Exploring the Technological Marvels of Tesla’s Full Self-Driving Capabilities | July 11 2025, 03:59

I read various engineering blogs about Tesla’s autopilot (FSD) — simply because for the last month and a half I’ve been almost constantly riding as if in a taxi — you set the destination and hardly ever need to intervene, the car travels from point A to point B completely independently. This is certainly the future.

Such systems exist not only at Tesla. For example, Mercedes has one (Drive Pilot). Others only help in traffic jams at best. Though Tesla seems to be the only one that works on all roads.

So, returning to engineering curiosities. Tesla has an AI model production on its “farm” called Dojo — an exaFLOP supercomputer on Tesla chips. Videos from cameras are fed into it, and it trains models that are then sent out for autonomous operation across the entire fleet of Tesla cars.

The FSD architecture comprises about 48 specialized neural networks, trained on Dojo, which together form about 1,000 different prediction tensors. Tesla is gradually moving from modular networks (object recognition + planning) to end-to-end training — directly converting video frames into steering trajectory/action. This is akin to a “black box” — the neural network learns directly from human behavior, without manual tuning of knobs; an extremely cool engineering solution, but, I suspect, complex to debug.

By the way, it is claimed that Tesla has switched from C++ to Python. And that this shift to end-to-end training has made 300,000 lines of C++ code unnecessary, where various corner cases and rules for resolving different scenarios were accounted for — now it’s at the model level.

Tesla has abandoned radar and ultrasonics, switching to purely camera solutions (Vision Only) with “Hardware 4” (HW4, FSD Computer 2): 16 GB RAM, 256 GB flash memory, performance 3–8× higher than HW3.

Assess the performance: 22 milliseconds to create a 3D scene with cars, pedestrians, cyclists around — information is collected from 8 cameras 36 times per second.

85 ms for the entire cycle from receiving the image to changing the plan and commands to the wheels. Fantastic!

More than 4 million Teslas on the roads collect data daily, and in the FSD Beta version, more than a billion miles of autonomous driving have been recorded. This “live” dataset is used to train networks on the most real-world scenarios, including rare “edge-case” incidents (strange accidents, road conditions, etc.).

In June 2025, Tesla for the first time delivered a Model Y from the factory in Austin to a customer’s home without a driver or remote operator — fully autonomously. This is very cool.

The Vision network not only analyzes the current frame but also stores features from previous ones (at a distance of ≈1 m). This allows it to remember recently crossed markings/signs, even if they have already left the field of view – very similar to human memory.

Awaiting the Next Big Thing from Boston Dynamics | July 10 2025, 20:09

I’ve been thinking, it’s been a while since there was an exciting video from Boston Dynamics. Remember, each one used to create quite a stir online. I checked their channel. And it looks good. Hundreds of millions in investments from the Pentagon/US Department of Defense suggest that it won’t stop at drones.

https://youtu.be/I44_zbEwz_w?si=51szmPYzdYtBGs6X

https://youtu.be/I44_zbEwz_w?si=51szmPYzdYtBGs6X

Treasures in Translation: A Glimpse into Rare Russian Reprints | July 09 2025, 01:27

Nadia from Russia just brought me three books I ordered. “The Art of Color” by J. Itten, “Americans and Everyone Else” by I. Kurilla, and this one, Holodkovsky’s commentary on his translation of Faust. Interestingly, it seems that these commentaries are not available in Russian.. to be more precise.. in modern Russian. There is a reprint of the original 1914 edition, created based on a high-resolution electronic copy that was manually cleaned and processed, preserving the structure and spelling of the original edition, and it seems it was not translated into modern Russian. However, there are no difficulties in reading the reprint.

The Paradox of Symmetry: Beauty, Boredom, and the Brain | July 06 2025, 23:13

Probably not just for me a contradictory perception of symmetry exists. On one hand, symmetry is perceived as a sign of harmony and stability because the brain processes and recognizes organized forms more quickly, which historically could have aided survival. Logically, it should be associated with beauty, health, and predictability, giving a sense of security.

It’s written that with one or two alcoholic drinks, symmetrical objects become even more attractive. “In a pilot study (Elena Karakashevska) involving 13 social drinkers, researchers were surprised to find that alcohol apparently enhances the brain’s response to symmetry.” The study also concluded that people look better after consuming alcohol 🙂 This reminds me of a joke about two friends, when one says, “Now we’ll go to the girls, one is alright – for me, and the other one is a bit ugly, but you drink some vodka — and she will be fine,” and when they arrive, they ring the doorbell, two women are on the doorstep, and the second says: “Oh, I can’t drink that much!”

