Yesterday we had an AMA with @Loosh_ai subnet 78, here is the recap of our conversation with @AgenticToaster and the CEO of Loosh. Hope that helps everyone understand this company a little bit better. Humanoid hardware is basically here, we all see the Unitree videos, sometimes amazing, sometimes “please keep that away from my kids.” The gap is not motors, it is cognition and ethics. LLMs are great text machines but they are still just pattern matchers, they do not actually understand right and wrong, so you cannot just bolt GPT onto a robot and hope for the best. Loosh wants to live exactly in that gap. Right now it ships as a chat agent, but under the hood it already runs their persistent memory, cognitive inference, dynamic execution and three early cognitive services around ethics. Closed beta is coming, then an API and SDK in Q1 so people can plug this into real robots or other agents. You can use the whole stack as an agent, or cherry-pick pieces like memory or ethics. The ethics engine was the most interesting part. It does not pretend there is one perfect rule set. It looks at actions through four lenses, deontology, virtue ethics, rights based ethics and utilitarianism, all wired into an ontology of rules, rights and utility scores. It evaluates an action across those four, wraps the result into a structured report and feeds that to the LLM, which still makes the final call but with much better context. Every interaction is then written back into narrative memory with outcomes, so over time the system is reasoning from both rules and experience, not just a static prompt. Their favorite example is the robot refusing to get vodka for an eleven year old and being able to explain why. On the emotional side they are very clear this is the hard part. They want robots to read pain, fear, stress, lying, tone and body language, and then express their own “emotion” in a way that is relatable without being creepy. That is where their EEG plus audio and video work comes in, and the MIME layer that turns internal state into something like an R2D2 style expression, clearly readable but not fake human. From a business angle they already have a rough model, individual licenses around one thousand a year, business around ten thousand, and then a robotics SDK line for OEM partnerships. Numbers will move, but at least there is a path from ethics demo to revenue. My takeaway is that Loosh is not just slideware, the skeleton is real, ethics and memory are already running, emotional inference is the big hill. If they can turn this into the default “ethical and emotional brain” for the robots that are coming, this subnet could matter a lot. For now I want to see the closed beta in action and how the first SDK integrations look next year. $TAO