What the article's author seems to be hinting at is that the problem was described incorrectly from day one, and the LLM picked the wrong schema from day one. Because the person making it is not technically literate enough to describe the problem in a way an LLM interpreted correctly.

The hidden BA work a developer usually does was missing from the process.

The earn bucket loads of money, they should be planning for exactly that. And testing for it via load testing every day.

Perhaps you've forgotten the days of GitHub presenting themselves of software engineering thought leaders.

In Europe C# fills the role of Java.

You're just in an American echo chamber.

Now the number of senior C# engineers in Europe who couldn't fix a broken deploy on IIS or SSL cert problem on a windows server? That is rather high in the windows field too.

https://www.reddit.com/r/ClaudeCode/ 1m Weekly visitors, 19K Weekly contributions

https://www.reddit.com/r/codex/ 372K Weekly visitors, 11K Weekly contributions

Looks like it's 2nd place, but still popular.

The mathematical symbol is just a representation of a concept, it's not infinity itself, you've got it backwards.

You can't review it.

Are you relying on your colleagues to do that, or is this riddled with bugs? Or is it code you're producing for personal use only so it's not worth mentioning as it's not sped your work up, it's just let you write a little play program.

To save others a click, though the article is worth reading.

He also mentions no subagents by default in pi as well.

When it picks out a rare bit of code, it will be simply copying that code, illegally, and presenting it without attribution or any licenses which is in fact breaking the law but AI companies are too important for the law to apply to them.

There's been instances where models have spat out comments in code that mention original authors, etc., effectively outing itself as a copyright thief.

There's nothing anyone can do about it, but the suspicion is that the big companies have taken everyone's code on GitHub, without consent, and trained on it.

And now are spitting out big chunks of copyrighted code and presented it as somehow transformed even though all they've actually done is change a few variable names.

It is copyright theft, but because programmers are little people, not Disney, we don't have any recourse.

I wonder if it's a generational thing, where now every essay must focus on one idea instead of taking a meandering path of curiosity to the author's final point.

So they're selling the transformation, or the model. Or the ability to make a model. And their brand and their harness.

And it seems like the model is definitely not worth 380 billion. Models depreciate incredibly fast. There are lots of models and the other models aren't that far behind.

And it seems like the harness is not worth much as there's already open source alternatives that people claim are better.

And all these companies are paying lots of money for these AI training experts.

But I suspect that any regular Hacker News reader of 10 years dev experience could become a training expert in months if allowed to play with a load of compute and a lot of data for a bit.

Just like any of us could have become a data scientist, this stuff is not particularly hard. Random horny dudes on the internet are putting out loras and quantized models in days against the open source image models.

So what's worth 380 billion exactly? The brand?

These valuations just look really off. Not by one order of magnitude, but more like by 4 orders of magnitude. Like 380 million might be a reasonable valuation, but not billion.

What I also don't get is that it's pretty obvious to me that the Europeans should all be spinning up their own, not necessarily massive, data centers and throwing a few billion at some guys in Cambridge or Stockholm or London or Berlin to make their own AI models.

Only the French have done it.

But instead the rest seem to be trying to court Anthropic or OpenAI to build data centers. Which is just stupid politics given what's happening in the world right now.

Unfortunately the parent is suffering from a complete lack of self confidence, and even telling them to go to a therapist won't help as they never will.

Seen it IRL, even if they book an appointment, they'll convince themselves there's some good reason not to go. The two people I've met with it both somehow convinced themselves that therapy didn't work without ever trying it. To the point of lecturing me, who has been to therapy and found it helped immensely, at how useless it is.

It really seems to be a nefarious affliction.

Reading that list above is like watching a car crash in slow motion. You desperately want to help them, they could have so much of a better life if they just believed in themselves even a little bit, but they won't listen to you.

One of my friends I once asked 'Do you want me to push you any morez or is it better if we just talk about other things?'. They dejectedly admitted that they found being pushed depressing and preferred if we didn't talk about it any more.

One of the funniest, insightful people I know, with a great talent, is working a warehouse job and we meet and talk and have a great time but we now talk about anything but his failure to launch.

Ditto for a CERN physicist that now is a part-time tutor for high schoolers living at home with his parents.

Rain dance go!

It's the difference between using a SQL library and some person on your team writing their own SQL library and everyone having to use it. There's a vast gulf between the two, professionally speaking.

People dissing axios probably suffer from other NIH problems too.

Fetch is one of those things I keep trying to use, but then sorely regret doing so because it's a bit rubbish.

You're probably reinventing axios functionality, badly, in your code.

It's especially useful when you want consistent behaviour across a large codebase, say you want to detect 401s from your API and redirect to a login page. But you don't want to write that on every page.

Now you can do monkey patching shenanigans, or make your own version of fetch like myCompanyFetch and enforce everyone uses it in your linter, or some other rubbish solution.

Or you can just use axios and an interceptor. Clean, elegant.

And every project gets to a size where you need that functionality, or it was a toy and who cares what you use.

We can all see the vast gulf between paid + open AI in image and video, it's really visible. Compare Grok to wan or LTX or whatever and the difference is vast. There is no debate that those sort of models are 3 or 4 generations behind, because you can't argue with your eyes.

But DIYers like you claim that text LLMs are up to scratch with the frontier models?

Again, I simply don't believe you. I can't be bothered to download like however many GB it is to find out, because the result is going to be completely underwhelming and going back to 2023.

And worse, when these 'open' models do start getting good, what makes you think these companies will carry on open sourcing their models?

At the moment they're trying to stay relevant, get investment. When these models do start getting good, they won't give away the weights, they'll sell them.

They're not actually open.

And then in a year or two your 'open' model will be horrifically out-of-date with completely out of date knowledge, because you can't add to the knowledge of the model, it's stuck at whatever date the data it was trained on finished.

So in a year or two, those models will be worthless. That's why Ali, Meta, etc. are giving them away.

Often better than many developers I've worked with come up with.

That means they've got zero people who know what they're doing.