Walking with Yuki. He is very popular with the foxes. They always look at him for a long time. Video in the comments.

Walking with Yuki. He is very popular with the foxes. They always look at him for a long time. Video in the comments.


Popov has risen!

I wonder if there exists an agent that takes an Excel table significantly larger than the context window and begins to document its essence. Here are several tabs. Here on tab 5, there is a table with a million rows and five columns. The columns are as follows. We take random data from the table, looks like there are numbers, and there – surnames. We assume that there are numbers everywhere – we write a code that checks this assumption and at the same time calculates min/max and a set of unique values. So, few values, only five. We record it. Now we check the surnames. Yes, these are just strings, new sampling showed that they are indeed surnames. Here’s a formula. We see where it points. And so on. And this column – unclear purpose. We look at the data – these are some numbers from 0 to 1. We measure the average and the spread. We ask the user – maybe they’ll provide some comments. They did. It turned out to be a KPI issued to this user from an external system. We record it. And so on. Documentation emerges. Later, when there is documentation, one can request to perform some operations with all this, since the LLM now more or less understands the purpose of the data and their connection, and can build some hypotheses on detecting outliers and verifying them.
Almost every development project features a dedicated functional testing automation team, yet surprisingly, a similar emphasis on Data Quality is rarely found. Regardless of whether data comes from external integrations, users, or is generated by the system itself, it often remains without proper control simply because no one seems to consider it important, and later they struggle with the consequences – they accumulate like a snowball. The longer such issues persist, the harder they are to resolve, eventually leading to a situation where people just resign themselves to the “irreparable” state of the database. It is much better to identify these problems at the moment they arise, while the technical debt has not yet become insurmountable, rather than later figuring out how to prevent them from causing everything to crash;
In essence, there needs to be a constant “supervisor” over all types of databases used by the system (relational, NoSQL, search indexes, or graph databases) — essentially, this is a layer of data quality checking over processes. Of course, there must be clear rules – specifically what to check and which flags to use to mark specific anomalies.
There must be a responsible party for the process (a human, not AI), who will integrate these reports into the development and support workflows. Many data integrity issues cannot just be resolved through an interface — they require the engineering team to develop scripts for mass correction and data cleansing.
Incidentally, this also transitions into the realm of anomaly detection (outlier detection). Machine learning and LLMs for identifying subtle “bad” patterns that traditional rule-based systems might miss.
What do you think about this? Are similar mechanisms implemented in your processes?

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.

A very tasty Iranian restaurant. Perhaps you didn’t know, but there are two flags of Iran. This one – the historical flag, used before the Islamic revolution of 1979, and today its use inside Iran itself is a political crime. The main difference from the official one is the emblem of the lion and the sun. Therefore, when Iranian protesters in Washington hold demonstrations, it’s interesting to see which flags they carry. If there’s four crescents and a sword in the middle, those are protesters from another camp 😉

The air purifier broke down, so I bought a used one with a new cartridge for the price of a replacement cartridge plus $40. I completely disassembled the old one, extracted the reusable components, and figured out how it works. Just like in school 🙂
Inside, it comprises:
– an ESP32-WROOM-32D controller. But a part of the board responsible for voltage burned out, so it’s trash now.
– a CO sensor MQ-7 (unfortunately soldered to the board, but can be desoldered). Though, it needs a heating cycle for correct operation. First 5V (60 sec) for sensor cleaning, then 1.5V (90 sec) for measurement. But, it can also be used elsewhere.
– Plantower PMS9103M — a high-precision laser sensor for measuring airborne particulate matter concentrations (PM1.0, PM2.5, PM10). Can be connected to Arduino, specification available.
– a microwave motion sensor (radar), model RCWL-0516. Can be connected to Arduino, very simple interface. Detects motion up to 5-7 meters around within 360 degrees.
– 200W Snowfan YY225H310B motor. Also quite simple to connect, but it requires 310V DC plus 15V for speed control. But that’s all.
– a Hall sensor (magnet)
The motor is the most valuable part. It’s priced at $100 on eBay. Though, it should probably be tested first to see if it hasn’t burned out.

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”).


It turned out that initially Carlo Collodi, who wrote “The Adventures of Pinocchio,” did not intend to turn his hero from a wooden puppet into a real boy. Pinocchio was destined to be hanged by the Cat and the Fox on an oak tree—as a lesson to all children who lie and disobey their elders.
The author was persuaded to continue Pinocchio’s adventures by the editor of the “Children’s Newspaper,” who said that otherwise it would be their last publication. The readers were so outraged by the death of the hero that the editorial office was inundated with letters demanding a continuation.
Eventually, after a few months, the author was forced to “resurrect” the puppet. This is how the Blue Fairy appeared in the story, who saved Pinocchio from the noose, and the grim parable gradually turned into the familiar fairy tale with a happy ending.
When Pinocchio was already hanging on the oak tree and gasping for air, a Beautiful Girl with Azure Hair appeared at the window of a nearby little house. At that moment she is described not as a kind fairy, but rather as a ghost or spirit (she says that everyone in this house died, and she too is waiting for her coffin).
Seeing the puppet dangling from the tree, she took pity and organized a whole rescue team. The fairy clapped her hands three times. A giant Falcon arrived. She ordered him to fly to the Great Oak, gnaw through the rope with his beak, and carefully lower Pinocchio onto the grass. Then she summoned her servant—a poodle named Medoro. He was dressed in festive livery, with a cocked hat and a curly wig. Medoro was sent for Pinocchio in a luxurious carriage drawn by a hundred pairs of white mice. When the puppet was brought to the castle, he was neither alive nor dead. To decide what to do next, the Fairy summoned “luminaries” of medicine. By Pinocchio’s bed came the Crow, the Owl, and the Talking Cricket (the same one that Pinocchio “killed” at the beginning of the book, but he returned as a spirit).
Harsh.
Essentially, the hero owes his happy ending not to the author’s mercy, but to commercial success and public pressure.
