Jaden Schaefer

There's a lot of different productivity tools and they're getting a lot of money.

They're raising a lot of money.

So everyone's trying to kind of create this intelligence layer built into meetings and notes and workflows.

So you could look at like Granola, that's an AI note taking startup, and they just raised $43 million at a $250 million valuation.

And they're rolling out a whole bunch of collaboration features.

And so and it's also kind of interesting, like with Granola's case, because they just started out as like literally an AI note taking startup.

They got a lot of usage.

They were quite useful.

And then they're rolling out to all of these other areas where like human and is like, you know, got some really solid researchers and they're like, we're going to do everything, but they have no product.

And I sometimes I wonder which of these is better.

And I feel like something like Granola is a great company where they proved that they had a lot of demand.

They proved that they had a solid team.

Then they go raise more money and expand and

humans and and a lot of these other labs and and maybe i'm gonna look like the dummy in the future but um a lot of these labs that just raise massive amounts of money with no product and no roadmap i don't know to me it just seems quite crazy and i hope that they can all deliver i anyways that's gonna be the most stressful way to do it for the founders i guess i'll put it that way so

At the same time, there's a lot of really influential voices that are kind of reframing the future around AI coordination rather than automation.

Reid Hoffman has argued that companies are misusing AI by using it in isolated pilots rather than kind of getting it straight into how their teams are sharing knowledge and information.

decision making um reid hoffman was recently writing and he said ai lives at the workflow level the people closest to the work know where the friction is they're the ones who will discover what should be automated compressed or redesigned and i think that is sort of what humans is trying to do um the vision is basically a system that's going to act as a is like the quote-unquote connective tissue across an organization or even maybe like a household right if they're trying to do more consumers

And it's trying to understand individual skills, preferences, motivations.

And then it's also trying to help balance all of that in service of different like shared goals.

So I think getting there is going to require a lot of rethinking of how models are trained.