The best articles by Ciro Santilli Updated 2025-02-22 +Created 1970-01-01
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These are the best articles ever authored by Ciro Santilli, most of them in the format of Stack Overflow answers.
Ciro posts update about new articles on his Twitter accounts.
A chronological list of all articles is also kept at: Section "Updates".
Some random generally less technical in-tree essays will be present at: Section "Essays by Ciro Santilli".
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Csound Updated 2025-02-22 +Created 1970-01-01
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XML file format (but with 99% of the action of interest in a domain-specific language on the CsInstruments and CsScore elements) that can be played and the reference implementation. Offers complex effects out-of-box apparently.
Allows you to easily define instruments with seemingly arbitrary mathematical functions, and then use them to play notes at given time intervals.
The instrument functions can be parametrized, and each note played can have different parameters.
The instrument definition actually defines a block diagram graph, much like a hardware synthesizer would.
Csound is so not-bloated that it contains an UI system. And it includes an interactive virtual MIDI keyboard that interacts with parameter knobs: www.csounds.com/manual/html/MidiTop.html
But hey, it's fun. And like any other good domain-specific language, debugging it is barbaric of course.
If only it had been written in Python... the array manipulation boilerplate would be likely perfect for NumPy, and this would have been exactly what Ciro Santilli wanted!
CSound states that one of its design goals is backward compatibility, and it shows. Some of the stuff is utterly arcane, e.g. you have to remember what GEN10, GEN11, etc. mean instead of having named enums.
It just worked on Ubuntu 20.04 no questions asked:
sudo apt install csound
git clone https://github.com/csound/csound
cd csound
git checkout 92409ecce053d707360a5794f5f4f6bf5ebf5d24
csound examples/xanadu.csd
which runs this file: github.com/csound/csound/blob/92409ecce053d707360a5794f5f4f6bf5ebf5d24/examples/xanadu.csd and this plays a relly cool sound demo:
Video 1.
Xanadu Csound demo
. Source.
Save to file instead of playing:
csound -o xanadu.wav xanadu.csd
or direct ogg output:
csound --ogg -o xanadu.ogg xanadu.csd
or pipe to stdout to FFmpeg TODO: stackoverflow.com/questions/64970503/how-to-pipe-csound-output-to-ffmpeg-for-conversion-without-an-intermediate-file
TODO find the most amazing set of songs made with it on GitHub? Some examples:
Documentation-wise, it's a bit lacking. The only dude who can explain it really well, Dr Richard Boulanger, made the "The Csound Book" closed source, so, congrats, this will forever hurt the popularity of Csound.
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Keep debug notes Updated 2025-02-22 +Created 1970-01-01
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When debugging complex software, make sure to keep notes of every interesting find you make in a note file, as you extract it from the integrated development environment or debugger.
Especially if your memory sucks like Ciro's.
This is incredibly helpful in fully understanding and then solving complex bugs.
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Molecular biology technologies Updated 2025-02-22 +Created 1970-01-01
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As of 2019, the silicon industry is ending, and molecular biology technology is one of the most promising and growing field of engineering.
Figure 1.
42 years of microprocessor trend data by Karl Rupp
. Source. Only transistor count increases, which also pushes core counts up. But what you gonna do when atomic limits are reached? The separation between two silicon atoms is 0.23nm and 2019 technology is at 5nm scale.
Such advances could one day lead to both biological super-AGI and immortality.
Ciro Santilli is especially excited about DNA-related technologies, because DNA is the centerpiece of biology, and it is programmable.
First, during the 2000's, the cost of DNA sequencing fell to about 1000 USD per genome in the end of the 2010's: Figure 2. "Cost per genome vs Moore's law from 2000 to 2019", largely due to "Illumina's" technology.
The medical consequences of this revolution are still trickling down towards medical applications of 2019, inevitably, but somewhat slowly due to tight privacy control of medical records.
Figure 2.
Cost per genome vs Moore's law from 2000 to 2019
. Source.
Ciro Santilli predicts that when the 100 dollar mark is reached, every person of the First world will have their genome sequenced, and then medical applications will be closer at hand than ever.
But even 100 dollars is not enough. Sequencing power is like computing power: humankind can never have enough. Sequencing is not a one per person thing. For example, as of 2019 tumors are already being sequenced to help understand and treat them, and scientists/doctors will sequence as many tumor cells as budget allows.
Then, in the 2010's, CRISPR/Cas9 gene editing started opening up the way to actually modifying the genome that we could now see through sequencing.
What's next?
Ciro believes that the next step in the revolution could be could be: de novo DNA synthesis.
This technology could be the key to the one of the ultimate dream of biologists: cheap programmable biology with push-button organism bootstrap!
Just imagine this: at the comfort of your own garage, you take some model organism of interest, maybe start humble with Escherichia coli. Then you modify its DNA to your liking, and upload it to a 3D printer sized machine on your workbench, which automatically synthesizes the DNA, and injects into a bootstrapped cell.
You then make experiments to check if the modified cell achieves your desired new properties, e.g. production of some protein, and if not reiterate, just like a software engineer.
Of course, even if we were able to do the bootstrap, the debugging process then becomes key, as visibility is the key limitation of biology, maybe we need other cheap technologies to come in at that point.
This a place point we see the beauty of evolution the brightest: evolution does not require observability. But it also implies that if your changes to the organism make it less fit, then your mutation will also likely be lost. This has to be one of the considerations done when designing your organism.
Other cool topic include:
It's weird, cells feel a lot like embedded systems: small, complex, hard to observe, and profound.
Ciro is sad that by the time he dies, humanity won't have understood the human brain, maybe not even a measly Escherichia coli... Heck, even key molecular biology events are not yet fully understood, see e.g. transcription regulation.
One of the most exciting aspects of molecular biology technologies is their relatively low entry cost, compared for example to other areas such as fusion energy and quantum computing.
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