Lets “solve” programming (once again, LOL), in a couple of pages, simply because why tf not. and to put the LLMs and their shills and worshipers into shame (yes, yes, I know, they do not have any). We will build a simple abstract and general “meta-theory”, which is, like a religion grounded on Buddha’s compassion, provide a foundation of peaceful and cooperating traditions, which guide people in their decision making in a overwhelmingly complex Reality by providing easy to understand and easy to apply “heuristics” or “rules of thumb”. ...

DESCRIPTION: It is over. It is that simple. It explains almost everything correctly. This is just another way of saying that familiarity and 10,000 hours of practice are not optional. The best books about trading the stock market has been published before the dot-com bubble, in the late 90s, driven by the emerged opportunities of computerized trading (using dial-up modems to download the data and to access the broker). People who were familiar with trading back then and have had enough experience were prepared to participate in the crapto craze, while “we” have to learn anything on the go, under a tremendous emotional and cognitive pressure, and fail, because we didn’t know what information is relevant and what signals are meaningful, along with the lack of solid trading practices. It is that simple. ...

Given the US govt. security agencies recommendations for using Memory Safe Languages (as if there is more than one!), let’s bootstrap the right understanding of what the “memory safety” means from the first principles. The “first principles” will be indeed the first ones, because we will go all the way back to the underlying recurring patterns in What Is, from which the fundamental mathematical notions have been captured, properly generalized, abstracted away, named and their properties systematically studied. ...

An intuitive understanding – approximate, imprecise but not wrong in the principles. A level of vague abstractions which capture the right underlying relationships – nothing essential is missed, nothing imaginary and non-existent is added. Everything “just naturally follows” from (can be explained by) the “right [intuitive] understanding”. This is what our ancient ancestors used before they have evolved the “scientific method”. Almost everything, however, can be “explained” (to a fool) by an arbitrary super-natural make-believe nonsense, so we have to be very suspicious to what the “talking heads” are saying and question everything. ...

Reading Rust theads on /g/ is an endless source of astonishment . We live in the age of enshitffication of knowledge and even information, where literal genens are obsessed with emotionally charged narratives about make-believe problems. Anyway, whatever. The real and fundamental innovation behind Rust is this. The great well-educated by studding the underlying principles of everything around them “old-timers”, like Joe Armstrong (R.I.P.), discovered the mathematical /fact that sharing and mutation cannot coexist in principle. The fundamental mathematical property of “referential transparency” is necessary to make any guarantee about the correctness of a program. The notion is that everything is an expression and any expression is “pure”, and only denotes a value (to which it can be eventually reduced or evaluated to. Thus, any expression can be substituted by a value it denotes (eventually evaluated to) without changing the meaning (semantics) of the any other expression within a program. This is the essence of functional programming, and it is a fundamental property of all correct programs. ...

Rust code is the ultimate evidence of the principal inability for a probability-based generating algorithm (based on sampling from a “learned” probability distribution over “tokens”) to come up with something that passes the type checker, but for the most trivial cases. The “causality” is that generation of the complex syntactic forms without the actual, proper understanding principles and heuristics is, well, “problematic”. The running example is these were subtle “already borrowed” panics, where the issue in with the underlying semantics, and the syntax is “correct”. The problem is that a recursive function has to drop all the borrows before a recursive call, and this constraint cannot be expressed in the syntax unless by redundant bindings which will automatically be drooped at the end of the scope. ...

https://www.youtube.com/watch?v=LCEmiRjPEtQ and, of course, the No.1 spot on the Chuddie safe space https://news.ycombinator.com/item?id=44314423. Karpathy is shilling “Cursor” and other cloud-based mettered AI services (which have to pay back their debts). Probably has an interest in it and some other meme AI startups. Nothing to see here. We should some day know which marketing “genious” came up with this “winning strategy” – to metter every single token (byte) and try to sell this to corporations. Corporations do not want to be mettered like that, they want to metter normies, the way Cellular operators do, and they never use any normies plans themselves. ...

DESCRIPTION: Read some Shiller for Christ sake. I am so tired. These things, when I suddenly stumble upon them, render me speechless and feel wasted and burned out https://www.kaggle.com/code/vanpatangan/forecast-bitcoin-future-price This is a Jupyter notebook (an .ipynb), originally developed on Google Colab, where they have all the datasets and the tools to run the notebooks quickly. It uses some pre-defined package called Prophet (just imagine!) , which I assume contain some basic “state-of-the-art” statistical inference crap. ...

There is something to be actually realized as soon as possible (which I recently experienced directly) –the condition-probability-based “glorified autocomplete” could generate some small pieces of code (with intelligent prompting) that simply above (in intrinsic quality) 90% of all the related crap that could be found on Github, which easily extrapolates to 90% of people in existence who identify themselves as “programmers”. Period. The code will be better than high-dopamine, “laser-focused” (on Adderall or just amphetamines), but not so well-educated on fundamentals zealots could produce. Better than inexperienced in realities of the actual open-source software ecosystems academics could even hope to write, no matter how good their theoretical understanding is. With very specific and properly constrained prompting, which takes into account the major results of the last 50-or-60 years of PL and CS research, especially in the field of math-based Functional Programming and Immutable Data Structures, one can get almost optimal (approaching perfection small pieces of code, provided you understand what theoretical-limited perfection actually looks like in this particular case, and why. ...

Testing interacts with your dopamine system, so you will a small yay! every time all tests passed. This is crucial, because motivation tend to decays exponentially and to experience inevitable “crashes” after spikes. TTD is sort of a direct consequence of type-driven (or “types first”) approach to prototyping. Ideally, each type is associated (in an one-to-one correspondence) with each distinct concept in the problem domain, at an appropriate level of abstraction. ...