Diverse themes observed at GECCO 2006 | Notional Slurry
Many of our most interesting and impactful projects will be multiplayer. We'll work together to create art, make games, tell compelling stories, and build new technology. Many of these initiatives will be fundamentally "headless," or lacking a singular leader. Instead, emergent groups will arise to tackle different problems and earn more responsibi... See more
Nick deWilde • 18 Trends That Will Shape Our Careers in 2022
sari added
Serendipitous discovery, creative exploration, intrinsic inefficiency: they all come back to play.
A More Play-Full Future: RADAR Future #2
In 2004, I sat down in my boardroom with our strategy documents and started to dissect them. There were lots of familiar and comfortable terms. We had to be innovative, efficient, customer centric, web 2.0 and all that this entailed. Alas, I suspected these common “memes” were repeated in the strategy documents of other companies because I was pret... See more
Simon Wardley • Highlights From medium.com
cássius carvalho added
The most interesting problems in the world exist at the intersection of disciplines, but it is uncommon for scientists to reach across their disciplines and collaborate with other scientists outside of their discipline
Michael Mauboussin • Michael Mauboussin — How Great Investors Make Decisions, Harnessing The Wisdom (vs. Madness) of Crowds, Lessons from Race Horses, and More (#659) - The Blog of Author Tim Ferriss
sari added
Doing “deep learning” in vast, pooled, individuality-dissolving intelligence collectives is apparently for machines and insects, not us. Even though we’re just coming off a couple of centuries doing exactly that in vast and hyper-specialized industrial economies. What might it mean to lean into that, instead of resisting and retreating?
Substack • Graph Minds
Keely Adler added
The two most important problems (at least how I am thinking about them currently), are:
Finding a rigorous scientific framework for how different agent skills, personalities, and instructions combine to be most capable for different problems (think of this as social management science for AI agents) .
Figuring out how you formally validate and verify... See more
Finding a rigorous scientific framework for how different agent skills, personalities, and instructions combine to be most capable for different problems (think of this as social management science for AI agents) .
Figuring out how you formally validate and verify... See more
Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]
Nicolay Gerold added
Working in tech should be more like filmmaking—artists jumping from project to project, collaborating with new creators across disciplines every few months, making magic happen.
Imagine a collab between your favorite designers/devs dropping like a Wes Anderson trailer.