Ciro Santilli @cirosantilli 37

Haven't found the one yet:

Optional but really ideal:

The state of messaging is ridiculous as of 2020.

Many/most companies are unable to give any beauty to its employees.

Hiring is simply a process of "let's get this money making project working ASAP", bring people in, without considering Brooks's law.

And then when that happens, companies put people in extremely narrow knowledge areas, making them unable to see or participate in the bigger picture of things, unless they spend 10 years there and reach architect status.

This is perhaps particularly painful for high flying birds like Ciro Santilli.

Companies need a higher top to down force that attempts to actually teach the business and tech to every employee to counter the low level manager get things done now pressure.

Companies that are able to do that, will have many more employees with a sense of purpose, and with the ability to innovate. Those companies will win.

Great reports to how 2022-Ciro Santilli views how OurBigBook.com could go. Ciro can't help to feel that he is a mixture of both of the vision, tech and people guy. Not as extreme as any of them, but more like a well rounded (and less good individually) version of each. High flying bird vs gophers.

Reviews:

Ciro Santilli's joke version of the Chinese Four Treasures of the Study!In the past, Ciro used to use file managers, which would be the fourth tresure. But he stopped doing so for years due to his cd alias... so it became three. He actually had exactly three windows open when he was checking if there was anything else he could not open hand of.

Of course, this only made sense when Apple was more of an underdog to IBM, and Ciro Santilli greatly admires their defiance of the norm.

As of 2020 however, Apple is kind of on the top of the mobile world, and Think different simply makes no sense anymore, notably because it relies on closed source offline software used by millions.

it's Popular Now It Sucks comes to mind.

This is a trap every company that prides itself on it's "alternative culture" sets for itself. If they succeed, they could become the norm.

The type of laser described at: Video "How Lasers Work by Scientized (2017)", notably youtu.be/_JOchLyNO_w?t=581. Mentioned at: youtu.be/_JOchLyNO_w?t=759 That point also mentions that 4-level lasers also exist and are more efficient. TODO dominance? Alternatives?

Bibliography:

The time-independent Schrödinger equation is a variant of the Schrödinger equation defined as:

So we see that for any Schrödinger equation, which is fully defined by the Hamiltonian $\hat{H}$, there is a corresponding time-independent Schrödinger equation, which is also uniquely defined by the same Hamiltonian.

The cool thing about the Time-independent Schrödinger equation is that we can always reduce solving the full Schrödinger equation to solving this slightly simpler time-independent version, as described at: Section "Solving the Schrodinger equation with the time-independent Schrödinger equation".

Because this method is fully general, and it simplifies the initial time-dependent problem to a time independent one, it is the approach that we will always take when solving the Schrodinger equation, see e.g. quantum harmonic oscillator.

Some key points that are a bit hard to grasp, at least in some versions:

The premise that "we can't make AGI, but we know enough about the human brain to upload on to a computer" is flawed. Edit: after reading Superintelligence by Nick Bostrom (2014), Ciro Santilli was convinced otherwise. What is flawed is of course just the "extracting connectome with macroscopic probes part". A post mortem connectome extraction with microtome is much more believable. But of course they weren't going to show fake slices of Jonny Depp's brain, are they? Famous actor bodies are sacred! What a huge lost opportunity. On the other hand however, the scale of the first connectome extraction would be arguably too huge to be undertaken by a random pair of rogue researchers. The same would also likely apply to any first time human brain connectome. It would much more likely be a huge public effort, much like the Human Genome Project.

But this film does have the merit of exploring how an AGI might act to take over the AGI might act to take over the world once created, notably by creating its own physical research laboratory. Though it doesn't feel likely that it could go under the radar for 2 years given the energetic requirements of the research. Even the terrorists find it before the FBI!

I also wish they had shown the dildo (or more likely, direct stimulation!) computerized Jonny Depp used to use with his wife before he managed to re-synthesized his body. But you know, 18+ would cut too much profits. Ah, what a shame.

The video folder is DCIM/Camera.

