Nothing to do with AI here, it's about immigration.

I feel confident in saying that I am better at computers than 99.99% of the general population and I have no clue what “SS” or blue USB ports are supposed to indicate.

In the US??

> I am also not sure who Stripe Atlas for.

This was such a weird mention to see in the article. Stripe Atlas is a service that helps new businesses incorporate and onboard onto Stripe/partner services with some startup credits. It's been around forever, has nothing to do with AI, and is generally a very well-respected service.

Claude Code is a tool that uses natural language ai systems. It itself is not a natural language ai system.

The idea that AI can write code like a seasoned software developer but not being able to use its own tooling that can be learned through 11 chapters tutorial doesn't make any sense.

Ok? I'm just explaining what claude code is, not pontificating about the capabilities of AI.

If they’re reaching the same results across a variety of the most popular public models, it doesn’t seem like that big a deal to know if it was Opus 4 or Opus 4.5

Reproducibility is (supposed to be) a cornerstone of science. Model versions are absolutely critical to understand what was actually tested and how to reproduce it.

The models get deprecated after 1-2 years, so reproducibility is pretty hard anyway (but as others pointed out the paper does list the model versions)

Yea this feels like saying “if you give them good enough specs they’ll produce the code you want” which reduces to…writing the code yourself. Just with more steps.

GH is ripe for a disruptor right now.

I think they're just saying that data extraction tasks are easy to evaluate because for a given input text/file you can specify the exact structured output you expect from it.

Yea, for the vast, vast majority of workloads just forking separate node process ends up being better than mucking with threads.