If the outcome or outputs / test cases are known, AI is great at language translations.

I am not a mechanical engineer, so even prompting well with ME lingo probably will take some effort.

US Gov could make US companies comply, like have Huggingface take down models out of compliance.

But most likely, a foreign-to-US Huggingface replacement would be made and everyone would go there instead. Lose-lose for US.

Back in the days when it was an MS-DOS world…

Also, eerily accurate timeline!

How a person perceives facts categorizes them into a political bias bucket.

> Group projects were also a common complaint. You were randomly assigned a group, but it was often unclear if the participants were even doing the course - many people were in completely ghost groups.

I see that nothing has changed in 20 years. Even when attended the courses physically in person, group project usually had 1 or 2 people doing all the work and the rest nowhere to be found, or just hanging out. :p

The syntax looks like rust, but esp w/the memory management model (reference counting), it’s going to have more overhead than rust when it’s running, more like Swift or at worse, Python.

Or you find out you can input as the animation happens, but when the animation finishes, you’ve lost where your input ended up and don’t know if you can backspace/delete and retype.

(Yes, I’m expressing multiple issues here w/ui & animation & input)

Feels like AI slop.

Doesn’t address the concurrent update problem except for “optimistic”. At least provide some data why that’s ok.

Weights.

    One workaround is to escape the string, like this:
    
    countries:
      - DE
      - FR
      - "NO"
      - PL
      - RO

2. Golang syntax and style is very verbose yet simple. There’s not as many options nor programming language to domain mapping needed as in Rust. Leads to needing less sophisticated LLM to spit out Golang than Rust successfully and efficiently.