QA / code review is like 80% of my time now! Like coding now is QA. That's it.

The ambiguity is the stories!

I was going to say the same thing -- we already solve all these use cases in our household now with an old iPad and there is nothing wrong with it.

The ability for a constituent to talk to their elected official about an issue important to them is lobbying. It is the foundation of democracy. It is not corruption.

Yes I like to think of humans with built-in accelerators for certain tasks -- our visual and spatial reasoning is off the charts presumably because it's a life or death skill!

We're sailors on the moon, we carry a harpoon!

>sailors

whalers*

But there ain't no whales, So we tell tall tales, And sing our whaling tune!

Oh man I'm introducing bit rot on a meme about bit rot!

Totally helpful and I believe accurate. I find the times where I’m actually most productive with coding agents are not super fun, instead it’s iterative manual qa and code review hell. But while that actually results in good, usable code it’s not addictive, quite the opposite it feels like work. Whereas starting from scratch vibe coding a whatever-ma-jigger sure feels like a blast until I actually start pushing at edge cases.

Admittedly these are out of order, but these are both sentences in this blog post:

> The thing we considered the most troubling was whether AIs could autonomously acquire resources by running businesses.

> Today Andon is releasing Pion, an agent designed to run any company fully autonomously.

I’m starting to understand the torment nexus mentions…

It’s the story of how open AI and Anthropic were founded: “AI is probably going to destroy humanity, so we must be the ones to develop it because we’ll do it safely”. Edit: Which makes their “someone hold us back!” calls even more ironic.

I think it's a legal issue.

If you don't develop killer AI then no one will legislate against it and someone else will create it and do evil.

If you create killer AI you can try to instigate legislation, but the legislators may not agree to help.

Necessity is the mother of invention, or you know, all of our laws and regulations.

On the bright side, once you have created killer AI you probably have a path to replacing the legislators.

True WebXR for the Apple ecosystem will never come. At least that’s what I’m assuming given their behavior so far

I've also found the OpenAI image models to lose fine detail on image edits compared to Nano Banana or Flux models which faithfully retain input source image geometry and details. I was hoping this might be different but it sounds similar to previous OpenAI image models where something is lost in translation during image editing.

I know the API (assuming you're using it) lets you set the output size of the edited images - I haven't done a huge amount of testing with > 1mp, so I'd be curious if this might mitigate some of that.

https://developers.openai.com/api/reference/python/resources...