A selection of the latest blogs.

How to help people - and leaders - plan for organizational impact of Generative AI
A case study
Our world routinely throws away or ignores the knowledge we create.
Our society has created huge challenges through the interplay between our paleolithic brains, our archaic institutions, and our technology. But we can take the logical next step to build superminds that overcome them, and withstand the thrust of an exponential world.
Very little works well standalone and out-of-the-box, in the real world of enterprise workflows.
What can we do without symbolic reasoning, which is something that humans use more extensively, and that LLMs don’t use as much?
People’s enterprise-network “signature” shows when they’re disengaged, less productive, and when they might eventually leave.
What if we could use millions of machines to curate, consolidate, pre-process input and ideas, and inject them back into close loops with their human-mind counterpart — for perhaps thousands of humans?
The “intention to quit” surveys aren’t a great predictor of employee attrition — something else is. And it has to do with networks of knowledge.
Not just the intelligence of our brains — but rather the deliberate, non-random adaptation that seems to take place around us, from the smallest components of life to organizations, ecosystems, and beyond. Is there an architecture, a primitive, common to those?
Depending on the challenge at hand, what group size is needed?

Photo credits: Alyna Grubnyak, Unsplash