Neural Processing Units (NPUs)
Every neural interface includes processing capacity beyond basic functionality. This excess capacity—typically 15-40% of the interface's total bandwidth—can be allocated to external tasks through NPU sharing protocols.
How It Works:
- Idle Detection: Your interface monitors cognitive load, identifying periods of reduced neural activity (sleep, meditation, routine tasks, passive entertainment).
- Task Allocation: External processing requests are routed to your NPU based on matching capacity, security clearance, and compensation preferences.
- Sandboxing: External computations run in isolated neural partitions, theoretically preventing interference with your conscious experience.
- Output Routing: Results are transmitted back to the requester. You retain no memory of the processing you performed.
- Compensation: Micropayments accumulate based on processing time, task complexity, and urgency premiums.


Social Implications
The Cognitive Commons
Some argue that CLB represents a new form of shared resource—the collective thinking capacity of humanity, finally accessible and allocatable. Problems that once required genius individuals can now be solved by coordinated ordinary minds.
Achievements:
The Optimistic View: "We're becoming a collective intelligence, each mind contributing to problems beyond any individual's grasp. This is evolution in action."
The Cognitive Extraction
Others see CLB as another form of labor exploitation—corporations extracting value from workers' most intimate resource: their thoughts.
Concerns:
The Pessimistic View: "First they took our labor. Then our data. Now they want our thoughts themselves. What's left of us when we've sold everything?"
Identity and Ownership
When you contribute to a creative breakthrough through CLB, who owns the result? Your processing was essential, but you don't remember contributing. The requester paid for your time, but the insight came from your mind.
Current legal frameworks favor purchasers—when you sell processing time, you sell the results. But the question remains philosophically unresolved.
Case Study: The Hashimoto Algorithm (2181)
Dr. Yuki Hashimoto developed a breakthrough compression algorithm using distributed creative processing from 47,000 contributors. She won academic acclaim and substantial patent revenue. The contributors received standard CLB rates—an average of 12 credits each.
When contributors demanded recognition and compensation, courts ruled that CLB participation constitutes work-for-hire. The thoughts produced belong to the purchaser.
The Hashimoto ruling established that your creativity, when sold through CLB, is no longer yours.