How large should a standard library be?
I’m inclined to say “huge”, but I’m curious what others think. And my views are open to change here.
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Demi Marie Obenour
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Software developer and security researcher. Currently working on Spectrum. Follows are not endorsements.
@freddy I’d start by redoing how futures are implemented.
@freddy I agree. If something has been stable for a few years and is widely used, it should probably be in std.
@freddy How big is too big? Is “safe Vulkan API bindings” too much? What about “full GUI toolkit” or “building blocks for an OS kernel”?
@chrisdenton That is definitely a risk. Ensuring that parts of it are maintained as if they were third-party libraries could help.
@cadey Oh dear, sorry about that. Want me to edit or delete the post? That was (very) insensitive.
I hope your recovery goes well!
@cadey “You have become the very thing you swore to destroy.” /s
(This is a joke about the irony of you using AI and also making a tool that fights AI scrapers. It’s purely meant to be funny and not meant as a criticism!)
Edit: this was not appropriate. Please read https://pony.social/@cadey/116283959751920568 before replying or even favoriting.
Xe :verified: (@[email protected])
@[email protected] Buddy, I recognize the irony; however I am recovering from major surgery (I'm not allowed to sit normally until late May) and only have so much energy in the fucking day. I need to get this shit done. I have to use every tool available to me to get this done before the deadline or I get massive fines. Additionally, I'm actually somewhat centrist on the use of generative AI and am trying to ride the gravy train of AI companies giving me free shit for some reason and determine for myself if there's actually something fundamentally useful in that tooling. So far I'm finding a bunch of things useful enough that I'd be willing to pay for them (especially because all those costs then become taxable business expenses which save me money on my yearly tax filings, which suck because GitHub Sponsors and/or Patreon). Please kill the image you have of me in your head. The reality is starkly different.
@EllisArcwolf Would you like to elaborate on this?
I was a young man once. A kind, generous, optimistic young man who wanted to make the world a better place for the people he loved.
In his late 30s, the damage the people he loved had done for decades finally took its toll, and he died.
There are several ways to interpret that, but I am curious which one you meant.
Emily 🏳️🌈🏳️⚧️My biggest problem with the concept of LLMs, even if they weren’t a giant plagiarism laundering machine and disaster for the environment, is that they introduce so much unpredictability into computing. I became a professional computer toucher because they do exactly what you tell them to. Not always what you wanted, but exactly what you asked for.
LLMs turn that upside down. They turn a very autistic do-what-you-say, say-what-you-mean commmunication style with the machine into a neurotypical conversation talking around the issue, but never directly addressing the substance of problem.
In any conversation I have with a person, I’m modeling their understanding of the topic at hand, trying to tailor my communication style to their needs. The same applies to programming languages and frameworks. If you work with a language the way its author intended it goes a lot easier.
But LLMs don’t have an understanding of the conversation. There is no intent. It’s just a mostly-likely-next-word generator on steroids. You’re trying to give directions to a lossily compressed copy of the entire works of human writing. There is no mind to model, and no predictability to the output.
If I wanted to spend my time communicating in a superficial, neurotypical style my autistic ass certainly wouldn’t have gone into computering. LLMs are the final act of the finance bros and capitalists wrestling modern technology away from the technically literate proletariat who built it.
TinDrumwhat we thought we knew about autism and... whatnot
'For decades, researchers had been measuring the wrong thing. Conflating communication style differences with empathy deficits produced dramatically inflated effect sizes and an illusion of empathy impairment'
