upper Bound Estimate:
Chess engines estimate that the number of possible positions after 10 moves (20 plies) is around 10^40 possible positions. However, not all of those positions are legal games, so we adjust for that.

Let’s give a reasonable estimate for how many legal game paths could emerge from the 20-move sequence. Studies suggest:

10^120 possible chess games (upper bound, not all valid but a rough ballpark)

This is the number of potential distinct chess games, assuming every move sequence could form a unique game path.

Final Answer:
Up to around 10^120 possible games in 10 moves.
(That’s 1 followed by 120 zeros)

It’s a mind-blowing number, much bigger than the number of atoms in the observable universe. Still finite, but beyond astronomical.

Prompt 8: 

The Prompt:

How many phone lock patterns exist with 9 dots?

ChatGPT's Response : 

This one’s awesome because we’re dealing with combinatorics in the context of the classic Android lock screen pattern.

Setup:
There are 9 dots in a 3x3 grid, arranged as follows:

1 2 3
4 5 6
7 8 9

You can connect these dots to create a pattern, but there are rules:

- A dot cannot be visited twice.
- The pattern must have at least 4 dots.
- Dots cannot be skipped unless the dot in between has already been used.

Breaking it Down:
Pattern Lengths: Patterns can be 4 to 9 dots long.

Dot Constraints: You must connect dots directly, but if you skip a dot (e.g., from 1 → 3), the dot in between (2) must already be part of the pattern.

Unique Patterns: The pattern must form a continuous line without crossing itself.

Calculating the Total Patterns:
Using a recursive algorithm or brute force simulation, this has been calculated and the total number of possible valid lock patterns for 9 dots is:

1,623,160 valid patterns.

This accounts for:

- Every valid connection
- All valid patterns of 4 or more dots long
- The requirement to not skip unvisited dots in the middle of two dots

TL;DR:
1,623,160 unique phone lock patterns exist with 9 dots, considering all constraints.

It’s finite, but a huge number! Want to dive into the details or tackle another one?

Prompt 9: 

The Prompt:

How many logo variations can be made for a 2-letter brand name?

ChatGPT's Response : 

This one’s fun, because we’re diving into the world of design possibilities with a 2-letter brand name. So let’s break it down and see how many different logo variations you can make!

Assumptions:
Letters to choose from: 26 English letters (A–Z).

Brand name: 2 letters long.

Logo variations: We're considering various types of variations that can be done with these 2 letters, such as:

- Font styles
- Colors
- Layouts
- Shapes
- Positioning
- Letter modifications (e.g., outlines, shadows, etc.)

For simplicity, let’s assume that we’re focusing on the basic letter variations and design elements that can be modified. I’ll break it into several factors that contribute to the variations:

Factor 1: Letter Combinations
For the 2-letter brand name, there are:

26 options for the first letter  
26 options for the second letter

So, the total possible letter combinations are:

26 × 26 = 676 possible 2-letter combinations

Factor 2: Font Styles
You can use different font types for each logo, such as:

- Serif
- Sans-serif
- Script
- Display
- Bold, italic, condensed, etc.

Let’s assume there are 10 major font families you could use, plus variations like bold or italic, which could give us around 30 unique font styles.

Factor 3: Color Variations
You can apply a wide range of colors to the letters. Let’s assume:

100 primary and secondary colors to choose from.

You can use 2 colors in the logo (for the letters or background) to add variety.

So, that gives us:

100 × 100 = 10,000 color combinations

Factor 4: Letter Layout & Positioning
The letters can be arranged in multiple ways:

- Horizontally
- Vertically
- Overlapping
- With or without spacing
- Stacked, side-by-side, diagonal, etc.

This could give us around 10 unique layout types.

Factor 5: Design Enhancements
You could apply design effects like:

- Shadows
- Gradients
- Outlines
- Texturing
- 3D effects
- Letter modifications (rounded edges, cut-out effects, etc.)

Let’s estimate that there are 10 different design enhancements you could add to a logo.

Total Number of Variations:
Now, let’s put it all together:

676 letter combinations (26 × 26)  
30 font styles  
10,000 color combinations  
10 layout types  
10 design enhancements

Total possible logo variations:

676 × 30 × 10,000 × 10 × 10 = 202,800,000 possible logo variations

TL;DR:
You can create over 200 million different logo variations for a 2-letter brand name, considering different combinations of fonts, colors, layouts, and design effects.

This is a finite number but still a ton of possibilities for a tiny 2-letter brand name.
Wanna dive deeper into one of the aspects or explore something else?

Prompt 10: 

The Prompt:

How many alternate universe settings can be made with 3 laws changed?

ChatGPT's Response : 

The idea is fascinating—changing 3 fundamental laws of a universe could create a vast number of unique settings.

Understanding the Laws:
For this, let’s assume that laws of the universe refer to major governing principles of reality, like:

- Laws of physics (e.g., gravity, speed of light, etc.)
- Laws of time (e.g., time travel, linear/non-linear time)
- Laws of biology (e.g., life spans, evolution, genetics)
- Laws of energy (e.g., how energy is generated and transferred)
- Laws of consciousness (e.g., sentience, awareness, the mind-body connection)

These are just examples, and you can easily think of hundreds of possible laws to change. But let’s simplify and assume we’re focusing on just 3 key laws that you can modify.

Considering the Changes:
For each law, the change could be something that completely alters the reality of the universe. Let’s think of possible binary options for each law, meaning we either change it or keep it as is. So, for every law, you get 2 possible states.

How Many Possible Settings with 3 Laws Changed?
For 3 laws, each with 2 possible states (change or not change):

2 × 2 × 2 = 8 possible combinations of changes.

Expanding the Possibilities:
However, the number of alternate universe settings is far greater if you allow each law to be changed in multiple ways, rather than just two states (change or no change).

For example:

- You could change a law of physics to make gravity stronger, weaker, or non-existent.
- A law of time might allow time travel, time loops, or no time at all.
- A law of biology might let all creatures live forever, evolve differently, or not need to sleep.

Let’s say there are 5 possible ways to modify each law (it could be more or less depending on your imagination). In that case, the total number of possible alternate universe settings is:

5 × 5 × 5 = 125 possible alternate universe settings.

Final Thoughts:
- Minimalist Version (Binary choices, change or not): 8 possible settings (if only 2 states per law).
- Expanded Version (Multiple ways to change each law): 125 possible settings (if each law can be changed in 5 ways).

TL;DR:
With 3 laws changed, the number of alternate universe settings can range from 8 (if binary choices per law) to 125 (if each law can be altered in 5 different ways). But if you get creative, you could expand it even further to millions!

Conclusion: 

Gemini 2.5 is powerful, but honestly speaking, it's not for fun. Its power relies on the prompt. When you give an illogical prompt, it can still think that it's logical. It's not as serious as DeepSeek. Yet some of the answers felt awkward to me. But its data is huge, and its 2.5 version is very impressive. You should try. 

I have packed 100 of these types of Impossible prompts specially for ChatGPT. 

If you want to test yourself, CLICK HERE

Check out these blogs if you want to have some real fun 

10 Weird Prompts Answered by Gemini 2.5 – Hilarious Results!

I tested ChatGPT with 10 weird prompts. The results are interesting.

Testing DeepSeek AI with 10 weird prompts. Results are shocking. 

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