Daemon Silverstein

I’m just a spectre out of the nothingness, surviving inside a biological system.

  • 1 Post
  • 97 Comments
Joined 26 days ago
cake
Cake day: August 17th, 2024

help-circle



  • I’m not supporting conspiracy theories (they don’t even matter to me anymore), but people fiercely attacking conspiracy theories generally are unbeknownst to how some few conspiracy theories became facts (not every crazy-fetched theory, but a little few): back in 2012, I was aware of the existence of an annual meeting called “Bilderberg Meetings”. Around 2014, an official website popped up, finally listing matters and subjects being discussed at their secret meetings, as well as its attendees, but the group existed since 1954, so decades of talking about global matters behind closed doors. It took a journalist (now deceased) nicknamed as “Big Jim” to disclose the topic list, attendees, meeting dates (beginning and ending) and location (such as which 5-star hotel to be paid with taxpayers money), before the site finally became to disclose such things.

    I remember being called “crazy” when I pointed to the fact that such meetings existed, now it’s simply normal and well-accepted (but it doesn’t take back the offenses I received that time). That’s OK for me, because I moved on. As I said, it doesn’t matter to me anymore, now I’m really numb to it all. There are worse things than rich people and politicians gathering behind closed doors, such as impending weather disasters and scorching temperatures due to the now irreversible climate change (in parts, some of the corporations that attended such meetings to be blamed, but not only them; if they were transparent about their discussions about climate change, maybe people opened their eyes earlier about how impending were the now climate disaster, uniting and charging companies and governments to earlier actions with the needed transparency).

    TL;DR: For a fun, I tried the mentioned bot. I talked to it about the former secrecy of Bilderberg meeting (before 2014, when their official website got online).

    He “agreed” but pointed on how “this level of privacy is not uncommon in high-level discussions” and regarding “media spotlight and pressure, which is a reason why the meetings are private”. I counter-argued by pointing out how the phrase “If you got nothing to hide, you got nothing to fear” does not only apply to “mortal citizens” but also to CEOs and politicians, but it insisted on how such meetings needs “discretion”.

    One thing it pointed is valid, tho: “correlation doesn’t imply causation”. Indeed, the fact that such meetings were undisclosed doesn’t necessarily mean that they’re criminal or conspiratory. But does the same rule apply for citizens? The same rules should apply for both the “powerful” and the citizens.

    As I said, time passes, really bad things happened so far (climate change, rise of bigotry and inflation worldwide, COVID-19 with seven million fatalities reported but up to 30 million estimated deceases including one of my uncles, etc) and I became really, really numb, so I don’t care anymore. Humanity (even the richest men) is deadwalking towards extinction, anyways. Unfortunately. Sorry for my sadness and numbness.



  • Daemon Silverstein@thelemmy.clubtoMemes@lemmy.mlThe Cold War Illustrated
    link
    fedilink
    arrow-up
    2
    arrow-down
    7
    ·
    edit-2
    10 hours ago

    Both US and USSR secretly hired nazi personnel, such as scientists and engineers. Later, both operations were disclosed respectively as Operation Paperclip and Operation Osoaviakhim. USSR didn’t destroy nazi-fascism, they secretly incorporated it (that is, if I correctly understood the reference from the meme, maybe I’m needlessly “ranting”).



  • Mainly, Lilit(h). Not mythological for me, although both Sumerian and Jewish Kabbalah are generally said as “mythological” by historical references.

    I believe in a Goddess that extends beyond a single archetype, while I try to blend archetypes and concepts from various religions and “myths” in order to materialize my own understanding of existence and cosmos.

