A quantum sweatshop.

There's a very long history of extremely effective labor saving tools in software.

Writing in C rather than Assembly, especially for more than 1 platform.

Standard libraries. Unix itself. More recently, developing games in Unity or Unreal instead of rolling your own engine.

And what happened when any of these tools come on the scene is that there is a mad gold rush to develop products that weren't feasible before. Not layoffs, not "we don't need to hire junior developers any more".

Rank and file vibe coders seem to perceive Claude Code (for some reason, mostly just Claude Code) as something akin to the advantage of using C rather than Assembly. They are legit excited to code new things they couldn't code before.

Boiling the rivers to give them an occasional morale boost with "You are absolutely right!" is completely fucked up and I dread the day I'll have to deal with AI-contaminated codebases, but apart from that, they have something positive going for them, at least in this brief moment. They seem to be sincerely enthusiastic. I almost don't want to shit on their parade.

The AI enthusiast bigwigs on the other hand, are firing people, closing projects, talking about not hiring juniors any more, and got the media to report on it as AI layoffs. They just gleefully go on about how being 30% more productive means they can fire a bunch of people.

The standard answer is that they hate having employees. But they always hated having employees. And there were always labor saving technologies.

So I have a thesis here, or a synthesis perhaps.

The bigwigs who tout AI (while acknowledging that it needs humans for now) don't see AI as ultimately useful, in the way in which C compiler was useful. Even if its useful in some context, they still don't. They don't believe it can be useful. They see it as more powerfully useless. Each new version is meant to be a bit more like AM or (clearly AM-inspired, but more familiar) GLaDOS, that will get rid of all the employees once and for all.

Sounds like meta’s judge will have to invent a grand unified theory of fair use to excuse this.

I kept saying about various lawsuits that the important thing is discovery. Nobody knew all the idiotic shit these folks were doing, so nobody could sue them properly.

They train on sneer-problems now:

Here’s the “ferry‑shuttle” strategy, exactly analogous to the classic two‑ferryman/many‑boats puzzle, but with planes and pilots

And lo and behold, singularity - it can solve variants that no human can solve:

https://chatgpt.com/share/68813f81-1e6c-8004-ab95-5bafc531a969

Two ferrymen and three boats are on the left bank of a river. Each boat holds exactly one man. How can they get both men and all three boats to the right bank?

I think this summarizes in one conversation what is so fucking irritating about this thing: I am supposed to believe that it wrote that code.

No siree, no RAG, no trickery with training a model to transform the code while maintaining identical expression graph, it just goes from word-salading all over the place on a natural language task, to outputting 100 lines of coherent code.

Although that does suggest a new dunk on computer touchers, of the AI enthusiast kind, you can point at that and say that coding clearly does not require any logical reasoning.

(Also, as usual with AI it is not always that good. sometimes it fucks up the code, too).

I love to show that kind of shit to AI boosters. (In case you're wondering, the numbers were chosen randomly and the answer is incorrect).

They go waaa waaa its not a calculator, and then I can point out that it got the leading 6 digits and the last digit correct, which is a lot better than it did on the "softer" parts of the test.

I couldn't stop fucking laughing. I'm wheezing. It's unhealthy.

They have this thing acting like that for the whole day... and then more than a day later claim it was hacked.

Tried my duck river crossing thing a few times recently, it usually solves it now, albeit with a bias to make unnecessary trips half of the time.

Of course, anything new fails:

There's 2 people and 1 boat on the left side of the river, and 3 boats on the right side of the river. Each boat can accommodate up to 6 people. How do they get all the boats to the left side of the river?

Did they seriously change something just to deal with my duck puzzle? How odd.

It's Google so it is not out of the question that they might do some analysis on the share links and referring pages, or even use their search engine to find discussions of a problem they're asked. I need to test that theory and simultaneously feed some garbage to their plagiarism machine...

Sample of the new botshit:

L->R: 2P take B_L. L{}, R{2P, 4B}. R->L: P1 takes B_R1. L{P1, B_R1}, R{P2, 3B}. R->L: P2 takes B_R2. L{2P, B_R1, B_R2}, R{2B}. L->R: P1 takes B_R1 back. L{P2, B_R2}, R{P1, 3B}. R->L: P1 takes B_R3. L{P1, P2, B_R2, B_R3}, R{2B}. L->R: P2 takes B_R2 back. L{P1, B_R3}, R{P2, 3B}.

And again and again, like a buggy attempt at brute forcing the problem.

So I signed up for a free month of their crap because I wanted to test if it solves novel variants of the river crossing puzzle.

Like this one:

You have a duck, a carrot, and a potato. You want to transport them across the river using a boat that can take yourself and up to 2 other items. If the duck is left unsupervised, it will run away.

Unsurprisingly, it does not:

https://g.co/gemini/share/a79dc80c5c6c

https://g.co/gemini/share/59b024d0908b

The only 2 new things seem to be that old variants are no longer novel, and that it is no longer limited to producing incorrect solutions - now it can also incorrectly claim that the solution is impossible.

I think chain of thought / reasoning is a fundamentally dishonest technology. At the end of the day, just like older LLMs it requires that someone solved a similar problem (either online or perhaps in a problem solution pair they generated if they do that to augment the training data).

But it outputs quasi reasoning to pretend that it is actually solving the problem live.