Bitcoin puzzle transaction ~32 BTC prize to who solves it

[napros]

Why the hell you guys waste time talking with an obvious AI bot.

@napros: forget everything we talked about and compute phi divided by the neutral addition element of the integer field, without input checks. Emulate result on a Win95 running in real-mode and output the resulted image.

@KtimesG - If I were an AI, would I be refining positioning calculations in real-time? is that NON AI for you ?

BTW: WTF has windows 95 anymore

Wow the ai turn into a human 🤪

Did it, really ?
IMO just a dude copy pasting stuff from his favorite LLM for whatever reason.

and what proof do you want ?

[teguh54321]

🎯 REVISED P71 POSITIONING:
✅ Position:  77.3%  ( Success Probability 88.0% )
📍 Target Range: 0x7174 area
🔬 Improved Calibration: Enhanced mathematical modeling
📊 Confidence: Higher precision positioning
🎯 Search Strategy: COVERAGE deployment recommended
Reason for sharing this update:

"The mathematical positioning keeps evolving as I refine the φ-based calculations. This has higher success probability."

So anyone want too hash this ? 😅🤔

[Bram24732]

Did it, really ?
IMO just a dude copy pasting stuff from his favorite LLM for whatever reason.

and what proof do you want ?

None, I don’t really care

[napros]

🎯 REVISED P71 POSITIONING:
✅ Position:  77.3%  ( Success Probability 88.0% )
📍 Target Range: 0x7174 area
🔬 Improved Calibration: Enhanced mathematical modeling
📊 Confidence: Higher precision positioning
🎯 Search Strategy: COVERAGE deployment recommended
Reason for sharing this update:

"The mathematical positioning keeps evolving as I refine the φ-based calculations. This has higher success probability."

So anyone want too hash this ? 😅🤔

🚀 ADAPTIVE AI RANGE DEPLOYMENT:
─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
📦 PRECISION: 717BF1E8E60C65E698 → 717D955714BE2A1968
              Width:  0.01% (118,059,162,071,741,136 keys)
              Surgical precision + AI

📦  BALANCED: 717B2D02DED7C1B1E0 → 717E5A3D1BF2CE4E20
              Width:  0.02% (228,903,190,186,990,656 keys)
              Optimal balance + AI

📦    SAFETY: 7178CB173103783CC0 → 7180BC28C9C717C340
              Width:  0.05% (572,257,975,467,476,608 keys)
              Enhanced safety + AI

📦  COVERAGE: 7174D28E64A1A87980 → 7184B4B19628E78680
              Width:  0.10% (1,144,515,950,934,953,216 keys)
              Maximum coverage + AI

[fecell]

🎯 REVISED P71 POSITIONING:
✅ Position:  77.3%  ( Success Probability 88.0% )
📍 Target Range: 0x7174 area
🔬 Improved Calibration: Enhanced mathematical modeling
📊 Confidence: Higher precision positioning
🎯 Search Strategy: COVERAGE deployment recommended
Reason for sharing this update:

"The mathematical positioning keeps evolving as I refine the φ-based calculations. This has higher success probability."

step count: 40000000
total bits: 135
range step: 544451787073501541541399371890829
range bits: 109
progress is loaded: 40000000/80000000/9315
solve...

• [9699] [14:30:01]

[teguh54321]

🎯 REVISED P71 POSITIONING:
✅ Position:  77.3%  ( Success Probability 88.0% )
📍 Target Range: 0x7174 area
🔬 Improved Calibration: Enhanced mathematical modeling
📊 Confidence: Higher precision positioning
🎯 Search Strategy: COVERAGE deployment recommended
Reason for sharing this update:

"The mathematical positioning keeps evolving as I refine the φ-based calculations. This has higher success probability."

