RDNA Updated 2025-07-16
These were found by running object detection software for some porn/nudity detection. We need to run some more, all sex was likely missed: github.com/GantMan/nsfw_model/issues/160
These dudes are relentless!!!
Video 1.
How the Winklevoss twins' crypto program failed by Good Work (2023)
. Source.
In this section we document events that led to a large number of thematically related messages being added to the chain e.g. referencing some current event that happened, as opposed to the media encoding/type like images and text sections.
The "Hitler did nothing wrong" meme[ref] is repeated several times, e.g.: tx 41967a7d75e9e1ca8c142a45ce29ea08b451a3b55c3e33538f5cc8a389ec66ab (2015-07-20):
EW Hitler did nothing wrong.
This one is also an Eternity Wall message. The message had also been previously Base58 encoded at address 1HitLerDidNothingWrongggggghJewfv in two different instances:
Brazil:
  • tx 1c05bb7c0a8c9498d33a1e6d4a91bbb4c651daa5ea5a21aa5c8c600d3300b8bb Viva Brazil's Impeachment!
  • tx 105fb3a0be8ab50bfa36012e0319a752dee39702cb44f3904cf423eb20367d57 contains a misogenous joke:
    A mulher feia so tem uma coisa a oferecer,uma boa foda(Diego Silva de Oliveira)
    which translates to:
    Ugly women only have one thing to offer, a good fuck
    It is attributed to Diego Silva de Oliveira, possibly this football player: en.wikipedia.org/wiki/Diego_Silva_(footballer,_born_1990)
  • c72dc315a5504362d01f2dcdfe77826d14a9eb3411b83edd7aa782e95e4a7794 via cryptograffiti.info:
    NÓS DISSEMOS SIM
    AGÊNCIA TRANSITIVA 2015
    
    Nota pública de reconhecimento do Acordo Reconformado, assinado pela Agência Transitiva e
    pela Escola de Artes Visuais do Parque Lage, em 22 de Abril de 2015.
    
