We believe embodied intelligence will not emerge from monolithic systems, but from machines that develop understanding through grounded, continuous interaction with their surroundings. Our thesis is that real capability comes from persistent awareness, not scale; from adaptation, not abstraction. We aim to reach embodied general intelligence by taking smaller, deliberate steps—solving continuity, memory, and reasoning in the real world before attempting universality. Each advance closes the gap between momentary perception and lasting understanding, bringing us closer to machines that can learn, act, and improve within the environments they serve.