This trend has pulled AI from the 'distant cloud' to the 'nearby terminal.' In the future, what we buy will no longer just be a 'computer,' but a digital brain with dedicated computing power that can handle chores for you 24 hours a day. As AI becomes as indispensable as a smartphone, the lines between us and machines will become completely blurred. At this stage, the emergence of a cryptocurrency as a fast settlement system in the virtual world is absolutely inevitable; it’s just hard to tell which cryptocurrency will win.

Unleashing imagination, one possibility is that these super companies may directly issue their own cryptocurrencies, directly becoming their own network world ecosystem.

For instance, does Google’s YouTube pay YouTubers with its own cryptocurrency every month? Does Apple send its own cryptocurrency directly to app developers every month?

In an interview with Jensen Huang and Dwarkesh Patel, he mentioned a similar concept. As computing costs decrease and model efficiency improves, AI will no longer just be a monster in cloud data centers, but will become a "personalized" agent (Agent AI).

Regarding your mention of "personal AI computers that anyone can buy", NVIDIA is currently bringing supercomputer capabilities into homes through several products and technologies.

### 1. RTX AI PC (Personal computer equipped with powerful GPUs)

This is currently the most direct example. NVIDIA has integrated tensor cores, originally used for training AI, into consumer-grade GeForce RTX series graphics cards.

*Example:** A laptop or desktop equipped with RTX 50 series (or the existing 40 series) graphics card.

*Application:** Through ChatRTX, users can run large regional language models (LLM) on their own computers. You can throw thousands of personal documents at it, and it will instantly become your most understanding personal assistant in a "no internet, privacy-protected" environment. This is the beginner's form of a personalized supercomputer.

### 2. NVIDIA Jetson Series (Embedded AI brains)

If the "lobster" you mentioned refers to that kind of perceptive Agent AI, then the hardware foundation is usually the Jetson platform.

*Example:** NVIDIA Jetson Thor or Jetson Orin development kits.

*Application:** These palm-sized modules possess AI inference capabilities on par with former supercomputers. They are integrated into household robots, companion robots (like the Agent concept devices you mentioned), or self-driving cars, allowing robots to understand the physical world like humans.

### 3. NVIDIA DGX Spark (Workstation-level personal AI devices)

For individuals or small studios needing to develop their own AI, NVIDIA has also launched products that fall between "servers" and "computers."

*Example:** DGX Spark (or similar desktop AI workstation).

*Application:** It allows individual developers to have a small AI factory right under their desk, training their own agents without needing to rent expensive cloud computing power.

### 4. AI-driven software applications (turning old hardware into powerful tools)

NVIDIA is also using AI to push ordinary devices beyond their hardware limits.

*Example:** DLSS 3.5 / 4.0 and ACE (Avatar Cloud Engine).

*Application:** The issue of "loading slow enough to grab some instant noodles" is history. Now, with AI frame interpolation and noise reduction, an average player's PC can achieve graphics quality that was once reserved for supercomputers; and ACE technology transforms NPCs in games into agents that can talk, listen, and have a soul.