VivaTechnics

fn main() { let mood = "awful";

    let mut msg = r#"
    We feel super sad.
    Rust in Peace.

    Steel dreams compile to dust,
    Silent threads unwind.
    Memory fades,
    Borrowed time returned.
    "#;

    println!("{}\n{}", mood, msg);
}

Similar to Kiva Systems which was Amazon's best acquisition, Waymo is simply Google's best acquisition. (We live in San Francisco and it feels much safer around these Waymo cars than average "drivers".)

AI doesn’t eliminate deep thinking; mediocre companies and minds do. Don't blame everything to AI and find a true company and find a way to join them.

OPINION:

This will only compound wasted time on Claude.ai, which exploits that time to train its own models.

Why time wasted? Claude’s accuracy for shell, Bash, regex, Perl, text manipulation/scripting/processing, and system-level code is effectively negligible (~5%). Such code is scarce in public repositories. For swarms or agents to function, accuracy must exceed 96%. At 5%, it is unusable.

We do also use Claude.ai and we believe it is useful, but strictly for trivial, typing-level tasks. Anything beyond that, at this current point, is a liability.

Python won because simplicity scales. Like English—26 letters, minimal grammar—it became the default. Python mirrors that trajectory.

It is trivially learnable, absurdly flexible, and unmatched in ecosystem leverage. No simpler language delivers comparable reach.

Python may not be so suitable for systems, real-time, or performance-critical work—that’s Rust, C, and C++.

Nevertheless, every serious engineer must know Python, just as they must know shell/bash scripting. Non-negotiable.

LLMs operate on numbers; LLMs are trained on massive numerical vectors. Therefore, every request is simply a numerical transformation, approximating learned patterns; without proper trainings, their output could be completely irrational.

Good work! `type<T>` (generic types) can mimic dependent types for this?