Sometimes the content written by AI is good, but it’s really hard to convince myself to just keep going when I detect it in the first 10 seconds.

The irony of reading an article that talks about AI slop that clearly seems to have been written by AI. Hey, I could be completely wrong, and it wasn't, but there are so many flags.

Do I care? Not really, but whoever wrote this is right. I guess we developed a pattern recognition for these things

- GPT-5 mini costs $0.25/$2 and will be discontinued in December.

- GPT-5.4 mini costs $0.75/$4.5 and is supposed to be the replacement.

- GPT-5.4 nano costs $0.2/$1.25 and, while it ranks better in benchmarks than GPT-5 mini, it's not even close when you test it in real scenarios.

So you're left being forced to go to GPT 5.4 mini if you use 5 mini today.

The same thing is happening here as their “Luna“ model will cost $1/$6.

Can't we just stay with the models we actually want? I don't need GPT 5.4 mini. GPT-5 does the job.

Maybe it’s the realization that it was never that cheap in the first place and they're forcing us to upgrade in a slow and painful way.

1. Frame each option with one key (1,2,3,4). User press 2, select the second option

2. Let the user change options if they want until they press Enter. Enter submits the answer.

3. Once submitted, another Enter brings the next one

The first unique characteristic is that it was built in Rust? Why does it matter from a user perspective? I was expecting the first point to be something that would convince me to check it out.

Unless the goal is to find people to collaborate on building the software. I got a bit confused.

Looking good regardless :)

edit: tldr; it does not seem in their best interests to be more efficient at this point

Anyway, great work :)

working with AI forced me to write better specs but the way I write today is very different. I typically open Codex and have Linear MCP connected where my chat with the AI will end up writing the issue. Its a lot of back-end-forth where I tell what I want, the AI does all the code scanning, write something, I correct something, etc

The value for me is exactly that I tell what I want, the AI verify in the actual code if that's the path that makes more sense or not. In the end I have a pretty detailed spec that I'm much more confident is the correct path.

I find the spec easier to review than a huge PR so typically when executing is much faster and aligned with what I want.

The grill-me skill from Matt Pocock is great for this (https://github.com/mattpocock/skills/blob/main/skills/produc...)

Comments URL: https://news.ycombinator.com/item?id=48210117

Points: 8

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