Update README.md

README.md

@@ -11,9 +11,9 @@ license: apache-2.0
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 ## About
-Edyant is focused on embodied AI and for real-world robotics. We build research-grade frameworks that keep responsible AI grounded in context, consequences, and human needs.
+Edyant is focused on responsible AI frameworks for real-world systems. We build research-grade frameworks that keep AI grounded in context, consequences, and human needs.
 
-Our work targets human-robot interaction where perception, memory, and ethics shape safe behavior in physical environments. We publish frameworks, benchmarks, and experiments so others can test, extend, and build on this work collaboratively.
+Our work targets human-AI interaction where perception, memory, and ethics shape safe behavior in complex environments. We publish frameworks, benchmarks, and experiments so others can test, extend, and build on this work collaboratively.
 
 ### Our Vision
 
@@ -21,33 +21,33 @@ Today, most AI systems act as tools: they respond to inputs, optimize outputs, a
 
 Edyant is working toward something different.
 
-We believe physical AI systems — robots, devices, and intelligent environments — must:
+We believe AI systems must:
 - Understand the humans they interact with
 - Adapt behavior across age, culture, and context
 - Operate with ethical constraints, not just performance goals
 - Maintain continuity, memory, and identity over time
-- Take ownership of actions in the physical world
+- Take ownership of actions in real-world systems
 
 Our goal is to transition AI from **reactive tools** to **responsible agents**.
 
 ### The Four Frameworks
 #### Ethics & Morals
-Ethics & Morals equips embodied AI with value-based reasoning for real-world trade-offs. It helps physical AI balance safety, dignity, autonomy, and efficiency and explain the values behind action choices. This is foundational to responsible AI in robotics.
+Ethics & Morals equips AI with value-based reasoning for real-world trade-offs. It helps AI balance safety, dignity, autonomy, and efficiency and explain the values behind action choices. This is foundational to responsible AI governance.
 
 #### Persistence & Continuity
-Persistence & Continuity treats memory as lived experience in physical AI. It enables long-horizon memory, skill retention, and accountability across deployments, so embodied AI improves over time without repeating the same mistakes. Continuity is essential for trust in human-robot interaction.
+Persistence & Continuity treats memory as lived experience in AI. It enables long-horizon memory, skill retention, and accountability across deployments, so AI improves over time without repeating the same mistakes. Continuity is essential for trust in human-AI interaction.
 
 #### Socially Aware Interaction
-Socially Aware Interaction adapts embodied AI behavior to human diversity, context, and environment. It emphasizes safe spacing, adaptive communication, and respectful pacing in real-world interaction. The goal is inclusive, humane robotics that meets people where they are.
+Socially Aware Interaction adapts AI behavior to human diversity, context, and environment. It emphasizes adaptive communication, respectful pacing, and accessibility in real-world interaction. The goal is inclusive, humane AI that meets people where they are.
 
 #### Sensor-Grounded Awareness
-Sensor-Grounded Awareness anchors physical AI in multimodal perception beyond vision. It enables situational awareness through sound, motion, proximity, and environmental cues so embodied AI acts with real-world context. This grounding is critical for safe, transparent robotics.
+Sensor-Grounded Awareness anchors AI in multimodal signals beyond text. It enables situational awareness through data, telemetry, and contextual cues so AI acts with real-world context. This grounding is critical for safe, transparent systems.
 
 ### Why It Matters
-Embodied AI operates in homes, hospitals, workplaces, and public spaces. Mistakes are physical, not abstract. Responsible AI for robotics must reason about context, adapt to human needs, and remain accountable for real-world outcomes.
+AI operates in homes, hospitals, workplaces, and public services. Mistakes are not abstract. Responsible AI must reason about context, adapt to human needs, and remain accountable for real-world outcomes.
 
 ### Open-Source Ethos
-Edyant Labs, the open-source arm of Edyant is open by design. We welcome collaboration, critical feedback, and contributions that strengthen embodied AI and human-robot interaction. Use the frameworks, test them in new environments, and share improvements back with the community.
+Edyant Labs, the open-source arm of Edyant is open by design. We welcome collaboration, critical feedback, and contributions that strengthen responsible AI and human-AI interaction. Use the frameworks, test them in new environments, and share improvements back with the community.
 
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