It took a long time until we got real digital money, Bitcoin.

But all these new protocols want to do stuff at the expense of trustlesssness.

Bitcoin isn't 'real digital money'. It's a speculative asset for gambling with. That's all it is, and all it ever was.

It was also briefly useful for buying drugs on the Internet.

It also enabled the existence of ransomware. Can't go big fish hunting if there is no viable way to pay the attacker.

All Bitcoin/crypto "currency" is harm with near-zero upside.

Exactly, our gen's gold rush.

We are really reaching a point where the internet is becoming so unbearable. People that don't write their comments often want to farm engagment or just wanna sound smart. Either way, the thirst is disgusting to me.

Good autocomplete for those of us who still write code.

Me too, I have the bad feeling autocomplete will be sunsetted sooner or later, it clearly isn't the path they're getting into. Also it started to get worse lately, it tries too hard to predict, it wasn't like that some time ago, hopefully you know what I'm saying

So funny , I remember their talk about re-imagining their editor for the future of agents. They end up copying codex gui lol.

These AI companies are running out of ideas, and are desperate. I can't imagine investing in companies that are 3 month behind open source alternatives, and their target audience being the most experimental kind there is.

Looks pretty though.

I feel that too, every technology has its limits. I use AI daily. But I can’t see the “intelligence“. All I see is fine tuning and bigger datasets.

Yesterday I asked claude to fix the color issues of graph. It failed miserably. Opus 4.6 wasn’t able to figure out why the text was grey. It made something up, instead of realizing the problem was simple, oklch wrapped inside a hsl color. hsl(oklch(…)) I easily figured this out by just looking at the css and adding some logs to js.

This is not intelligence. This is a tool that’s smart. Not sentient. AGI won’t be achieved by scaling alone.

Tells you right away where this is coming from.

The critisism is valid. The problem is how you value this critism.

I agree they are stealing it but I also see the benefit of it for society and for myself.

Suckerberg downloaded terabytes of books for training, while people around me got sued to hell 20 years ago for downloading one mp3 file.

Do you mean something specific, because that sounds like a criticism but with some blanks that need to be filled in.

If you just mean they come across as annoyed by AI, that's true, but that's also way too wide of a category to infer basically anything else about them.

You still need to give it precise context and instructions when dealing with things that are not web apps or some other software cliche.

The reasoning is great in opus, unbeatable at the moment.

I understand what you mean, it becomes disappointing on more niche or specific work. It’s honestly a good thing to see these models are not really intelligent yet.

I still don't trust any AI enough to generate or edit code, except for some throwaway experiments, because every time I tried it's been inefficient or too verbose or just plain wrong.

I use it for reviewing existing code, specifically for a components-based framework for Godot/GDScript at [0]. You can view the AGENTS.md and see that it's a relatively simple enough project: Just for 2D games and fairly modular so the AI can look at each file/class individually and have to cross-reference maybe 1-3 dependencies/dependents at most at any time during a single pass.

I've been using Codex, and it's helped me catch a lot of bugs that would have taken a long time on my own to even notice at all. Most of my productivity and the commits from the past couple months are thanks to that.

Claude on the other hand, oh man… It just wastes my time. It's had way more gaffes than Codex, on the exact same code and prompts.

[0] https://github.com/InvadingOctopus/comedot

I had a similar experience and the answer appears to be learning how to use a specific model for a specific task using a specific harness (model X task X harness). Another, and somewhat related, lesson learned is understanding how to work with a given model and not against it.

I still get really mad at AI sometimes and I am not sure whether I could use AI for coding full time.

(Codex broke my git a few days ago.)

Most people no longer read code, ai results or even watches full length videos anymore.

AI provides the same experience that you get when watching short videos.

You watch and you forget.

These models are being trained by just increasing quantity. Nobody cares anymore. It’s a race for AGI before money runs out.

That would only produce a model that you can ask questions to.