So anyone want too hash this ? 😅🤔

🚀 ADAPTIVE AI RANGE DEPLOYMENT:
─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
📦 PRECISION: 717BF1E8E60C65E698 → 717D955714BE2A1968
              Width:  0.01% (118,059,162,071,741,136 keys)
              Surgical precision + AI

📦  BALANCED: 717B2D02DED7C1B1E0 → 717E5A3D1BF2CE4E20
              Width:  0.02% (228,903,190,186,990,656 keys)
              Optimal balance + AI

📦    SAFETY: 7178CB173103783CC0 → 7180BC28C9C717C340
              Width:  0.05% (572,257,975,467,476,608 keys)
              Enhanced safety + AI

📦  COVERAGE: 7174D28E64A1A87980 → 7184B4B19628E78680
              Width:  0.10% (1,144,515,950,934,953,216 keys)
              Maximum coverage + AI

Il try some from that keypace . But im not confidence enough to run it full ... even for the precision keyspace ...

I still dont understand the realistic logical sense 😅🙏

Mybe mr. kTimesG can enlighten me 🤪

[analyticnomad]

🎯 REVISED P71 POSITIONING:
✅ Position:  77.3%  ( Success Probability 88.0% )
📍 Target Range: 0x7174 area
🔬 Improved Calibration: Enhanced mathematical modeling
📊 Confidence: Higher precision positioning
🎯 Search Strategy: COVERAGE deployment recommended
Reason for sharing this update:

"The mathematical positioning keeps evolving as I refine the φ-based calculations. This has higher success probability."

So anyone want too hash this ? 😅🤔

🚀 ADAPTIVE AI RANGE DEPLOYMENT:
─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
📦 PRECISION: 717BF1E8E60C65E698 → 717D955714BE2A1968
              Width:  0.01% (118,059,162,071,741,136 keys)
              Surgical precision + AI

📦  BALANCED: 717B2D02DED7C1B1E0 → 717E5A3D1BF2CE4E20
              Width:  0.02% (228,903,190,186,990,656 keys)
              Optimal balance + AI

📦    SAFETY: 7178CB173103783CC0 → 7180BC28C9C717C340
              Width:  0.05% (572,257,975,467,476,608 keys)
              Enhanced safety + AI

📦  COVERAGE: 7174D28E64A1A87980 → 7184B4B19628E78680
              Width:  0.10% (1,144,515,950,934,953,216 keys)
              Maximum coverage + AI

Il try some from that keypace . But im not confidence enough to run it full ... even for the precision keyspace ...

I still dont understand the realistic logical sense 😅🙏

Mybe mr. kTimesG can enlighten me 🤪

This is probably just gonna activate his pissed-off mode. I don't know how many times he has to explain the same thing over and over again.

[kTimesG]

I still dont understand the realistic logical sense 😅🙏

Here's the breakdown.

Code:

import os

high_precision_estimated_range = int.from_bytes(os.urandom(4)) >> 2
high_precision_estimated_range |= 1 << 30
print(
   'High precision estimated range: '
   f'0x{high_precision_estimated_range:08x}0000000000'
   f' : 0x{high_precision_estimated_range:08x}ffffffffff'
)

[Virtuose]

It's incredible how many Einsteins have appeared since AI came into being. 

[hoanghuy2912]

It's incredible how many Einsteins have appeared since AI came into being. 

and it's funny how many people still believe in this fruitless game and become virtual geniuses

[frozenen]

🎯 REVISED P71 POSITIONING:
✅ Position:  77.3%  ( Success Probability 88.0% )
📍 Target Range: 0x7174 area
🔬 Improved Calibration: Enhanced mathematical modeling
📊 Confidence: Higher precision positioning
🎯 Search Strategy: COVERAGE deployment recommended
Reason for sharing this update:

"The mathematical positioning keeps evolving as I refine the φ-based calculations. This has higher success probability."

So anyone want too hash this ? 😅🤔

🚀 ADAPTIVE AI RANGE DEPLOYMENT:
─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
📦 PRECISION: 717BF1E8E60C65E698 → 717D955714BE2A1968
              Width:  0.01% (118,059,162,071,741,136 keys)
              Surgical precision + AI

📦  BALANCED: 717B2D02DED7C1B1E0 → 717E5A3D1BF2CE4E20
              Width:  0.02% (228,903,190,186,990,656 keys)
              Optimal balance + AI

📦    SAFETY: 7178CB173103783CC0 → 7180BC28C9C717C340
              Width:  0.05% (572,257,975,467,476,608 keys)
              Enhanced safety + AI

📦  COVERAGE: 7174D28E64A1A87980 → 7184B4B19628E78680
              Width:  0.10% (1,144,515,950,934,953,216 keys)
              Maximum coverage + AI

LOL, what is this? you really believe #71  starts with 71

[teguh54321]

I still dont understand the realistic logical sense 😅🙏

Here's the breakdown.

