On a recent episode of the All In podcast, one of the hosts made a remark along the lines of "in the future [when AI has replaced the knowledge worker], insatiable demand will exist for people who are experts in querying NLPs." I think we're seeing that here.
This product gives me the same sketchy vibes as Mighty[1]. There's absolutely no way I'm going to give up one of my most sacred tools to a funded company whose going to expose my every click.
I wondered the same. Then I realized it sends out requests to googleapis, segment, and sentry. Imagine having data on every dev's terminal workflow? Ca$h.
In large-ish meetings (3+ attendees), I usually turn off my camera (and mute my mic) when I'm not the one talking. For less formal meetings I might relax this. But, in general, I've found that keeping cameras and mics on at all times usually derail meetings.
This is my thought as well. I get the "make productive engineers even more productive" angle, but productive engineers' bottleneck isn't coding. Sure, coding up a boilerplate Go web server is tedious, but I have done it so many times that it takes me two seconds now.
On the flip side, coding can be the bottleneck for the worst kind of coder. When I first started coding, coding was hard simply because I had very little reps and was just learning to understand how to code common solutions, data structures, libraries, etc. Fast forward a few years and, if I were still struggling to understand these concepts, Copilot is a lifeline.
I had a similar experience after switching companies (to remote) last year. Work computer has no personal accounts/services. iPhone (and personal Mac) has no work accounts/services. No Slack, calendars, etc. I made it clear up-front that I am not available before 8AM and after 5PM M-F, but very available during work hours. Best decision I ever made!
We actually do know what, or who, the denominator is. A large majority of tweets come from a small minority of tweeters: roughly 10% of tweeters account for roughly 80% of all tweets on the platform [1].
For those looking for more info and practical advice on this topic: check out the Huberman Lab podcast. The host, Dr. Andrew Huberman, spends four episodes talking about sleep. He actually draws a lot of research from the folks at UCSF (mentioned in the article).