Crowds hold a predictive power that can have startling accuracy.
How and When to Involve Crowds in Scientific Research - The Book
This book explores how millions of people can significantly contribute to scientific research. Discover main elements, authors, and who this book is for and why.
Release the pressure | Paul Stephenson | Offprint
Episode four of Sunset Season Five is here!
The Reckoning | Paul Stephenson | Offprint
The final episode of Season Five is here
Episode 5: Metaphors for AI, with Shannon Vallor
This week, Adam talks with Shannon Vallor, a philosopher of AI, about the metaphors we use to talk about AI and ourselves. They also dunk on libertarians and San Francisco billboards, and consider what kind of hope we can have for the future of technology.Messages: • Support the show at patreon.com/DreamingAgainstTheMachine • Follow us on Bluesky and Instagram • Subscribe to the show wherever you get your podcasts! • Check out other great podcasts from Multitude like Wow if TrueAbout the show:Dreaming Against the Machine is a podcast about envisioning a realistic and hopeful future. Each week, the show’s host, journalist and astrophysicist Dr. Adam Becker, will have an earnest (and entertaining!) conversation with a guest about possible futures, seen through the lenses of history, science, and culture. In a world where tech oligarchs and their power fantasies are driving visions of the future, Dreaming Against the Machine aims to take back the terms of the public conversation about what our world can and should be.
Special episode: Apps vs Files with Gordon Brander, Peter van Hardenberg & Jess Martin.
Episode 31: Science Is a Human Endeavor (feat. Molly Crockett and Lisa Messeri), April 15 2024 - Mystery AI Hype Theater 3000
Will AI someday do all our scientific research for us? Not likely. Drs. Molly Crockett and Lisa Messeri join for a takedown of the hype of
How and When to Involve Crowds in Scientific Research | James Evans
The lone academic in a basement lab is an endangered species. Years ago I asked Paul Ginsparg, who founded arXiv, what features his machine-learning filter used to flag speculative submissions. The top three: single-authored, submitted on a weekend, and heavy citation of Newton and Einstein. Science is a contact sport now. Marion Poetz and Henry Sauermann's How and When to Involve Crowds in Scientific Research (https://lnkd.in/g5pwVbfD) is the field manual. What crowds can do: Volume. Zooniverse mobilizes 2.7 million people to classify galaxies and court records. Galaxy Zoo's co-founder hand-classified 50,000 galaxies in one week before concluding that isolation would break him. Reach. NASA spent years failing to predict solar flares, then broadcast the problem. The winner was a semi-retired radio engineer in rural New Hampshire who swapped satellite data for radio data. Experience. Patients and caregivers asked to generate research questions produced 826 that scientists had missed, including the link between aging and wound healing. Bench-to-bedside runs backward. One caution the book underplays: an open call is not an inclusive one. Participation costs in time, money, and access screen people out. Self-selection can narrow the very diversity that makes crowds thrive. As AI floods the labor supply of routine, homogeneous cognition, human crowds become more valuable, not less. Machines process. People notice what nobody thought to ask. Check out my review @ https://lnkd.in/gkzvWrRC and the book @ https://lnkd.in/g5pwVbfD!
The signal and the noise: why so many predictions fail - but some don't
"Nate Silver's The Signal and the Noise is The Soul of …
The Intelligence Curse
This series examines the incoming crisis of human irrelevance and provides a map towards a future where people remain the masters of their destiny.
The Commons w/ Peter Linebaugh
The Creature in the Machine | Frankly 120
Wisdom in a World in Crisis: The Counterintuitive Need to Slow Down and Find Spaciousness - The Great Simplification
In this episode, Nate is rejoined by philosopher and neuroscientist Iain McGilchrist for discussion on how our left-brain dominance obscures our sense of value, especially for abstract qualities such as truth, goodness, and beauty.
