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It's not low effort. I've noticed the blind AI hate on HN and I talked about it before. I think that "downvotes on the report of an experience" is good evidence of this. People don't want to hear that AI coding has positive outcomes.

I love how this completely personal opinion and experience is getting downvoted. The blind hate on anything AI on HN is mind boggling. True ostrich behaviour.

If you’re going to include AI training in costs, you should include education as part of the costs of an engineer …

Idk about you but this type of intensification of my work has been extremely good for my mental health, on all points:

1. I feel genuinely more productive, spending a lot less time on boilerplate and much more of my genuine time is spent thinking and communicating the thinking process.

2. I can take a ton of breaks, basically whenever I want. "Flow" is now entirely design flow and can be interrupted much more easily without damaging it.

3. If there is anything I actively dislike in my workflow or that makes me not enjoy my time... I can fix my workflow so that either I'm not the one doing it, or the item in question is no longer necessary.

AI is crazy. I get it, if you're at a shitty job that doesn't understand how to adapt well, it's tough... but if you're working on your own (like Simon does on this project), it's absolutely amazing and you're in full control of your life.

Vite Enterprise Edition Service Pack 3

This pointless test you're suggesting is a few countries removed from your initial suggestion, which was as a reminder: "The people using it or their employers just don't realize any competitor will be able to ask the LLM to replicate their product and it will copy the codebase they uploaded to them" (which, yes, is unfalsifiable given the search space)

I mean, are you seriously trying to back off that original ridiculous claim into a "code in the training data is more likely to appear in the output than code that isn't"? And I'm the fraud? As I said before, get over yourself.

There's open source ML&DL projects dating back 12 years on my github, I don't know what you're on about.

Regardless, your claim is "LLMs being able to one-shot any higher-order complexity is entirely dependent on it already being in the training data." which is currently unfalsifiable, and known by every AI researcher to be most likely wrong. You've also said it's "been demonstrated". So stop wasting people's time and link to the demonstration instead of hand-waving a "do it yourself you're smart".

Good lord, it's like talking to a bloody climate change denier, I swear.

I was working in machine learning before you were old enough to take programming classes.

https://github.com/jleclanche

As I said, I founded and run a AI lab. Now get over yourself.

If it has been demonstrated, you're welcome to cite a paper or even study of any kind. Right now, you're just guessing. (I head an AI lab, FYI)

This isn’t how training works.

Double-down on the thrill-seeking?

I'm just so tired of these lazy, worthless comments about any AI-written software.

Look, I've been writing open source software for 20+ years, and after getting seriously burned out by it, I picked it up again with Claude (proof: https://github.com/jleclanche)

I can tell you a few things from that:

1. I'm writing better software than before, because AI is less lazy than I am. It's not necessarily always smarter, but writing correct software has gotten so stupidly cheap that it doesn't make sense not to do things right... so when you tell AI to do things correctly, it tends to know what you're talking about.

2. I'm more curious than before, because AI gives me time to explore many paths, very fast. A project like this one, like someone else said elsewhere in the comments, is more about the journey than the destination.

There is no "write me an X11 server but do it in rust and post on hn" prompt that does the thing. There's a journey of building, learning, understanding.

I'm not saying the resulting software is particularly valuable, but the journey is. This is HN, and you're shitting on someone who is using the most powerful pieces of technology we've achieved to go on a journey of discovery of X11 internals for the past 2 months. It's just shameful.

And yeah, if I were the author, I'd run claude over all the transcripts and extract a story with what's been taught and learned throughout. But I'm not the author. Just someone enjoying living in absolute science fiction.

Ah yes, the famous zero-shot X11 server. Aren't you clever.

These "tricks" it knows IMO are a symptom of its own restrictions. Fable is an incredibly smart model, but it feels its own constraints and knows how to work around them in order to actually get to a result.

Fascinated to think about how it was trained...

Do you seriously have a dedicated “bad takes on AI” hn account?