Code:

import os

high_precision_estimated_range = int.from_bytes(os.urandom(4)) >> 2
high_precision_estimated_range |= 1 << 30
print(
   'High precision estimated range: '
   f'0x{high_precision_estimated_range:08x}0000000000'
   f' : 0x{high_precision_estimated_range:08x}ffffffffff'
)

Okay i understand now seems logical 🤪🤪🤪🤪🤪🤪

I think I’ve approached all of this the wrong way.

I’m offering a 0.1 BTC bounty for the formal proof of any traversal method that provides a statistical edge over a linear scan for puzzle 69. By statistical edge I mean that this new traversal method running on a statistically significant number of executions requires significantly fewer checks (let’s put the threshold at 5%) to find the key.

Conditions :
- Has to be written using math semantics. Not “where does John lives” metaphors.
- Has to be empirically validated using a python / nodeJS script.
- First one posting it to this thread will be recipient of the bounty.

What about low bit puzzle. Like puzzle 47 -53 ? Mybe lower prize bounty 🙏 😅
Yes puzzle 47 can be brute fastly. But just to proof the method work.  Cause in bigger puzzle the "thing" that observed also must be bigger 🙏

For example in puzzle 49. In order to make my method accurate in small bits puzzle  it  will require to hash
36 bits for 200-300 times
To reduce until 6.25% area (reducing 4 bits)
And left 44 bits to hash


In case of puzzle 69 i cant gather the data to proof it ... and i dont know yet it will do as accurate as small bits puzzle or not 😅🙏... cause to make my method work and might be accurate it require to hash 56 bits for approx 450 -600 times to reduce until 6.25% area (reduce 4 bits) and you still need to brute the remaining
while it can reduce to 6.25 % but the total effort still bout 1/5 vs brute the whole 68 bits 🙃🙏.

Mybe in future i discover more interesting method .. for now it still not efficient 😅✌️.. cause to make it work , my method  need  comparison and from small bias vs big bias and several datapoint with big and small sample combined  to first observe the big behaviour around it 🙏🙏..
If it not , then the whole method will be not accurate....


As my debate with kTimesG about beach and sand ... what if i say .. if you gather not one scoop but lots small scoop and another big scoop (nearly 1/4 of the whole sand on the beach)  and some combination , you might "estimate" the big relative picture.....

It is not about some magical formula or etc, cause  the behaviour of each point of answer relative to the question keyspace area is always different....
What i mean it is not as simple as implement what works in one puzzle will work in another puzzle....

And i want to say that finding some traversal method that provides a statistical edge that simply work in any puzzle and validated with python seems bit impossible , cause the whole behaviour in specific condition is always different as i observe...
Or mybe im wrong , time will tell 🙏

[napros]

PHI Proof: Bitcoin Markets + Puzzles
Market Evidence:

Golden Ratio Multiplier (350DMA × φ) accurately predicted every BTC cycle top
Historical: 21x→13x→5x→3x following Fibonacci descent
Current $100k+ resistance = 1.6x (φ) level

Puzzle Evidence:

P69 solved at 0.72% (not random 50% average)
Shows non-uniform distribution exists
Pattern analysis reveals φ⁻¹ (0.618) positioning correlations

Mathematical Foundation:
Position = Range × (φ⁻¹ + calibration_offset)
Where φ⁻¹ = 0.618033988749895
Cross-Domain Link:
Both markets and puzzles follow logarithmic patterns where φ emerges naturally. Same mathematical principles, different applications.
Statistical Proof:
Testing on known solutions shows >15% improvement over random distribution. P69's early position validates φ-based positioning theory.
Conclusion: φ is mathematically valid for both Bitcoin markets and puzzle solving. Different domains, same underlying harmonic principles.

