You need open hardware and open software at that point and you won't be able to use government identification as they depend on closed source parts of the Android ecosystem. Also you need identification for side loading apps at some point.
Non of these laws stop you from opting out of surveillance, but altogether it gets so hard that at some point you get more suspicious and tracked if you do all this than if you don't do any of these.
It's because there's no real solution to the alignment problem.
Humanity is on aggregate optimizing for increasing collective intelligence and I don't see that stopping as the main goal when AI gets smarter than humanity, just hope that we all will have a nice human life.
If you want something real, look at Clean Code Horrible Performance youtube video if you haven't.
I also found Bob Martin entertaining, but after trying to follow his suggestions I just got into the trap that Casey Muratori shows: even if I don't care about the performance of the code at the start, the amount of abstractions Uncle Bob advises makes it just too easy to make the code extremely hard to optimize later.
,,The plaintiffs claimed the three companies reduced D-RAM supply under the pretext of transitioning to high-bandwidth memory (HBM). "The D-RAM oligopoly companies systematically coordinated the shift to HBM and the discontinuation of DDR3 and DDR4," they said. They added that Apple's recent sweeping product price increases were the trigger for the lawsuit.''
How can they do price fixing and discontinuing a product at the same time?
It just looks like some companies are angry that AI / VC industry is outpricing them.
What's interesting is that all big LLM providers figured out that the revenue comes from coding as it can be trained with RL rewards.
It means that most people will never understand how fast the landscape is moving: non-coding and non-homework use cases didn't change that much since last year.
From what I understand Amazon's lawyer was telling the CEO that it's better to report a vulnerability of a potential cyber weapon (jailbreak) to protect Amazon from liability.
And then US chamber of commerce protected itself from liability as well to take export control law seriously after Antropic's CEO categorized Mythos without the cyber query filter as potential cyber weapon.
The problem here is that there's no real technical way to protect against the queries, just making them more expensive to create, as the models are getting smarter.
Also as the main jailbreak ,,technique'' is splitting the task into subtasks, and the main moat of Mythos is that it can solve more complex tasks, I also wouldn't categorize this jailbreak as serious.
It makes sense, he stopped contributing to Tesla significantly long time ago (he redirected the NVIDIA GPUs that were supposed to go for Tesla self driving to X.ai).
It's not sabotaging it by using a worse model but by changing your prompt in your background, which means it silently destroys your code.
Also I asked questions about whether it's safe for me for example to work on just compilers or just inference kernel optimizations and it refused to answer me.
If I can't even ask what I can do safely without my code being destroyed, I just can't trust it not to sabotage my work ever.
Of course they are afraid of it, haven't you seen Dario being angry of Chinese companies paying for Claude access (tokens = test cases) and training their own model from those?
Non of these laws stop you from opting out of surveillance, but altogether it gets so hard that at some point you get more suspicious and tracked if you do all this than if you don't do any of these.