So, it seems like this is the time to somehow sum up the current AI hype (way through the roof) and the immediate and long term consequences of it. First of all, a proper education – studying the fundamental underlying principles instead of particulars – which used to be an unofficial mantra of MIT, pays off again. One just sets particular constraints to a coding LLM and use it as a whole-data-center-powerful constraint satisfaction engine that spews out a slop, which then can be used for rapid prototyping and minimal-viable products. The properly constrained slop can even be used as the basis of a project, which then undergo proper continuous improvement and refinement by a human expert (who knows the whys). ...

What a shitshow – https://news.ycombinator.com/item?id=46154491. – HN midwits are outdoing themselves in trying to signal their virtues and unique snowflakeness. Turns out I know enough math, programming, LLM theory (including the underlying math) and trading (in the Elder’s tradition) to understand that this is an utter crap – “Everyone is a genius in a bull market”. This is bullshit at so many levels, and yet, someone paid for this and the “researchers” got the highest possible “living standards”, of course. ...

I think I have seen this before. Once in Varanasi, wandering around book stalls (most titles already “tourist books”, – oversimplified and westernized “tantric” bullshit), I found a whole book by some local publisher which describes in a minute details one single Brahmanic ritual (an elaborate sacrifice) which last almost a whole day. Hundreds of ingredients are being burn in a precise sequence, or rather a simphony of chants. motions, gestures (mudras) and many other elaborate details. The priests (brahmans) definitely knew what they are doing and why exactly this way is the only proper way. ...

I am a well-read Humbert. I even remember reading back then that Norvig’s essay about how all the “stupid” OO “design patterns” can be just higher-order functions, (which are, in turn, are just instances Barbara Liskov’s Abstraction by Parameterization principle). Yes, I have read her books too, and the Jackson’s, and Richard Bird’s and what not. Like Jelal in the Orhan Pamuk’s “Black Book” I have carefully selected and cultivated my “garden of memory” (or was it “memery”?) which is now begin to wither and to fade away. Was it all in vain? Well, everything is in vain in the long-enough run, but not like this. ...

Once upon a time I find it difficult to read these lecture notes in https://www.cl.cam.ac.uk/teaching/1718/L28/materials.html because of ESL and math “fear”. Nowadays I could, probably, explain the fundamentals more clearly in just a few pages. The “End Of Knowledge” (of seeking to Understand) can be achieved by just a few simple realizations, which means attaining one’s own “Right Understanding” through direct experience and one’s own “a-ha moments”. Arguably, the “Upanishads” of Programming began with this book: Abstraction and Specification in Program Development by Barbara Liskov and John V. Guttag. No, a few years earlier Michael A. Jackson wrote Principles of Program Design, which emphasized the fundamental principle that one’s program structure should reflect (actually to be in one-to-one correspondence with) the problem structure (which can be defined as an inherent layered structure of complexity of the domain ). But Liskov and Guttag took it to a whole new level. ...

The thing I hate the most is when some of these fucking YouTube content “creators”, which decide to monetize an AI coding clickbait with low-effort subpar videos, say “aaand boom!” when another chunk of a slop has been spewed out by an AI. This “boom!” is an insult to the last 60 years of the programming languages research (including the math-based theory) and to the “old sages” which crafted their languages and standard libraries in the best possible, “just right”, perfect, in the sense of “nothing more to take away” by surveying all the available literature, non-bullshit papers and spending months of anguish and self-doubt. ...

So, things begin to move a lot faster and much bigger, and there is something to realize about this unpreceded AI bubble. We will consider only the underlaying fundamental principles, not the particular implementation details, “architectures” and what not.. There are four major aspects to any LLM model – the training process, the “architecture” (the structural shape) of a model, the " post-training tuning" (lobotomy) of the model and the inference process. ...

So I compiled that zed “editor” thing everyone is talking about. And I watched carefully the shilling video. Conclusion? Everything is fucked up beyond repair. Why, yes, I understand, a project which is trying to compete with Cursor, but with their own halfassed “vscode” writtern in Rust slop (as a wrapper to the webrts, lmao). It compiles hundreds of crates into something that looks like vscode, sacrificing any safety concerns (simply because the underlying C++ code is inherently unsafe and imperative, even with -fno-exceptions -fno-rtti). “Written in Rust” thus is just a “marketing” meme. ...

So what happened October 10 2025? This is called a “liquidation cascade”, when all the degens rushed on the same side of a boat (uncertainly over-levelraged longs at an obvious top). The exact mechanics cannot be known in principle, since everything happens at the level of exchange’s matching engines, which may even glitch at such high loads. The facts are that market orders are “by design” executed to the words possible price (depending on the direction) to maximize profits for an exchange, since clients “don’t care”, and limit orders are almost always been “not filled” (not out problem!), to maximize loses of our “valued customers” and hence exchange’s profits. ...