Is it a very hard problem to solve that jeff and the other legendary engineers have decided to quit and start on this?

I suspect they want a bit more control over what they're working on. These days the bean counters are running Google.

I mean what are they doing right now at Google? Optimizing data centres? Pretty lame compared to this. Even if they completely fail, i'm sure there'll be good lessons.

sol = mythos terra = opus luna = sonnet/haiku

basically

I don't think you can group Sonnet and Haiku together, they are separate models for different workloads.

I'm still trying to cope with your github profile, 68k commits a year is crazyy

input price $10 per mil token and output price 50$ per mil token btw

input price $10 per mil token and output price 50$ per mil token btw

Maybe add voice to it so that it reads the tutorial out loud and listen to it lessons on the move?

just tried it out, must say it's amazing the speed at which it generates these diagrams Is this opensource by any chance? Would love to take a look at the code and understand how it works

They do have a couple of interesting features that has not been publicly heard of yet:

Like KAIROS which seems to be like an inbuilt ai assistant and Ultraplan which seems to enable remote planning workflows, where a separate environment explores a problem, generates a plan, and then pauses for user approval before execution.

A simpler version of openclaw?

I would assume it's the mediocre people that will be let go first

The competent will ditch the sinking ship of their own accord.

The mediocre will be the ones most eager to use AI to generate their output, which will satisfy management's short term cost saving goals.

It's probably the people who were too busy working to play the office politics game that are let go first.