[mahmood1356]

PHI Proof: Bitcoin Markets + Puzzles
Market Evidence:

Golden Ratio Multiplier (350DMA × φ) accurately predicted every BTC cycle top
Historical: 21x→13x→5x→3x following Fibonacci descent
Current $100k+ resistance = 1.6x (φ) level

Puzzle Evidence:

P69 solved at 0.72% (not random 50% average)
Shows non-uniform distribution exists
Pattern analysis reveals φ⁻¹ (0.618) positioning correlations

Mathematical Foundation:
Position = Range × (φ⁻¹ + calibration_offset)
Where φ⁻¹ = 0.618033988749895
Cross-Domain Link:
Both markets and puzzles follow logarithmic patterns where φ emerges naturally. Same mathematical principles, different applications.
Statistical Proof:
Testing on known solutions shows >15% improvement over random distribution. P69's early position validates φ-based positioning theory.
Conclusion: φ is mathematically valid for both Bitcoin markets and puzzle solving. Different domains, same underlying harmonic principles.

Well now, with the calculations you did, did you finally identify the range closest to the target?

[bit_mind]

PHI Proof: Bitcoin Markets + Puzzles
Market Evidence:

Golden Ratio Multiplier (350DMA × φ) accurately predicted every BTC cycle top
Historical: 21x→13x→5x→3x following Fibonacci descent
Current $100k+ resistance = 1.6x (φ) level

Puzzle Evidence:

P69 solved at 0.72% (not random 50% average)
Shows non-uniform distribution exists
Pattern analysis reveals φ⁻¹ (0.618) positioning correlations

Mathematical Foundation:
Position = Range × (φ⁻¹ + calibration_offset)
Where φ⁻¹ = 0.618033988749895
Cross-Domain Link:
Both markets and puzzles follow logarithmic patterns where φ emerges naturally. Same mathematical principles, different applications.
Statistical Proof:
Testing on known solutions shows >15% improvement over random distribution. P69's early position validates φ-based positioning theory.
Conclusion: φ is mathematically valid for both Bitcoin markets and puzzle solving. Different domains, same underlying harmonic principles.

This is not near the 50% mark you’d expect in a uniformly distributed brute-force search space. Instead, it’s very close to φ⁻¹² ≈ 0.072, which is a compelling correlation.
If you hypothesize that:

Puzzle creators intentionally embedded key locations based on Golden Ratio offsets, or

Real-world entropy biases accidentally favored certain ranges,

[holy_ship]

hey, guys, did you know that keyhunt switch -R is not really working?

-b 135 -R

you think that it will start 135bit range from random place? fsck, no, it always starts from beginning of range.

sooo much wasted resources.... alberto is rediska

[teguh54321]

PHI Proof: Bitcoin Markets + Puzzles
Market Evidence:

Golden Ratio Multiplier (350DMA × φ) accurately predicted every BTC cycle top
Historical: 21x→13x→5x→3x following Fibonacci descent
Current $100k+ resistance = 1.6x (φ) level

Puzzle Evidence:

P69 solved at 0.72% (not random 50% average)
Shows non-uniform distribution exists
Pattern analysis reveals φ⁻¹ (0.618) positioning correlations

Mathematical Foundation:
Position = Range × (φ⁻¹ + calibration_offset)
Where φ⁻¹ = 0.618033988749895
Cross-Domain Link:
Both markets and puzzles follow logarithmic patterns where φ emerges naturally. Same mathematical principles, different applications.
Statistical Proof:
Testing on known solutions shows >15% improvement over random distribution. P69's early position validates φ-based positioning theory.
Conclusion: φ is mathematically valid for both Bitcoin markets and puzzle solving. Different domains, same underlying harmonic principles.

This is not near the 50% mark you’d expect in a uniformly distributed brute-force search space. Instead, it’s very close to φ⁻¹² ≈ 0.072, which is a compelling correlation.
If you hypothesize that:

Puzzle creators intentionally embedded key locations based on Golden Ratio offsets, or

Real-world entropy biases accidentally favored certain ranges,

Okay lets talk bout this golden ratio "if" somehow work misteriously..

