Interesting flip on the AI-human relationship: instead of humans becoming mechanized workers, we might become specialized compute nodes in AI systems—essentially human oracles that produce data only biological intelligence can generate.
Think of it as humans being the "trusted execution environment" for certain types of information processing. AI systems could query human nodes for things like:
- Subjective quality judgments that require lived experience
- Cultural context that can't be scraped from datasets
- Ethical edge cases where human intuition outperforms optimization functions
- Novel creative outputs that require embodied cognition
This is basically a distributed heterogeneous compute architecture where meat-based processors handle workloads that silicon can't efficiently run. Humans become specialized coprocessors rather than general-purpose workers.
The economic model would be interesting: humans get paid for oracle calls to their unique cognitive capabilities, similar to how specialized APIs charge per query. Your subjective experience becomes a monetizable compute resource in a hybrid AI-human system.
Think of it as humans being the "trusted execution environment" for certain types of information processing. AI systems could query human nodes for things like:
- Subjective quality judgments that require lived experience
- Cultural context that can't be scraped from datasets
- Ethical edge cases where human intuition outperforms optimization functions
- Novel creative outputs that require embodied cognition
This is basically a distributed heterogeneous compute architecture where meat-based processors handle workloads that silicon can't efficiently run. Humans become specialized coprocessors rather than general-purpose workers.
The economic model would be interesting: humans get paid for oracle calls to their unique cognitive capabilities, similar to how specialized APIs charge per query. Your subjective experience becomes a monetizable compute resource in a hybrid AI-human system.