Just have your agent use an existing design system. They provide coherence and many styles to choose from (and customization if you really need that for your personal use). I wouldn't expect agents to invent a coherent component library from scratch for every project. It's a solved problem. I'd personally just use something very popular like MUI and be done.
I don't think that needs to be true either anymore. Exhaustive specifications and comprehensive test suites are easily created now too. That's why I think software engineering will not go away, it will just change drastically.
And what would the goal of that be? I thought the goal of education was... education. The grading is not goal in itself. Will this really motivate kids to do better?
Sounds like a great opportunity for kids in high school to learn how to feed back the AI detection results into the model and have this process be automated. Next level would be fine tuning the model via reinforcement learning and sharing it with your friends via Hugging Face.
Dependencies. There are billions of lines of C++ out there that have been optimized and production hardened over decades that you might want to reuse. Rust lang interoperability with anything but C sucks in practice.
It's an interesting point, but I doubt it's the lions share of egress that's going to other data centers vs to customers. Fan out is where it gets expensive.
I'm confused by that website using $/mo as the unit to describe the cost of 1TB egress. How does the time component play into this? I would have expected the cost to be described in $/TB.
There's a tradeoff. Engineering time is expensive. Machine time can be expensive too. We need to optimize these costs by making most code that's not performance relevant easy to read and then optimize performance critical code paths while hiding optimization complexity behind abstractions. Either extreme is not helpful as a blanket method.
It's a little disingenuous to expect regular security updates and not be willing to fund ongoing development. If you don't need regular security updates you need to get back to 2000s, your Delorian is stuck in the 1900s.
What's the business value of publishing this research in the first place vs keeping it private? Following this train of thought will lead you to the answer to your implied question.
Apart from that - they publish the paper and anybody can reimplement and train the same model. It's not trivial but it's also completely feasible to do for lots of hobbyists in the field in a matter of a few days. Google doesn't need to publish a free use trained model themselves and associate that with their brand.
That being said, I agree with you, the "ethics" of imposing trivially bypassable restrictions on these models is silly. Ethics should be applied to what people use these models for.