"Also, Siri’s agentic features - if they work as advertised - can increase Apple’s leverage over App Publishers, because now the AI - not the user - is the entity opening and clicking on the apps."
This was really interesting to me. How does one develop an app for Siri (or an AI agent in general). Is there a standard way to communicate and expose the functionality of your app?
Can you say more about this? What accounts for the difference in time spent on a pretty good vs a very good paper? Is it that you find the material in a very good paper more worthwhile, and thus are willing to expend more effort to understand it?
Looking at the number of bills introduced right at the start of the new congress I'm under the impression that many of these are introduced only so the congressperson can go back and say "I introduced a bill to do ____" and brag about it.
It would be interesting to data mine these and see how effective certain legislators are at just introducing bills compared to actually getting them passed.
Govtrack tracks this and compiles report cards that (mostly) reveal what you're looking for, e.g., its reports on Bills Introduced, Bills Out of Committee, and Laws Enacted [1]. The 2020 report cards should come out sometime this month.
> There’s a pretty fuzzy line between something appropriate for the end of undergrad versus the beginning of grad school.
I agree. I've come across countless math textbooks claiming to be aimed at "beginning grad students and advanced undergrads." There's a lot of variability in that cross section of readers. Thinking back to my own senior year as an undergrad, some of my peers were extremely bright and were bound for top grad school programs, and some were just barely scraping by managing to graduate by the skin of their teeth.
This was really interesting to me. How does one develop an app for Siri (or an AI agent in general). Is there a standard way to communicate and expose the functionality of your app?