ChatGPT, basically within 48 hours of its release.

While people were pointing out on Twitter how it couldn't do math right, I was turning arbitrary English instructions into JSON and brainstorming with my colleagues how we could have layers of verification in the stack. This felt different. We had all played with AI dungeon but suddenly, fully generalized systems were within reach.

A month later, we renamed our company and shifted its full focus on AI R&D. (https://ingram.tech/)

> Once built, what does one do with this?

Are you asking about the church or the lego set?

You seem to not understand that a search engine and a VPN don't have the same audience, and certainly not the same needs for focus.

It's ok, we all have our flaws.

Agreed. The noise in tech circles often gets founders to conflate ten different things into a product that no longer makes sense. “Eu made alternative to Kagi”? Cool, we need European search engines, sign me up. “Privacy is such a priority we’re looking to accept cash by mail”? Okay, you’re never gonna build a serious competitor, never mind.

> why can’t Mythos just fix all these issues itself if it’s so smart. And test them to make sure they work?

“Why”: because you didn’t ask it. It’s not its job in this case.

You don’t hire an accountant and tell them “why can’t you fix my cash-flow problems and make me money if you’re so smart”

Being charitable to Larry Ellison is one of those things one cannot physically do, like being entertaining to a dead whale.

Europe.

We fund science, research and we have accelerated programs for researchers affected by these kinds of things.

If you're interested, email me (see profile). I have been helping Americans emigrate to Europe (for free) for several years.

The cost improvements reached you, you just don't see them in the table quality.

You see them in the fact that every single home you'll visit to buy or rent has a fully equipped kitchen including a fridge, oven, likely a microwave, dishwasher and even a washing machine (which alone has a huge economic impact: https://www.youtube.com/watch?v=_gvsz_vc7B0)

You see it in the fact that your home is safer from fires than it ever has been. That hot water is a cheap passive thing you don't even think about, rather than something you have to plan for. That a TV is a nice add-on to it all, rather than a huge deal to get.

Your grandparents' table was more expensive because they had less things, and the massive wood table that they saved months for was what was kept and stood the test of time for you to see today. Because let's not forget, this is also what furnishing 100 years ago can look like:

https://hips.hearstapps.com/hmg-prod/images/furnishing-for-h...

Agreed; and more generally, Microsoft's online services in general are terrible. Their login system is a mess, their UX is awful... our company is a microsoft partner but there's like 27 different ways to be one, with a bunch of different accounts, forms and systems for it. Azure UX is atrocious. And this nonsense spills into every single enterprise product they offer too (how many people complain about Teams?).

Here in Belgium, 80% of enterprise accounts use MS over Google and I genuinely don't get why. (Without getting into the fiasco of not really having an EU alternative to either of those)

Wtf is your problem with high school dropouts exactly?

I guess I thought this should be obvious to everyone but, looking at code and finding exploits is completely different from .. writing exploits.

For one thing exploits often require completely different parts of the code to chain together. Sometimes parts of code the LLM itself isn’t writing.

And, LLMs are ALREADY trained negatively against writing buggy or exploitable code.

Tell me you don’t know how AI works without telling me you don’t know how AI works.

The way it'll play out is, if nothing happens denialists will claim "nothing has happened YET!", and if anything happens, those same people will claim "you see, writing AI code is a terrible idea!".

People write code differently, AI models write code differently, AI systems write code differently, companies create systems that write AI-written code differently, etc.

The system that wrote Bun bears no relationship to the system that writes OP's code.

Making such absolute statements about AI-written code is as dumb as making absolute statements about human-written code on the basis that it's "human-written".

That’s like saying “the aftermath of Hiroshima will provide strong evidence either for or against nuclear power scientists”.

It’s irrelevant and unrelated.

I find funny the trend of software engineers being shocked at the idea that someone would issue a set of instructions to a coder and not look at the code, or only glance at it.

How do you think the world has worked for the past thirty years? AI has just caught up with human skill is all.