Companies are moving away from renting AI solutions and prefer to own and control their models, seeking flexibility and the ability to implement complex systems.

Fine-tuning Copilot with proprietary data will give companies a competitive edge over generic AI solutions. The sustainable advantage lies in obtaining new samples to apply reasoning models with your data, enabling reinforcement learning in real-world applications.

We've developed an AI dynamic pricing engine that sets optimal prices based on historical data, market trends, and various external factors.

The initial business of Scale AI focused on generating data for self-driving car companies, which required us to stay ahead of AI trends.

Scale AI is evolving from a data labeling company to a leader in agent-driven technology, which is growing rapidly and is seen as an infinite market.

The company has developed custom AI models to achieve high accuracy in specific use cases, enhancing overall service delivery.

An autonomous car could be used as an 'autonomous Uber', significantly increasing its utility from about 10 hours a week to potentially 50 hours a week.

AI's elasticity allows companies to scale operations quickly, enabling them to generate leads or complete tasks that previously required extensive hiring and staffing.

To optimize costs with AI agents, you can either choose a cheaper model or reduce the amount of data fed to it, but it's best to start with a good model and ample data first.