Sourcery

Rainmaker’s Secret AI Plan for Superintelligent Weather

14 snips
Aug 15, 2025
In this chat, Augustus Doricko, founder of Rainmaker, and Alex Levy, founder of Atmo, dive into groundbreaking strategies for combating freshwater scarcity through innovative weather engineering. They unravel the mechanics of cloud seeding and clarify common misconceptions. The duo discusses the stunning speed and accuracy of AI-driven meteorology compared to legacy systems, and how these advancements can revive industries and manage drought. They also tackle the challenges of public perception regarding weather modification, particularly after recent natural disasters.
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INSIGHT

High-Resolution AI Weather Models

  • Atmo built deep learning weather models that predict the atmosphere with far higher spatial precision than legacy models.
  • Alex Levy says Atmo subdivides a city from ~9 pixels into over 10,000 zones for precise targeting.
INSIGHT

AI + Radar Improves Seeding Outcomes

  • Combining Atmo's AI forecasts with Rainmaker's radar and drones improves targeting, scenario modeling, and attribution for cloud seeding.
  • Augustus Doricko highlights these three gains as core benefits of the partnership.
ADVICE

Optimize Seeding With Scenario Modeling

  • Use scenario modeling to choose seeding locations that maximize on-ground water and beneficial watershed placement.
  • Augustus advises placing snow on mountain tops so runoff and snowmelt last longer for reservoirs downstream.
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