anti-idpol action

I am working on fedi software that is hoping to allow Kodi, Plex and Popcorn Time get rid of IMDb/TMDB dependency. Dm me if you’re skilled in SvelteKit and/or Go, especially the Fiber framework, or machine learning with Rust and willing to contribute.

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Joined 1 year ago
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Cake day: September 10th, 2023

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  • 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.


  • premature optimization is a root of all evil.

    also when those morons decide to do ‘microservices’ but end up creating glorified SOA with one messy DB where half the tables are not even used by anything, updates in place are the standard and there is nothing like one team per service, but instead everyone is expected to navigate millions of lines of spaghetti code with poor documentation, barely any reuse and inconsistencies all across the board with this oh too-fucking-common entity service anti-pattern.

    and so much fucking coupling that you better start deploying your dev cluster just right after waking up so it maybe is up and running by the time your daily is over.

    Fun fact, I used to work at a company where a lot of projects use Elixir and a bulk share of my coworkers have been outspoken critics of microservices precisely because OTP manages to power fault tolerant and scalable systems but not by insane levels of complexity like kubernetes does but by CoC that rarely gets in your way.


  • I only use vscodium for things that are not that well supported by neovim, in my case it’s only Scala basically, but I guess I’m just to lazy to properly configure metals. I use Sway as my desktop and I don’t want to go into configuring DPI just for vscodium or switch to gnome to not ruin my vision even further when using it. This is what I like about terminal-based editors - the whole Ui scales with a single key combination. Speaking of which I also consider the combinations provided by many Neovim “distributions” (and my workflow ;p) way more ergonomic than emacs-y finger gymnastics of vscode and the likes, since I just hit the space twice and type a command alias without moving my fingers from where they should be on the keyboard instead of memorizing gazillion combinations working little by little towards giving me a carpal tunnel.








  • Similar observation here, after 7 months of absolute hell of financial difficulties and humiliation forcing me to move back in with my folks I literally went to having a possibility of overemployment or being picky again literally over a couple of weeks which also gives me hope that compensation will finally start to catch up to the inflation.
    Wonder why is that, but I would guess it might be that overzealous layoffs motivated by short-term bump in stock price started backfiring, especially considering the maintainability of so many, many commercial projects where turnover absolutely does not help.

    Though I wouldn’t count my chickens before they hatch, the system is abso-fucking-lutely not rational and the global economy is on a path of going from crisis to crisis.








  • the real question is whether you use git variants. Which is another way of not making arch (and Gentoo) certainly not free as in free beer, especially if you live in Europe and need to deal with those outrageous energy prices. btw imo one should be suspicious of projects with long tagged release cadence since it’s usually a sign of technical debt and the need to look for alternatives.