If you have 10PMs and 90 devs today, and go to 8 "hybrid" PMs + 2 specialized PMs, you're probably still creating backlog items faster than that team can close them.
So you end up with some choices:
* do you move at the same speed, with fewer people?
* do you try to move faster, with less of a reduction in people? this could be trickier than it sounds because if the frequency of changes increases the frequency of unintended consequences likely does too, so your team will have to spend time reacting to that
I think the companies that win will be the second batch. It's what happens today, basically, but today you have to convince VCs or the public market to give you a bunch of more money to hire to 10x the team size. Getting a (one-off?) chance to do that through tooling improvements is a big gift, wasting it on reducing costs instead of increasing growth could be risky.
I don't know the specifics of this case, but maybe the investigators just asked in case there was an accidental trigger, or a real trigger etc. Seems reasonable for the detective to attempt to turn over any stone they can to aid the investigation.
Also, for a lot of people working on hardware, the alternatives aren't great. Big Tech players like Apple, Meta, Amazon, etc. all have downsides. Startsups are extremely risky, and don't pay employees as well (ex: Humane, Rabbit, Peleton, etc.)
A slightly better story for those working on software (e.g. Google Photos App or Backend). They have more options, but relatively good jobs (high pay, flexibility, great coworkers non-crazy hours, etc.) as still hard to come by. They exist, but not sure about the quantity.
For the lmarena leaderboard to be really useful you need click the "Style Control" button so that it normalizes for LLMs that generate longer answers, etc. that, while humans may find them more stylistically pleasing, and upvote them, the answers often end up being worse. When you do that, o1 comes out on top followed by o1-preview, then Sonnet 3.5, and in fourth place Gemini Preview 1206.
I'm assuming hedge funds are using LLMs to dissect information from company news, SEC reports as soon as possible then make a decision on trading. Having faster inference would be a huge advantage.
I think there should be a distinction here. E.g. if you work on a browser, possibly implementing parts of image loading, or javascript parser, etc.
Are you consider a dogfooder if you use the browser? or do you need to lots of write Javascript yourself, etc. to be considered "a user of your product"?
Typically, these are two different sets of people.
I suppose this problem is timeless, back when I was active in the PHP community it was a long-running joke that people who "graduated" to committing to the actual php source (in C) were not doing web development work anymore. And I suppose it was actually true for the majority. On the other hand, designing language features wasn't really related to using it for web work.
E.g.:
If we have 10 PMs and 90 devs today, that could be hypothetically be replace by 8 PM+Dev, 20 specialized devs, and 2 specialized PMs in the future.