Current Wikipedia seems to say that this refers specifically to cells taking up DNA from other dead cells as in the Avery-MacLeod-McCarty experiment, excluding other types of horizontal gene transfer like bacterial conjugation

The term is sometimes just used a synonym for horizontal gene transfer in general it seems however.

They are actually inheritable! But alleles are rare: www.ncbi.nlm.nih.gov/pmc/articles/PMC5559844

In this section contains a list of images we could find that wre uploaded as raw data to the blockchain, without any special encoding, e.g. as done by the AtomSea & EMBII system.

It is possible that some/most of those were uploaded via the cryptograffiti.info system, but since that indexer stopped working, and since the format is so non-specific, it is not possible be sure as far as we can tell.

These images were indexed by looking for standard transaction output script hashes that contain JPEG or PNG images immediately on the first payload byte based on file signature bytes and indexed/easily downloaded at github.com/cirosantilli/bitcoin-inscription-indexer#image-indexing-and-download.

tx 976e0766ebe0528d44595170f83f46ab1304c0a3b809f16454ee9be0e816e3a3, block 921133 (2025-10-28) contains an OP_RETURN encoded MP4 AI generated video of Bitcoin Core developer Gloria Zhao standing up and showing her buttocks. This transaction takes up most of the block with an Ethereum tatoo on her lower back. Presumably it is from someone criticizing Gloria's design choices regarding inscriptions on the blockchain. Also mentioned at:

TODO decode:

Plutonium-based.

Its plutonium was produced at Hanford site.

Sometimes you get annoyed to death with your bike not breaking or changing gears perfectly as you would like, and the people at the bike shop never do the job well enough.

The problem with bike shops is that the employees are already swamped with work, and they don't get paid any extra for doing more work.

As a result, paradoxically, they are often happier, and respect you more if you are trying to get them to help you to fix your own bike!

Also, for the same reason, they don't have the time to go for a quick test ride after a fix to ensure that the bug was actually fixed.

So they ignore things that would obviously be huge ridability benefits (although they might not be obvious to newbie customers), for which customers would gladly pay more money for.

But you start to learn how to do stuff yourself and it feel amazing when you finally get there (after infinite trial and error).

Ciro dreams of a bike shop that actually calls you for the appointment and then teaches you how to fix the thing.

So the best strategy is to have a backup bicycle, and when your main one breaks, you just try to to the fix yourself. That means:

Then, if you fail to do the fix, that is OK, just take it to the bike shop, with the piece you've bought, and ask them to do it for you. At least this way you did not waste a golden opportunity to learn!

One of the companies that has fabs, which buys machines from companies such as ASML and puts them together in so called "silicon fabs" to make the chips

As the quintessential fabless fab, there is on thing TSMC can never ever do: sell their own design! It must forever remain a fab-only company, that will never compete with its customers. This is highlighted e.g. at youtu.be/TRZqE6H-dww?t=936 from Video "How Nvidia Won Graphics Cards by Asianometry (2021)".

A Turing machine decider is a program that decides if one or more Turing machines halts of not.

Of course, because what we know about the halting problem, there cannot exist a single decider that decides all Turing machines.

E.g. The Busy Beaver Challenge has a set of deciders clearly published, which decide a large part of BB(5). Their proposed deciders are listed at: discuss.bbchallenge.org/c/deciders/5 and actually applied ones at: bbchallenge.org.

But there are deciders that can decide large classes of turing machines.

Many (all/most?) deciders are based on simulation of machines with arbitrary cutoff hyperparameters, e.g. the cutoff space/time of a Turing machine cycler decider.

The simplest and most obvious example is the Turing machine cycler decider

mathoverflow.net/questions/309044/is-there-a-known-turing-machine-which-halts-if-and-only-if-the-collatz-conjectur suggests one does not exist. Amazing.

Intuitively we see that the situation is fundamentally different from the Turing machine that halts if and only if the Goldbach conjecture is false because for Collatz the counter example must go off into infinity, while in Goldbach conjecture we can finitely check any failures.

Amazing.