    #ENCRUZILHADA
    EAV PARQUE LAGE
    22.04.2015
  • 1c05bb7c0a8c9498d33a1e6d4a91bbb4c651daa5ea5a21aa5c8c600d3300b8bb via cryptograffiti.info:
    Viva Brazil's Impeachment!
Our indexer does not handle UTF-8, here's a collection of some UTF-8 messages we've stumbled upon somewhat randomly:
Arabic:
  • 7eb561f2139761064de20033fa4843f1f3e1a9551268704b36f84d94e66fd91a
    يا سلم!
    شعرك جميل
    و عينيك حلوة
    انا عطشان
    اِروني من عينيك
    O peace!
    Your hair is beautiful
    And your eyes are beautiful
    I'm thirsty
    Show me from your eyes
  • b7376cae03b88392e5fd0292bcb43105386fbb534fc9be68c1e3d0b8f39e5ba4 via cryptograffiti.info
    sjalom, salaam, peace!
    الدين
  • 7a898b7e6b2145f4f887e1ff890d0b613e3008fbe350aa92662735e3acd0c0bc
    هذه رسالة من المستقبل
    إلى الماضي ...
    الحياة صعبة في المستقبل
    رعاية العالم
    وتحمل المسؤولية
    /y
    This is a message from the future
    To the past...
    Life is difficult in the future
    Caring for the world
    And take responsibility
    /y
Russian:
  • 1dcd62c922eb1ddbc1f58615b6271d64736bf55e83408cef02a7d0ac6707e423 via cryptograffiti.info
    А на Земле Быть Добру!
    And on Earth To Be Good!
  • 596cc6e905a5fc8248cf59198a19ce5070228b302a9f3a993197e2c87ddcaf14 via cryptograffiti.info
    Книга Вечно Живущих открыта
    The Book of the Ever-Living is open
  • 596cc6e905a5fc8248cf59198a19ce5070228b302a9f3a993197e2c87ddcaf14 via cryptograffiti.info
    Это тест, сука блять.
    This is a test, motherfucker.
  • ed56ef68ccbfb1d47bc159fb62fab6807ee4d7363d0ad4cded2e922a5b47362e via cryptograffiti.info
    Путин хуйло лалалалалалалалалал
    Putin sucks lalalalalalalalala
Chinese:
Japanese:
  • ac2ad7c15162a8e461387b0d0d681bb5f81f2db1138b8f200b81bbc585bd0b8f via cryptograffiti.info:
    モキーのフラッシュバン許すな
    Don't forgive Moky's flashbang
Hebrew:
  • 0b32736592ce7abdd4d971bc4591544e1610ff51f498c9a14a6ba34a3abcad5d via cryptograffiti.info
    חתימה טובה לכולם בכלל ולחברי ביטקוין ישראלי בפרט.
    A good signature for everyone in general and Israeli Bitcoin members in particular.
  • d7b80c8fefc88cc3f06d74f8496e2dc6f44b5f5f0a59f9ba1ba27266848a8666 via cryptograffiti.info contains what appears to be UTF-8 Hebrew text on my terminal, but Google Translate couldn't translate it, so we are unsure.
Davinci Jeremie Updated 2025-07-16
Video 1.
Just buy $1 worth of Bitcoin please! by Davinci Jeremie (2013)
Source.
Amazon EC2 GPU Updated 2025-07-16
As of December 2023, the cheapest instance with an Nvidia GPU is g4nd.xlarge, so let's try that out. In that instance, lspci contains:
00:1e.0 3D controller: NVIDIA Corporation TU104GL [Tesla T4] (rev a1)
so we see that it runs a Nvidia T4 GPU.
Be careful not to confuse it with g4ad.xlarge, which has an AMD GPU instead. TODO meaning of "ad"? "a" presumably means AMD, but what is the "d"?
Some documentation on which GPU is in each instance can seen at: docs.aws.amazon.com/dlami/latest/devguide/gpu.html (archive) with a list of which GPUs they have at that random point in time. Can the GPU ever change for a given instance name? Likely not. Also as of December 2023 the list is already outdated, e.g. P5 is now shown, though it is mentioned at: aws.amazon.com/ec2/instance-types/p5/
When selecting the instance to launch, the GPU does not show anywhere apparently on the instance information page, it is so bad!
Also note that this instance has 4 vCPUs, so on a new account you must first make a customer support request to Amazon to increase your limit from the default of 0 to 4, see also: stackoverflow.com/questions/68347900/you-have-requested-more-vcpu-capacity-than-your-current-vcpu-limit-of-0, otherwise instance launch will fail with:
You have requested more vCPU capacity than your current vCPU limit of 0 allows for the instance bucket that the specified instance type belongs to. Please visit aws.amazon.com/contact-us/ec2-request to request an adjustment to this limit.
When starting up the instance, also select:
Once you finally managed to SSH into the instance, first we have to install drivers and reboot:
sudo apt update
sudo apt install nvidia-driver-510 nvidia-utils-510 nvidia-cuda-toolkit
sudo reboot
and now running:
nvidia-smi
shows something like:
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 525.147.05   Driver Version: 525.147.05   CUDA Version: 12.0     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  Tesla T4            Off  | 00000000:00:1E.0 Off |                    0 |
| N/A   25C    P8    12W /  70W |      2MiB / 15360MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+
From there basically everything should just work as normal. E.g. we were able to run a CUDA hello world just fine along:
nvcc inc.cu
./a.out
One issue with this setup, besides the time it takes to setup, is that you might also have to pay some network charges as it downloads a bunch of stuff into the instance. We should try out some of the pre-built images. But it is also good to know this pristine setup just in case.
We then managed to run Ollama just fine with:
curl https://ollama.ai/install.sh | sh
/bin/time ollama run llama2 'What is quantum field theory?'
which gave:
0.07user 0.05system 0:16.91elapsed 0%CPU (0avgtext+0avgdata 16896maxresident)k
0inputs+0outputs (0major+1960minor)pagefaults 0swaps
so way faster than on my local desktop CPU, hurray.
After setup from: askubuntu.com/a/1309774/52975 we were able to run:
head -n1000 pap.txt | ARGOS_DEVICE_TYPE=cuda time argos-translate --from-lang en --to-lang fr > pap-fr.txt
which gave:
77.95user 2.87system 0:39.93elapsed 202%CPU (0avgtext+0avgdata 4345988maxresident)k
0inputs+88outputs (0major+910748minor)pagefaults 0swaps
so only marginally better than on P14s. It would be fun to see how much faster we could make things on a more powerful GPU.
pyBullet Updated 2025-07-16
Became very popular as of result of people using Bullet Physics for reinforcement learning AI training robot simulations.
Source code: somewhere inside the main Bullet Physics source tree. Yay.
Two-stage P2SH inscription Updated 2025-07-16
To decode these, we throw away the last tx and the last constant of each input, e.g.:
btc getrawtransaction 033d185d1a04c4bd6de9bb23985f8c15aa46234206ad29101c31f4b33f1a0e49 true | jq -r '.vin[].scriptSig.asm' | head -n -1 | sed -r 's/ [^ ]+$//' | tr -d '\n'  | xxd -r -p > tmp.jpg

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