An interesting philosophical thought came to my mind. What if evolution doesn’t exist in us (not in biological life), but in our system of understanding the laws of the world 🙂 That is, the system of understanding the laws of the world adapts itself so that everything more or less matches up. That is, the brain constructs an internal hallucination and constantly suppresses it in order to minimize the error of prediction. And there’s a big question — does our understanding system strive for truth (absolute correspondence to the world) or just for comfort (so that the picture in the head does not fall apart)?
With this approach, there’s a problem that if you don’t look into the future, then at each iteration, the understanding system adjusts its model so that the prediction works, but simultaneously creates problems for the next iteration, because it has to account for them already. As a result, this layered pie accumulates contradictions and constraints to such an extent that each subsequent theory becomes more and more complex and accreted with a multitude of unexplainable gaps. Dark matter, black hole radiation, gravitational waves, and so forth appear to somehow stretch the owl to fit the globe.
But yes, this is related to the question of whether mathematics was discovered or invented.
Sometimes in English, there are very unusual words that are very difficult to translate into Russian. Here, for example, is the word oblong. As an adjective, it translates as “elongated, oblong,” but in the book, both uses are nouns. Often oblong refers to a face – that is, close to an oval, but oblong is a broader concept that describes any figure having an elongated appearance. My mom bought an oblong tablecloth for her new table.
As a noun, it is also used, and quite frequently (though less so than as an adjective). As a noun, oblong means “a rectangular object or flat figure with unequal adjacent sides.” Rulers are considered elongated items (oblongs). Laptops, tablets, and flat-screen TVs are oblongs of different sizes. A rectangle can be defined as oblong; however, not all elongated figures are rectangles. The same face, for example. Additionally, in mathematics, an oblong number is what in Russian is called a rectangular number (the product of two consecutive numbers. For example, 12). In general, it’s utterly baffling.
The word has been alive since the 15th century, by the way. So, in my book, it appears twice, and both times as nouns. In the first case, Nabokov translated it as “corner,” and in the second – “a small oblong of smooth silver” as “a little piece.”
Today a tornado warning was issued. A warning is issued if radar detects conditions favorable for the formation of a tornado. In the end, there was a little rain at the exact predicted time (within about 10 minutes). It came, poured down, and moved on. Everything was canceled everywhere. A bunch of people are still on edge. The principle in the USA: safety is more important than anything, even if the probability is nearly zero, if the consequences threaten life, a small probability is weighed against high seriousness and ultimately maximum protocols are activated. When assessing risk, the most pessimistic option is chosen because if you’re wrong – you remain responsible. People head down to basements, children are locked in gyms, etc.
Everything seems fine, but such a reaction to bad weather and similar troubles instills a behavior of excessive caution for life, and people simply choose comfort and are scared to death of thunderstorms and snowfalls. Not sure if this is right or wrong.
Check out the weekly temperature swing from 21 to 0 and back to 23.
Man, it’s really convenient. Just sitting here reading.
The usage pattern is as follows: I hold the phone in my hands. There, in apple books, this and that book. You see an unfamiliar word – it will likely be in the word list of the chapter. The definition takes into account the translation by Nabokov himself. Then you look a couple words ahead, put the phone down, continue reading. You encounter those words, and they are still in your short-term memory, and hooray, you understand. During a break, you load the next couple of words into your brain. You have to hold the phone and flip through, each page contains 4-5 definitions.
Now, every word has definitions in English (interpretation), French, and German. Consequently, I can publish four books.
Overall, my level of English matches what my app predicts about which words will be challenging. But someday I’ll need the same for French, and it will require an assessment of the difficulty level for each word because even some basic words will be unclear to me. I’m not sure that a book with basic words will be handy. With rare ones – definitely handy.
I’m reading Nabokov and decided to take a break to create a convenient app “Nabokov’s Dictionary” and am considering selling it on Amazon as a book. Essentially, it looks like this (see screenshot) – definitions of complex words in English, Russian, German, and French, in the same order they appear in the original book.
Would you buy such a book?
To accurately make their definitions, I also wrote an aligner – a program that matches sentences and paragraphs in English with their translations (Nabokovian) into Russian. And when a word’s definition is created, it uses not only the knowledge of LLM but also the Russian translation by the author. It’s worth separately discussing how the algorithm works (I invented it myself because everything I found online did not work as I needed). It first finds long sentences and matches the longest sentences with their pair through cosine similarity of embedding vectors created through the multilingual e5 model. These sentences become anchors. Then, assuming that for long sentences the error is almost excluded, the longest sentence between anchors is found, and everything repeats recursively. There are many situations where a sentence in Russian has no equivalent in English and vice versa, where a sentence is split into two, or conversely two are merged into one. The algorithm handles this as best as it can. The result is quite a good quality of alignment. To such an extent, that errors in alignment can hardly be found (but they are likely still there). Either way, it is only needed for the context for translating words, even if there are rare errors, it’s not a big deal.