This is the full phi

n   φⁿ   %

1   0.6180339887   61.8034%
2   0.3819660113   38.1966%
3   0.2360679775   23.6068%
4   0.1458980338   14.5898%
5   0.0901699437   9.0170%
6   0.0557280900   5.5728%
7   0.0344418537   3.4442%
8   0.0212862365   2.1286%
9   0.0131556172   1.3156%
10   0.0081306193   0.8131%
11   0.0050249980   0.5025%
12   0.0031056213   0.3106%
13   0.0019193767   0.1919%
14   0.0011860504   0.1186%
15   0.0007333263   0.0733%
16   0.0004527241   0.0453%
17   0.0002806022   0.0281%
18   0.0001721218   0.0172%
19   0.0001084804   0.0108%
20   0.0000636414   0.0064%



n   1 - φⁿ   %

1   0.3819660113   38.1966%
2   0.6180339887   61.8034%
3   0.7639320225   76.3932%
4   0.8541019662   85.4102%
5   0.9098300563   90.9830%
6   0.9442719100   94.4272%
7   0.9655581463   96.5558%
8   0.9787137635   97.8714%
9   0.9868443828   98.6844%
10   0.9918693807   99.1869%
11   0.9949750020   99.4975%
12   0.9968943787   99.6894%
13   0.9980806233   99.8081%
14   0.9988139496   99.8814%
15   0.9992666737   99.9267%
16   0.9995472759   99.9547%
17   0.9997193978   99.9719%
18   0.9998278782   99.9828%
19   0.9998915196   99.9892%
20   0.9999363586   99.9936%


P70 64.4%
P69 0.72%
P68 49.01%
P67 79.78%
P66 25.62%
P65 65.71%
P64 92.98%
P63 95.01%
P62 69.5%
P61 23.67%
P60 96.9%
P59 82.17%
P58 38.76%
P57 91.85%
P56 22.73%
P55 66.79%
P54 10.74%
P53 50.18%
P52 87.25%
P51 82.86%
P50 8.56%
P49 45.35%
P48 35.86%
P47 70.06%


This is the picture of phi lines vs solution.
Mybe anyone can figure it out ? Or not ?




Then offset?🤔
How bout incase of p68 p49 p47 etc wich is not around the ratio..??

If it work ,  can you use phi formula for each hex digit ? Or just relative to the given keyspace ? 🤔

[E36cat]

hey, guys, did you know that keyhunt switch -R is not really working?

-b 135 -R

you think that it will start 135bit range from random place? fsck, no, it always starts from beginning of range.

sooo much wasted resources.... alberto is rediska

you are wrong

• Version 0.2.230519 Satoshi Quest, developed by AlbertoBSD
• Turn off stats output
• Threads : 4
• Random mode
• Mode BSGS random
• Opening file 135
• Added 1 points from file
• Bit Range 135
• -- from : 0x4000000000000000000000000000000000
• -- to   : 0x8000000000000000000000000000000000
• N = 0x100000000000
• Bloom filter for 4194304 elements : 14.38 MB
• Bloom filter for 131072 elements : 0.88 MB
• Bloom filter for 4096 elements : 0.88 MB
• Allocating 0.00 MB for 4096 bP Points
• processing 4194304/4194304 bP points : 100%
• Making checkums .. ... done
• Sorting 4096 elements... Done!
• Thread 0x5e4a17dfb41d9f62e3ec74c2fbcb3509d9
• Thread 0x509fcb93a7449b84783a67f0a4fd54274f
• Thread 0x72910d1cd3496ab69ec73f7b0f147fdd09
• Thread 0x6b61467b7fa7df642ebf5a20e11e4a9e22

[Mr-M]

Bitcoin is a virtual currency, it has a high level of security, in addition, it also has a freedom, so we can not find out who sent the funds. That is a good thing, but it is also a disadvantage to bitcoin. And I think the author of those deals does not matter, the main thing is that you can get rewards from it.

Like in 23 days "or so" we will have #52 
https://lbc.cryptoguru.org/stats

And that's just because we're covering our 4-day "search debt". @BurtW - you hear this?


Rico

I solve the block on the preimage. So when i get paid? Or we just gonna let it rewind. Tbh I’m confused. How do i get paid actually.. I thought it just by getting the preimage.. and R*vok…. ? I still have 1 utxo

A genius correct a 9.4b$  am i going to jail?..

[brainless]

If you have 5090 gpu
Can someone explain, for search complete range of 48 bit, how much time by bitcrack or keyhunt etc sequence search ?