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In the document there is a call for permissive AI training, noting the carveouts that exist in other countries. Summarized is a call for a "Freedom to Learn".

2/ This study appears to be instantly generalized to all screens and all content. The underlying tool used to measure the use of *tablets* is a survey+tool described in this referenced study ("CAFE"). Today's paper clearly takes a subset of this data, which is itself questionable.
1. This is scary/concerning/freaky if you work at Apple. My first thoughts go to them. What I can say is heads down, be patient. It’s an ultramarathon.



2/ Regardless of the era, predicting failure has always been easy, always been attention grabbing, and always kind of fun. Some say it's necessary simply to counter the marketing and power of the launch. Silly. A launch still has to battle the market. The market is really brutal.
2/ The an insurgent releases a new platform such as the original iPhone Google Chrome, or chatGPT, there’s nothing but upside. The risk is existential failure for the platform but not risk to a massive existing business.
2/ Best of the industry got together to come up with 101 ways to save Apple in June 1997.
2/ Of course it was the launch of the IBM PC (or my 16th birthday). It was a colossal move for IBM to enter the PC space. IBM was a massive company. It was synonymous with computers, just really big ones.
2/ Starship was the largest and most powerful launch vehicle ever created. That the first flight was not flawless though exceeded expectations should be seen as a triumph. Watching the launch recalled the opening montage of “The Right Stuff”. Like this
2/ Super easy to spin this up as a story about a “better technology”. Everything is better with AI so of course search should be too (though Google has always used AI in search). While AI might have been discussed at a first meeting over dinner, all that follows is money/control.


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