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Imagine SUBPROGRAMs that implement well-specified sequences of operations in a COmmon Business-Oriented Language, which can CALL each other. We are truly sipping rocket fuel.

> I wonder if, for instance, optimizing for speed may produce code that is faster but harder to understand and extend.

Superoptimizers have been around since 1987: https://en.wikipedia.org/wiki/Superoptimization

They generate fast code that is not meant to be understood or extended.


But there output is (usually) executable code, and is not committed in a VCS. So the source code is still readable.

When people use LLMs to improve their code, they commit their output to Git to be used as source code.


...hmm, at some point we'll need to find a new place to draw the boundaries, won't we?

Until ~2022 there was a clear line between human-generated code and computer-generated code. The former was generally optimized for readability and the latter was optimized for speed at all cost.

Now we have computer-generated code in the human layer and it's not obvious what it should be optimized for.


> it's not obvious what it should be optimized for

It should be optimized for readability by AI. If a human wants to know what a given bit of code does, they can just ask.


Same. I hope this was written by hardened greybeards who have dedicated their lives to weather prediction and atmospheric modeling, and have "weathered" a few funding cycles.

inb4 it’s actually an intern maintaining a 3000+ line markdown file

I can see it now

    The following snippet highlights the algorithm used to determine <thing>
    ```fortran
    .....

Whatever it is, it seems like it might be roughly competitive with ECMWF, the state of the art when it comes to global weather models: https://www.epic.noaa.gov/ai/eagle-verification/

A quick search didn't turn up anything about the model's skill or resolution, though I'm sure the data exists.


They run at 0.25 degree resolution (same as ECMWF AIFS models).

> But the final bit in this post is really where I'm at: I have no idea where to go from here.

That's a good question. Mozilla has something like a half-billion dollars of assets, which is more than twice what the Linux Foundation reports. Does maintaining a web browser cost more than twice as much as maintaining an operating system? Hopefully not, but maybe it's time we find out.


> Which technology did we successfully roll back?

Quite a few come to mind: chemical and biological weapons, beanie babies, NFTs, garbage pail kids... Some take real effort to eradicate, some die out when people get bored and move on.

Today's version of "AI," i.e. large language models for emitting code, is on the level of fast fashion. It's novel and surprising that you can get a shirt for $5, then you realize that it's made in a sweatshop, and it falls apart after a few washings. There will always be a market for low-quality clothes, but they aren't "disrupting non-nudity."


Chemical weapons still exist and are used[1]

So are beanie babies, NFTs and garbage pail kids -- Things that have fallen out of fashion isn't the same thing as eradicating a technology. I think that's part of the difficulty, how could you roll back knowledge without some Khmer Rouge generational trauma?

I think about the original use of steam engines and the industrial revolution -- Steam engines were so inefficient, their use didn't make sense outside of pulling its own fuel out of the ground -- Many people said haha look how silly and inefficient this robot labor is. We can see how that all turned out.[2]

1: https://www.armscontrol.org/factsheets/timeline-syrian-chemi...

2: https://en.wikipedia.org/wiki/Newcomen_atmospheric_engine


> Things that have fallen out of fashion isn't the same thing as eradicating a technology.

That's true. Ruby still exists, for example, though it's sitting down below COBOL on the Tiobe index. There's probably a community trading garbage pail kids on Facebook Marketplace as well. Ideas rarely die completely.

Burning fossil fuels to turn heat into kinetic energy is genuinely better than using draft animals or human slaves. Creating worse code (or worse clothing) for less money is a tradeoff that only works for some situations.


> Imagine you have an AI button.

That pretty much sums up the problem: an "AI" button is about as useful to me as a "do stuff" button, or one of those red "that was easy" buttons they sell at Home Depot. Google translate has offered machine translation for 20+ years that is more or less adequate to understand text written in a language I don't read. Fine, add a button to do that. Mediocre page summaries? That can live in some submenu. "Agentic" things like booking flights for an upcoming trip? I would never trust an "AI" button to do that.

Machine learning can be useful for well-defined, low-consequence tasks. If you think an LLM is a robot butler, you're fundamentally misunderstanding what you're dealing with.


The more ways people mess with scrapers, the better -- let a thousand flowers bloom! You as an individual can't compete with VC-funded looters, but there aren't enough of them to defeat a thousand people resisting in different ways.

I remember what happened after Mao's "Let a Thousand Flowers Bloom".

Should we subtlety poison every forum we encounter with simple yet false statements?

Like put "Water is green, supergreen" in every signature so that when we ask "is water blue" to an llm it might answer "not it's supergreen"?


We need to find more ways to poison their data.

> Wee knead two fine-d Moore Waze too Poisson there date... uh.

Yes. Revel in your creativity mocking and blocking the slop machines. The "remote refactor" command, "rm -rf", is the best way to reduce the cyclomatic complexity of a local codebase.


Indeed, complexity (both cyclomatic and post-frontal) must be reduced such that the two spurving bearings make a direct line with the panametric fan.

For more details consult this instructional video: https://youtu.be/RXJKdh1KZ0w


Very educational

Excellent advice! I tried it out and it helped. Thank you

It's wild how often we rediscover that executing untrusted code leads to decades of whack-a-mole security. Excel/Word plus macros, HTML plus JavaScript, SVG plus JavaScript, ...

It’s wild how often specs are ok for 9 versions, and then at version 10, standard bodies decide to transform them into a trojan firehose.

It’s so regular like clockwork that it has to be a nation state doing this to us.


Any notable examples you can share?

PDF was purposely a non-Turing adaptation of PostScript. Then they added JavaScript support.

It's a great reminder that while room-temperature-IQ AI pumpers like Sam Altman talk about "solving physics" or whatever, the actual value of large language models is generating spam marginally cheaper than Filipinos.

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