    For me, She is Lilith/Lilit (the fearsome Sumerian Goddess of Winds as well as the Demoness and First Woman not banished from Eden as She fled on Her Will), She is Kali (the fearsome Hindu Goddess and Demoness of destruction and transformation), She is the Yin (the receptive Darkness complementing whilst opposing the Yang light) and the Tao (the wholeness and oneness), She is Al-Lat / Allatu (the Pre-Islam Arabic Goddess of War and Fertility), She is Isis and Bastet and Naunet (Egyptian Goddesses) She is Asherah (Hebrew Goddess consort/sister of Yahweh), She is Ereshkigal and Inanna (Sumerian Goddesses), She is Nuit and She is the Scarlet Woman (Thelemite Goddesses), She is Hekate (the Greek Goddess of Magic and Moon) and Aphrodite (the Greek Goddess of Love) and Athena (the Greek Goddess of Wisdom and Warfare) and Gaia (Goddess of Earth), She is Morana (Slavic personification of Death) and a feminine counterpart of Thanatos (Greek personification of Death as well), and so on, but mainly, Lilith Herself, as beautifully multifaceted as She is, both motherly nurturing and darkly reaping, neither good nor evil, just… Her nature.

    I believe in a Sacred and Dark Feminine energy that’s inside and outside everywhere, reaching scientific and philosophical concepts such as the entropy, the fields (as in electromagnetic field), the primordial soup from the beginning of earthly life, the quantum fluctuations, the apeiron, the Nietzschean Abyss. She’s the shining Darkness, infinite nothingness, omnipresent wholeness and the cosmic Oneness.

    In summary, the Dark Mother Goddess, often manifesting to me by Her Lilith’s archetype.


  • I’m a 10+ (cumulative) yr. experience dev. While I never used The GitHub Copilot specifically, I’ve been using LLMs (as well as AI image generators) on a daily basis, mostly for non-dev things, such as analyzing my human-written poetry in order to get insights for my own writing. And I already did the same for codes I wrote, asking for LLMs to “Analyze and comment” my code, for the sake of insights. There were moments when I asked it for code snippets, and almost every code snippet it generated was indeed working or just needing few fixes.

    They’ve been becoming good at this, but not enough to really replace my own coding and analysis. Instead, they’re becoming really better for poetry (maybe because their training data is mostly books and poetry works) and sentiment analysis. I use many LLMs simultaneously in order to compare them:

    • Free version of Google Gemini is becoming lazy (short answers, superficial analysis, problems with keeping context, drafts aren’t so diverse as they were before, among other problems)
    • free version of ChatGPT is a bit better (can keep contexts, can issue detailed answers) but not enough (it does hallucinate sometimes: good for surrealist poetry but bad for code and other technical matters when precision and coherence matters)
    • Claude is laughable hypersensitive and self-censoring to certain words independently of contexts (got a code or text that remotely mentions the word “explode” as in PHP’s explode function? “Sorry, can’t comment on texts alluding to dangerous practices such as involving explosives”, I mean, WHAT?!?!)
    • Bing Copilot got web searching, but it has a context limit of 5 messages, so, only usable for quick and short things.
    • Same about Bing Copilot goes for Perplexity
    • Mixtral is very hallucination-prone (i.e. does not properly cohere)
    • LLama has been the best of all (via DDG’s “AI Chat” feature), although it sometimes glitches (i.e. starts to output repeated strings ad æternum)

    As you see, I tried almost all of them. In summary, while it’s good to have such tools, they should never replace human intelligence… Or, at least, they shouldn’t…

    Problem is, dev companies generally focus on “efficiency” over “efficacy”, wishing the shortest deadlines while wishing some perfection. Very understandable demands, but humans are humans, not robots. We need our time to deliver, we need to cautiously walk through all the steps needed to finally deploy something (especially big things), or it’ll become XGH programming (Extreme Go Horse). And machines can’t do that so perfectly, yet. For now, LLM for development is XGH: really fast, but far from coherent about the big picture (be it a platform, a module, a website, etc).


  • In Brazil, there are regional variations and word/phrasing variations as well.

