Many Agents, Many Problems (The Agents Season, Episode 8) episode artwork

EPISODE · Jun 8, 2026 · 28 MIN

Many Agents, Many Problems (The Agents Season, Episode 8)

from Linear Digressions · host Katie Malone

Whether you work best solo or thrive in a team, you know collaboration is complicated — and it turns out AI agents face the same tensions. This episode dives into multi-agent systems, exploring how networks of AI agents can overcome the individual limitations of a single model, and what the research says about when collaboration actually helps versus when it just adds noise. Think scaling laws, but for teamwork. --- Website: https://lineardigressions.com Apple Podcasts: https://podcasts.apple.com/us/podcast/linear-digressions/id941219323 Spotify: https://open.spotify.com/show/1JdkD0ZoZ52KjwdR0b1WoT Substack: https://substack.com/@lineardigressions

Whether you work best solo or thrive in a team, you know collaboration is complicated — and it turns out AI agents face the same tensions. This episode dives into multi-agent systems, exploring how networks of AI agents can overcome the individual limitations of a single model, and what the research says about when collaboration actually helps versus when it just adds noise. Think scaling laws, but for teamwork. --- Website: https://lineardigressions.com Apple Podcasts: https://podcasts.apple.com/us/podcast/linear-digressions/id941219323 Spotify: https://open.spotify.com/show/1JdkD0ZoZ52KjwdR0b1WoT Substack: https://substack.com/@lineardigressions

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Many Agents, Many Problems (The Agents Season, Episode 8)

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Michael Saylor Michael J. Saylor is the co-founder, Chairman, and CEO of MicroStrategy, a software company specializing in business intelligence, enterprise reporting, and online analytical processing. The son of an Air Force sergeant, he spent his childhood living around the world, and graduated high school at the top of his class. In 1987, Saylor earned his degree in Aeronautics and Astronautics and Technology from MIT on an ROTC Scholarship, but a benign heart murmur kept him from becoming a pilot. While at MIT, he took a "system dynamics theory" class, which gave him the initial idea of a computer modeling business with non-linear mathematics. After graduating from college, he worked as a venture manager at DuPont. The time he spent creating computer simulations at MIT prepared him for his new job at DuPont, where he constructed models to simulate business interactions. Saylor went onto co-found MicroStrategy in 1989, at the age of 24, with a consulting contract from DuPont, which provided him w Defining Marriage - Gay/LGBT News & Chat Matt Baume & James Morris Each week on Defining Marriage, hosts Matt Baume and James Morris chat about what's happening with marriage equality, featuring frequent digressions into pop culture, silly banter, and the jokes and quibbles that have kept them together as a couple for over a decade. The first eighteen episodes of the podcast contain the complete audiobook version of the book Defining Marriage, which traces the decades-long evolution of marriage through the personal stories of those who lived through it, featuring personal insights from the lives of Evan Wolfson, Dan Savage, Ken Mehlman, Dustin Lance Black, and many more. The Talk Show With John Gruber Daring Fireball / John Gruber The director’s commentary track for Daring Fireball. Long digressions on Apple, technology, design, movies, and more. Let's Talk About Grief With Anne Anne DeButte Grief is messy. It's the opposite of linear. It can be dark and wacky, lonely or not, love-filled or seemingly lacking - but it is so very alive. No two people experience this process in quite the same way. These episodes are conversation starters for dealing with dying, death, and grief, part therapy and part storytelling in disguise. They'll shine a light, giving you hope and understanding of how others have managed their grief. Also, they are an insightful guide to life's many losses. You don't have to struggle alone? Please connect [email protected] at https://www.understandinggrief.com

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This episode is 28 minutes long.

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This episode was published on June 8, 2026.

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Whether you work best solo or thrive in a team, you know collaboration is complicated — and it turns out AI agents face the same tensions. This episode dives into multi-agent systems, exploring how networks of AI agents can overcome the individual...

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