On the other hand, excessive symmetry and monotony can cause boredom and irritation as the brain seeks stimulation and novelty. For example, imagine a symmetrical tattoo on someone. Can you picture one that you aesthetically prefer over an asymmetrical one?

Personally, I like small deviations and asymmetry, which make images lively and interesting. A certain balance of order and chaos. Pure symmetry seems very boring to me.

Started googling on the topic. “Japanese don’t like symmetry. If a vase on the table is in the middle, they will automatically move it to the edge of the table. Why? Symmetry as completion, as finitude, as repetition is uninteresting. For instance, the dishes on a Japanese table (dinnerware) will definitely have different patterns, different colors.”

Do you like symmetry?

Exploring the Bubble Method of River Level Measurement at the Potomac | July 06 2025, 19:38

How would you measure the water level in a river? A float? A pressure sensor? Something else? Yesterday, I discovered how it’s done here on the Potomac, and it turned out to be not at all what I had imagined. The USGS engineers are great—they educate passersby by posting a diagram of the operation.

A tube is lowered into the river through which air is supplied in bubbles (through a bubble orifice). A special pressure sensor (Pressure Transducer) measures the air pressure in the tube that is necessary to release the bubbles from it. The higher the water level in the river, the more pressure is required to push the air into the water—because the air pressure in the tube is directly related to the depth of the water (according to Pascal’s law). The bubble method works well even if there is floating debris or ice in the river, which may interfere with other sensors (such as ultrasonic ones). Since the sensor does not contact the water, it always remains dry and clean. Additionally, to prevent data distortion, the system includes an air dryer (Air Dryer), which removes moisture from the air and prevents condensation.

The accuracy of such systems is 1-2 cm in water level for rivers with shallow depths.

Interestingly, the readings are transmitted not through the mobile network, but via satellite.

Lost in Translation: A Midnight Encounter at Ashburn Station | July 06 2025, 17:28

Yesterday late, around 10-11pm, I was returning from Washington by metro. At the exit of Ashburn station, a relatively well-dressed guy approaches me and asks how to get to Route 7 from the station by bike. I start to answer, then he asks me if I happen to speak Russian. My accent gave me away (damn, how did he know exactly?)

I open the map on my phone, start explaining it to him, go right here, then left, then right, a 45-minute ride. It’s night outside. The dude’s on a bike. He doesn’t have a phone — something is broken or dead. But the most interesting thing, he doesn’t know the address where he needs to go. And Route 7, by the way, is 497 km long, but he obviously meant a segment about 30 km near the metro, but it was still not clear where he needed to go in that section.

In the conversation, it turned out that he knows how to get to the place where he stopped (friends?), from the local Russian-speaking Protestant church, called New Life. I feel I’m explaining to him, he’s overall ready to go alone in the dark without navigation, but from his feedback, I understand he didn’t get it, and at the first turn, he’d go wrong. And at that time, there was absolutely no one on the streets, it’s a neighborhood and data center area (the largest in the world, by the way), very safe, but absolutely deserted. I tell him — my car is parked at the metro, let me give you a lift if that’s the case, it’s no trouble for me.

His name is Edik. He wrecked his car a week ago because he liked to drive “with a breeze”. He regrets it because now he doesn’t understand what to buy a new one with. Lives in Baltimore, came to our area because there’s some Mongolian holiday tomorrow. What? I ask, what the hell is a Mongolian holiday. Turns out he’s from Mongolia, lived there before moving to the USA. Russian family, school at the Russian embassy. Speaks Russian without an accent, and fluent in Mongolian. Illegal. Apparently, he came to the USA on a tourist visa and stayed. Works in a store somewhere near Baltimore. Deep in debt. Apparently, a few adventures weren’t enough and he went to Virginia by bike mixed with metro and buses.

I hope he made it home from the church.

Advancing Full-Text Search: Testing and Refining with Multi-User Platforms | July 06 2025, 04:35

I have developed expertise in full-text search testing. Essentially, it’s a turnkey multi-user platform that, given roughly 1000 queries and several search engine configurations, can produce reports with graphs, metrics, and conclusions by morning, showing why configuration A performs better than B, and here’s why. It calculates all those NDCG@k, MAP, precision, recall, and about a dozen other metrics. It uses LLM, but only at the final stage, after all the math is done.

So, here’s my question. I’m looking for someone who has faced the same issue in their project, to understand the demand and the ask.

The problem the system solves is defined as follows: there is a functional search for goods, documents – Solr, Coveo, Elasticsearch, Algolia – it doesn’t matter, and there are hypotheses on how to improve it, but there is also the fear that improving one aspect might break another. Well, my thing helps to see this in numbers and graphs, providing a conclusion with justification, including statistical significance and other metrics.