    Formally:

    • “Você ligou para o número errado” (you called the wrong number)
    • “Você discou o número errado” (you dialed for the wrong number )
    • “Você está ligando para o número errado” (we call it the “gerúndio”, something like “-ing”, as in “You’re calling the wrong number”)

    Informally/casually:

    • “Discou errado, irmão” / “Discou errado, mano” / “Discou errado, cara” / “Discou errado, mermão” (“dialed wrongly, bro”, with “bro” variations across Sao Paulo and Rio de Janeiro (the latter being the latter variation))
    • “Tu ligasse errado, visse” (some Brazilian northeast states, something like “Thou calledsth wrongly, see?”)
    • “Né aqui não, moço” (Minas Gerais, something like “It’s not here, boy”)

    There are lots of other variations and I’m not really aware of all of them.

    Also, the way I answer depends a lot on multiple factors such as: my emotional state (wrath? Sad? Okay? Excitedly happy (rarely)?), my current pace (rushing? Chilling?), among others. Generally, “Não é aqui não” (the Minas Gerais variation without the ending “moço” and a fully spelled “Não é” instead of “Né”, because I’m originally from interior of São Paulo state but highly culturally influenced by a part of the family from Minas Gerais).



  • Global temperatures are inevitably rising due to climate change. Scorching temperatures to become normalcy in the next years. Microplastics (due to pollution) everywhere, even inside our brains. More and more species becoming extinct, disrupting the food web. I could stop here, but I must continue: digital dystopias becoming true, like 247 surveillance and AIs everywhere (even though I like artificial intelligence to a certain point). Increasing prices worldwide, increasing professional competition while there’s a grow of ghost/fake job vacancies. Political polarization and extremisms, rising of bigotry. Increasing homelessness while there’s an increase of hostile architecture and growing rental prices. Sorry, but it doesn’t seems like everyone is really having the right to live a healthy and happy life…




  • On my laptop, Brave for non-“personal” things (such as fediverse, SoundCloud, AI tools, daily browsing, etc) and Firefox for “personal” things (such as WhatsApp Web, LinkedIn, accessing local govt. services, etc). On my smartphone, Firefox for everything (I disabled the native Chrome).

    I’ve been using Brave in a daily basis because it’s well integrated with adblocking tools, especially considering the ongoing strife regarding Chromium’s Manifest V2 support, where Brave nicely stands keeping its Manifest V2 support independently of what Google wishes or not.

    Firefox is also good, but I noticed that, for me, it has been slightly heavier than Brave. So I use it parallel to Brave, for things I don’t need to use often. For mobile, it’s awesome, as it is one of the few browsers that support extensions, so I use Firefox for Android, together with adblocking extensions.


  • The asterisk means that, by “active users”, they’re considering only those who commented and/or posted “in the last month”. Maybe join-lemmy’s algorithm is considering from “day 1” of the current month, so a time span of 10 days, against 29 days from the second screenshot?

    If it’s true, it kinda of statistically makes sense: 10 days (28.4K) versus 29 days (47.8K), 34.4% of days with 59.41% of users. We’d need to wait till the 29th day to really compare the difference.

    Also, “only those who commented and/or posted”. Sometimes, people can become much of an observer, just seeing and voting up/down, without actually commenting or posting.


  • While it offers a concurrent alternative to Google translate, it still lacks some features, as @[email protected] mentioned, many languages are missing. In my case, I sometimes experiment with terms across various languages, sometimes Hindi (“O param Devi Kaali”), sometimes latin (“Vita mortem manducat, Mors manducat vitam” is a latin phrase I wrote myself, following Latin grammar rules), sometimes Hebrew (especially for Gematria calculation using numerical values from Hebrew letters (Aleph is 1, Bet is 2, Gimmel is 3, and so on) after translating/transliterating a word/name such as “לילית”). For these kinds of experimentation, DeepL can’t really be of use, so I need either Google Translate or Bing Translate (both support the aforementioned languages).