Category: Tech

Cherenkov Radiation: The Ethereal Blue Glow of Nuclear Decay | April 26 2026, 23:52

In the picture – Cherenkov radiation. This is me in 2009 at the Chernobyl Nuclear Power Plant, standing in the hall with the nuclear reactor. The water in the photo is for slowing down neutrons and cooling spent fuel rods. The glow occurs when electrons are ejected from the fuel at a speed exceeding the phase velocity of light in water. Kind of like a sound barrier, but for light. The intensity of this glow can roughly indicate how “fresh” the fuel is in the pool. The brighter and denser the blue, the more active the decay processes are. Interestingly, Cherenkov radiation is the reason why there is no absolute darkness at great depths of the ocean floor.

Near-Miss at Leningrad: The Unknown Predecessor to Chernobyl | April 26 2026, 17:32

On the anniversary of Chernobyl. Those interested in this topic may not know that a similar accident could have occurred ten years earlier on the main (very first RBMK-1000 unit) Leningrad Nuclear Power Plant.

There was a nearly identical situation: one turbine in operation, reactor shutdown by emergency protection, and subsequent power escalation.

Back then, the situation was saved by the Chief Reactor Operator Mikhail

Karrask, who, acting intuitively and relying on his experience with industrial reactors, introduced into the reactor in portions

12 manual control rods

BEFORE pressing the emergency shutdown button.

A couple of years ago, Karrask passed away. This story is almost unknown outside the industry. For proof, google his obituary on Rosatom.

The technical part. The main danger of the RBMK reactors at that time was in the design of the control rods. At the bottom, they were equipped with graphite “displacers”. When the emergency shutdown button was pressed, the rods began moving down, and in the first seconds, the graphite tips did not dampen the reactor, but on the contrary, displaced the water and increased the power in the lower part of the active zone. But precisely, the instructions in case of trouble suggested pressing the emergency shutdown button. If you followed the instructions, “Chernobyl” would have happened earlier.

After the incident at the Leningrad NPP, a commission was formed. Experts (including those from the Kurchatov Institute of Atomic Energy) pointed out the dangerous design flaws of the RBMK – the positive void coefficient of reactivity and incorrect design of the rods. Unfortunately, extensive changes to the design of all RBMK reactors were not made at that time. Only operational regulations recommendations were given, which, as history showed, were insufficient to prevent the tragedy in Chernobyl.

Navigating the Depths of High-Dimensional Spaces | April 13 2026, 23:17

I am now working a lot with high-dimensional vectors, and some things that I hadn’t fully realized before are really starting to tickle my brain. Our 3D intuition doesn’t just not work there—it lies.

It turns out that any two random vectors in high-dimensional space are almost certainly nearly perpendicular to each other. Almost all the space is one continuous “equator”.

Much of machine learning is built on exactly this. If your embeddings suddenly show high cosine similarity (for example, 0.8 — this is not a statistical error, but a powerful signal. It’s almost impossible to randomly converge like this in a 1000-dimensional world.

In such spaces, almost all the mass of data is concentrated in an extremely thin surface layer. The “insides” of objects are mathematically empty.

This can be easily verified with such an imaginary example. Take the “skin” of a multidimensional sphere with a thickness of just 1% of the radius. The volume of the sphere is proportional to the radius raised to the power of its dimensionality.

• In three-dimensional space, the pulp (0.99 of the radius) occupies 97% of the volume, you raise 0.99 to the third power.

• In 1000D, the pulp occupies just 0.000043%.

You can understand it differently. For a point to be closer to the origin, it requires that along all axes the coordinates need to be close to the origin. If one axis has a high value, that’s it, the point has gone. If you take points randomly, the mere probability that they all at once will be below any value decreases with the growth of dimensionality, and decreases quickly.

All the “meat” of the data always ends up in the skin. Any sample in High-D is essentially a set of boundary values.

For white noise in high dimensions, the distance between the closest and the farthest neighbor becomes almost the same. The concept of “closeness” simply degrades.

Sky-High Prices at the CIA-Adjacent Gas Station | April 11 2026, 21:16

We have one gas station near the CIA that simply sets gas prices 40 percent higher than anywhere else. Just an ordinary shabby station that follows the principle of “if it works, don’t fix it.”

CPU vs GPU: A Speed Challenge in Embedding Creation | April 11 2026, 18:08

When working with certain tasks, the difference between a CPU and a GPU is simply astounding. For example, I need to create many (millions) of embeddings, model BGE M3. Running this on my quite powerful 24-core Intel Core Ultra 9 285K processor takes 45.85 seconds to create 500 embeddings, while using an NVIDIA 5090 GPU, the same task is completed in just 0.36 seconds. It is so fast that I specifically wrote this benchmark to figure out whether my GPU is being utilized at all. The program that sends requests to TEI does it in test mode not actively enough (roughly a couple of times per second), and the GPU load graphs are practically zero.

— Testing http://localhost:8080/embed — <– CPU version

Requests completed: 500

Total time: 45.85 sec

Throughput: 10.90 req/sec

Average latency (Avg Latency): 4386.11 ms

P95 latency: 5021.88 ms

— Testing http://localhost:8090/embed — <– GPU version (NVIDIA 5090)

Requests completed: 500

Total time: 0.36 sec

Throughput: 1398.69 req/sec

Average latency (Avg Latency): 31.38 ms

P95 latency: 53.18 ms

========================================

RESULT: http://localhost:8090/embed is 99.22% faster

Nikolai Nosov’s Anticipated Instagram: Art Templates and Avatars | April 07 2026, 13:04

As early as 1954, Nosov predicted the emergence of Instagram

P.S. It’s just not very clear why there are different templates for different eye and hair colors.

