How does this work in practice? Someone would have to prove that it’s AI generated, which isn’t straight forward.

Also, I’m not clear this protects the release of code centered a trade secret or under NDA.

So while the court ruled it’s public domain. Could it still be prevented from release? Like a Microsoft employee couldn’t just dump sections of the AI code to the internet I imagine.

https://www.upcounsel.com/patents-trademarks-copyrights-and-trade-secrets

Competitive advantage: Trade secrets can cover information that would not qualify for patents or copyright but still has economic value.

I would imagine dumping Microsoft code to the internet would be sued under NDA

I asked chatgpt to put my CPU into heat consuming mode and it then suggested I mine BTC to equal out the thermodynamics. I’m still trying to figure out where the BTC is, but it’s nice to go green

I agree. I think hobbies are a good middle ground and neutral.

It would be nice if men wrote more books like that. The only men who would listen to a women tell them how to change are probably not the target audience.

On the flip side, I think men could use more men’s groups because male loneliness is problematic. Women don’t want to feel responsible for men’s loneliness (rightly so), so the natural solution is men need to do better at making friends with men. The problem is doing it in a healthy way

That said, I would suggest the solution is hobby groups without gender exclusion. Like carpentry, basketball, knitting, dance, ballet. Hobbies seem to self select.

Most of my hobbies are female dominated in my conservative area.

And we could prosecute them as foreign agents in addition to pedos. Complying with komprobant isn’t an excuse

I had a co-worker who wrapped every function generated by AI with try/except (discarding the error).

The unit tests passed flawlessly!!! They also didn’t test anything at all

I was livid. My boss was an idiot and I tried to explain the issue, but I got in trouble because I took too long to fix it. 1000 of lines of mangled shit.

I just found a new job (got more pay too)

They really should GPL it all. The US will steal it and create AWS services

Okay. Just to note that if you put graphene on a pixel, you aren’t giving them more data. Just because it’s a Google pixel doesn’t mean they’d have you data in GrapheneOS

What do you mean by give Google more? The only way you give Google more is buying a pixel, but you can buy second hand. I only buy them second hand.

There are now more alternatives from EU companies if second hand still bothers you, but when I started with GrapheneOS, there weren’t many other choices.

If you mean give data to Google, graphene definitely doesn’t do that

I loved python when I was a junior dev. Now I hate it (except for things like computational math). I have to add debug statements to figure out that someone snuck in the wrong type into the code.

They should honestly just wrapper the majority of the code base in rust unsafes and then slowly very slowly migrate sections of the code to rust. This is the right way to do it imo

Will they do that? Nope.

Nobody is truly reviewing that stuff. Would you if you were in that job? Just blame mistakes on AI

Are there any instances of this? It looks promising

Graphene OS for the past year or two. Zero problems and only benefits.

You will need to get used to fiddling with security settings on some apps. For example, banking apps need reduced (meaning standard Android) levels of security. I consider this a feature so I can know which apps to find alternatives for

Is there an alternative way to contribute to them? I would happily send money directly to the artists, but I don’t know how

I find that it basically can’t do decent architecture. My last attempt to use it ended with it using casbin, but then rewriting it’s own authorization framework and trying to use both at the same time 😶.

I think there is a lot of power here, but it needs very heavy guidance and handholding to do it well. Otherwise it makes very stupid intern level decisions

Ideally they’d compare time to write + time to fix. My experience is that if you use test driven development, LLM isn’t too bad. No worse than an intern.

I think it comes down to who is using the LLM. I had a junior dev once “presumably” AI gen a ton of code (broken trash). Then to fix it, they wrapped each function in a try catch block that dropped the error. Unit tests were mocked out to the extent they didn’t test anything.

When I use an LLM, I have tests and hard constraints on the LLM. It isn’t good enough to do everything, but it can generate about 80% of a simple app