The party was meant to just be the organizer of the workers, not the ruler. The degeneration took off only after Lenin’s death and the 4th Congress of the Comintern, which was dominated by Troika. that’s why Mayakovsky was a devout Bolshevik until Stalinzation advanced and started scrapping several progressive conquests of October, leading to his suicide at the refusal to prop up the Stalinist degeneracy.

Also Lenin was, for instance, not a big fan of the many experimental artistic movements that flourished after the Revolution, but did not suppress them, unlike Stalin.

He also regretted banning other parties (but which was necessitated by every single one of them taking up arms against Sovnarkom) and before his death wanted to offer Trotsky a post of Commisar of Internal Affairs in a desperate bid to curtail the bureaucracy, but Trotsky, unfortunately, refused.

implying that corrupt scumbag Brezhnev was a proper communist

Notesnook ftw

https://altcha.org is nice plus a crowdsec bouncer

Lenin was 47 in 1917

(\r (frequencies “strawberry”))

the ‘I’ in LLM stands for intelligence

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lots of onions cut in rings as they resemble parentheses the most

death by specificity is a thing…
HTTPServletRequest has a fuckton of methods but 90% of them could be eliminated if one treated the data as a simple fucking map instead of creating 4 methods for each key in every record of your schemas.

personally I’d sum it up this way: it is usually enough to abstract two parts of your code: the repetitive stuff and the stuff that can be separated from external dependencies like db or network. That should be enough to ensure readability and that you can test it properly and not have to deal with rewriting half your codebase when you decide to change an external dependency.

Funny how he is actually now a fan of Clojure yet the examples in his book are actually full of mutating data and side effects. And Rich Hickey also stressed that tests are no silver bullet.

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tfw I recently worked on a side project where I was too lazy to change the log level but not sloppy enough to use raw printf so I’d just throw stuff into info and then remove the statements once I solved my issue

Good luck to AI-based legal “solutions” startups, hope they and their customers are generously insured to cover for the fallout of such blatantly ignorant stupidity that completely discards our current subject matter expertise, which clearly shows that the error rate is too high, while you’re either right about the law or you’re not.

…made using the arguably the most criminally environmentally disastrous tech we’ve invented in the past few decades. How ironic!

Why does it have to always be a hype that is a literal kick in the eye of gamers? Previously it was shitcoins, now it’s hallucination engines… I’m afraid what’s up next.

a webpage that simulates a systemd shutdown when that one stupid service won’t stop?

I need to disagree with you on AI. We did not fail at it. Not because LLMs are good. But because any program processing arbitrary data, even a stupid simple calculator is AI – a machine performing work that human brain can do, ideally with the added benefit of maximized determinism and greater speed. If you reduce this generalistic term I believe is so overly broad we should cease to use it to LLMs, then these criteria seem to have been thrown out of the window since they are usually heuristic balls of python mud.
So having established that it is all just software that processes arbitrary data, let’s go back to the basics of software design. Huge amounts of money and working hours have been thrown into the erratic attempts to create a software that can do everything at once. GPT extensions are fucking dystopian and here is why – we had a tool for that for decades that does it much more better, without imposing digital handcuffs on the user and burning the planet – IT’S CALLED AN OPERATING SYSTEM AND PROGRAMS.

General-purpose AI is a lie sold to you by monopolistic surveillance capitalists for whom it is a dream come true since making a decently reliable LLM requires prohibitively large resources but the endless stream of data much larger and contextualized than was the case for search engines thrown at it compensates that quite well, a pipe dream in terms of achieving what it is aimed to achieve with it’s current design and a nightmare to build and test.

So if we discard this term as a meaningless overly broad buzzword it is since computation on non hardcoded data is what we’ve designed computers that are not just state machines for, let’s talk about what makes Lisp is so good at data-driven programming:

1. Functional programming is generally more deterministic since you have immutable persistent data structures everywhere. This also makes it quite good at implementing safe, reliable concurrency.
2. This determinism is furthered by the homoiconicity – the fact that the boundary between code and data is the outcome of using S-expressions and has powerful implications for eliminating so many data conversion bugs and complexities, all while usually not using static typing (!) and also for the language’s extensivity and building DSLs
3. Very simple syntax, again thanks to S-expressions - just (function arguments...) basically.

I think Eich understood that when he initially wanted to port Scheme to the web browser, after all html does have lispy semantics, but office politics in the heyday of Java forced him to give up on this idea and we’ve ended up with this goofy counterintuitive mess that bred hacky workarounds instead of the extensivity we could’ve had if he did so - take a look at Hiccup templating DSL and decide for yourself if this or jsx are simpler ways of writing out stuff to the DOM.

it’s a feature not a bug, still simpler than chaining 10 iterators where half of them also requires a callback parameter. Clojure even disallows nested % iteratees.