Precision in the Sky: Aerial Refueling of HH-60 Pave Hawks by a KC-130 Hercules | April 05 2026, 12:59

An interesting photo from Iran. An American Lockheed Martin KC-130 Hercules tanker and Sikorsky HH-60 Pave Hawk helicopters connected to it. If you think about it, it’s incredibly complex. Look, the plane has to fly at a super low speed for it – close to the stalling speed – while the helicopters, in contrast, must push to their limits to keep up. To avoid entering into a spin, the plane is forced to rapidly lose altitude, consequently, the helicopters must also purposely drop altitude. The helicopters are positioned lower than the plane, so if the pilot slows down even more (though how much more can he slow down?), and the helicopters don’t slow down, the hose could hit the rotor blades and that’s it. The helicopters also gain several tons during refueling, which adds to the complexity. Why refuel two at once? It’s more complicated. Actually, it’s both more complicated and simpler, because the load on the wings is distributed symmetrically, making it easier for the plane to maintain a stable course. It’s also interesting how the issue of static electricity is handled in the dry air.

A good addition from the comments (Sergey Snegirev):

1. It is noted that the Hercules stalls at 100-110 knots (depending on the air temperature and altitude, which is important in Iran), and the photo shows the flaps deployed, allowing it to stay up to even 90 knots. Meanwhile, the Pave Hawk can accelerate up to 190 knots (but obviously, nobody performs AAR at max speed), with a cruising speed of 150 knots, so there’s quite a sizable overlap. It’s assumed that AAR takes place around 120 knots on the video.

3. It is noted that AAR happens at exactly the same altitude, so there’s no need to lose altitude

4. It is noted that the tanker – like any other aircraft – can dissipate static electricity using an electrostatic discharger. The refueling hose has a contact that equalizes the potentials of the two aircraft before fuel delivery.

5. It is noted that the fuel used to refuel external aircraft is stored in tanks in the aircraft’s cargo section, separate from the tanker’s own fuel system. Even if the pumping were from the tanker’s own fuel tanks, it would come from the central tank, which is set up to transfer fuel from the side tanks.

It is noted that on the underside of the plane’s wings, several metal “antennas” are installed on the flaperons to discharge static electricity into the air. It is noted that when the hose is connected, a wire passes through and the potentials on the bodies are equalized.

Unexpected Visitor and the Power Switch Mystery | April 02 2026, 18:01

Everything is normal, I’m working, suddenly there’s a knock from the backyard and the power goes out in the whole house. I look over my right shoulder – and there through the window IN MY LOCKED BACKYARD is some guy.

I go out, say hello. He’s like, “I’ve done everything.” I say, I noticed, but who are you exactly? He’s like—you submitted an application to switch to the EV tariff. Well, I had to press a button here. I say and you’ve pressed everything already?

He says – yes. I say then close the door behind you, because my dog got freaked out here.

Then the dog comes up. Sleepy. Stunned. Who’s this, he asks.

But generally, it would be nice at least to be warned about visits and the sudden power cut. I could have shut down my computer or something.

But now it will be $0.0732 per kWh at night, and $0.12694 during the day.

Navigating the Lexical Complexity of Nabokov’s “Lolita” | April 02 2026, 15:56

I’ve finished the first version of a dictionary-style book on Nabokov’s “Lolita”. The chart shows how the complexity of vocabulary is distributed across the pages of the book. The lower chart averages 25 sentences, displaying the number of complex words on the vertical axis, with colors indicating their complexity/rarity (purple – the most complex, red – less complex, yellow – even less so). But I have already removed two levels, and overall, for a foreigner, all five levels are challenging. In the book, level 3 is marked with a dashed line, level 4 with a simple frame, and level 5 with a double frame. Currently, there are 5794 words, of which 541 are fifth level, 1070 are fourth, 1883 are third, 1393 are second, and 54 are first (the simplest ones). Considering that the first version ended up being 1148 pages, the dictionary will need to be significantly streamlined by removing what can be dispensed with. This mainly pertains to the first and second levels, and some from the third and fourth. The rarity of words is calculated in three ways: through LLM, and through two lists of word frequencies in the English language corpus (300K words).

Not all words are complex. For instance, in the sentence “With the ebb of lust, an ashen sense of awfulness, abetted by the realistic drabness of a gray neuralgic day, crept over me and hummed within my temples.” someone well-acquainted with English might not know the words ebb, abet, drabness, while everything else is familiar, but lower the requirements for the reader, and the dictionary might not be very useful for such cases.

Or consider the sentence:

Homo pollex of science, with all its many sub-species and forms; the modest soldier, spic and span, quietly waiting, quietly conscious of khaki’s viatric appeal; the schoolboy wishing to go two blocks; the killer wishing to go two thousand miles; the mysterious, nervous, elderly gent, with brand-new suitcase and clipped mustache; a trio of optimistic Mexicans; the college student displaying the grime of vacational outdoor work as proudly as the name of the famous college arching across the front of his sweatshirt; the desperate lady whose battery has just died on her; the clean-cut, glossy-haired, shifty-eyed, white-faced young beasts in loud shirts and coats, vigorously, almost priapically thrusting out tense thumbs to tempt lone women or sadsack salesmen with fancy cravings.

My browser even highlights four words here.

I have definitions of words in English, German, French, and Russian. I’ve encountered the issue that different words from the text are considered complex in different languages, yet they are unified for me. So, I’ll have to mark, for example, French words in the English text separately, so they are not included in the French version, since there, the reader knows, for instance, what quel mot means.

Overall, this weekend I’ll be manually removing about half, and then I can make the cover and list it on Amazon.