Categories: AI/ML News

AI agents can build consensus on a scale humans can’t

Everyone is familiar with the situation: A larger group of people plans to visit a restaurant together, but it can take time and sometimes a great deal of patience to agree on a time and place to meet. The better the participants know each other and their preferences, the faster they will reach an agreement. However, past social science experiments have demonstrated that people are only able to socialize effectively with 150–200 others without requiring rigid rules. Researchers call this Dunbar’s number.
AI Generated Robotic Content

Share
Published by
AI Generated Robotic Content

Recent Posts

Minimax H3 + RefMod = consistent location trick

Hey, I found a pretty cool way to keep locations consistent across generations. I took…

8 hours ago

The Nvidia Shield TV Is 7 Years Old. It Just Got a $100 Price Hike

The price of anything with memory is skyrocketing thanks to AI. Aging streaming devices are…

9 hours ago

What image model was used here?

Anyone knows what could've been used here? Which model generates such photorealism? I've been using…

1 day ago

Language Discrimination Improves Linguistic Learning in Multilingual Speech Models

Multilingual self-supervised speech models can benefit from sharing information across languages, but under a matched…

1 day ago

Early Talent Hiring at Palantir

What Hiring Managers value — and how they’ve built their careers at PalantirEditor’s Note: Technical Recruiter Rachel Vogel…

1 day ago

Sweep thousands of leases for compliance using Amazon Quick and the Adjudicated Query pattern

Checking tens of thousands of apartment leases against constantly changing state landlord-tenant laws, and proving…

1 day ago