Video 1.
How To Build A Quantum Computer by Lukas's Lab (2023)
. Source.
Super quick overview of the main types of quantum computer physical implementations, so doesn't any much to a quick Google.
He says he's going to make a series about it, so then something useful might actually come out. The first one was: Video "How to Turn Superconductors Into A Quantum Computer by Lukas's Lab (2023)", but it is still too basic.
The author's full name is Lukas Baker, www.linkedin.com/in/lukasbaker1331/, found with Google reverse image search, even though the LinkedIn image is very slightly different from the YouTube one.
As of 2023 he was a PhD student at NYU.
Polynomial Updated 2025-07-16
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 Also as of December 2023 the list is already outdated, e.g. P5 is now shown, though it is mentioned at: aws.amazon.com/ec2/instance-types/p5/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.
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
Markdown Updated 2025-07-16
The questions are: who is this Mark, and why does he have to go down?
Magic: The Gathering is too expensive Updated 2025-07-16
Ciro thinks this is idiotic, and that Wizards should sell all cards individually with unlimited supply and all with the same prices, especially online where there are no printing costs. But because Wizards made the silly promise never to reprint certain cards with the reserved list in 1994, they can't even correct this mistake legally! (TODO maybe, see further discussion at: www.mtggoldfish.com/articles/contract-from-below-promissory-estoppel-and-the-reserved-list). There is however one simple solution: create and promote a new no reserve list format, and let reserve list formats rot away:
One interesting outcome of this would be to have card cost limited formats. Penny Dreadful puts a super low limit, on individual cards, but it would be cool to have a max cost per deck version of it.
A cool thing is when they printed Garth One-Eye, which allows you to make imaginary copies of some of those restricted list cards during play. This is the type of "flirting with the rules", that Ciro Santilli admires. The introduction of online-only cards such as XXX has pushed that even further as of 2021.
This was especially insane when Ciro was young and the Internet was not very widely available in Brazil yet, and Ciro did not know how to check the values of cards on online markets, and would trade cards with older much more knowledgable teenagers, based solely on his appraisal of a card's strength! Can you imagine how many young Timmys got ripped off in this manner, trading useless one million mana spells for ultra expensive black lotuses?
There is however one good solution to Magic's insane cost: watch people who have nothing better to do in their lives play on YouTube.
And as Internet formats dominate more and more, if they have any brains at will they will migrate to a subscription model where you pay to play for a given period of time, and have immediate access to all cards. It could even be a tiered access, with older formats being more expensive (more bugs to fix on different cards), but you must get access to all cards of a format at once.
Video 1.
The Tarmogoyf Scandal by Nikachu MTG (2021)
Source.
Project-based learning Updated 2025-07-16
There is just one key gotcha: the project has to be useful.
Tux (mascot) Updated 2025-07-16

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