An app was recently mentioned in hn comments, for "live blogging" as PIM - a texting-like personal record of your questions and findings as they go by - research notebook meets chat UI. With a trace like that, or even just a browser trace, an AI might, without interrupting, summarize "what's Joe working on" and perhaps "how's that going?", or even "Hey Bob, maybe come chat with Joe?". And it could be nice to have a PIM that helped you maintain distilled clarity of objectives and state of play. Less nice the vision of a micromanager mesmerized by the dashboarded real-time state of his team.
A physics peer-instruction app, in support of "instructor puts up a question; everyone individually commits an answer; discussion with a neighbor; answer again", told students which neighbor to talk with, optimizing for fruitful discussions, knowing seating and the (mis)understandings implied by answers. LLMs open a lot of possibilities for the old dream of computer-supported cooperative work.
When github was band new, I'd hopped it would grow far more social/meetup/hackathony than it ended up. Wander by, see who's around and what people were banging on; stop by the beginner tables and see if anyone was stuck or struggling; maybe join a push; maybe pair or group; interest profiles, matchmaking (eg round-robin pairing, or "oh! a category-theoretic type system in-the-style-of-a-conference-bar discussion!"). Like a team or small community discord with bots, but scaled. Perhaps AI can make something like that more tractable.
An app was recently mentioned in hn comments, for "live blogging" as PIM - a texting-like personal record of your questions and findings as they go by - research notebook meets chat UI. With a trace like that, or even just a browser trace, an AI might, without interrupting, summarize "what's Joe working on" and perhaps "how's that going?", or even "Hey Bob, maybe come chat with Joe?". And it could be nice to have a PIM that helped you maintain distilled clarity of objectives and state of play. Less nice the vision of a micromanager mesmerized by the dashboarded real-time state of his team.
A physics peer-instruction app, in support of "instructor puts up a question; everyone individually commits an answer; discussion with a neighbor; answer again", told students which neighbor to talk with, optimizing for fruitful discussions, knowing seating and the (mis)understandings implied by answers. LLMs open a lot of possibilities for the old dream of computer-supported cooperative work.
When github was band new, I'd hopped it would grow far more social/meetup/hackathony than it ended up. Wander by, see who's around and what people were banging on; stop by the beginner tables and see if anyone was stuck or struggling; maybe join a push; maybe pair or group; interest profiles, matchmaking (eg round-robin pairing, or "oh! a category-theoretic type system in-the-style-of-a-conference-bar discussion!"). Like a team or small community discord with bots, but scaled. Perhaps AI can make something like that more tractable.