So could you describe what his day looks like when he's doing the training?

Of course.

So Ranjan works full-time at one of the Big Fours and does this after work.

He straps an iPhone or any sort of body camera, basically, to his chest and opens a task list.

This task list, uh, has a set of instructions.

Mm-hmm

... um, industry to more, like, understanding that deep tech is something that needs patient capital, and that has sort of showed that, like, once LLMs showed that, like, foundational models could sort of generalize across many tasks-

Sakshi, do you want to tell us a little bit about the story that we published?

Yes.

Uh, the central idea behind the story was very simple.

I was at a friend's place, and their roommate actually came back to... back from his job at a Big Four consultancy and started doing something very mundane to look at.

He strapped a phone to his forehead and started recording himself just folding clothes, washing dishes, and just moving through the home.

He would then do it, uh, in different speeds.

He would start off slow.

Oh