Innovative DIY Program for Live Transcription and Screen Capture Analysis | June 18 2026, 04:47

I made a really cool thing for myself. I launch a program, it turns on the microphone and listens. I switch to, say, a browser, comment on what I see on the screen, periodically pressing a hotkey to take a screenshot. Meanwhile, my program makes a time-stamped transcript of my comments, saves the screenshots with time stamps, then it recognizes the screenshots, extracting therefrom the spellings of various words, brands, identifiers, people’s names, so as to then transform the transcript of my speech into correct text. And all this – local models, running on my laptop, which means, absolutely free.

After I finish talking to the computer, I start processing the transcript, which takes the raw transcript and text-recognized screenshots as input and outputs a processed transcript, which now looks presentable (Gemini API is used here). One could even go a step further and automatically cut out fragments from the screenshots that were discussed, and insert them in the text exactly where they were mentioned.

Or here’s another thing I can do: just turn on a video on the speakers and the program immediately makes such a transcript for me. Google on YouTube the video “Angular HttpClient Under The Hood. Design Patterns & Source Code Overview” starting at 3:51 – I just put it on autopilot for a couple of minutes, then stopped my script.

Roman Naming Traditions: From Numerical Sons to Maiden Names | June 17 2026, 13:04

In Rome, there was a tradition to give personal names only to the first four sons, and to the rest — numbers: Quintus — “fifth”, Sextus — “sixth”, Septimus — “seventh”, Octavus — “eighth”, Nonus — “ninth”, and Decimus — “tenth”. However, they quickly grew lazy and stopped counting the children literally. For instance, a sole son might be called Quintus simply because it was his grandfather’s name. There’s a more elegant version too. The numerical names might indicate not the order but the month of birth. For example, Sextus might refer to the month of Sextilis (August, the sixth month).

For men (patricians), the structure was strict: Praenomen (personal name), Nomen (clan/family name), and Cognomen (family branch/nickname). For example: Gaius Julius Caesar. In this entire immense civilization, there were about 18 praenomens. The most popular ones were: Gaius, Lucius, Marcus, Publius, Quintus.

If you are a woman in Ancient Rome, you have no name. Period. Women were referred only by the feminine version of their father’s clan name (family name). If the father is named Julius, his daughter is named Julia. If he has a second daughter, she is named Julia Secunda (the Second). The third — Julia Tertia (the Third). The youngest — Julia Minor (the Younger).

P.S. By the way, about the months. Why is September the 7th month, October the 8th, etc.? It turns out the year started on March 1st. January and February were added later. In the very first Roman calendar, which, according to legend, was introduced by the founder of Rome, Romulus, in the 8th century BC, there were only 10 months and 304 days in a year.

Transforming Image Proportions with Generative AI: Smart Redesign Solutions | June 16 2026, 10:08

I published an article about how to transform images with changing proportions. Using generative AI, of course, because transforming a square into a rectangle can either result in data loss, their extrapolation, or by stretching and compressing the image itself. Here, I describe a method where smart extrapolation is performed. When processing hundreds and thousands of images, this approach is not without errors, but their number is relatively small, and it turns out to be much more advantageous to focus on manually correcting the erroneous ones than to do all the work manually right away.

This is specifically necessary during a redesign, when it turns out that the new design slightly mismatches the old one in size, for instance with banners, and the number of these banners is measured in hundreds and thousands.

Automating Banner Crop/Resize Across Breakpoints with Generative AI

Navigating Presidential Search Results: Putin to Yeltsin and Back | June 16 2026, 01:29

If you type “fifth president of Russia”, “sixth…”, “seventh…” in Yandex, Putin comes up until the hundred first. The hundredth, too, brings up only Putin. But the hundred first – it switches to Yeltsin. And the hundred second and beyond – back to Putin again.

Unraveling the Mysteries and Controversies of Curling Technology | June 15 2026, 12:52

It’s amazing that the core of curling is based on a physical anomaly that scientists have been unable to explain for 100 years. According to physics, if you spin, say, a regular glass and push it forward, friction should make it roll in the opposite direction of the spin. But the 20 kg granite curling stone defies these rules throughout its entire existence — it curves in the same direction it rotates. Either the stone leaves microscopic scratches on the ice, upon which its rear part then “jumps,” or the ice clings to it like teeth on a comb – there are many hypotheses, but clarity is nil.

