Tag: science

Disappointed by Project Hail Mary: A Missed Opportunity for Smart Sci-Fi | May 04 2026, 16:40

We went to see Project Hail Mary yesterday. Honestly, neither Nada nor I liked it at all. Maybe we’ve just grown out of the age group that likes such movies. Comic book style. The alien, in my opinion, appeared on a budget. It feels like it’s at the level of the early 2000s – when you could have made exactly the same thing. Remember the movie Arrival, where they tried to come up with something unusual? Really, was this stone monstrosity worth 200M? The whole plot is full of cliches and banalities. In one minute, they made it so that the human and the alien began to understand each other perfectly via some program that a science teacher created in a day. As if the astronaut and a piece of rock just start chatting like buddies… 5 kilometers of iron chain the thickness of an index finger is about 10 tons of metal… did they have that much on the ship?

The directors became successful in the realm of Lego movies and Cloudy with a Chance of Meatballs, along with a couple of comedy series and 21 Jump Street. I was expecting a movie in the spirit of Interstellar or The Martian, smart adult sci-fi that is not afraid of scientific details, and instead I got a children’s fairy tale with an ugly alien.

I googled it, and it turns out that a ton of people are thrilled with it and it’s making a lot of money.. Probably, people are nostalgic for such amidst post-irony, satires, various narratives, Lanthimos, and “Battle after Battle”. As children, everyone watched “Flight of the Navigator” and “Short Circuit”, so adults are nostalgizing over simple goodness. Perhaps it’s just a family movie for watching with the kids. Then it might be okay.

okay, going back to watching the second season of Succession. It’s considerably better.

Exploring Word Clusters in Religious Texts from Gutenberg’s Library | May 02 2026, 03:28

It’s interesting that if you take 8000 books from the Gutenberg library and construct a graph for each based on word connections to see how “friendly” words are—if word A often appears with B, and B with C, then how often does A appear with C? There’s a metric for this—the average clustering coefficient. Then, simply sort the books by decreasing this coefficient, about 70 percent of the top will be religious books—bibles, the Book of Mormon, the Quran. Well, some of them are duplicates in a sense, because a Bible in different formats remains the Bible. But clearly, its different parts are grouped together, meaning, they definitely share commonality in these triangular words.

But what unites all the books in this top— is that they were written many years ago or, as in the case of The Night Land, written relatively recently in the same style as many years ago.

By the way, among these books shines An Introductorie for to Lerne to Read, To Pronounce, and to Speke French Trewly. This is a French language textbook, written in English during the Tudor times (around the 1530s). Soverayn lorde kyng Henry the Eight. It was written by Gilles Du Guez—a French teacher at the English court. This particular textbook was compiled for Princess Mary (the future Queen Mary I, known as “Bloody Mary”), the daughter of Henry VIII. Check out a page from the textbook. Very cool English 🙂 …ye must pronounce it letyng your lippes jointe close, so that there be but a lyttell hole in the middes.

So, I delved into this textbook. It mentions a fruit called “openarses.” As you understand, this is “open arses” in English. In Tudor England, they called a medlar an openarse. If you Google what a medlar looks like, you’ll have no questions why it’s called openarses 😉

In the anatomical section (MEMBRES LONGYNG TO MANNES BODY), the author mentions next to the eyes and ears “the nether beerde” (literally— “the lower beard”).

Harnessing Chat Data for Semantic Q&A Search | April 30 2026, 04:05

In one evening, I created a simple utility that extracts the Natural Language Processing chat for a year and a half – there are 65,000 messages, and converts it into question-answer pairs with semantic search available. Clicking on a search result (on the left) opens the dialogue in the chat. The messages that are responses to the question are highlighted. And at the top, the original phrasing of the question is highlighted as well.

How it works: the system assumes that people mainly reply to messages that are relatively close in the past. If several replies are made to one message, then it is likely useful and caught the interest of others in the chat. The system takes messages starting from the one many have replied to, ending with the last in the reply-to chain – and among such messages, it selects those that have at least 3 reply-tos to the original question. In essence, it cuts a piece from the chat starting with a popular question so that after the bottom cut, most likely, irrelevant content follows. Such blocks can overlap each other – for example, if someone asked a question while others were replying to something else.

So, if user A asked what the weather was like, and they received answers like “good,” “bad,” “rain,” and there were five messages without a reply-to, and then someone replied to “rain” with the question “why rain”, and five more people replied to this question, then the first question about the weather makes it into the system – the piece ends with 13 messages.

Afterwards, these pieces are summarized into question-answer pairs.

It turns out quite cool.

P.S. In the screenshot, the search query has nothing to do with the search result because I foolishly took the screenshot after I changed the query but before I hit send.

Peripheral Vision: Unveiling Optical Illusions in News Apps | April 29 2026, 17:56

I’m trying to figure out if it’s just me or do other people experience this too 🙂 if you look anywhere except at the word “Omurbekova”, the line highlighted in red in the second screenshot (which is actually white) is distinctly visible in your peripheral vision. But as soon as you shift your gaze directly to it, the line disappears. That is, it’s only visible peripherally. Share your experiences 🙂

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.

Silence for Cents: Exploring the SwissBrand 120-Pack Mouth Tape | April 24 2026, 18:25

If your other half needs to be silenced temporarily, you can buy a kit for 120 silencings from us, averaging just under six cents per silence

Crabs in Love: Monogamous Parasites of Sea Turtles | April 15 2026, 21:56

WOW, it turns out that under the shell near the anus of sea turtles, the parasitic crabs Planes minutus make themselves at home, and there’s only enough space for a cozy duo, so they form a monogamous pair and live happily ever after inside the turtle’s butt (had no idea what to do with this information, so I brought it here). In relation to the turtle, this is commensalism. It’s when it’s good for one (or in our case, two), and the third doesn’t give a damn. I see a scientific paper claiming that they sometimes mistake the turtle for ocean debris, where there’s room for more than one wife, and then, goodbye monogamy. But, at least, no butts involved.

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.

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.