K Scale Labs aims to create consumer humanoid robots, following a model that emphasizes proving concepts without needing massive initial funding.

Since starting Scale, we've been at the forefront of every major development in AI, working with companies like General Motors and Toyota on autonomous vehicle programs and collaborating with the US government on pioneering AI initiatives.

In the early days of Scale AI, the focus was on refining data for autonomous vehicles, transforming raw data into labeled, high-quality data for machine learning applications.

The story of Scale AI exemplifies a classic startup journey, where founders pivoted from an unrelated idea to successfully address the demand for data labeling in AI, particularly for self-driving cars.

The development of Tesla's humanoid robot is inspired by the company's advancements in AI and manufacturing, leveraging the same technology used in Tesla's self-driving cars.

In robotics, clear perception of the environment enhances performance, leading us to conduct experiments with both real and simulated robots.

Elon Musk's Grok 3.5 AI focuses on finding the fundamentals of physics and applying those tools across all lines of reasoning, aiming for truth with minimal error, which is crucial for AI safety.

OpenAI's new class of reasoning models hints at a potential new direction for scaling AI models.

I think a reasoning model trained around physics would do what Elon is describing, and I salute him for leading the way in areas like Grok language models that allow interaction in ways big companies never would.