Nyancient CthUwU

10 Followers
38 Following
282 Posts
weeb / functional programmer / computer science phd / leftist sjw / magical non-binary girl(?)
Pronounsthey/them
GitHubhttps://github.com/nyancient
@RosaCtrl I wouldn't be so sure about the two year timeline, but LLMs have a vast problem of economics to solve if they're going to stay around. I'd say it's far more likely that they'll be gone or replaced with much smaller local models (that is, actual local models; not "local" models that can run on Miguel de Icaza's 256 gig VRAM "consumer" Mac), than that people start regarding LLM prompts as source code.

@RosaCtrl oh.

Can we guillotine him anyway though?

@RosaCtrl yeah, you'd think he'd have learned to shut up after that time he got blasted for thanking his warehouse slaves for sending him into space...

@RosaCtrl sounds like classic "effective altruism" drivel to me. The computer will simulate trillions of humans in the future and those simulations will be happy, so genociding a few billion today is basically a moral imperative if it brings the simulation fantasy even slightly closer to reality.

They're all basically part of the same cult.

@skinnylatte imagine having the hubris to believe that your video player is worth more than seven Windows licenses. I hope that I, too, will one day have that kind of unfounded self-confidence.
@tante regarded by whom? I don't think I know anyone - including heavy LLM users - who would agree with that statement.
@hrbrmstr I'm so happy we're getting kicked out for being too small. Apparently you can now only license VMware in units of 1000 CPUs.

The key value of rapid prototyping *for the author and prospective contributors* is lost when the prototype proves only that a mechanism is possible, without also capturing and expressing the kernel of the implementation idea.

(Incidentally this is also why I love those rare projects which preserve the initial rapid prototype in the repo for reference, long long after the program has grown into a full-fledged robust implementation.)

I'm seeing people compare LLM generated code to "a hacky shell or Python script", as in a rough throwaway tool not meant to be built atop or understood.

Gently, I'll argue that this is misunderstanding the value of shell scripts in particular & rapid prototyping in general. The value and the point of shell scripts is to set down on disk the smallest kernel of a working idea specifically so it *can* be understood clearly, then iteratively expanded & replaced to cover surrounding special cases.

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