Google doesn’t give a shit about what you want. It only understands two things: credible legal threats and not giving them your money.

Sure, the performance so far is nothing to write home about. Servers should do a bit better, but I haven’t looked in many years.

I don’t buy notebooks. Only used older Thinkpads, particularly for coreboot/libreboot support.

For Linux, there is not much difference between CPU architectures.

It’s carbon monoxide that’s getting produced by combustion in an anoxic environment.

Here’s a use case: you load an LLM instance with a large amount of highly specific factual data over the course of several weeks (ingestion of a large number of documents, daily KT sessions, call with screen sharing transcription, docs artifact generation), and use that LLM to generate answers to people’s requests under high time pressure (urgent project deadline) which is prohibitive to even type the message, nevermind to comb though the data which you’d have to cram in your head, then never use again. Both sides are aware it involves AI. I have used this process against a control group (similar tasks, no AI use) and the result was clearly superior.

If I can’t have hardware that supports open source Android forks, then it means that I won’t buy it. I can work around with dumbphones, MiFi routers with tethered Linux or BSD portables. I will not use a proprietary system outside of work, full stop.

Lineage OS and Graphene OS.