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Everything aside from apps with SafetyNet dependencies. Banking apps come to mind.

Why? Do you think frontier AI will never generate enough profit to justify its costs? The market seems to move on vibes rather than logic. I can imagine one of those company failing and the other seizing the market.

I've always thought CSP as a robust design pattern where you have no shared state between components and they must communicate with each other using message passing. It also requires synchronous communication (rendezvous-style). If you follow those rules you can have a pretty robust system. Aside from these abstract rules, CSP has more formal research (algebra) but I'm not sure if there are any decent tools available.

TLA gives you a full toolbox and in theory can model whatever you can express. That's very different from a design pattern.

Why decades?

How does battery life compare to Sequoia? I heard there is a huge drop

Google is the new IBM. All the signs are there.

I thought supermarket loyalty cards were just a QR code of a simple serial number. Is it different where you are?

The story about that AMD ARM core is that they were making it for Amazon. Performance was not good enough so it was canned. Amazon then went on to make their own chips called Graviton.

> your average diabetic who has fairly good control over their blood sugars

I think it's huge for diabetics. It's a mental toll for them. They hate having to constantly prick themselves to take readings. It's awkward, inconvenient and you have to do it multiple times to be sure you got a good reading. And worse of all, it's possible to forget to take a reading when you need to.

Tahoe slows it down, but Seqouia is still strong.

Yep, even 600GB/s is barely usable and not fun.

> Requires macOS 26 Tahoe or later

Why? Tahoe hasn’t even reached its first birthday and plenty of us are still on Seqouia not wanting to put up with apple’s disaster release. There’s nothing a terminal needs from Tahoe specifically.

7. Do you want the most contributions?

I hate to admit it, but GitHub has a massive community. I’ve personally seen a project leave it and then contributions dropped significantly.

The larger 3.6 35B is actually a mixture of experts (MOE). This means a small proportion of those B's are actually active. It's fast and suitable for agentic tasks but nowhere near good as the dense 27B model, which has all of its parameters loaded.