Building AI Models is faster and cheaper than you probably think
Summary
These companies have built models that generate professional-quality music, design novel proteins, accurately predict the weather, and let robots navigate the world.To move this quickly, these companies figured out smart technical tricks that reduce computation with creative model architectures or use less data by applying industry specific insights.We talk about many of these companies and the feats theyve achieved in the most recent episode of the Lightcone podcast:We hope this list inspires more founders to realize that they have the ability to build their own models and advance the field of artificial intelligence in new directions.Atmo: AI-powered meteorology for countries, militaries, and enterprises, promising weather predictions that are considerably more accurate yet cheaper to produce than the existing state of the art.Can of Soup: Can of Soup is an app where you can use AI to create photos of you and your friends in imaginary situations. Example: digging through hours of traffic footage to find when a specific car appears with just its description (e.g. red prius with a golden wheel cap turning right). It can offer up code to fix it.Piramidal: A foundation model for understanding brain activity, trained on a colossal and diverse corpus of brainwave data. Theyve been able to train a large model with lower computational costs by reducing the memory footprint by dividing sequential EEG data into chunks.Playground: A powerful AI-based image editor. The company recently released a public beta of a tool that lets you create a human-like replica of yourself with 2 minutes of footage.Yoneda Labs: Helps chemists figure out the best temperature, concentration, and catalysts to optimize their chemical reactions.Yondu: Building foundation models for robots to autonomously navigate the world.