At the beginning of the year, I bought an NFC smart lock for the front door for 170 bucks. Recently, I wrote a review on Amazon stating that the batteries lasted only a month and a half, and if it continues like this, I will end up paying almost the same amount annually. The manufacturer has responded saying they will refund the money. They didn’t ask to remove the review, and I don’t even know if that’s possible.
The spokesperson for the Phystech press service explains how to determine cardinal directions in Moscow when navigation systems are down. Find the North Star or use the sun: it rises in the east and sets in the west. Also reminds us how to determine directions using trees. Ziya, do you know how to find cardinal directions using trees? — What’s there to know? Fir tree points north, palm tree points south!
Overall, it seems the Phystech press service is not aware that in Moscow, the annual amplitude of sunrise point movement is almost 90 degrees. That means, it only sometimes (like now, in March) actually coincides with the east. But they do know the word “asterism”. I think most readers will place it somewhere near the word “flatulence”
Last week, Nadezhda Shulga painted an oil painting for the first time in her life and played the piano with one hand for the first time in her life! Nadya, well done!!! She asked me so many times to paint nature, that she eventually went ahead and painted it herself.
For fun, I decided to make a matrix of who is friends with whom and who is enemies with whom. For each country-country pair, I asked Gemini which of the five categories the relations fall into: “at daggers drawn” (purple), “predominantly unfriendly” (red), “neutral” (yellow), “predominantly friendly” (blue), “friends” (green). Lisa said that “neutral” should be purple. Overall, the quality of Gemini’s assessments is quite good.
Among all countries, three red lines stand out. These are countries that are on very bad terms with many others. Well, you guessed Russia right. And what is the second country? Israel? No, it’s Belarus and Venezuela.
In the top five countries that everyone is friends with and who have many friends themselves, LLM included the USA, United Kingdom, Canada, France, and Germany. There is an anti-rating – these are countries that have very bad relations (“at daggers drawn”) with many others. In this rating, Russia is in first place with 21 countries, and Israel is in second place with 18 enemies. Following them, with a significant gap, are Syria and the USA with 9 enemies each. There is also a separate Conflict Zone rating – this is the sum of red and purple. Russia, Venezuela, Belarus, Israel, USA, Iran, Ukraine.
There is a “pacifists’ club”. These are the ones who have no enemies at all, sorted by the number of friends. Rating: Bahamas, Vatican, Luxembourg, Angola, Singapore, Iceland, Jamaica, Tanzania, Zambia.
I was curious, what if I apply the formula: the enemy of my enemy is my friend? What would change? This led to new colors on the matrix – logic friends.
The most unexpected leader of the Master Pragmatists ranking was Taiwan (25 logical connections). Why so? In the logic of LLM, Taiwan is a country that is officially recognized by few, but because of its global opposition to China, it automatically becomes a “logical friend” for everyone who has strained relations with Beijing. This is confirmed in the Shadow Bridges section: Taiwan has 23 connections beyond its region. It literally “stitches” different parts of the world together through a common problem.
The report “Secret Partners” – a list of geopolitical oxymorons. These are pairs that are “at daggers drawn” in official news but are forced to be friends by Gemini’s calculation. For example, Afghanistan – USA/United Kingdom. Despite the status “rather bad relations”, Gemini’s logic sees them as “logical friends”. Possibly due to common regional threats (like ISIS) or dependence on humanitarian and back channels. Or here’s a strange alliance “Belarus — Hungary”. Nominal — different camps, factually — similar style of rhetoric and common “enemies” in Brussels. Eritrea — Ethiopia: Status “at daggers drawn”, but at the same time, they became logical friends.
In the report “Most Controversial,” the first places are taken by the USA, and then with a significant gap, Russia, and even larger – United Kingdom, Canada, Ukraine. These are countries with the highest Love x Hate product value. That is, countries that have many friends and enemies at the same time.
Another report – the indifferent ones. About them, LLM couldn’t say much, apparently because they bother no one (both literally and figuratively). There are, for example, Madagascar and Haiti.
I also tried to cluster by the strength of friends and got four groups of countries.
The largest cluster. Core: China, Russia, Iran, India, and BRICS+ countries, as well as almost the entire African continent (from Egypt to South Africa) and a significant part of the Middle East (UAE, Saudi Arabia, Qatar).
The second cluster mainly included European countries. Core: France, Germany, United Kingdom. The algorithm determined Ukraine and Israel to be here. Logically: their survival depends on “predominantly friendly relations” with the European core. In this same club are Armenia, Georgia, and Serbia. Apparently, despite all the political swings, Gemini considers their ties to Europe more fundamental than any others.
The third cluster included the USA, Canada, Brazil, Mexico, and, for example, Taiwan. Officially, it can be a “logical friend” to all of China’s enemies, but by “strength of friends,” it is permanently sewn to the American block. The Vatican also ended up here, which makes this club not only economic but also somewhat “values-based.”
The fourth cluster, the most compact and specialized, included countries of Oceania and Southeast Asia. Leaders: Australia, Japan, New Zealand, Singapore. This turned out to be a club of countries trying to balance in the most complex region of the planet. Here are almost all island states (Fiji, Samoa, Tonga).
Hi, I'm Rauf Aliev. 