It also acts as a virtual search assessor. For each search result, it can give a rating, assessing how well each document matches the query. This is a very non-trivial task (especially for large documents), involving chunking, embeddings, LLM evaluation of relevant chunks, etc. Non-trivial, but it works.

It also can analyze search queries and break them into groups based on similarity. For instance, such segmentation might show that users sometimes separate the words forming a brand name with a space, and sometimes not. These different variants would be grouped together.

I would like to discuss this with someone who knows more about this topic than I do, someone who has/had such problems and has somehow solved them.

I currently feel like my product is unique in the market. Actually, it’s not even on the market yet. But I really don’t see anything similar out there. Maybe nobody needs it?

I won’t publically post screenshots yet. The picture is merely for attracting attention.

Please share if there might be relevant people in your network.

Exploring the Luminescent Life of Fireflies | July 05 2025, 05:02

While walking with Yuka, suddenly the owner falls on his knees and digs around in the grass for a while. That’s when I found a firefly and wanted to capture it lighting up. The firefly Photinus pyralis is quite common here, but I never got around to studying it closely.

Interestingly, the females of another genus of fireflies, Photuris, use the flashes of Photinus males to locate and eat them. It has been discovered that the females acquire special steroids called lucibufagins from their prey, which repel spiders.

(While figuring this out, I learned something new. Luciferase, an enzyme responsible for the glow, is extracted from these fireflies. It’s named after the word Lucifer, Latin for “light-bearer.” Interestingly, Greece also had its Lucifer, “light-bearer,” known as the god Phosphorus. Incidentally, the element Phosphorus was discovered by alchemist Hennig Brand through the evaporation of urine. He named the discovered element phosphorus mirabilis, from Latin meaning “miraculous light-bearer.” This just shows how many things in the world are connected.)

Unveiling the Mystery of the Original Declaration of Independence | July 04 2025, 02:36

Tomorrow is July 4th – Independence Day.

I’m currently reading about it. It turns out that the authentic Declaration of Independence is lost to history, and the document labeled “Original Declaration of Independence” in the National Archives is actually a copy.

By the way, about 80% of the text of the declaration lists why the king is bad. Literally. He doesn’t do this, he doesn’t do that, he forgot about us here, he didn’t remember there. It’s just a straight protest of no kings. The last paragraph of the long text essentially says, in sum, forget him. We want to handle it ourselves.

Jefferson prepared the draft of the Declaration of Independence with all the usual revisions—crossed out words, inserts in the gaps, etc., all written in his poor handwriting. This document exists and is very interesting.

The rest of the committee approved the text, and Jefferson then created a fair copy (still in his bad handwriting and just the size of a regular sheet), which was presented to Congress, voted on, adopted, and received its first signatures. This “fair copy” was the real original Declaration of Independence—and it is precisely this one that is lost.

Later, Congress decided that a version suitable for publication was needed—bigger and, of course, not written in Jefferson’s terrible handwriting. For this, they hired a professional copyist. When he made his copy, Congress held a re-signing. This version by the copyist has the label “Original Declaration of Independence” on the back and is the one currently displayed in the National Archives. It was “original” only in the sense that it served as the master copy for printing.

So what happened to Jefferson’s “fair copy,” the genuine original Declaration of Independence? No one knows. It might still be somewhere in the archives, lost among other documents. Or perhaps someone took it home and preserved it, or maybe it was destroyed by time and circumstances, such as when the British burned Washington.

In 1989, a man named Michael Sparks bought an old painting at a flea market in Pennsylvania for $2.48. When he removed the frame, he discovered a rolled-up piece of paper behind it. This turned out to be one of the rare “Dunlap Broadsides”—the first 200 printed copies of the U.S. Declaration of Independence, printed on the night of July 4 to 5, 1776, by John Dunlap.

This find was in excellent condition and was sold at a Sotheby’s auction in 1991 for 2.42 million dollars (and later resold for even more). This isn’t Bitcoin!

A bit about the dates. On July 2, Congress voted for independence. Not the 4th. On July 4, it was formally ratified by Congress, they spent two days making minor formal amendments, having already decided on the substance. No signatures yet. The date on the document, of course, is the 4th. Copies were printed and sent out the next day. Eventually, the ones sent out were signed by the delegates only on August 2.

Three of the first five American presidents died on this day. Jefferson, Adams, Monroe. Jefferson was in fact the father of this declaration, with Adams, they found the time. So maybe July 2nd would be a more appropriate day to celebrate.

Yes, also—technically—America did not gain independence in 1776. It happened only after the signing of the Treaty of Paris (September 3, 1783), when Britain said: “Alright,” and recognized America as a separate state.

If the War of Independence hadn’t turned in favor of America, Washington (like most of the founding fathers) would likely have been executed for treason. But since it turned out otherwise, they picked that day.