For telephony, it sometimes takes days when roaming is involved.

You have to imagine TB/sec of data, if not more, coming from thousand of potential sources, and queuing for aggregation to the proper company account, all having to be auditable. This is not a small engineering feat and it can't be real-time.

With that said, telcos usually include in their business model around 2-3% of bad debt (i.e. revenue that won't get paid), which accounts for frauds like this one. Given that the customer seems in good faith and has taken measures upon being notified, Google should manage this bill shock a bit more elegantly.

Moreover, the fact that this happened immediately after this key opened the AI gates means that pirates permanently scan for the permissions of all the keys they could gathers. Google could and should detect that and act upon it.

The fallacy comes from the fact that few people know how to dimension an infrastructure. When you want electricity 24x7, you have to engineer the infra for peak demand. In Europe where I live, it is during winter around 6pm. It's night, and many times we have high pressure with no wind (inland).

Since hydro is reserved to particular land topologies, most countries have coal and gas ready to kick-in. France chose nuclear, which has proved to be a clear winner. Meanwhile Germany spent €500B (read it twice: €500B) and has got one of the most carbonated electricity generation -- at a high cost.

Writing such an article without mentioning nuclear power is a sign of dishonesty.

Wind and solar can't live alone, since they only operate when nature wants it. Perfect match for hydro, but we don't all live in the Hymalaya. Most (e.g. Germany) burn gas and coal to supplement.

Nuclear is the only tech suited for decarbonation, and once you have it, you don't need solar and power because 95% of the cost is in the construction. Since you'll build it to sustain peak demand, wind or solar are just extra costs.

They sure got lucky that unified memory is well-suited for running AI, but they just focused on having cost- and energy-efficient computing power. They've been having glasses in sight for the last 10 years (when was Magic Leap's first product?) and these chips have been developed with that in mind. But not only the chips: nothing was forcing Apple to spend the extra money for blazing fast SSD -- but they did.

So yes, Apple is a hardware company. All the services it sells run on their hardware. They've just designed their hardware to support their users' workflows, ignoring distractions.

With that said, LLM makes the GPU + memory bandwidth fun again. NVidia can't do it alone, Intel can't do it alone, but Apple positioned itself for it. It reminds me how everyone was surprised when then introduced 64-bit ARM for everyone: very few people understood what they were doing.

Tbh there are NVidia GPUs that beat Apple perf 2x or 3x, but these are desktop or server chips consuming 10x the power. Now all Apple needs to do is keep delivering performance out of Apple Silicon at good prices and best energy efficiency. Local LLM make sense when you need it immediately, anywhere, privately -- hence you need energy efficiency.