There’s an interesting story in curling called “Broomgate.” In 2015, brooms with such aggressive directional fabric were released that sweepers could literally “steer” the stone like a joystick. Chaos ensued, and players from top teams (!) agreed not to use this then-legal hack out of gentlemanly honor. The federation tested 50 brooms and officially banned these “technological doping” tools. In 2024–25, “Broomgate 2.0” erupted. The controversy was not over the bristles, but the stiffness of the foam under the pad. Right during the Grand Slam of Curling (2025), top teams rebelled and signed a collective agreement to abandon these innovations mid-season. From June 2025, stiffer foams were banned — models like the BalancePlus Firm 2.0 were specifically targeted.

The photo shows curling in 1959 at Loch Leven, Kinross, Scotland.

AI Revolutionizing Decision-Making in Sports and Business | June 14 2026, 02:06

Today, I pondered how AI is changing age-old, even centuries-old concepts about how people should make decisions in various situations, especially in sports and probably in business. It’s far more interesting than just automation. It’s more about fixing bugs in how people have long considered something to be correct and true.

For example, in the game of “Go,” it was believed for decades that invading the corner (3-3 point) was crude and premature. AI then proved otherwise: early capture of the corner is efficient, and chasing after “beautiful” shapes loses to pragmatic control over the center. Or consider the famous 37th move by AlphaGo in the match against Lee Sedol, which was very strange: people did not play that move because they thought it was “playing into empty space.” It was first taken for an AI mistake, but then recognized as brilliant (there are plenty of analyses on YT). In esports, OpenAI Five demonstrated that aggressive early buyback of fallen heroes in “Dota,” which people considered a waste of gold, works.

Pure mathematics almost erased the mid-range shot from the NBA: it has an accuracy of about 40-42% and yields ~0.8 points per attempt, while a three-point shot with even 35% accuracy brings 1.05 points per attempt, and clubs have restructured for pure profit. Well, this is not AI, but mathematics and statistics. The under-basket shot (lay-up/dunk) turned out to be statistically the most effective.

In soccer, there’s the xG – expected goals metric; AI debunked shots from 35 meters and from outside the penalty area as ineffective (chance of scoring ~5% and 20% respectively) and ultimately teams patiently bring the ball into the penalty area, where the xG of the shot increases to 15-40%. It turns out, DeepMind had a project with Liverpool, a system advising coaches on corners – TacticAI. Expert assessors in 90% of cases preferred TacticAI’s recommendations over the tactical setups used in practice.

So, interestingly, if this continues, will a team or athlete using more powerful AI have an advantage due to more successful methods than a team that does not have such knowledge? Will AI game methods be so complex that they can’t be “stolen” to another team through outside observation – just like in the case with Go?

Rediscovering Pyotr Boborykin: The Prolific 19th Century Wordsmith | June 13 2026, 16:47

I find it astonishing that an unknown to me Pyotr Boborykin wrote heaps in the 19th century, introduced words like “intelligentsia” and “nonsense-maker” into the language. Considered the most prolific writer of the 19th century. Almost no one knows him besides a few philologists. And yet, the guy was a star in his time.

Boborykin was deeply concerned that he would remain in the history of literature as a “secondary” author, so he wrote furiously. He authored about 20 large novels and countless smaller works. 12 volumes, 350 pages each. Essentially, he was the Darya Dontsova of his era. He has a novel “Vasiliy Terkin” which you might have heard of, but not his; you’re likely thinking of the poem by Tvardovsky by the same name, who knew nothing about the novel at all, these were different Terkins.

For instance, finding the novel “Doctor Tsybulka” online is very challenging; there’s only one PDF in the form of a reprint with pre-revolutionary orthography.

Bizarre Dog Pills that Make Poop Unappetizing | June 12 2026, 20:29

Holy cow, it turns out there are pills to stop dogs from eating poop. They actually work. They make other dogs’ poop taste bad for dogs, plus the pills pretend to be and really are exactly what those dogs appreciate about poop

Yuki is very surprised by other dogs