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Joined 2 years ago
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Cake day: January 16th, 2024

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  • The trope of somebody going insane as the world ends, does not appeal to me as an author, including in my role as the author of my own life. It seems obvious, cliche, predictable, and contrary to the ideals of writing intelligent characters. Nothing about it seems fresh or interesting. It doesn’t tempt me to write, and it doesn’t tempt me to be.

    When I read HPMOR, which was years ago before I knew who tf Yud was and I thought Harry was intentionally written as a deeply flawed character and not a fucking self-insert, my favourite part was when Hermione’s death. Harry the goes into grief that he is unable to cope with, disassociating to such an insane degree he stops viewing most other people as thinking and acting individuals. He quite literally goes insane as his world - his friend and his illusion of being the smartest and always in control of the situation - ended.

    Of course now in hindsight I know this is just me inventing a much better character and story, and Yud is full of shit, but I find it funny that he inadvertently wrote a character behave insanely and probably thought he’s actually a turborational guy completely in control of his own feelings.








  • I haven’t worked in industry for a while now but from your accounts it seems like… nothing’s changed?

    Sturgeon’s law very much applies to software engineers. I’m sorry but the vast majority of people in my junior cohort I wouldn’t hire to replace my lightbulb. Of course they’re all in on LLMs. They’ll be doing what they were doing best, generating tons of awful code they copied from somewhere else that the adults in the room will have to clean up later, just the generation and copying is now paid at a $100 monthly subscription.

    Like seriously, it doesn’t matter even a tiny bit the code got generated by a bullshit machine when the code is Node.JS anyway. If you’re building a giant penis out of cow dung it doesn’t matter who your construction crew is and how good they are. And the industry is like 90% building giant penises than never come to fruition anyway.



  • This seems like yet another disconnect between however the fuck science communication has been failing the general public and myself.

    Like when you say space I think, fuck yeah, space! Those crisp pictures of Pluto! Pictures of black holes! The amazing JWST data! Gravitational waves detection! Recreating the conditions of the early universe in particle accelerators to unlock the secrets of spacetime! Just most amazing geek shit that makes me as excited as I was when I was 12 looking at the night sky through my cheap-ass telescope.

    Who gives a single fuck about sending people up there when we have probes and rovers, true marvels of engineering, feeding us data back here? Did you know Voyager 1, Voyager Fucking ONE, almost 50 years old probe, over 150 AU away from Earth, is STILL SENDING US DATA? We engineered the fuck of that bolt bucket so that even the people that designed it are surprised by how long it lasted. You think a human would last 50 years in the interstellar medium? I don’t fucking think so.

    We’re unlocking the secrets of the universe and confirming theories from decades ago, has there been a more exciting time to be a scientist? Wouldn’t you want to run a particle accelerator? Do science on the ISS? Be the engineer behind the next legendary probe that will benefit mankind even after you’re gone? If you can’t spin this into a narrative of technical progrees and humans being amazing then that’s a skill issue, you lack fucking whimsy.

    And I don’t think there’s a person in the world less whimsical than Elon fucking Musk.



  • CIDR 2025 is ongoing (Conference on Innovative Data Systems Research). It’s a very good conference in computer science, specifically database research (an equivalent of a journal for non-CS science). And they have a whole session on LLMs called “LLMs ARE THE NEW NO-SQL”

    I didn’t have time to read the papers yet, believe me I will, but the abstracts are spicy

    We systematically develop benchmarks to study [the problem] and find that standard methods answer no more than 20% of queries correctly, confirming the need for further research in this area.

    (Text2SQL is Not Enough: Unifying AI and Databases with TAG, Biswal et al.)

    Hey guys and gals, I have a slightly different conclusion, maybe a baseline 20% correctness is a great reason to not invest a second more of research time into this nonsense? Jesus DB Christ.

    I’d also like to shoutout CIDR for setting up a separate “DATABASES AND ML” session, which is an actual research direction with interesting results (e.g. query optimizers powered by an ML model achieving better results than conventional query optimizers). At least actual professionals are not conflating ML with LLMs.