Like that is Carr's FCC in a nutshell - he wants to control speech by controlling the airwaves. That is a raw fact in his behavior. But when the news stations say the thing they want them to say, what happens next other than slightly extending the definitions of public good to the internet and then restricting speech?

$2000 for the very cheapest first-gen Core ultra CPU is nuts. You can buy a used, faster XPS 15 OLED 4K for literally $1000 less.

Like, Dell sells refurbished the Precision 5560 with the 11850H, 4K OLED, same ram and storage amounts, and a bonus Nvidia dedicated GPU for $560.

Did I mention that the ram isn't soldered?

"Why buy a watch, it just shows the time on my phone" "Why buy a car, I can just use uber" "Why buy headphones? My phone has speakers."

The context of where something is changes the idea of what it is. Just become something tells the time, for example, doesn't mean it is the same thing as a watch.

They embraced the the pebble community with a copy of the App Store, extended it with their own weather apis and the like, and then now are trying to extinguish any ability for Core to implement their own solution without paying them more.

You cannot preview or process lossless compressed Fuji RAWs on iOS natively but the uncompressed files are equal to Apple's own RAWs in support. On the field, it is sadly worth every byte to be able to grab a file directly off the camera and tweak it or send it to an editor. :/

I think I probably could have worded it more as "I rarely have questions worth knowing the answer to", where the cost of knowing answers is tied to the following rabbit holes and delays/forgotten tasks.

It's kinda like what I realized with the meta Ray-Bans: I can have these things on my face, they can tell me the answer to virtually any question in 10 seconds or less.

But I, as a human, rarely have questions to ask. When you walk in to your local grocery store - you generally know what you want and where to find it. A ton of companies are just gluing LLM text boxes into apps and then scratching their heads when people don't use them.

Why?

Because the customer wasn't the user - it was their boss and shareholders. It was all done to make someone else think 'woah, they are following the trend!'.

The core issue with generative AI is that it all works best when focused in a narrow sense. There is like one or two really clever uses I've seen - disappointingly, one of them was Jira. The internal jargon dictionary tool was legitimately impressive. Will it make any more money? Probably not.