

My four year old low-end test device running Android had its assistant switched out from Google Assistant to Gemini. I was very surprised since I’d assumed that the vendor had stopped supporting it since it was so cheap, but it updated anyway.
My four year old low-end test device running Android had its assistant switched out from Google Assistant to Gemini. I was very surprised since I’d assumed that the vendor had stopped supporting it since it was so cheap, but it updated anyway.
Why are you being downvoted for this? In stock devices the user has no way to even start looking at what is being run. All you can do is trust the manufacturer.
LLMs are not Large Medical Expert Systems. They are Large Language Models, and are evaluated on how convincing their output is, instead of how accurate or useful it is.
Coca-cola definitely advertises, famously Santa Claus, but did you also know they do more subversive things like trying to shift the blame for obesity onto the victims?
If you’re writing a novel simulation for a non-trivial system, it might be best to learn to code so you can identify any issues in the simulation later. It’s likely that LLMs do not have the information required to generate good code for this context.
These need to be washable, otherwise every time I accidentally wear them into the shower I’m going to have to buy another pair.
I prefer the term Digital Restrictions Management.
Is anyone surprised by this? Their entire business model is based on tracking people so of course they’ll want to de-anonymize users.
If this really is lossless, it is incredible. I’m skeptical until I see it in action though.
How does heat mitigate the dendrites? Also doesn’t extreme heat damage the batteries? They barely hold up under high temperatures as-is.
They aren’t just a black box, tinkering with them actually has negative consequences. On Android getting root access results in Safetynet attestation failing and on iOS you can’t even get root at all unless you are happy to run some bins from questionable sources. Things are very different for youths. As someone else stated to tinker in the way you mentioned means getting an Arduino or some kind of tinker-friendly SBC.
I think it’s true that owners of Apple products are more affluent so if I were to put on my evil capitalist hat and could collect this point of data, I would certainly at least test differential pricing just to see if it works.
Spreading propaganda for an authoritarian government is a serious issue.
The consumer does not appear to mind, unfortunately.
Why not both!
Yes, an IoT device would certainly be a huge headache if it was on a proprietary protocol, I’d avoid that if at all possible. Thankfully, they haven’t made something absolutely indispensable yet.
Code reviews take up a lot of time, and if I know a lot of code in a review is AI generated I feel like I’m obliged to go through it with greater rigour, making it take up more time. LLM code is unaware of fundamental things such as quirks due to tech debt and existing conventions. It’s not great.