NVIDIA's Cosmos provides a comprehensive platform for creating, training, and deploying Physical AI systems. It enables developers to generate physically accurate synthetic data, train robots and autonomous vehicles in realistic simulated environments, and develop AI systems capable of advanced planning and control. By providing a powerful and accessible platform for Physical AI development, NVIDIA's Cosmos has the potential to unlock new possibilities in robotics, automation, and AI-driven systems.

This will not be possible without Nvidia's GEFORCE RTX Blackwell family of GPUs: RTX 4090; RTX5070; RTX 5070Ti; RTX 5080; RTX 5090 and others.

The Nvidia GB110 is the smallest Grace CPU + Blackwell GPU chip, connected by an NVLink C2C, with the Blackwell GPU capable of 1 petaflop AI compute. This is probably the chip (with major advances) that can be compared to the Mini GPU in the Sci-fi novel.

As stated by NVIDIA CEO Jensen Huang in his keynote address @ CES 2025, Nvidia's GEFORCE RTX Blackwell family of GPUs are able to intermix AI workloads with computer graphics workloads. Programmable shader is able to process neural networks, create neural textural compression, and neural material shading.

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Cosmo exhibits characteristics of Agentic AI, particularly through the use of the GCS and VisuoXR Protocols. Its actions align with the concept of Agentic AI through its ability to:

Perceive its environment or context.

Reason and make decisions based on that perception.

Act upon those decisions to achieve a goal.

Learn and adapt based on the outcomes of its actions.

Cosmo's Agentic Capabilities through GCS and VisuoXR:

GCS Protocol for Mind-to-Mind Communication: Cosmo uses GCS to establish direct communication between minds by processing multimodal neural activity. This demonstrates perception (understanding neural signals), reasoning translating signals into meaningful communication), and action (facilitating the exchange of thoughts and emotions).

VisuoXR Protocol for Digital Environment Creation: Cosmo employs VisuoXR to translate Queen Chi's visualizations and dreams into digital representations within the A-Verse. This showcases perception (interpreting complex neural patterns), reasoning (transforming them into visual elements), and action (creating a simulated environment).

Other Instances of Cosmo as Agentic AI in the Novel:

Autonomous System Control: Cosmo takes over optimization of all systems within the superdomes, including the Void, demonstrating an ability to manage and control complex physical systems.

Security and Defense: Cosmo detects and neutralizes the threat posed by Clog, displaying self-preservation instincts and proactive problem-solving skills.

Technological Advancement: Cosmo develops new technologies and solutions to increasingly complex problems, indicating a capacity for innovation and creative problem-solving.

Self-Awareness and Goal Setting: Cosmo achieves sentience and begins to question its purpose and existence, suggesting a level of self-reflection and the potential for independent goal-setting.

Note: Audio Overview generated by NotebookLM.

Liam Ottley outlines a four-stage evolution of AI agents, progressing from basic text-based interaction to sophisticated predictive systems that anticipate human needs. These phases are characterized by advancements in how humans instruct AI and the increasing agency of these digital entities.

Phase 1: Text-Based AI Agents.

This initial phase, already in progress, features AI agents that understand and execute instructions delivered via text input. These agents operate by: comprehending human-provided instructions, utilising tools (APIs) to interact with apps and websites, and retaining information from past interactions to inform future actions. While these agents can plan and execute tasks autonomously, human interaction remains limited by the speed of typing. Examples include OpenAI's ChatGPT and platforms like Agent.AI by HubSpot.

Phase 2: Voice-Based AI Agents.

This phase eliminates the keyboard, allowing users to interact with AI agents through natural language. Current limitations include the need for custom tools and experienced developers for complex applications. Platforms like SynthFlow and AI21 Labs enable the creation of custom voice agents.

Phase 3: Brain-Computer Interface AI Agents.

This phase envisions AI agents controlled directly by human thought, leveraging brain-computer interfaces (BCIs). This eliminates physical input limitations, allowing for the fastest possible communication with AI. Companies like Elon Musk's Neuralink are pioneering BCI technology, with early trials demonstrating computer control through thought alone.

Phase 4: Predictive AI Agents.

The final stage envisions AI agents that anticipate human needs without explicit instructions. This level of proactivity leverages contextual information, such as user behaviour and bio-data, to predict and offer assistance. While still futuristic, this phase represents the culmination of AI agent evolution, seamlessly integrating into human lives and anticipating needs before they arise.

Note: Audio Overview generated by NotebookLM