After the whole internet lost its mind about Apple CSAM scanning and being horribly off target, I'd recommend to ignore news reports and go to the sources when making an opinion.
The only issues I can see is the error rate for non-CSAM scanning and how the latest vote was conducted.
Although the scanning part, it is still law enforcement that has to review that information and determine if there is a case. Most of the those are teens sharing naked photos with other teens.
I rented a car that had this feature and instantly hated it. I forget the make, but if it detected you were not looking at the road for a period of time, it would slam on the brakes and release. A way to jolt you awake.
The problem was it routinely misclassified where I was looking, so I would get random brake slams which would panic me more.
I returned it after a day and asked for a new car.
Seems like something for people with more money than sense. If you could afford to drop money on this, odds on you can get a weekly maid who will do it for a fraction of the price.
Watching the videos, they have the cleanest kids in that house. The ability to move pillows 4 inches is just blowing my mind.
> Both machines will be stuck in the 30-50GB model range,
That is not true.
3090 is only 24GB.
It will absolutely outperform the M5 on models that will fit in that space, but M5 will outperform with larger models as the whole 128GB is GPU addressable.
With a dedicated GPU, the lag is in transferring data to the GPU. You don't have that lag in ARM.
But it really depends on what it is you want to do. An MLX optimised recent model will run fine and at decent speeds. Granite4.1 (a few months old) for example takes up 2GB of memory, insanely fast and results are good vs much bigger models like gpt-oss-120b (a year old). It even runs on an M1 mac with good speeds.
It's been a fact of life for as long as I can remember. If you using the companies resources, they are well within their rights to monitor what you are doing.
Just don't use the company stuff and you are fine.
> thers, like coding or more advanced agentic workflows can demand much more powerful models.
You can do coding and agentic fine. For coding I use qwen3.6:35b-mlx and agentic granite4.1:3b works fine.
These are the models I use.
- granite4.1:3b
- granite4.1:30b
- gpt-oss:20b
- gpt-oss:120b (less so now)
- mistral-small3.2
- qwen3.6:35b-mlx
There will always be use cases that don't sit on your laptop, but most of what can be done can be done locally, it just requires a good framework to sit on it.
Depends what you need the model to do. The recent granite4.1:3b just takes 2GB of memory and is fast. Results are pretty good and support tool calling. Barely a squeak out of the Mac laptop.
Even faster with the MLX builds.
Then when I need more heavy lifting I fire up a larger model.
IMHO the issue isn't the models. I've had OpenClaw give the same results as Claude using open models locally. Slower but does the job. Something that can do optimal model switching is what's needed.
Because its an extension of an existing bill.
After the whole internet lost its mind about Apple CSAM scanning and being horribly off target, I'd recommend to ignore news reports and go to the sources when making an opinion.
https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex%3A...
https://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=COM...
The only issues I can see is the error rate for non-CSAM scanning and how the latest vote was conducted.
Although the scanning part, it is still law enforcement that has to review that information and determine if there is a case. Most of the those are teens sharing naked photos with other teens.