Artificial general intelligence is not going to emerge from patterns in natural language. Instead, it will emerge from ground truths and reasoning traces.

Just like how babies learn to interact with their environment and build cause-and-effect from ground truth, at ABV Dynamics, w believe that AGI robots can only be made by training on ground truth, not human-generated data.

Current engineering design shows that the majority of ideal and successful design stems from nature. The human brain is no exception.

The foundational architectures for these robots, both for training and deployment, are modeled after how human brains learn and act, based on current findings in neuroscience.

Not actually. But we're painfully aware of the dangers of robots with real-life actuation. That's why each robot at each layer of hardware and software has and will have hard stops to prevent any risk of degradation.

It's also important to note that we are fundamentally different from AI systems like those by OpenAI. Since we're not training from human data, our robots have no access and cannot learn things like "self-preservation" or "deceit," since they're trained on only the physical environment.