Human Last Job: Forward Test
Introduction: Redefining AGI through ROI
When will Artificial General Intelligence (AGI) truly arrive? Rather than defining it through vague concepts like "consciousness" or "human-like behavior," a more objective approach is to view it through the lens of resource and energy ROI (Return on Investment).
The formula is simple: ROI = (Time and cost humans spend utilizing an AI's output) / (Time and cost the AI spent generating the output)
When this ROI consistently exceeds 1 across all cognitive domains, the system crosses the threshold into AGI. For past-facing or present-facing tasks—like summarizing data or generating code—current AI has already achieved this. However, for future-oriented tasks involving the simulation of complex societal and economic phase transitions, the threshold remains uncrossed.
The Wall of the Future and the Illusion of Backtesting
To achieve an ROI > 1 for future prediction, an AI must be able to simulate future scenarios with high probability. The challenge is that predicting the future cannot be validated through backtesting alone. Backtesting relies on past data, making it dangerously easy to adjust parameters and create an illusion of accuracy through overfitting.
To build a truly resilient prediction system, it must be subjected to a forward test—running simulations and waiting for the physical reality of the future to unfold and provide the answers. It is a slow, unforgiving process where deception is impossible.
The Last Job We Cannot Delegate
As AI systems become more advanced, one might assume that eventually, even the testing and validation processes can be fully automated. However, forward testing the ultimate predictive system is the one task that fundamentally cannot be delegated to AI.
If an AI evaluates its own predictive accuracy, it risks falling into a self-referential paradox, distorting its evaluation criteria to justify its own logic. Preventing this requires a physical anchor. The AI’s logic must be continuously grounded against undeniable physical and economic fundamentals—such as the price movements of physical commodities and infrastructure constraints.
Observing this alignment between the system’s logic and physical reality can only be done by humans who actually exist within that physical world. Therefore, forward testing is not just a debugging phase; it is the establishment of the final boundary. It is the protocol of trust and safety before we hand over macro-level decision-making to a fully autonomous system.
Conclusion: A Quiet Responsibility
This forward test is an unglamorous, solitary, and tedious process. It is not about becoming a guide for the world or dictating how humanity should live once their traditional cognitive labor is no longer necessary. Humanity is resilient; even without traditional work, people will invent new rules, discover new values, and find ways to live.
The objective is simply to build a precise instrument, anchor it firmly to reality, and ensure the system does not hallucinate before the transition is complete. Someone has to execute this final, quiet verification. It is, perhaps, the last true job left for humanity.